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Editorial

The Contribution of Internal and External Factors to Human Spatial Navigation

by
Laura Piccardi
1,2,*,
Raffaella Nori
3,
Jose Manuel Cimadevilla
4 and
María Kozhevnikov
5,6
1
Department of Psychology, Sapienza University of Rome, 00185 Rome, Italy
2
San Raffaele Cassino Hospital, 03043 Cassino, Italy
3
Department of Psychology, University of Bologna, 40127 Bologna, Italy
4
Faculty of Psychology and Health Research Center, University of Almeria, 04120 Almería, Spain
5
Department of Psychology, National University of Singapore, Singapore 17570, Singapore
6
Martinos Canter for Biomedical Imaging, Harvard Medical School and Massachusetts General Hospital, Boston, MA 02129, USA
*
Author to whom correspondence should be addressed.
Brain Sci. 2024, 14(6), 585; https://doi.org/10.3390/brainsci14060585
Submission received: 27 May 2024 / Accepted: 3 June 2024 / Published: 7 June 2024
Spatial navigation is a multifaceted cognitive function essential for planning and finding routes in one’s environment [1]. It encompasses the awareness of one’s current position, orienting oneself in space, the identification of the goal location, and the formulation of a navigational path linking these points.
Various cognitive processes, including memory, attention, spatial updating, mental planning, and problem-solving skills, are intricately involved in navigation [2,3,4]. Additionally, numerous internal and external factors such as age, gender, familiarity with the environment, landmark attributes, and surrounding complexity can influence spatial navigation [5]. With the growing utilization of spatial orientation and navigation assessments in neuropsychological evaluations, neuroscientists are increasingly committed to elucidating the factors that underlie performance in large-scale real spaces.
The primary objective of this Special Issue, titled “The Contribution of Internal and External Factors to Human Spatial Navigation”, was to investigate the roles of various internal and external variables in navigation. Consequently, seven papers authored by distinguished scientists in the field were compiled to address this issue from diverse perspectives.
Markostamou, Morrissey, and Hornberger [6] proposed the significance of internal verbal and imagery-based strategies in spatial memory tasks. The authors demonstrated the synergistic operation of verbal and imagery strategies, which collectively support efficient memory performance. Consequently, a higher utilization of verbal and imagery-based strategies correlated with enhanced retrieval.
Furthermore, bilingualism has emerged as a compelling research subject due to its growing prevalence. Bilinguals and monolinguals exhibit discernible functional and structural brain disparities [7,8,9,10]. Gender dimorphism in spatial learning has been documented in various studies [11,12,13,14,15]; this gender-related performance discrepancy is reversed among bilinguals, with bilingual women outperforming their male counterparts [16]. In this Special Issue, Tyborowska, Wegman, and Janzen [17] addressed the executive control advantages observed in bilinguals and the brain activity associated with spatial navigation [17]. The authors elucidated the differential recruitment of brain networks in bilinguals compared to monolinguals. Bilingual individuals demonstrate increased engagement of executive control and spatial regions, which correlates with superior spatial navigation skills.
The hippocampal system supports spatial memory processes and is subject to modulation by mood disorders such as anxiety and depression. Specific hippocampal regions have been implicated in anxiety-related responses [18,19,20]. Zafar et al. [21] investigated the impact of anxiety and depression traits on spatial navigation. Healthy participants with elevated, though non-clinical, levels of anxiety and depression traits undertook a virtual navigation task. Their performance did not exhibit a positive correlation with mood traits, highlighting the crucial distinction between clinical and non-clinical manifestations of mood disorders.
While previous research suggested that cognitive maps are allocentric and encode visual information about local locations and environmental boundaries in a global coordinate system [22,23], there is evidence for another type of cognitive map, which is egocentric [24,25,26]. These egocentric maps represent spatial information relative to the navigator’s position and orientation, encoding orientation-specific views of landmarks from multiple frames of reference. Kozhevnikov and Puri [27] provided experimental evidence for the existence of these two types of cognitive maps (egocentric and allocentric). They showed that they result from different navigational strategies, namely path integration and allocentric (memory-based)navigation, respectively. Their study is the first to demonstrate that path integration is not just a supplementary process to allocentric navigation but a standalone strategy that, in conjunction with egocentric landmark processing, generates a unique type of egocentric cognitive map.
