Cognition and Neuropsychological Changes at Altitude—A Systematic Review of Literature
by
,
Kathrin Bliemsrieder
1, 
Elisabeth Margarete Weiss
2,
Rainald Fischer
3,
Hermann Brugger
4
,
Barbara Sperner-Unterweger
1 and
Katharina Hüfner
1,* 1
University Hospital of Psychiatry II, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Innsbruck Medical University, 6020 Innsbruck, Austria
2
Department of Psychology, University of Innsbruck, 6020 Innsbruck, Austria
3
Department of Pneumology, Medizinische Klinik Innenstadt of the Ludwig-Maximilians-University of Munich, Ziemssenstr. 1, 80336 München, Germany
4
Institute of Mountain Emergency Medicine, Eurac Research, Via Ipazia 2, 39100 Bolzano, Italy
*
Author to whom correspondence should be addressed.
Brain Sci. 2022, 12(12), 1736; https://doi.org/10.3390/brainsci12121736
Submission received: 21 November 2022
/
Revised: 5 December 2022
/
Accepted: 15 December 2022
/
Published: 19 December 2022
(This article belongs to the Section Neuropsychology)
Abstract
:High-altitude (HA) exposure affects cognitive functions, but studies have found inconsistent results. The aim of this systematic review was to evaluate the effects of HA exposure on cognitive functions in healthy subjects. A structural overview of the applied neuropsychological tests was provided with a classification of superordinate cognitive domains. A literature search was performed using PubMed up to October 2021 according to PRISMA guidelines. Eligibility criteria included a healthy human cohort exposed to altitude in the field (at minimum 2440 m [8000 ft]) or in a hypoxic environment in a laboratory, and an assessment of cognitive domains. The literature search identified 52 studies (29 of these were field studies; altitude range: 2440 m–8848 m [8000–29,029 ft]). Researchers applied 112 different neuropsychological tests. Attentional capacity, concentration, and executive functions were the most frequently studied. In the laboratory, the ratio of altitude-induced impairments (64.7%) was twice as high compared to results showing no change or improved results (35.3%), but altitudes studied were similar in the chamber compared to field studies. In the field, the opposite results were found (66.4 % no change or improvements, 33.6% impairments). Since better acclimatization can be assumed in the field studies, the findings support the hypothesis that sufficient acclimatization has beneficial effects on cognitive functions at HA. However, it also becomes apparent that research in this area would benefit most if a consensus could be reached on a standardized framework of freely available neurocognitive tests.
1. Introduction
In the last century, mountaineering has gained in popularity and is now a mass phenomenon with a continually growing number of individuals hiking, skiing, climbing, and trekking in high-altitude (HA) environments. Additionally, HA exposure can occur in work-related contexts (aviation and astronauts or health care services and alpine rescue). However, at higher altitude the reduced partial pressure of oxygen and the decreased barometric pressure can cause acute mountain sickness (AMS) [1], or other possibly life-threatening diseases such as high-altitude pulmonary (HAPE) [2], or cerebral edema (HACE) [3]. With a ratio of about 21 percent of oxygen, the composition of the atmosphere at HA is roughly the same as at sea level. However, the total atmospheric pressure, and therefore oxygen pressure, declines exponentially with altitude [4,5,6]. Symptoms of altitude disease can occur when reaching above an elevation of about 2500 m (8202 ft). HA symptoms become more severe with increasing altitude, and with faster ascent rates, with the decisive factor for acclimatization being the sleeping altitude (of about 1500 m [4921 ft]) [4]. Altitude is classified as medium (1500–3000 m [4921–9843 ft]), high (3000–5500 m [9843–18,045 ft]), or extreme (>5500 m [>18,045 ft]) [6].
Recent reviews focusing on the effects of hypobaric hypoxia on brain functions reported a variety of transient neurological consequences, including HA headache, sleep-disturbances, mental disorders (mood state disturbances, acute psychosis, anxiety) and cognitive impairment [7,8]. Overall, previous research mostly demonstrates that altitude exposure can lead to cognitive impairment. Cognition in these studies has often been seen as a single summary construct and few studies have looked at individual cognitive domains (see also Section 1.1). In addition to hypobaric hypoxia, other physical stressors at HA have also been reviewed concerning their impact on certain cognitive domains, including cold temperatures [9,10], movement strains [11] as well as a lack of recreation and sleep [12]. Polysomnographic studies identified reductions in slow wave sleep as the most consistent altitude-induced change in sleep structure and this decrease in neuronal synchronization during sleep at altitude also appeared to be associated with a decrease in sleep-related memory consolidation in healthy subjects [13]. In addition, mental stressors such as isolation, a new environment, etc., can affect cognition [14,15].
With the brain being more dependent on a constant oxygen supply than many other tissues, there are some brain areas that are especially susceptible to oxygen depletion. To some extent, due to their distal position in the vascular distribution [14], this includes the hippocampus, basal ganglia, and the cerebral cortex [16,17]. The hippocampus plays an important role in learning and memory, as does the cerebral cortex, which is also responsible for higher-level processes of the human brain, such as executive functions [14,18].
In the present review, effects of altitude exposure on cognitive functions in healthy subjects are systematically reviewed and the applied neuropsychological tests are classified according to their superordinate cognitive domains.
1.1. Current State of Research
Several reviews relevant to this work have been published in recent years.
One of the older works by Virués-Ortega, Buela-Casal, Garrido, and Alcázar (2004) [19] reviews the effects of moderate, high, and extreme altitude on neuropsychological functioning. A prolongation of reaction time and changes in accuracy and motor speed were noted, the latter already at lower altitudes. Impairments in encoding and short-term memory were observed mainly at altitudes above 6000 m (19,685 ft). Furthermore, deficits in verbal fluency, speech production, cognitive fluency, and metamemory were noted. They also summarized decreased tactile, olfactory, pain, and taste thresholds as well as somesthetic illusions and visual hallucinations.
A work by Petrassi, Hodkinson, Walters, and Gaydos (2012) [20] included 97 publications (among them 75 articles) and examined hypoxic impairments with respect to aviation-related tasks at moderate altitude, such as mental functions as well as sensory deficits. The results of this study revealed deficits in learning, reaction time, decision making, and certain types of memory, although the authors note that the results appear inconsistent and difficult to replicate. The literature on hypoxic visual deterioration, on the other hand, was found to be more consistent and demonstrated such impairment.
The focused review by Taylor, Watkins, Marshall, Dascombe, and Foster (2016) [21] collected evidence for the impact of temperature, such as heat stress and cold stress, as well as hypoxia, on cognitive function. The accumulated evidence of 16 articles concerning hypoxia suggested that the effects of hypoxia on cognitive function are dependent on both task complexity and altitude level.
McMorris, Hale, Barwood, Costello, and Corbet (2017) [22] included 22 experiments for a systematic meta-regression analysis of the effects on central executive and non-executive tasks. They found low paO2 (arterial oxygen partial pressure), especially between 46.7 and 80 hPa (35–60 mmHg), to be the main predictor of cognitive performance decline. Interestingly, the effect proved to be independent of whether the exposure was conducted under hypobaric or normobaric hypoxic conditions. Contrary to their expectation, no significant differences were found between central executive and non-executive, such as perception/attention and short-term memory, tasks.
A very detailed systematic review by Martin and colleagues (2019) [10] examined various environmental stressors such as heat, cold, and hypoxic stress on cognitive performance. They included 59 articles on hypoxic stress, with studies that investigated military task performance among them. Although the effects of hypoxia on cognitive performance were heterogeneous, the authors concluded that the severity and duration of the stay at HA had the greatest influence on cognition, rather than the complexity of the tasks. Furthermore, the interindividual variation had a large influence on the results. Last but not least, altitude acclimatization seems to have a positive effect on cognitive performance, but an optimal protocol is still pending.
1.2. Critical View upon the State of Research
Comparisons between studies examining cognitive performance under laboratory-induced hypoxia and at HA are hampered by the methodological differences between them, including subject characteristics (normal persons to high end climbers [23,24]; the vast diversity of neuropsychological tests [25,26,27,28,29]; the different study designs (e.g., field expeditions versus controlled environmental chamber studies) [23]; as well as differences in duration and severity of hypoxia, and exposure with or without prior acclimatization [24]). Furthermore, in most cases, for reasons of feasibility of the mountaineering expeditions or due to the limited space in HA chambers, the number of participants was low.
The aim of the current review was to systematically evaluate effects of HA exposure on cognitive performance and to explicitly categorize the applied neuropsychological tests, classifying them into their cognitive domain, and listing their results in relation to the investigated altitudes.
2. Materials and Methods
2.1. Literature Search on High-Altitude Effects on Cognitive Performance
A systematic literature review examining cognitive functions and potential hypoxic deficits at HA was performed, following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) [30].
2.1.1. Search Strategy and Study Selection
A comprehensive systematic literature search was performed in the PubMed electronic database through October 2021. The search string in “all fields” was as follows: “altitude”, “normobaric hypoxia” or “hypobaric hypoxia” combined with “cognition”, “cognitive”, “neuropsychological” or “test”. First, all titles and abstracts were screened to exclude duplicate studies. Afterwards, the full text of any publication considered possibly eligible was retrieved. Additionally, articles found in the literature search were manually checked for any citations to relevant articles not listed in the electronic databases. We included only English-language studies and only studies in peer-reviewed journals obtainable in full text.
2.1.2. Inclusion and Exclusion Criteria
The PICOS approach (patients, intervention, comparator, outcomes, and study design) was used to specify inclusion and exclusion criteria. The search process and the reasons for exclusion are presented in a flow diagram (Figure 1).
The inclusion criteria were studies with: (1) healthy adult subjects exposed to an altitude equal or above 2440 m (8000 ft) (either actual or through generated conditions corresponding to the intended altitude); (2) a cognitive function assessment in the context of altitude exposure using an experimental design; and (3) within-subject design with a control condition, where the baseline test condition may at most be measured up to 1500 m (4921 ft); or between-subjects design with a matched control group tested under normoxia.
Excluded were: (1) studies with a first test time point one month or longer after arrival at altitude and studies with subjects exposed to chronic hypoxia, such as miners, for the possibility of drawing conclusions from the direct effects of altitude; (2) studies that explicitly examined the effect of altitude by modulating another variable, such as sleep deprivation, exercise, or the intake of pharmaceutical agents; (3) studies performing only electrophysiological cognitive measures (e.g., event related potentials); (4) studies conducted with professional pilots or military personnel; and (5) case reports, reviews, expert opinions, comments, or letters to the editor, studies on animals, conference or abstract reports and articles not written in English.