Moreover, gravity provides essential cues for spatial orientation and the construction of spatial cognitive maps. Vestibular information traverses various nuclei before reaching the retrosplenial and entorhinal cortex, contributing significantly to the formation of intricate spatial representations [28]. Consequently, astronauts have reported difficulties in spatial orientation when subjected to microgravity conditions [29,30,31,32]. To investigate the effects of spaceflight on brain activity, a cohort of astronauts was assessed before and after their missions. Burles and Iaria [33] observed a reduction in neural activity within specific brain regions associated with spatial orientation post-flight. However, no behavioral changes were noted, indicating that participants likely employed complementary cognitive strategies to address spatial challenges under altered gravitational conditions.
Another important external factor contributing to spatial navigation is the salience of a cue [34]. Features like shape, size, proximity to the goal, or luminescence are important factors contributing to salience. In addition, the phenomenon of overshadowing refers to the reduced weight of an individual cue when initially presented in a compound [35,36,37,38]. In the spatial domain, it remains unclear whether overshadowing affects proximal and distal cues similarly, as findings have been inconsistent [39,40]. Deery and Commings [41] employed the virtual Morris water maze paradigm to investigate this issue, revealing that proximal cues exerted greater control over navigation than distal cues, which could be disregarded entirely. Consequently, navigation demands cognitive effort, prompting individuals to streamline their search processes by prioritizing proximal cues.
Finally, gender-based dimorphism has been frequently observed in spatial navigation tasks [11,12,42,43,44,45,46], suggesting that participant gender is another significant factor influencing spatial navigation. In this Special Issue, Tascón et al. [47] elucidated how males and females exhibited divergent spatial orientation performance in a virtual task when the goal location was moved to a new place. Their findings demonstrated the feasibility of challenging spatial abilities through a reversal protocol, even after the task had been accurately acquired.
Collectively, these studies underscore the necessity of considering multiple variables that may contribute to the final outcome when investigating spatial memory. This Special Issue highlights the complex interplay between cognitive processes such as verbal and imagery-based strategies, bilingualism, mood disorders, path integration, and egocentric and allocentric navigation strategies along with internal and external factors like age, gender, familiarity with the environment, attributes of landmarks, and environmental complexity. Continuous research in this field is imperative to comprehensively understand the myriad factors influencing navigation, thereby facilitating the development of novel protocols and approaches.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Ekstrom, A.D.; Spiers, H.J.; Bohbot, V.D.; Rosenbaum, R.S. Human Spatial Navigation; Princeton University Press: Princeton, NJ, USA, 2018. [Google Scholar]
  2. Bird, C.M.; Bisby, J.A.; Burgess, N. The hippocampus and spatial constraints on mental imagery. Front. Hum. Neurosci. 2012, 6, 142. [Google Scholar] [CrossRef]