The primary search provided the following: 1404 articles, 21 abstracts, 14 reviews, and two meta-analyses. Additionally, 30 sources were gathered from inspecting the references with the original search criteria. As a whole, 52 articles were included. On two occasions, there are two articles ([31,32,33,34]) with each referring to the same study but presenting different tests; therefore, all four articles are listed in the following. The excluded articles and their reasons for being ruled out are listed in Table A1 in Appendix A.
2.2. Data Extraction and Management
All publications with demographic and experimental data were screened for several factors, such as field or chamber study, hypobaric or normobaric hypoxia intervention, ascent profile, use of the STAR core parameters [35], and subject information. The following data were extracted from each included study: number, sex and mean age of participants, study protocol with experimental conditions, when given, including ascent rate, and duration of altitude or hypoxia exposure, timing and duration of neuropsychological test administration, neuropsychological test type and the related cognitive domains, and significant results indicating changes in cognitive performance.
2.3. Quality Assessment via STAR Data Reporting Guidelines for Clinical High-Altitude Research
The STAR data reporting guidelines were used to evaluate study quality. The aim of the STAR (Strengthening Altitude Research) initiative [35] was to create a standardized collection of core elements for research and reporting in clinical altitude medicine, and can be seen in Table S1 under Supplementary Materials. The core parameters (SETTING, INDIVIDUAL FACTORS, AMS and HACE, HAPE, and TREATMENT) should help to objectivize the research reports and, thus, also support comparability.
3. Results
One main purpose of this review was the classification of the used neuropsychological tests and their aptitude for the assessment of cognitive function at HA.
3.1. Quantitative Description of the Research Methods
Of the analyzed studies, 29 studies (31 articles) were field studies and 23 were classified as laboratory studies, including two studies that investigated both conditions [36,37]. In 21 of the field studies, participants reached the altitude partially by active climbing, and in eight studies there was a passive ascent only. Of the laboratory studies, seven were performed establishing hypoxia via inhalation of a hypoxic gas mixture, eleven took place in a normobaric hypoxia chamber (NHC), and in five studies, the subjects were tested in a hypobaric hypoxia chamber (HHC). In the field investigations, the study sites were located at altitudes between 2590 m (8497 ft) [38] and 7200 m (23,622 ft) [39], with the highest point also reached at 8848 m (29,029 ft) [40]. Among the laboratory studies, the simulated altitudes under normobaric and hypobaric conditions ranged from 2440 m (8000 ft) [41] to 8848 m (29,029 ft) [42] (see also Table 1). All studies were published between 1963 and 2021.
3.2. Qualitative Review of the Collected Studies
STAR core parameters were assessed in all studies (Table S2 under Supplementary Materials).
The use of familiarization sessions/test trials before the start of the actual cognitive assessments has been mentioned in several articles and was included in the tables. These familiarization trials are supposed to minimize learning effects or practice effects in the intraindividual comparisons. To take these learning effects over the course of several tests into account, control groups were involved in eight articles [25,28,31,36,42,47,50,67]. Learning effects were also discussed or considered in another 32 articles. In three articles, extensive familiarization trials were used to try to establish a performance plateau in advance [24,41,51]. In Lefferts et al. (2019) [51], additional training sessions occurred during the field study “to prevent loss of task familiarity owing to the passage of time between test days”. Another method to prevent learning effects, the use of parallel versions or alternative forms of the applied tests, was mentioned in 17 articles [25,27,31,34,40,41,43,46,49,50,53,54,56,67,72,73,74] and is marked in the following by x1 (meaning alternate forms used). Among them, test batteries were used in nine articles: the Computerized Neurocognitive Test Battery CNS Vital Signs [46,74], the CogState Computerized Battery [25], the Cognition Test Battery [43], the PC based Multiple Attribute Task Battery [41], the FACTRETRIEVAL2 Test Battery [54], the Cambridge Neuropsychological Test Automated Battery [31], the ANAM-4th Edition [72,73], and the Defense Automated Neurobehavioral Assessment Test Battery [34].
3.3. Consideration and Further Classification of the Reviewed Neuropsychological Tests
3.3.1. Classification According to the Cognitive Domains Studied
As shown in Table 2, a total of 112 different neuropsychological tests were found, with the Stroop Test being the most frequently used with ten applications, eleven if adding the modified version. Overall, of the 173 test applications performed, 74 showed significant impairment (see also Table 3).
- Orientation
Orientation for time and place depend on the awareness of self in relation to one’s surroundings, presuppose a consistent and reliable integration of perception and attention as well as an awareness of the ongoing narrative and, thus, memory [14]. Cognitive domains with the superordinate term orientation were tested in three studies. Here, the studies conducted in the field by Davranche et al. (2016) [24] at 4350 m (14,272 ft) and Nelson (1990) [54] at over 6500 m (21,325 ft) yielded impairments.
- Attentional capacity, processing speed and working memory
Attention, concentration, and tracking are necessary skills for goal directed behavior. They can only be measured in the context of a cognitive activity sequence, depending on the focus. The temporary storage of information plays an essential role and a common characteristic is them having limited capacity [14]. Twelve different tests were performed to examine attentional capacity in short-term memory. Regarding the field tests, the Auditory Digit Span Test showed impairments at 4280 m (14,042 ft) [45] and at 5100 m (16,732 ft) [25], whereas other authors ([39,56]) found no impairments at higher altitudes in the field. Furthermore, the Memory Search Task at 4330 m (14,206 ft) [28], the Picture Recognition Test at 4280 m (14,042 ft) [45], and the Verbal Free Recall Test [55] showed reductions in performance at 4500 m (14,764 ft) as well as at 5040 m (16,535 ft). Three laboratory tests examined attention, with the Corsi Block Forwards and Digit Span Test-Forward at 4500 m (14,764 ft) [66], and the latter also at 7620 m (25,000 ft) [27] showing deteriorations.
Working memory, also referred to as mental tracking, can deal with more complex cognitive operations and allows information to be maintained in temporary storage and be manipulated [14]. This includes an executive control mechanism to focus attention and block out interference [79]. In the working memory, in 14 performed experiments, seven of them showed changes due to HA, with four tests in De Aquino’s (2012) [66] laboratory study at 4500 m (14,764 ft), namely Corsi Block Backwards, Digit Span Test-Backward, Random Number Generation, and Sequence of Numbers and Letters, showing impairments. Besides that, the Digit Span Test-Backward at over 5334 m (17,500 ft) [27] and the Running Memory Continuous Performance at 4300 m (14,107 ft) [72] also showed alterations in their first study of 2015. All five tests performed in the field showed no alterations.
- Concentration/Focused attention
Attention in terms of concentration or focused attention is believed to be the basis for other, more complex components of cognition [14,80]. Complex attention also requires visual scanning, visuomotor coordination, motor persistence, and response speed and can be measured via symbol substitution tests [81]. Divided attention can be assessed by Trail Making Tests and it further requires scanning, visuomotor tracking, and cognitive flexibility [14]. To investigate focused attention, altitude-induced changes were examined using 20 neuropsychological tests. Limitations in performance were found in the Code Substitution Task at 4330 m (14,206 ft) [28], in the Continuous Performance Test at 5500 m (18,045 ft) [74], and in four investigations with the Digit Symbol Substitution Test, starting at 3269 m (10,725 ft) [34,49,60,74]. In contrast, improvements in the Digit Symbol Substitution Test were found at 5100 m (16,732 ft) [25] with no changes in two other examinations [43,46]. Using the Frankfurt Attention Inventory-2, subjective impaired attentional functions were reported in both field and laboratory testing [36]. In the Paced Auditory Serial Addition Test, the results were heterogenous, reaching from deterioration, improvement, to no change. The Trail Making Test A showed impaired performance in two of five studies, once in a field study at 3500 m (11,483 ft) [50] and in a laboratory study at 5334 m (17,500 ft) [27]. Two tests for response inhibition showed no changes with the Go/No-Go test [34,72].
- Processing speed
Processing speed can be examined with the help of tests of response speed in regards to reaction time and accuracy data, whereas deceleration is often subject to attentional deficits [82]. Processing speed was studied in eleven experiments, approx. half of which showed no significant changes in altitude. Limitations were found in different Reaction Time Tests, e.g., in Subudhi et al. (2014) [34] in two investigations at 5260 m (17,257 ft). The results using the Psychomotor Vigilance Test showed significantly impaired performance at 3800 m (12,467 ft) [43] and at 5050 m (16,568 ft) [32]. At an altitude of 2590 m (8497 ft), Latshang et al. (2013) [38] showed no changes in the outcome of the Psychomotor Vigilance Test, as did Falla et al. (2021) [49] at 3269 m (10,725 ft), although deteriorations correlated with poor sleep. In Harris et al. (2009) [25], improved reaction times were found at 5100 m (16,732 ft).
- Perception
Another topic of particular interest in HA research is visual and auditory perception. Visual perception tests require little or no physical handling of the test material. However, the complexity of brain functions makes overlap inevitable, and most tests also assess other functions such as attention, spatial orientation, or memory. Auditory perception examines, in part, skills in phoneme discrimination and speech sensation [14]. In perception, five of eight trials were unaffected by altitude [34,43,53,56]; Reading of Briefly Displayed Letters improved at 3450 m (11,319 ft) in both the field and the laboratory [37], whereas the Pattern Comparison Task showed deterioration at 4330 m (14,206 ft) [28].
- Memory
Efficient memory can on one hand retain information, and is examined by assessing encoding using immediate retrieval trials. Second, it can retain the information even after the application of interference during a delay period. For the measurement of memorability, it is also important to understand whether underperformance is a retention or a retrieval problem [14]. For memory, three subcategories were examined in more detail in a total of eight studies. Long-term memory was not affected at altitudes up to 7100 m (23,294 ft) [54]. For verbal memory, two positive tests were found, one using Rey’s Auditory-Verbal Learning Test in the field at 5300 m (17,388 ft) [50], and the Verbal Memory Test in the laboratory at 5500 m (18,045 ft) [74]. Visual memory was also impaired at 5500 m (18,045 ft) [74] and on the Match to Sample Test at 5260 m (17,257 ft) [34].
- Verbal functions and language skills
This heading includes tests for aphasia. Here, spontaneous speech, the ability to repeat words or sentences, syntax comprehension, the power to name things, and reading and writing are tested [14]. Two tests for verbal functions showed impairments beyond an altitude of 4340 m (14,239 ft) [56,57].
- Construction and motor performance
This includes copying abilities, assembling and building, and, further, the assessment of motor skills and manual dexterity functions [14]. With regard to construction and motor performance, seven of twelve different tests showed impairments, although these were only examined in one study each. Two tests with multiple occurrences showed different results, such as Finger Tapping, with a significant deterioration in a laboratory test at 5500 m (18,045 ft) [42]. Deficits in the Pegboard-Psychomotor Test were shown at an altitude of 5300 m (17,388 ft) [50] and again at 5500 m (18,045 ft) [42]; however, Merz et al. (2013) [53] found unimpaired performance at 6265 m (20,555 ft) using the Pegboard-Psychomotor Test.
- Concept formatting and reasoning
This category contains investigations by means of verbal procedures and visual formats such as mathematical, i.e., arithmetic reasoning problems, or, for example, by sorting and shifting [14]. For problems requiring concept formatting and reasoning, three of the six studies with six different tests were significantly altered at HA, two of them with impairment, namely in the Category Search Task performed at 4330 m (14,206 ft) [28] and the Number Ordination—Rey’s Test at 5500 m (18,045 ft) [42]. However, in the Robinson’s Numbers Test [57], the performance improved at HA at 4340 m (14,239 ft).
- Executive functions
Executive functions, such as planning and decision making, are the most complex behaviors and are solid cognitive abilities with sufficient accountability necessary to respond appropriately to novel situations. At HA, the assessment of potential dangers is essential for survival. They further form the basis of many skills in the areas of cognition, emotion, and social skills. Willpower, planning and decision-making, goal-directed action, and effective performance are listed as four major components in the concept of executive functions [14]. With 22 tests and 43 experiments, executive functions were the most extensively studied cognitive domain in the collected studies. Approximately half of the experiments were associated with impairment in executive functions or increased risk behavior. In contrast, three studies found improvements or reduced risk behavior at HA. Regarding the three most common tests, the N-Back Number Task, Stroop Test, and Trail Making Test B, there are still mixed results. For the N-Back Number Task, impaired performance was found at the highest altitude tested, 5160 m (16,929 ft) [51], and in the only laboratory test at 4500 m (14,764 ft), by Williams et al. (2019) [75]. The Stroop Test was used ten times [23,27,46,50,52,59,62,64,66,74]. In the field examinations, the results were very heterogeneous; twice there was no disturbance [23,46], twice there was a worsening [50,59], but on the follow-up examination there was no further deviation, and once there was an improvement [52]. In the laboratory studies, four out of five tests showed impaired functions in the subjects [27,62,66,74]; the altitudes investigated ranged from 3500 m (11,483 ft) [62] to 7620 m (25,000 ft) [27]. The study by Ochi et al. (2018) [64], which investigated three altitudes from 2000 to 5000 m (6562–16,404 ft), merely found improvements in reaction time. Trail Making Test B revealed impairments in two of five tests, in the field above 3500 m (11,483 ft) [50] and the laboratory above 5334 m (17,500 ft) in [27]. The field study by Harris et al. (2009) [25] elicited improved results at 5100 m (16,732 ft).
- Further and mixed domains
Lastly, the remaining domain of affective flexibility yielded mixed results in two examinations, with a significant deterioration at 4300 m (14,108 ft) [73] and no changes at 4500 m (14,764 ft) [78]. A Mini-Mental State Examination, screening multiple cognitive domains (concentration or working memory, language and praxis, orientation, memory, and attention span [83]), failed to detect any deficits at 4500 m (14,764 ft) [77].
Table 2.
Classification of neuropsychological tests into supercategories of cognitive domains supplemented by article and brief outcome.
Table 2.
Classification of neuropsychological tests into supercategories of cognitive domains supplemented by article and brief outcome.
| Cognitive Domain | Neuropsychological Tests | Outcome and Altitude
| First Authors | |
|---|---|---|---|---|
| Orientation | ||||
| Spatiotemp-oral integration | Time Wall Estimation Task | Not affected at 3842 m (LT–HHC)
| De Bels (2019) [76] | |
| Time Perception Task | Impaired at 4350 (FT–P), underestimation of durations
| Davranche (2016) [24] | ||
| Confidence judgement | Feeling of Knowing | Impaired at 6500 m and 7100 (FT–A)
| Nelson (1990) [54] | |
| Attentional capacity, processing speed and working memory | ||||
| Short term memory | Code (Digit Symbol) Substitution –delayed recall | Not affected at 5260 m (FT–P)
| Subudhi (2014) [34] | |
| Corsi Block Forwards | Impaired 4500 m (LT–NHC)
| De Aquino Lemos (2012) [66] | ||
| Digit Span Forward | Not affected at 3700 m (FT–NA)
| Zhang (2013) [60] | ||
Not affected at 3800 m (FT–NA)
| Phillips (1963) [57] | |||
Impaired at 5100 m (FT–A)
| Harris (2009) [25] | |||
Not affected at 5273 m/6348 m (FT–A)
| Petiet (1988) [56] | |||
Not affected at 7200 m (FT–A)
| Malle (2016) [39] | |||
Impaired at 4500 m (LT–NHC)
| De Aquino Lemos (2012) [66] | |||
Impaired at 7620 m (LT–HHC)
| Asmaro (2013) [27] | |||
| Auditory Digit Span | Impaired at 4280 m (FT–P)
| Shi (2016) [45] | ||
| Visual Digit Span | Not affected at 4280 m (FT–P)
| Shi (2016) [45] | ||
| Memory Search Task | Impaired at 4330 m (FT–A)
| Kramer (1993) [28] | ||
| Picture Recall Test | Not affected at 4280 m (FT–P)
| Shi (2016) [45] | ||
| Picture Recognition Test | Impaired at 4280 m (FT–P)
| Shi (2016) [45] | ||
| Pocket Calculator Cognitive Motor Task | Not affected at 5400 m (FT–A)
| Bonnon (1999) [47] | ||
| Sentence Repetition | Not affected at 3109 m/3810 m (FT–NA)
| Weigle (2007) [59] | ||
| Verbal Free Recall | Impaired at 4500 m/5040 m (FT–A)
| Pelamatti (2003)[55] | ||
| Word Span Forward | Not affected at 3800 m (FT–NA)
| Phillips (1963) [57] | ||
Not affected at 3800 m (FT–NA)
| Phillips (1966) [58] | |||
| Working memory | CogState: Working Memory Task Accuracy | Not affected at 5100 m (FT–A)
| Harris (2009) [25] | |
| Corsi Blocks Backwards | Impaired at 4500 m (LT–NHC)
| De Aquino Lemos (2012) [66] | ||
| Digit Span Test Backwards | Not affected at 3700 m (FT–NA)
| Zhang (2013) [60] | ||
Not affected at 5100 m (FT–A)
| Harris (2009) [25] | |||
Not affected at 7200 m (FT–A)
| Malle (2016) [39] | |||
Impaired at 5334 m/7620 m (LT–HHC)
| Asmaro (2013) [27] | |||
Impaired at 4500 m (LT–NHC)
| De Aquino Lemos (2012) [66] | |||
| Memory Interference Task (AB/AC paradigm) | Improved at 4000 m (LT–BHG)
| Loprinzi (2019) [63] | ||
| Operational Span Protocol with VWMC | Not affected at 3000 m (LT–NHC)
| Parker (2017) [68] | ||
| Random Number Generation | Impaired at 4500 m (LT–NHC)
| De Aquino Lemos (2012) [66] | ||
| Running Memory Continuous Performance Test | Impaired at 4300 m (LT–NHC)
| Seo (2015) [72] | ||
Not affected at 4300 m (LT–NHC)
| Seo (2017) [73] | |||
| Sequence of Numbers and Letters | Impaired at 4500 m (LT–NHC)
| De Aquino Lemos (2012) [66] | ||
| Sternberg’s Memory Search | Not affected at 5260 m (FT–P)
| Subudhi (2014) [34] | ||
| Concentration/Focused attention | ||||
| Attention | Attention Switching Task | Not affected at 5050 m (FT–P)
| Pun and Guadagni (2018) [31] | |
| Code (Letter Number) Substitution Task | Impaired at 4330 m (FT–A), insensitive to practice compared to CG
| Kramer (1993) [28] | ||
| CogState: Monitoring Task Reaction Time | Not affected at 5100 m (FT–A)
| Harris (2009) [25] | ||
| CogState: Monitoring Task Accuracy | Not affected at 5100 m (FT–A)
| Harris (2009) [25] | ||
| CogState: Working Memory Task Reaction Time | Not affected at 5100 m (FT–A)
| Harris (2009) [25] | ||
| Colorado Perceptual Speed Test | Not affected at 5300 m (FT–A)
| Karinen (2017) [40] | ||
| Continuous Performance Test | Not affected at 5500 m (LT–BHG)
| Altbäcker (2019)[61] | ||
Impaired at 5500 m (LT–NHC)
| Turner (2015) [74] | |||
| Digit Symbol Substitution Test | Impaired at 3269 m—session 3 (FT–A)
| Falla (2021) [49] | ||
Impaired at 3700 m (FT–NA)
| Zhang (2013) [60] | |||
Not affected at 3800 m (FT–P)
| Frost (2021) [43] | |||
Not affected at 4554 m (FT–A)
| Bjursten (2010) [46] | |||
Improved at 5100 m (FT–A)
| Harris (2009) [25] | |||
Impaired at 5260 m (FT–P)
| Subudhi (2014) [34] | |||
Impaired at 5500 m (LT–NHC)
| Turner (2015) [74] | |||
| Divided Attention Steering Simulator | Not affected at 2590 m (FT–P)
| Latshang (2013) [38] | ||
| Eriksen Flanker | Not affected at 5160 m (FT–A)
| Lefferts (2019) [51] | ||
Not affected at 4500 m (LT–NHC)
| Williams (2019) [75] | |||
| Frankfurt Attention Inventory-2 | Impaired at 5339 m (FT–A)
| Limmer (2018) [36] | ||
Impaired at 5800 m (LT–NHC)
| ||||
| Letter Cancellation Test | Impaired at 3500 m/5300 m (FT–A)
| Griva (2017) [50] | ||
| Paced Auditory Serial Addition Test | Impaired at 4280 m (FT–P)
| Shi (2016) [45] | ||
Improved at 5273 m/6348 m (FT–A)