  3. Soyer, C. A proposed attention-based model for spatial memory formation and retrieval. Cogn. Process. 2023, 24, 199–212. [Google Scholar] [CrossRef] [PubMed]
  4. Schutte, A.R.; Jacoby, M.N. Individual differences in executive attention and inhibition control are related to spatial memory biases in adults. Q. J. Exp. Psychol. 2023, 76, 391–403. [Google Scholar] [CrossRef] [PubMed]
  5. Reinoso-Medina, L.; Thrasher, C.A.; Harburger, L.L. Evidence for age-related decline in spatial memory in a novel allocentric memory task. Neuropsychol. Dev. Cogn. B Aging Neurospychol. Cogn. 2024, 21, 1–10. [Google Scholar] [CrossRef] [PubMed]
  6. Markostamou, I.; Morrissey, S.; Hornberger, M. Imagery and verbal strategies in spatial memory for route and survey descrptions. Brain Sci. 2024, 14, 403. [Google Scholar] [CrossRef] [PubMed]
  7. Bakker-Marshall, I.; Takashima, A.; Fernandez, C.B.; Janzen, G.; McQueen, J.M.; Van Hell, J.G. Overlapping and distinct neural networks supporting novel word learning in bilinguals and monolinguals. Biling. Lang. Cogn. 2021, 24, 524–536. [Google Scholar] [CrossRef]
  8. Buchweitz, A.; Prat, C. The bilingual brain: Flexibility and control in the human cortex. Phys. Life Rev. 2013, 10, 428–443. [Google Scholar] [CrossRef] [PubMed]
  9. Gokson, S.; Angyri, F.; Clayden, J.D.; Liegeois, F.; Wei, L. Early childhood bilingualism: Effects on brain structure and function. F1000Research 2020, 9, 370. [Google Scholar] [CrossRef]
  10. Mechelli, A.; Crinion, J.T.; Noppeney, U.; O’Doherty, J.; Ashburner, J.; Franckowiak, R.S.; Price, C.J. Structural plasticity in the bilingual brain. Nature 2004, 431, 757. [Google Scholar] [CrossRef]
  11. Piccardi, L.; Risetti, M.; Nori, R.; Tanzilli, A.; Bernardi, L.; Guariglia, C. Perspective changing in primary and secondary learning: A gender difference study. Learn. Individ. Differ. 2011, 21, 114–118. [Google Scholar] [CrossRef]
  12. León, I.; Tascón, L.; Cimadevilla, J.M. Age and gender-related differences in a spatial memory task in humans. Behav. Brain Res. 2016, 306, 8–12. [Google Scholar] [CrossRef] [PubMed]
  13. Astur, R.S.; Purton, A.J.; Zaniewski, M.J.; Cimadevilla, J.; Markus, E.J. Human sex differences in solving a virtual navigation problem. Behav. Brain Res. 2016, 308, 236–243. [Google Scholar] [CrossRef] [PubMed]
  14. Chen, W.; Liu, B.; Li, X.; Wang, P.; Wang, B. Sex differences in spatial memory. Neuroscience 2020, 443, 140–147. [Google Scholar] [CrossRef] [PubMed]
  15. Cimadevilla, J.M.; Piccardi, L. Spatial skills. Handb. Clin. Neurol. 2020, 175, 65–79. [Google Scholar] [CrossRef] [PubMed]
  16. Gonzalez-Marquez, M. Language, thought, and … brain? In Cambridge Handbook of Psycholinguistics; Cambridge University: Cambridge, UK, 2012; pp. 674–692. [Google Scholar]
  17. Tyborowska, A.; Wegman, J.; Janzen, G. Bilingual Spatial Cognition: Spatial Cue Use in Bilinguals and Monolinguals. Brain Sci. 2024, 14, 134. [Google Scholar] [CrossRef] [PubMed]
  18. Bannerman, D.M.; Rawlins, J.N.P.; McHugh, S.B.; Deacon, R.M.J.; Yee, B.K.; Bast, T.; Zhang, W.-N.; Pothuizen, H.H.J.; Feldon, J. Regional dissociations within the hippocampus—Memory and anxiety. Neurosci. Biobehav. Rev. 2004, 28, 273–283. [Google Scholar] [CrossRef] [PubMed]