| Petiet (1988) [56] | |||
Not affected at 7200 m (FT–A)
| Malle (2016) [39] | |||
| Paced Visual Serial Addition Test | Impaired at 4280 m (FT–P)
| Shi (2016) [45] | ||
| Rapid Visual Processing Test | Not affected at 5050 m (FT–P)
| Pun and Guadagni (2018) [31] | ||
| Ruff 2 and 7 Selective Attention Test | Not affected at 6265 m (FT–A)
| Merz (2013) [53] | ||
| Selective Auditory Attention Task | Not affected at 5273 m/6348 m (FT–A)
| Petiet (1988) [56] | ||
| Simple Reaction Time Test Span dSRT | Impaired at 5260 m (FT–P)
| Roach (2014) [33] | ||
| Symbol Digit Modalities test | Impaired at 3500 m/5300 m (FT–A)
| Griva (2017) [50] | ||
| Trail Making Test A | Not affected at 2590 m (FT–P)
| Latshang (2013) [38] | ||
Impaired at 3500 m/5300 m (FT–A)
| Griva (2017) [50] | |||
Not affected at 5050 m (FT–P)
| Pun and Hartmann (2018) [32] | |||
Not affected at 5500 m (FT–A)
| Issa (2016) [23] | |||
Impaired at 5334 m/7620 m (LT–HHC)
| Asmaro (2013) [27] | |||
| Response Inhibition | Go/No-Go Test | Not affected at 4300 m (LT–NHC)
| Seo (2015) [72] | |
Not affected at 5260 m (FT–P)
| Subudhi (2014) [34] | |||
| Processing speed | ||||
| Reaction time | CogState: Simple Reaction Time | Improved at 5100 m (FT–A)
| Harris (2009) [25] | |
| Deary–Liewald Reaction Time Task | Not affected at 4500 m (LT–NHC)
| Williams (2019) [75] | ||
| Perceptual Vigilance task | Not affected at 3842 m (LT–HHC)
| De Bels (2019) [76] | ||
| Procedural Reaction Time | Impaired at 5260 m (FT–P)
| Subudhi (2014) [34] | ||
| Psychomotor Vigilance Test | Not affected at 2590 m (FT–P)
| Latshang (2013) [38] | ||
Not affected at 3269 m (FT–A) but higher impairment for poor sleepers
| Falla (2021) [49] | |||
Impaired at 3800 m (FT–P)
| Frost (2021) [43] | |||
Impaired at 5050 m (FT–P)
| Pun and Hartmann (2018) [32] | |||
| Reaction Time Task | Not affected at 5050 m (FT–P)
| Pun and Guadagni (2018) [31] | ||
| Simple Reaction Time Test | Not affected at 3700 m (FT–NA)
| Zhang (2013) [60] | ||
Impaired at 5260 m (FT–P)
| Subudhi (2014) [34] | |||
| Perception | ||||
| Visual perception | Line Bisection Test | Not affected at 6265 m (FT–A)
| Merz (2013) [53] | |
| Reading of Briefly Displayed Letters | Improved at 3450 m (FT–P)
| Schlaepfer (1992) [37] | ||
Improved at 3450 m (LT–BHG)
| ||||
| Visuospatial analytic ability | Abstract Matching | Not affected at 3800 m (FT–P)
| Frost (2021) [43] | |
| Line Orientation Task | Not affected at 3800 m (FT–P)
| Frost (2021) [43] | ||
Not affected at 5273 m/6348 m (FT–A)
| Petiet (1988) [56] | |||
| Pattern Comparison Task | Impaired at 4330 m (FT–A)
| Kramer (1993) [28] | ||
| Spatial Discrimination | Not affected at 5260 m (FT–P)
| Subudhi (2014) [34] | ||
| Memory | ||||
| Long term memory | FACTRETRIEVAL2 Test Battery | Not affected at 5400 m/6500 m/7100 m (FT–A)
| Nelson (1990) [54] | |
| Verbal memory | Rey’s Auditory–Verbal Learning Test | Not affected at 5100 m (FT–A)
| Harris (2009) [25] | |
Impaired at 5300 m (FT–A)
| Griva (2017) [50] | |||
| Selective Reminding Test | Not affected at 5273 m/6348 m (FT–A)
| Petiet (1988) [56] | ||
| Verbal memory test | Not affected at 4554 m (FT–A)
| Bjursten (2010) [46] | ||
Impaired at 5500 m (LT–NHC)
| Turner (2015) [74] | |||
| Visual memory | CogState: Learning Task Accuracy | Not affected at 5100 m (FT–A)
| Harris (2009) [25] | |
| Match to sample | Impaired at 5260 m (FT–P)
| Subudhi (2014) [34] | ||
| Visual Memory Test | Not affected at 4554 m (FT–A)
| Bjursten (2010) [46] | ||
Impaired at 5500 m (LT–NHC)
| Turner (2015) [74] | |||
| Visual Object Learning Task | Not affected at 3800 m (FT–P)
| Frost (2021) [43] | ||
| Verbal functions and language skills | ||||
| Speech production and syntax comprehension | Boston Naming Test | Impaired at 5273 m/6348 m (FT–A)
| Petiet (1988) [56] | |
| Robinson’s Rhymes (and Numbers) tests | Impaired at 4340 m (FT–NA)
| Phillips (1963) [57] | ||
| Construction and motor performance | ||||
| Copying | Benton Visual Retention Test | Not affected at 3700 m (FT–NA)
| Zhang (2013) [60] | |
| Assembling and building | Block Design | Impaired at 3500 m/5300 m (FT–A)
| Griva (2017) [50] | |
| Psychomotor ability | Computer-based Psychomotor Speed Task | Impaired at 3000 m (LT–NHC)
| Pighin (2012) [70] | |
| Finger Tapping | Not affected at 4330 m (FT–A)
| Kramer (1993) [28] | ||
Not affected at 4554 m (FT–A)
| Bjursten (2010) [46] | |||
Not affected at 5273 m/6348 m (FT–A)
| Petiet (1988) [56] | |||
Impaired at 5500 m (LT–NHC)
| Turner (2015) [74] | |||
| Motor Praxis Task | Not affected at 3800 m (FT–P)
| Frost (2021) [43] | ||
| Pegboard Psychomotor Test | Impaired at 5300 m (FT–A)
| Griva (2017) [50] | ||
Not affected at 6265 m (FT–A)
| Merz (2013) [53] | |||
Impaired at 5500 m (LT–HHC)
| Abraini (1998) [42] | |||
| Pursuit Aiming Test | Impaired at 3700 m (FT–NA)
| Zhang (2013) [60] | ||
| Santa Ana Manual Dexterity Test | Impaired at 3700 m (FT–NA)
| Zhang (2013) [60] | ||
| Surgical Skills | Impaired at 3000 m (LT–NHC)
| Parker (2017) [68] | ||
| Visual Motor Reaction Time | Impaired at 3109 m/3810 m (FT–NA)
| Weigle (2007) [59] | ||
| Ocular motor performance | King–Devick Test | Impaired at 7101 m (LT–BHG)
| Stepanek (2013) [65] | |
| Saccadic Eye Movement | Not affected at 6265 m (FT–A)
| Merz (2013) [53] | ||
| Concept formatting and Reasoning | ||||
| Concept formation | Category Search Task | Impaired at 4330 m (FT–A)
| Kramer (1993) [28] | |
| Mental Efficacy, reasoning | Gorham’s Proverbs | Not affected at 5273 m/6348 m (FT–A)
| Petiet (1988) [56] | |
| Number Ordination—Rey’s test | Impaired at 5500 m (LT–HHC)
| Abraini (1998) [42] | ||
| Robinson’s (Rhymes and) Numbers tests | Improved at 4340 m (FT–NA)
| Phillips (1963) [57] | ||
| Verbal Reasoning Test | Not affected at 3109 m/3810 m (FT–NA)
| Weigle (2007) [59] | ||
| Arithmetic Reasoning Problems | Modified Math Processing Task | Not affected at 3842 m (LT–HHC)
| De Bels (2019) [76] | |
| Executive functions | ||||
| Executive function | Attention Shifting Test | Not affected at 4554 m (FT–A)
| Bjursten (2010) [46] | |
Impaired at 5500 m (LT–NHC)
| Turner (2015) [74] | |||
| Category Fluency Tasks | Not affected at 3000 and 4500 m (LT–HHC)
| Pavlicek (2005) [78] | ||
| Controlled Oral Word Association | Not affected at 5100 m (FT–A)
| Harris (2009) [25] | ||
Impaired at 3500 m/5300 m (FT–A)
| Griva (2017) [50] | |||
| Choice Reaction Test (Schuhfried) | Impaired at 3500 m and 5500 m (LT–NHC)
| Pramsohler (2017) [71] | ||
| CogState: Choice Reaction Time | Not affected at 5100 m (FT–A)
| Harris (2009) [25] | ||
| Four-Choice Reaction Time | Impaired at 4000 m/5565 m (FT–A)
| Dykiert (2010) [48] | ||
| MATB–Multiple Attribute Task Battery | Impaired at 2440 m (LT–BHG)
| Kourtidou-Papadeli (2008) [41] | ||
| N-Back Number Task | Not affected at 2590 m (FT–P)
| Latshang (2013) [38] | ||
Not affected at 3800 m (FT–P)
| Frost (2021) [43] | |||
Impaired at 5160 m (FT–A), improved reaction time
| Lefferts (2019) [51] | |||
Impaired at 4500 m (LT–NHC)
| Williams (2019) [75] | |||
| Number Comparison Test | Not affected at 5300 m (FT–A)
| Karinen (2017) [40] | ||
| One Touch Stockings of Cambridge Task | Not affected at 5050 m (FT–P)
| Pun and Guadagni (2018) [31] | ||
| Pro-Point and Anti-Point Tasks | Not affected at 4330 m (FT–P)
| Gibbons (2020) [44] | ||
| Rapid Cognitive Assessment Tool | Not affected at 5500 m (FT–A)
| Issa (2016) [23] | ||
| Ruff Figural Fluency Test | Not affected at 6265 m (FT–A)
| Merz (2013) [53] | ||
| Simon Task | Impaired at 4350 (FT–P)
| Davranche (2016) [24] | ||
| Stroop Test | Impaired at 3109 m, not affected at 3810 m (FT–NA)
| Weigle (2007) [59] | ||
Impaired at 3500 m/5300 m (FT–A)
| Griva (2017) [50] | |||
Improved at 4240 m (FT–A)
| Lefferts (2020) [52] | |||
Not affected at 4554 m (FT–A)
| Bjursten (2010) [46] | |||
Not affected at 5500 m (FT–A)
| Issa (2016) [23] | |||
Impaired at 3500 m (LT–BHG)
| Chroboczek (2021) [62] | |||
Impaired 4500 m (LT–NHC)
| De Aquino Lemos (2012) [66] | |||
Not affected at 2000 m/3500 m/5000 m (LT–BHG), improved reaction time
| Ochi (2018) [64] | |||
Impaired at 5500 m (LT–NHC)
| Turner (2015) [74] | |||
Impaired at 7620 m (LT–HHC)
| Asmaro (2013) [27] | |||
| Number-Size Stroop Variant Task | Not affected at 5500 m (LT–BHG)
| Altbäcker (2019) [61] | ||
| Trail Making Test B | Impaired at 3500 m and 5300 m (FT–A)
| Griva (2017) [50] | ||
Not affected at 5050 m (FT–P)
| Pun and Hartmann (2018) [32] | |||
Improved at 5100 m (FT–A)
| Harris (2009) [25] | |||
Not affected at 5500 m (FT–A)
| Issa (2016) [23] | |||
Impaired at 5334 m/7620 m (LT–HHC)
| Asmaro (2013) [27] | |||
| Verbal Letter Fluency | Not affected at 3000/4500 m (LT–HHC)
| Pavlicek (2005) [78] | ||
| Visual Choice Reaction Time | Impaired at 4330 m (FT–A)
| Kramer (1993) [28] | ||
Not affected at 6500 m (LT–HHC)
| Abraini (1998) [42] | |||
| Planning and decision making | Balloon Analogue Risk Taking task | Risk-taking not affected at 3269 m—session 4 (FT–A) with faster reaction times and higher earnings
| Falla (2021) [49] | |
Risk-taking not affected at 3800 m (FT–P) with faster reaction times
| Frost (2021) [43] | |||