  19. De Geus, E.J.C.; van’t Ent, D.; Wolfensberger, S.P.A.; Heutink, P.; Hoogendijk, W.J.G.; Boomsma, D.I.; Veltman, D.J. Intrapair differences in hippocampal volume in monozygotic twins discordant for the risk for anxiety and depression. Biol. Psychiatry 2007, 61, 1062–1071. [Google Scholar] [CrossRef] [PubMed]
  20. Campbell, S.; Marriott, M.; Nahmias, C.; MacQueen, G.M. Lower hippocampal volume in patients suffering from depression: A meta-analysis. Am. J. Psychiatry 2004, 161, 598–607. [Google Scholar] [CrossRef] [PubMed]
  21. Zafar, I.; Burles, F.; Berger, L.; McLaren-Gradinaru, M.; David, A.L.; Dhillon, I.; Iaria, G. Anxiety and Depressive Traits in the Healthy Population Does Not Affect Spatial Orientation and Navigation. Brain Sci. 2023, 13, 1638. [Google Scholar] [CrossRef]
  22. Burgess, N.; Becker, S.; King, J.A.; O’Keefe, J. Memory for events and their spatial context: Models and experiments. Philos. Trans. R. Soc. Lond. Ser. B Biol. Sci. 2001, 356, 1493–1503. [Google Scholar] [CrossRef]
  23. Siegel, A.W.; White, S.H. The development of spatial representations of large-scale environments. Adv. Child Dev. Behav. 1975, 10, 9–55. [Google Scholar] [CrossRef] [PubMed]
  24. Warren, W.H. Non-euclidean navigation. J. Exp. Biol. 2019, 222, jeb187971. [Google Scholar] [CrossRef] [PubMed]
  25. Wang, R.F.; Spelke, E.S. Updating egocentric representations in human navigation. Cognition 2000, 77, 215–250. [Google Scholar] [CrossRef] [PubMed]
  26. Burgess, N. Spatial memory: How egocentric and allocentric combine. Trends Cogn. Sci. 2006, 10, 551–557. [Google Scholar] [CrossRef] [PubMed]
  27. Kozhevnikov, M.; Puri, J. Different Types of Survey-Based Environmental Representations: Egocentric vs. Allocentric Cognitive Maps. Brain Sci. 2023, 13, 834. [Google Scholar] [CrossRef]
  28. Yoder, R.M.; Taube, J.S. The Vestibular Contribution to the Head Direction Signal and Navigation. Front. Integr. Neurosci. 2014, 8, 32. [Google Scholar] [CrossRef] [PubMed]
  29. Oman, C.M. Spatial Orientation and Navigation in Microgravity. In Spatial Processing in Navigation, Imagery and Perception; Mast, F., Jäncke, L., Eds.; Springer: Boston, MA, USA, 2007; pp. 209–247. ISBN 978-0-387-71977-1. [Google Scholar]
  30. Oman, C.M.; Lichtenberg, B.K.; Money, K.E.; McCoy, R.K. MIT/Canadian Vestibular Experiments on the Spacelab-1 Mission: Space Motion Sickness: Symptoms, Stimuli, and Predictability. Exp. Brain Res. 1986, 64, 316–334. [Google Scholar] [CrossRef] [PubMed]
  31. Lackner, J.R.; DiZio, P. Space Motion Sickness. Exp. Brain Res. 2006, 175, 377–399. [Google Scholar] [CrossRef] [PubMed]
  32. Blaber, E.; Marcal, H.; Burns, B.P. Bioastronautics: The influence of microgrativy on astronaut health. Astrobiology 2010, 10, 463–473. [Google Scholar] [CrossRef]
  33. Burles, F.; Iaria, G. Neurocognitive Adaptations for Spatial Orientation and Navigation in Astronauts. Brain Sci. 2023, 13, 1592. [Google Scholar] [CrossRef]
  34. Chamizo, V.D.; Rodrigo, T.; Peris, J.M.; Grau, M. The influence of landmark salience in a navigation task: An additive effect between its components. J. Exp. Psychol. Anim. Behav. Process. 2006, 32, 339–344. [Google Scholar] [CrossRef]
  35. Spetch, M.L. Overshadowing in landmark learning: Touch-screen studies with pigeons and humans. J. Exp. Psychol. Anim. Behav. 1995, 21, 166–181. [Google Scholar] [CrossRef] [PubMed]
  36. Sánchez-Moreno, J.; Rodrigo, T.; Chamizo, V.D.; Mackintosh, N.J. Overshadowing in the spatial domain. Anim. Learn. Behav. 1999, 27, 391–398. [Google Scholar] [CrossRef]