Impaired, higher risk taking at 3000 m (LT–NHC)
| Pighin (2019) [69] | |||
| Computer-based Risk-Taking Task | Increased risk-taking for choices involving losses at 3000 m (LT–NHC)
| Pighin (2012) [70] | ||
| Game of Dice Task | Increased risk behavior at 4500 m (LT–NHC) with reduced risk behavior in preacclimatized subjects compared to unacclimatized subjects
| Niedermeier (2017) [67] | ||
| Further and mixed domains | ||||
| Affective flexibility | Lateralized Tachistoscopic Lexical Decision Task | Not affected at 3000/4500 m (LT–HHC)
| Pavlicek (2005) [78] | |
| Total Mood Disturbance | Impaired at 4300 m (LT–NHC)
| Seo (2017) [73] | ||
| Unspecified individual test outcome | Mini-Mental State Examination: concentration or working memory, language and praxis, orientation, memory, attention span, and other cognitive factors | Not affected at 4500 m (LT–HHC)
| Nakano (2015) [77] | |
Legend. A: Active mode of ascent; ASL: Above sea level; BCA: Baseline cognitive assessment; BHG: Breathing of hypoxic gas mixture; CA: Cognitive assessment; CG: Control group; FT: Field test; HHC: Hypobaric hypoxia chamber; LT: Laboratory test; NA: Mode of ascent/information not available; NHC: Normobaric hypoxia chamber; P: Passive mode of ascent; SL: Sea level. Note. The neuropsychological tests are grouped according to the cognitive domains studied, with a brief result and the study conditions. Where the same tests have been used, the field studies are mentioned before the laboratory studies and are ordered by increasing altitudes. The mode of ascent is given in parentheses. Neuropsychological tests were merged if they were likely identical with a slight change in name (e.g., the Digit Symbol Substitution Test (DSST) was named Symbol Digit Substitution Test in one study).
Table 3.
Frequency of neuropsychological test results depending on research condition.
| Research Condition | Neuropsychological Test Application N | |||
| Not affected | Impairment | Improvement | Total | |
| FT | 74 | 41 | 7 | 122 |
| A | 41 | 22 | 5 | 68 |
| NA | 9 | 6 | 1 | 16 |
| P | 24 | 13 | 1 | 38 |
| Maltitude FT | 4870 m (15,978 ft) | 4364 m (4364 ft) | 4811 m (15,784 ft) | 4696 m (15,407 ft) |
| Research condition | Not affected | Impairment | Improvement | Total |
| LT | 16 | 33 | 2 | 51 |
| BHG | 3 | 3 | 2 | 8 |
| HHC | 8 | 7 | 15 | |
| NHC | 5 | 23 | 28 | |
| Maltitude LT | 4539 m (14,892 ft) | 4748 m (15,577 ft) | 3725 m (12,221 ft) | 4642 m (15,230 ft) |
Legend. A: Active mode of ascent; BHG: Breathing of hypoxic gas mixture; FT: Field test; HHC: Hypobaric hypoxia chamber; LT: Laboratory test; NA: Mode of ascent not specified; NHC: Normobaric hypoxia chamber; P: Passive mode of ascent. Looking back at Table 1, studies conducted in the field were slightly superior in number with 29 expeditions and 31 articles compared to those 23 conducted in the laboratory. Regarding test applications in Table 3, more than twice as many took place in the field than in the laboratory.
3.3.2. Classification According to the Numerical Frequency of Results
Table 3 below provides an overview of the frequency of results depending on the research conditions, with test results divided into no alteration, impairment, and improvement. In the literature, the improvements listed in the tables are most likely attributed to learning effects from the repeated measurements and are not further considered here for simplification reasons. The numbers from Table 3 suggest that the measured impairments might have something to do with the rate of acclimatization. Mean values were calculated in relation to the altitudes showing impairment in field (1) versus laboratory studies (2). Regarding the results showing impairment on several levels of altitude, the lowest significant level was chosen. Due to different variances, a t-Test assuming unequal variances was calculated, and the mean altitudes did not differ (3).
Maltitude (impairment field tests) = 4364 m (4364 ft), (range 3109–6500 m [10,200–21,325 ft])
Maltitude (impairment chamber tests) = 4748 m (15,577 ft), (range 2440–7620 m [8000–25,000 ft])
S2field = 652,322; S2chamber = 1336,602; p = 0.0056
Of the 173 tests applied (sum of field and laboratory tests), 70.5% were conducted in the field. Of the field tests, slightly more than half of the total 122 test applications were performed under active ascent. Of all tests performed in the field, 60.7% showed no impairment, 5.7% showed improvement, and 33.6% found significant differences at HA. In active ascent, 60.3% showed no alteration, and 32.4% showed deterioration. In passive ascent, 63.2 % of the trials had no alterations, and 34.2% had deteriorations. Of the 51 laboratory tests, 31.4% showed no change, in 3.9% there was an improvement, and 64.7% showed deterioration in percentage terms. Numerically, in hypoxic gas mixture testing and hypobaric chamber studies, no impairment occurred about as often as impairment. Of the studies with normobaric hypoxia, 82.1 % showed hypoxia-related deterioration.
3.4. Overview of the Results
Figure 2A provides an overview of the test results in field studies, and Figure 2B the test results in laboratory studies, divided into impairment, no affection, and improvement, and plotted against altitude. Regarding the results showing impairment on several levels of altitude, the lowest significant level was chosen. For results without affections at altitude, the highest level of altitude was selected.
4. Discussion
The aim of the review was not only to report an overview of the study results and summarize the evidence for and against cognitive impairment at moderate, high and extreme altitudes, but also to provide a closer look at the neuropsychological tests used. For this purpose, they were grouped under the respective cognitive domains and the results of each neuropsychological test were listed in detail.
4.1. Major Findings
The major findings of the current analysis were that 112 different tests have been used. With 74 of 173 test applications per subject, less than half of the tests resulted in impairment. A novel approach in this review was to assign each neuropsychological test to its cognitive domain. Since some brain regions appear to be more dependent on oxygen, it would be interesting to see whether this also manifests itself in differences in the individual cognitive domains. Attentional capacity, concentration, and executive functions were the most frequently studied cognitive domains. However, it is not possible to conclude that they were more sensitive than others, because we found impairments in all cognitive domains.
In the most extensively studied cognitive domain “Attentional capacity, processing speed and working memory”, 5 out of 21 field studies yielded impaired results. However, it is noticeable that out of the thirteen laboratory tests, nine found deteriorations above the simulated altitude of 4300 m (14,108 ft). It seems possible that some cognitive domains are more likely to be distracted by sudden hypoxic conditions than others, as might be the case in the laboratory studies.
4.1.1. Discussion of Threshold Altitude
An obvious conclusion would be that there are preconditions, such as a threshold altitude, under which significant differences collected with a particular test can be reproduced. A good example that this is partially true can be found in the Psychomotor Vigilance Test, which was used in four field studies. In an altitude-dependent order of the results, two, namely the studies of Frost et al. (2021) [43] at 3800 m (12,467 ft) and, further, by Pun and Hartmann (2018) [32] at 5050 m (16,568 ft), show impairments. The investigations of reaction time using the Psychomotor Vigilance Test at 2590 m (8497 ft) [38] and at 3269 m (10,725 ft) [43] show no impairments. Therefore, a logical conclusion would be to assume that the subjects’ ability to respond at sea level are limited with an increase in the altitude of the study. Regarding the Psychomotor Vigilance Test, in particular, this would be between an altitude of 3269 m (10,725 ft) and 3800 m (12,467 ft). The picture is similar for the N-Back Number Task, which was used in four tests and twice showed an impairment at HA. The field test of Frost et al. (2021) [43] at 3800 m (12,467 ft) was without changes, whereas the laboratory test of Williams et al. (2019) [75] at 4500 m (14,764 ft) shows significant differences.
That this “threshold altitude” cannot be generalized to other tests appears evident, with reference to the most extensively studied cognitive domain of executive functions. In this domain, a large number of different tests was used, some of which showed no impairment up to very high altitudes, such as the Ruff Figural Fluency Test of Merz et al. (2013) [53] at 6265 m (20,555 ft) in the field.
The Stroop Task is the most represented with ten applications and an overview of the results of the studies concerned raises new questions. Namely, of the five field tests, the study conducted at the lowest point, 3109 m (10,200 ft), by Weigle et al. (2007) [59], deviates from the norm, whereas the study conducted at the highest point, 5500 m (18,045 ft), by Issa et al. (2016) [23] is found to be unaffected.
4.1.2. Effects of the Ascent Mode
The mode of ascent could influence the results of neurocognitive tests at HA. Roughly broken down, the passive mode of ascent using cars or mountain cable cars shows higher ascent rates than for an active ascent on foot. As described before, a slower ascent contributes to better acclimatization [10,84]. With reference to Davrache et al. (2016) [24], better acclimatization would result in fewer negative effects caused by HA. In laboratory tests, in most cases, hypoxic conditions were established much faster than they would be via active ascent in field studies. Looking again at the Stroop Test, it is noticeable that impairments were found in four out of five laboratory tests, starting at 3500 m (11,483 ft) [62], up to 7620 m (25,000 ft) [74].
In addition, there seem to be other issues such as test–retest reliability, which can be seen unprecedentedly in the two studies by Seo et al. (2015 and 2017). For example, the first study in 2015 [72] showed significant changes in the Running Memory Continuous Performance Test, but the re-run in 2017 [73] could not replicate this result. If mathematical significance calculations can exclude accidental events, there must be other influencing mediators that have not yet been conclusively clarified. The obvious and already extensively researched ones would be, for example, physical strain, cold, or the quality of sleep.
4.1.3. Differences of Field and Chamber Test Applications and Consequent Assumptions
Far more than twice as many test applications took place in the field and there is a difference in the number of significant results. Proportionally, the tests that found impairments in the field at HA amounted to about one third of all tests conducted in the field and slightly less than two thirds showed no changes. In contrast, for laboratory tests, the ratio of tests without altitude-induced changes and those with impairments seemed to be almost reversed. Since there was no difference between the calculated mean altitude of impairments in field versus laboratory test settings, it is yet unclear what exactly is the reason for cognitive performance being proportionally more often impaired in laboratory studies than in field studies. The more rapid onset of compromising circumstances and insufficient acclimatization could be held accountable. As mentioned previously, Martin et al. [10] had concluded that the duration of the altitude exposure and altitude level had the greatest impact on cognition, and that altitude acclimatization appeared to have a positive effect on cognitive performance. In field studies, the ascent rate is decisively lower compared to that of passive field tests. In addition, the overall duration is longer than in most laboratory studies, which means that acclimatization can take place over a longer period. In conclusion, this review also suggests that sufficient acclimatization has a beneficial effect on cognitive functions at HA.
Alongside this, however, it must also be mentioned that in different experimental conditions, different stressors are in the foreground as well. Besides hypoxia, supplemental stressors in the field may include physical exhaustion from the climb, cold, sleep disturbance, and psychological factors, such as stress and anxiety, over the climb. Participants in passive ascents are exposed to hypoxic conditions more rapidly, which is why the problems of inadequate acclimatization are more likely to occur, as measured by the Lake Louise Scale, which is designed for the clinical diagnosis of AMS and assessment of its severity [85]. In laboratory studies, it is probably also the latter. Additionally, in chamber studies, difficulties were caused by unfamiliar situations, such as the confined space that allows only limited freedom of movement and isolation from the other group members, not to neglect psychological factors, such as claustrophobia. The extent to which these specific factors affect the study results is unclear at this time and needs to be considered.
4.2. Limitations
Throughout this review, an attempt has been made to give space to the complexity of the studies analyzed and to list the research modalities and results as completely as possible. On the other hand, the aim was to approach the object of investigation, the effects of hypoxia on cognitive abilities, as straightforwardly and comprehensibly as possible. These intentions are, in view of modern research with consideration of numerous cofactors in the statistical models, contrary to a simple approach. It is important to mention the risk of potential bias in this work. For one thing, this may be the case due to the so-called “publication bias”, i.e., the potentially selective reporting of complete studies and non-publication of study results without significant findings. However, “outcome reporting bias” within individual studies also has to be discussed as a reason for sources of error.
Despite the broad sample of studies, it must also be mentioned that a large number of studies, some of them highly qualitative, were excluded because they were conducted with military personnel or aircrew. The decision against including studies with professional pilots or military personnel is based on the fact that, on the one hand, highly specialized individuals, e.g., air combat pilots, seem difficult to compare with mountaineers. Second, the studies were often computer-based multi-tasking assessments (such as those used in the study of Kourdidou-Papadeli et al. [41]) that examined occupation-specific scenarios and made it difficult to draw direct conclusions about underlying cognitive functions due to the multifactorial and comprehensive nature of the assignments.
The bundling of the test procedures into cognitive domains was conducted by drawing artificial dividing lines that are not entirely objectively reproducible. As already noted in the methods section, this artificial simplification is a source of error. One possibility to at least contain it or to standardize it across the studies would also be the creation of a standardized framework of tests. One difficulty and possible bias in classifying the tests was that some of the same neuropsychological tests were used, but their names differed somewhat. In places where this was clearly evident, summaries were made under the same test name. However, this was probably not successful everywhere, which is one more reason to use standardized test batteries.
5. Conclusions
This review explicitly reports on applied neuropsychological tests, classifies them into cognitive domains, and correlates their results to the investigated altitudes and the intervention methods. Altitude and duration of altitude exposure seem to have the greatest impact on cognition, and sufficient acclimatization has beneficial effects on cognitive functions at HA.
Future studies should try to find a common consensus and complement each other. One possibility would be the creation of a standardized framework of tests, for instance an open access test battery. If used frequently, a standardized test battery could make the different experiments more comparable and help to identify fundamental influencing factors. To date, there have been studies with computerized test batteries; however, these were provided by commercial service companies and were therefore only used in occasional studies.
The “STAR” data reporting guidelines provide investigators with a suggested pathway of quality aspects to examine. Inter-study comparisons can be made more easily. The STAR guidelines for data reporting have proved useful in assessing study quality, and their utilization in future studies may contribute to a further standardization of methods.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/brainsci12121736/s1, Table S1. STAR data reporting guidelines [35] assessed in the studies included in the current analysis; Table S2. List of articles and their findings of altitude impact on cognitive performance.
Author Contributions
Conceptualization, K.H., B.S.-U. and H.B.; methodology, K.B., E.M.W. and K.H.; validation, K.H., H.B. and R.F.; formal analysis, K.B. and E.M.W.; investigation, K.B.; data curation, K.B. and E.M.W.; writing—original draft preparation, K.B.; writing—review and editing, K.H., H.B., B.S.-U., R.F. and E.M.W.; visualization, K.B.; supervision, K.H., B.S.-U., R.F. and H.B.; project administration, K.H. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
Appendix A
Table A1.
Excluded articles and their reasons for being ruled out.
| Article | Reasons | |
|---|---|---|
| 1. | Abeln V, MacDonald-Nethercott E, Piacentini MF, Meeusen R, Kleinert J, Strueder HK, et al. Exercise in isolation-A countermeasure for electrocortical, mental and cognitive impairments. PloS One. 2015; 10(5):e0126356 | Confounding variable: Physical exercise; +6-week interval between assessments |
| 2. | Algaze I, Phillips L, Inglis P, Lathrop G, Gadbois J, Rizzolo K, et al. Incidence of Mild Cognitive Impairment with Ascending Altitude. High Alt Med Biol. 2020 | No suitable control condition: First tests at 3500 m |
| 3. | Barkaszi I, Takacs E, Czigler I, Balazs L. Extreme Environment Effects on Cognitive Functions: A Longitudinal Study in High Altitude in Antarctica. Front Hum Neurosci. 2016; 10:331 | Without outcomes of interest: Delayed altitude testing |
| 4. | Bartholomew CJ, Jensen W, Petros TV, Ferraro FR, Fire KM, Biberdorf D, et al. The effect of moderate levels of simulated altitude on sustained cognitive performance. Int J Aviat Psychol. 1999; 9(4):351-9 | Without outcomes of interest: Only one administration of neuropsychological tests; + pilots |
| 5. | Baumgartner RW, Keller S, Regard M, Bartsch P. Flunarizine in prevention of headache, ataxia, and memory deficits during decompression to 4559 m. High Alt Med Biol. 2003; 4(3):333-9 | Drug-related confounding variable: Intake of Flunarizine vs. Placebo |
| 6. | Berry DT, McConnell JW, Phillips BA, Carswell CM, Lamb DG, Prine BC. Isocapnic hypoxemia and neuropsychological functioning. J Clin Exp Neuropsychol. 1989; 11(2):241-51 | Other reasons: No information on duration, exposure time, and corresponding altitude |