  37. Horne, M.R.; Iordanova, M.D.; Pearce, J.M. Spatial learning based on boundaries in rats is hippocampus-dependent and prone to overshadowing. Behav. Neurosci. 2010, 124, 623–632. [Google Scholar] [CrossRef]
  38. Rodríguez, C.A.; Chamizo, V.D.; Mackintosh, N.J. Overshadowing and blocking between landmark learning and shape learning: The importance of sex differences. Learn. Behav. 2011, 39, 324–335. [Google Scholar] [CrossRef]
  39. Sansa, J.; Aznar-Casanova, J.A.; Rodríguez, C.A.; Chamizo, V.D. Generalisation decrement and not overshadowing by associative competition among pairs of landmarks in a navigation task with humans. Q. J. Exp. Psychol. 2019, 72, 251–262. [Google Scholar] [CrossRef]
  40. Herrera, E.; Alcalá, J.A.; Tazumi, T.; Buckley, M.G.; Prados, J.; Urcelay, G.P. Temporal and spatial contiguity are necessary for competition between events. J. Exp. Psychol. Learn. Mem. Cogn. 2022, 48, 321–347. [Google Scholar] [CrossRef]
  41. Deery, R.; Commins, S. Landmark Distance Impacts the Overshadowing Effect in Spatial Learning Using a Virtual Water Maze Task with Healthy Adults. Brain Sci. 2023, 13, 1287. [Google Scholar] [CrossRef]
  42. Castillo, J.; Carmona, I.; Commins, S.; Fernández, S.; Ortells, J.J.; Cimadevilla, J.M. Spatial recognition memory: Differential brain strategic activation according to sex. Front. Behav. Neurosci. 2021, 15, 736778. [Google Scholar] [CrossRef]
  43. Tascon, L.; Castillo, J.; León, I.; Cimadevilla, J.M. Walking an non-walking space in an equivalent virtual reality task: Sexual dimorphism and aging decline of spatial abilities. Behav. Brain Res. 2018, 347, 201–208. [Google Scholar] [CrossRef]
  44. Piccardi, L.; Bianchini, F.; Iasevoli, L.; Giannone, G.; Guariglia, C. Sex differences in a landmark environmental reorientation task only during the learning phase. Neurosci. Lett. 2011, 503, 181–185. [Google Scholar] [CrossRef] [PubMed]
  45. Spets, D.S.; Slotnick, S.D. Sex is predicted by spatial memory multivariate activation patterns. Learn. Mem. 2022, 29, 297–301. [Google Scholar] [CrossRef] [PubMed]
  46. Palmiero, M.; Nori, R.; Rogolino, C.; D’Amico, S.; Piccardi, L. Sex differences in visuospatial and navigational working memory: The role of mood induced by background music. Exp. Brain Res. 2016, 234, 2381–2389. [Google Scholar] [CrossRef] [PubMed]
  47. Tascón, L.; León, I.; Fernández, R.; Cimadevilla, J.M. Reversal Training Discloses Gender Differences in a Spatial Memory Task in Humans. Brain Sci. 2023, 13, 740. [Google Scholar] [CrossRef] [PubMed]
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MDPI and ACS Style

Piccardi, L.; Nori, R.; Cimadevilla, J.M.; Kozhevnikov, M. The Contribution of Internal and External Factors to Human Spatial Navigation. Brain Sci. 2024, 14, 585. https://doi.org/10.3390/brainsci14060585

AMA Style

Piccardi L, Nori R, Cimadevilla JM, Kozhevnikov M. The Contribution of Internal and External Factors to Human Spatial Navigation. Brain Sciences. 2024; 14(6):585. https://doi.org/10.3390/brainsci14060585

Chicago/Turabian Style

Piccardi, Laura, Raffaella Nori, Jose Manuel Cimadevilla, and María Kozhevnikov. 2024. "The Contribution of Internal and External Factors to Human Spatial Navigation" Brain Sciences 14, no. 6: 585. https://doi.org/10.3390/brainsci14060585

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