| 7. | Bhanushali D, Tyagi R, Limaye Rishi Nityapragya N, Anand A. Effect of mindfulness meditation protocol in subjects with various psychometric characteristics at high altitude. Brain Behav. 2020:e01604 | No control condition: Both assessments conducted at 3500 m; + Confounding variable mindfulness meditation |
| 8. | Blanchet A, Noel-Jorand MC, Bonaldi V. Discursive strategies of subjects with high altitude hypoxia: extreme environment. Stress medicine. 1997; 13(3):151-8 | Without outcomes of interest: no use of neuropsychological tests |
| 9. | Bolmont B, Bouquet C, Thullier F. Relationships of Personality Traits with Performance in Reaction Time, Psychomotor Ability, and Mental Efficiency during a 31-Day Simulated Climb of Mount Everest in a Hypobaric Chamber. Percept Mot Ski. 2001; 92(3_suppl):1022-30 | Not original research |
| 10. | Bolmont Bt, Thullier F, Abraini JH. Relationships between mood states and performances in reaction time, psychomotor ability, and mental efficiency during a 31-day gradual decompression in a hypobaric chamber from sea level to 8848 m equivalent altitude. Physiol Behav. 2000; 71(5):469-76 | Not original research |
| 11. | Bouquet CA, Gardette B, Gortan C, Abraini JH. Psychomotor skills learning under chronic hypoxia. NeuroReport. 1999; 10(14):3093-9 | Not original research |
| 12. | Bouzat P, Sechaud G, Banco P, Davranche K, Casini L, Baillieul S, et al. The effect of zolpidem on cognitive function and postural control at high altitude. Sleep. 2018; 41(10) | Drug-related confounding variable: Intake of Zolpidem and sleep |
| 13. | Cahoon RL. Simple Decision Making at High Altitude. Ergonomics. 1972; 15(2):157-63 | Other reasons: Professional military personnel |
| 14. | Carver RP, Winsmann FR. Effect of high elevation upon physical proficiency, cognitive functioning and subjective symptomatology. Percept Mot Skills. 1968; 26(1):223-30 | Drug-related confounding variable: intake of Acetazolamide vs. Placebo |
| 15. | Davis JE, Wagner DR, Garvin N, Moilanen D, Thorington J, Schall C. Cognitive and psychomotor responses to high-altitude exposure in sea level and high-altitude residents of Ecuador. J Physiol Anthropol. 2015; 34:2 | No control condition: Only one assessment of lowlanders at high altitude |
| 16. | Di Paola M, Bozzali M, Fadda L, Musicco M, Sabatini U, Caltagirone C. Reduced oxygen due to high-altitude exposure relates to atrophy in motor-function brain areas. Eur J Neurol. 2008; 15(10):1050-7 | Without outcomes of interest: No cognitive assessment under hypoxia, but 8 weeks before and 8 weeks after ascent |
| 17. | Dobashi S, Horiuchi M, Endo J, Kiuchi M, Koyama K. Cognitive Function and Cerebral Oxygenation During Prolonged Exercise Under Hypoxia in Healthy Young Males. High Alt Med Biol. 2016; 17(3):214-21 | Confounding variable: Physical exercise |
| 18. | Evans WO, Witt NF. The interaction of high altitude and psychotropic drug action. Psychopharmacologia. 1966; 10(2):184-8 | Drug-related confounding variable: Intake of psychotropic drugs |
| 19. | Feeback MR, Seo Y, Dancy M, Glickman EL. The Effect of Psychomotor Performance, Cerebral and Arterial Blood Saturation between African-American and Caucasian Males Before, During and After Normobaric Hypoxic Exercise. Int J Exerc Sci. 2017; 10(5):655-65 | Confounding variable: Physical exercise + no data of baseline assessments reported |
| 20. | Fowler B, Elcombe DD, Kelso B, Porlier G. The Threshold for Hypoxia Effects on Perceptual- Motor Performance. Hum Factors. 1987; 29(1):61-6 | No control condition |
| 21. | Gerard AB, McElroy MK, Taylor MJ, Grant I, Powell FL, Holverda S, et al. Six percent oxygen enrichment of room air at simulated 5000 m altitude improves neuropsychological function. High Alt Med Biol. 2000; 1(1):51-61 | No control condition |
| 22. | Guo W, Chen G, Qin J, Zhang J, Guo X, Yu J, et al. Short-term high-altitude pre-exposure improves neurobehavioral ability. Neuroreport. 2016; 27(6):367-73 | Confounding variable: High-altitude pre-exposure |
| 23. | Guo WY, Bian SZ, Zhang JH, Li QN, Yu J, Chen JF, et al. Physiological and psychological factors associated with onset of high-altitude headache in Chinese men upon acute high-altitude exposure at 3700 m. Cephalalgia. 2017; 37(4):336-47 | Confounding variable: High-altitude headache |
| 24. | Gustafsson C, Gennser M, Ornhagen H, Derefeldt G. Effects of normobaric hypoxic confinement on visual and motor performance. Aviat Space Environ Med. 1997; 68(11):985–92 | Confounding variable: Shift working |
| 25. | Hayashi R, Matsuzawa Y, Kubo K, Kobayashi T. Effects of simulated high altitude on event-related potential (P300) and auditory brain-stem responses. Clin Neurophysiol. 2005; 116(6):1471–6 | ERP measurement |
| 26. | Heinrich EC, Djokic MA, Gilbertson D, DeYoung PN, Bosompra NO, Wu L, et al. Cognitive function and mood at high altitude following acclimatization and use of supplemental oxygen and adaptive servoventilation sleep treatments. PloS One. 2019; 14(6):e0217089 | Confounding variable: Sleep treatments |
| 27. | Hoffman CE, Clark RT, Jr., Brown EB, Jr. Blood oxygen saturations and duration of consciousness in anoxia at high altitudes. Am J Physiol. 1946; 145:685-92 | No control condition |
| 28. | Hornbein TF, Townes BD, Schoene RB, Sutton JR, Houston CS. The cost to the central nervous system of climbing to extremely high altitude. New Engl J Med. 1989; 321(25):1714-9 | Not original research |
| 29. | Hu S, Shi J, Xiong W, Li W, Fang L, Feng H. Oxiracetam or fastigial nucleus stimulation reduces cognitive injury at high altitude. Brain Behav. 2017; 7(10):e00762 | Drug-related confounding variable: Intake of Oxiracetam or fastigial nucleus stimulation (FNS) |
| 30. | Jobe JB, Shukitt-Hale B, Banderet LE, Rock PB. Effects of dexamethasone and high terrestrial altitude on cognitive performance and affect. Aviat Space Environ Med. 1991; 62(8):727-32 | Drug-related confounding variable: Intake of Dexamethason vs. Placebo |
| 31. | Kammerer T, Faihs V, Hulde N, Bayer A, Hubner M, Brettner F, et al. Changes of hemodynamic and cerebral oxygenation after exercise in normobaric and hypobaric hypoxia: associations with acute mountain sickness. Ann Occup Environ Med. 2018; 30:66 | Confounding variable: Physical exercise |
| 32. | Kida M, Imai A. Cognitive performance and event-related brain potentials under simulated high altitudes. J Appl Physiol. 1993; 74(4):1735-41 | Confounding variable: Division of subjects into groups based on their reaction times |
| 33. | Kim C-H, Ryan EJ, Seo Y, Peacock C, Gunstad J, Muller MD, et al. Low intensity exercise does not impact cognitive function during exposure to normobaric hypoxia. Physiol Behav. 2015; 151:24-8 | Confounding variable: Physical exercise |
| 34. | Koller E, Bischoff M, Bührer A, Felder L, Schopen M. Respiratory, circulatory and neuropsychological responses to acute hypoxia in acclimatized and non-acclimatized subjects. Eur J Appl Physiol. 1991; 62(2):67-72 | Confounding variable: Preacclimatization |
| 35. | Lafleur J, Giron M, Demarco M, Kennedy R, BeLue R, Shields C. Cognitive effects of dexamethasone at high altitude. Wilderness Environ Med. 2003; 14(1):20-3 | Drug-related confounding variable: Intake of Dexamethasone |
| 36. | Leach J, Almond S. Ambient air, oxygen and nitrox effects on cognitive performance at altitude. Appl Human Sci. 1999; 18(5):175-9 | Drug-related confounding variable: Breathing of gas mixtures at surface ambient pressures |
| 37. | Lei OK, Kong Z, Loprinzi PD, Shi Q, Sun S, Zou L, et al. Severe Hypoxia Does Not Offset the Benefits of Exercise on Cognitive Function in Sedentary Young Women. Int J Environ Res Public Health. 2019; 16(6) | Confounding variable: Physical exercise |
| 38. | Li P, Zhang G, You HY, Zheng R, Gao YQ. Training-dependent cognitive advantage is suppressed at high altitude. Physiol Behav. 2012; 106(4):439-45 | Confounding variable: Physical training condition |
| 39. | Li Z, Xue X, Li X, Bao X, Yu S, Wang Z, et al. Neuropsychological effect of working memory capacity on mental rotation under hypoxia environment. Int J Psychophysiol. 2021; 165:18-28 | ERP measurement |
| 40. | Liao YH, Mundel T, Yang YT, Wei CC, Tsai SC. Effects of periodic carbohydrate ingestion on endurance and cognitive performances during a 40-km cycling time-trial under normobaric hypoxia in well-trained triathletes. J Sports Sci. 2019; 37(16):1805-15 | Confounding variable: Carbohydrate ingestion and physical exercise |
| 41. | Lieberman P, Protopapas A, Kanki BG. Speech production and cognitive deficits on Mt. Everest. Aviat Space Environ Med. 1995 | No suitable control condition |
| 42. | Luks AM, van Melick H, Batarse RR, Powell FL, Grant I, West JB. Room oxygen enrichment improves sleep and subsequent day-time perfor-mance at high altitude. Respir Physiol. 1998; 113(3):247-58 | Confounding variable: Room oxygen enrichment during sleep |
| 43. | Mairesse O, MacDonald-Nethercott E, Neu D, Tellez HF, Dessy E, Neyt X, et al. Preparing for Mars: human sleep and performance during a 13 month stay in Antarctica. Sleep. 2019; 42(1) | Without outcomes of interest: Delayed altitude testing |
| 44. | Malle C, Bourrilhon C, Quinette P, Laisney M, Eustache F, Pierard C. Physiological and Cognitive Effects of Acute Normobaric Hypoxia and Modulations from Oxygen Breathing. Aerosp Med Hum Perform. 2016; 87(1):3-12 | Confounding variable: Modification of oxygen breathing |
| 45. | Milne D, Gray D. Evidence bearing on the generalizability of laboratory findings relating to high-altitude mountaineering. Percept Mot Skills. 1983; 57(1):172-4 | Other reasons: Applied tests not further named |
| 46. | Morrison JD, Quinn K, MacDonald LA, Billaut F, Minahan C. Repeated Treadmill Sprints Impair Cognitive Performance in Amateur Team-Sport Athletes When Performed in Normobaric Hypoxia. J Sports Sci Med. 2019; 18(2):369-75 | Confounding variable: Physical exercise |
| 47. | Nakata H, Miyamoto T, Ogoh S, Kakigi R, Shibasaki M. Effects of acute hypoxia on human cognitive processing: a study using ERPs and SEPs. J Appl Physiol. 2017; 123(5):1246-55 | ERP measurement |
| 48. | Nickol AH, Leverment J, Richards P, Seal P, Harris GA, Cleland J, et al. Temazepam at high altitude reduces periodic breathing without impairing next-day performance: a randomized cross-over double-blind study. J Sleep Res. 2006; 15(4):445-54 | Drug-related confounding variable: Intake of Temazepam vs. Placebo |
| 49. | Nisha, S. N., Fathinul Fikri, A. S., Aida, A. R., Salasiah, M., Hamed, S., Rohit, T., Amei Farina, A. R., Loh, J. L., Mazlyfarina, M., & Subapriya, S. (2020). The objective assessment of the effects on cognition functioning among military personnel exposed to hypobaric-hypoxia: A pilot fMRI study. Med J Malaysia, 75(1), 62–67 | Confounding variable: Chronic intermittent exposure to high altitude |
| 50. | O’Keeffe K, Raccuglia G, Hodder S, Lloyd A. Mental fatigue independent of boredom and sleepiness does not impact self-paced physical or cognitive performance in normoxia or hypoxia. J Sports Sci. 2021; 39(15):1687-99 | Confounding variable: Physical exercise |
| 51. | Ochi G, Yamada Y, Hyodo K, Suwabe K, Fukuie T, Byun K, et al. Neural basis for reduced executive performance with hypoxic exercise. Neuroimage. 2018; 171:75-83 | Confounding variable: Physical exercise |
| 52. | Pagani M, Ravagnan G, Salmaso D. Effect of Acclimatisation to Altitude on Learning. Cortex. 1998; 34(2):243-51 | No control condition |
| 53. | Patrician A, Tymko MM, Caldwell HG, Howe CA, Coombs GB, Stone R, et al. The Effect of an Expiratory Resistance Mask with Dead Space on Sleep, Acute Mountain Sickness, Cognition, and Ventilatory Acclimatization in Normobaric Hypoxia. High Alt Med Biol. 2019; 20(1):61-70 | Confounding variable: Expiratory Resistance Masks during sleep |
| 54. | Phillips L, Basnyat B, Chang Y, Swenson ER, Harris NS. Findings of Cognitive Impairment at High Altitude: Relationships to Acetazolamide Use and Acute Mountain Sickness. High Alt Med Biol. 2017; 18(2):121-7 | No control condition |
| 55. | Remenyi A, Grosz A, Szabo SA, Totka Z, Molnar D, Helfferich F. Comparative study of the effect of bilastine and cetirizine on cognitive functions at ground level and at an altitude of 4000 m simulated in hypobaric chamber: a randomized, double-blind, placebo-controlled, cross-over study. Expert Opin Drug Saf. 2018; 17(9):859-68 | Drug-related confounding variable: Intake of Antihistamines vs. Placebo |
| 56. | Richalet JP. Operation Everest III: COMEX ‘97. High Alt Med Biol. 2010; 11(2):121-32 | Not original research |
| 57. | Schega L, Peter B, Brigadski T, Lessmann V, Isermann B, Hamacher D, et al. Effect of intermittent normobaric hypoxia on aerobic capacity and cognitive function in older people. J Sci Med Sport. 2016; 19(11):941-5 | Confounding variable: Intermittend normobaric hypoxia combined with subsequent aerobic training |
| 58. | Shannon OM, Duckworth L, Barlow MJ, Deighton K, Matu J, Williams EL, et al. Effects of Dietary Nitrate Supplementation on Physiological Responses, Cognitive Function, and Exercise Performance at Moderate and Very-High Simulated Altitude. Front Physiol. 2017; 8:401 | Drug-related confounding variable: Intake of beetroot juice |
| 59. | Shephard R. Physiological changes and psychomotor performance during acute hypoxia. J Appl Physiol. 1956; 9(3):343-51 | Without outcomes of interest: Baseline assessment under oxygen breathing |
| 60. | Shukitt-Hale B, Banderet LE, Lieberman HR. Elevation-dependent symptom, mood, and performance changes produced by exposure to hypobaric hypoxia. Int J Aviat Psychol. 1998; 8(4):319-34 | Drug-related confounding variable: Examination of group with placebo intake |
| 61. | Silva-Urra JA, Nunez-Espinosa CA, Nino-Mendez OA, Gaitan-Penas H, Altavilla C, Toro-Salinas A, et al. Circadian and Sex Differences After Acute High-Altitude Exposure: Are Early Acclimation Responses Improved by Blue Light? Wilderness Environ Med. 2015; 26(4):459-71 | Confounding variable: Circadian rhythm and lighting |
| 62. | Singh SB, Thakur L, Anand JP, Yadav D, Amitab, Banerjee PK. Effect of chronic hypobaric hypoxia on components of the human event related potential. Indian J Med Res. 2004; 120(2):94-9 | ERP measurement |
| 63. | Stamper DA, Kinsman RA, Evans WO. Subjective symptomatology and cognitive performance at high altitude. Percept Mot Skills. 1970; 31(1):247-61 | Drug-related confounding variable: Three drug groups (i.e., codeine, phenformin or placebo) |
| 64. | Stavres J, Gerhart HD, Kim JH, Glickman EL, Seo Y. Cerebral Hemodynamics and Executive Function During Exercise and Recovery in Normobaric Hypoxia. Aerosp Med Hum Perform. 2017; 88(10):911-7 | Confounding variable: Physical exercise |
| 65. | Stivalet P, Leifflen D, Poquin D, Savourey G, Launay JC, Barraud PA, et al. Positive expiratory pressure as a method for preventing the impairment of attentional processes by hypoxia. Ergonomics. 2000; 43(4):474-85 | Confounding variable: Positive expiratory pressure |
| 66. | Thakur L, Ray K, Anand JP, Panjwani U. Event related potential (ERP) P300 after 6 months residence at 4115 m. Indian J Med Res. 2011; 134:113-7 | ERP measurement |
| 67. | Tsarouchas N, Benedek K, Bezerianos A, Benedek G, Keri S. Effects of moderate hypobaric hypoxia on evoked categorical visuocognitive responses. Clin Neurophysiol. 2008; 119(7):1475-85 | ERP measurement |
| 68. | Van Dorp E, Los M, Dirven P, Sarton E, Valk P, Teppema L, et al. Inspired carbon dioxide during hypoxia: effects on task performance and cerebral oxygen saturation. Aviat Space Environ Med. 2007; 78(7):666-72 | Confounding variable: Change in inspired Carbon Dioxide |
| 69. | Walsh JJ, Drouin PJ, King TJ, D’Urzo KA, Tschakovsky ME, Cheung SS, et al. Acute aerobic exercise impairs aspects of cognitive function at high altitude. Physiol Behav. 2020; 223:112979 | Confounding variable: Physical exercise |
| 70. | Wang J, Ke T, Zhang X, Chen Y, Liu M, Chen J, et al. Effects of acetazolamide on cognitive performance during high-altitude exposure. Neurotoxicol Teratol. 2013; 35:28-33 | Drug-related confounding variable: Intake of Acetazolamide vs. Placebo |
| 71. | Zhang H, Lin J, Sun Y, Huang Y, Ye H, Wang X, et al. Compromised white matter microstructural integrity after mountain climbing: evidence from diffusion tensor imaging. High Alt Med Biol. 2012; 13(2):118-25 | Without outcomes of interest: No assessments at altitude, but prior and after climbing up to 6202 m |
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Figure 1.
Flow diagram of article selection (The color coding refers to the classification and is picked up again in Table A1).
Figure 1.
Flow diagram of article selection (The color coding refers to the classification and is picked up again in Table A1).
Figure 2.
(A) Test results in the field studies. (B) Test results in the laboratory studies.
Table 1.
Study classification according to type of operation.
| Field Studies (n = 29) | ||
|---|---|---|
| Passive ascent only (n = 8) | Davranche et al. (2016) [24] Frost et al. (2021) [43] Gibbons et al. (2020) [44] Latshang et al. (2013) [38] Pun, Guadagni et al. (2018) *1 [31] and Pun, Hartmann et al. (2018) *1 [32] Roach et al. (2014) *2 [33] and Subudhi et al. (2014) *2 [34] Schlaepfer, Bärtsch, and Fisch (1992) ** [37] Shi et al. (2016) [45] | |
| Passive and active ascent (n = 21) | Bjursten et al. (2010) [46] Bonnon, Noël-Jorand, and Therme (1999) [47] Dykiert et al. (2010) [48] Falla et al. (2021) [49] Griva et al. (2017) [50] Harris, Cleland, Collie, and McCrory (2009) [25] Issa et al. (2016) [23] Karinen and Tuomisto (2017) [40] Kramer, Coyne, and Strayer (1993) [28] Lefferts et al. (2019) [51] Lefferts et al. (2020) [52] Limmer and Platen (2018) ** [36] Malle, Ginon, and Bourrilhon (2016) [39] Merz et al. (2013) [53] Nelson et al. (1990) [54] Pelamatti, Pascotto, and Semenza (2003) [55] Petiet, Townes, Brooks, and Kramer (1988) [56] Phillips, Griswold, and Pace (1963) [57] Phillips and Pace (1966) [58] Weigle et al. (2007) [59] Zhang et al. (2013) [60] | |
| Laboratory studies (n = 23) | ||
| Breathing of hypoxic gas mixture (n = 7) | Altbäcker et al. (2019) [61] Chroboczek, Kostrzewa, Micielska, Grzywacz, and Laskowski (2021) [62] Kourtidou-Papadeli et al. (2008) [41] Loprinzi et al. (2019) [63] Ochi et al. (2018) [64] Schlaepfer, Bärtsch, and Fisch (1992) ** [37] Stepanek et al. (2013) [65] | |
| Chamber studies (n = 16) | ||
| Normobaric hypoxia (n = 11) | De Aquino Lemos et al. (2012) [66] Limmer and Platen (2018) ** [36] Niedermeier et al. (2017) [67] Parker, Manley, Shand, O’Hara, and Mellor (2017) [68] Pighin, Bonini, Hadjichristidis, Schena, and Savadori (2019) [69] Pighin et al. (2012) [70] Pramsohler et al. (2017) [71] Seo et al. (2015) [72] Seo et al. (2017) [73] Turner, Barker-Collo, Connell, and Gant (2015) [74] Williams et al. (2019) [75] | |
| Hypobaric hypoxia (n = 5) | Abraini, Bouquet, Joulia, Nicolas, and Kriem (1998) [42] Asmaro, Mayall, and Ferguson (2013) [27] De Bels et al. (2019) [76] Nakano et al. (2015) [77] Pavlicek et al. (2005) [78] | |
Legend. *n Same study with two articles. ** Investigation of both conditions.
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Bliemsrieder, K.; Weiss, E.M.; Fischer, R.; Brugger, H.; Sperner-Unterweger, B.; Hüfner, K. Cognition and Neuropsychological Changes at Altitude—A Systematic Review of Literature. Brain Sci. 2022, 12, 1736. https://doi.org/10.3390/brainsci12121736
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Bliemsrieder K, Weiss EM, Fischer R, Brugger H, Sperner-Unterweger B, Hüfner K. Cognition and Neuropsychological Changes at Altitude—A Systematic Review of Literature. Brain Sciences. 2022; 12(12):1736. https://doi.org/10.3390/brainsci12121736
Chicago/Turabian StyleBliemsrieder, Kathrin, Elisabeth Margarete Weiss, Rainald Fischer, Hermann Brugger, Barbara Sperner-Unterweger, and Katharina Hüfner. 2022. "Cognition and Neuropsychological Changes at Altitude—A Systematic Review of Literature" Brain Sciences 12, no. 12: 1736. https://doi.org/10.3390/brainsci12121736
APA StyleBliemsrieder, K., Weiss, E. M., Fischer, R., Brugger, H., Sperner-Unterweger, B., & Hüfner, K. (2022). Cognition and Neuropsychological Changes at Altitude—A Systematic Review of Literature. Brain Sciences, 12(12), 1736. https://doi.org/10.3390/brainsci12121736
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