Application of Brain Imaging in Mental Illness

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Neurotechnology and Neuroimaging".

Deadline for manuscript submissions: 25 October 2024 | Viewed by 2407

Special Issue Editor


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Guest Editor
Department of Psychiatry and Psychotherapy, University of Bielefeld, 33615 Bielefeld, Germany
Interests: neuroscience; biological psychology and psychiatry; stress-related disorders and resilience; mental illness; neuropsychology; psychotherapy; emotion and social regulation; memory and self; attachment

Special Issue Information

Dear Colleagues,

Mental illnesses as psychiatric and psychosomatic diagnoses are still mainly based on clinical syndromes rather than measurable biophysiological abnormalities.

Progress in neuroimaging technology and analytical methods has supported:

  • research into subtle but measurable radiological characteristics of mental diseases;
  • experimental classification of psychiatric disorders;
  • prediction of response to treatment;
  • development of innovative effective therapies.

Mental illnesses likely arise from disturbances of connectivity in neural networks, rather than anatomy, and can be understood as disorders of structural/functional disintegration.

This Special Issue highlights advances in neuroimaging modalities that are now allowing assessment of brain structures, connectivity, and neural network functions; describes technical aspects of the most promising methods; and report observations made in mental illnesses.

We welcome contributions relating to:

  • neuroimaging biomarkers;
  • structural and functional neural alterations;
  • the role of neuroimaging in predicting treatment responses;
  • novel neuroimaging techniques;
  • implications of using neuroimaging in the diagnosis and treatment of mental illnesses.

Dr. Kristina Hennig-Fast
Guest Editor

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Keywords

  • neuroimaging
  • brain imaging
  • mental illnesses
  • psychiatric disorders

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Published Papers (2 papers)

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16 pages, 1299 KiB  
Article
Two Sides of the Same Coin in Female Borderline Personality Disorder: Self-Reported Guilt and Shame and Their Neurofunctional Correlates
by Hella Parpart, Jakob Blass, Thomas Meindl, Janusch Blautzik, Petra Michl, Thomas Beblo, Rolf Engel, Maximilian Reiser, Peter Falkai, Hans-Juergen Moeller, Martin Driessen and Kristina Hennig-Fast
Brain Sci. 2024, 14(6), 549; https://doi.org/10.3390/brainsci14060549 - 27 May 2024
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Abstract
Objective: Patients with borderline personality disorder (BPD) report to be especially prone to social emotions like shame and guilt. At the same time, these emotions seem to play an important role in BPD pathology. The present study aimed to deepen the knowledge about [...] Read more.
Objective: Patients with borderline personality disorder (BPD) report to be especially prone to social emotions like shame and guilt. At the same time, these emotions seem to play an important role in BPD pathology. The present study aimed to deepen the knowledge about the processes behind shame and guilt in patients with BPD. Methods: Twenty patients with BPD and twenty healthy controls (HCs) took part in an experiment that induced shame and guilt by imagining scenarios during scanning using functional brain imaging. Participants also filled out self-report questionnaires and took part in diagnostic interviews. Results: BPD patients reported more proneness to guilt but not to shame than the HCs. There was no difference in the self-reported intensity rating of experimentally induced emotions between the groups. Between-group contrast of neural signals in the shame condition revealed a stronger activation of cingulate and fusiform gyrus for the BPD patients compared to the controls, and a more pronounced activation in the lingual gyrus and cuneus for the HCs. In the guilt condition, activation in the caudate nucleus, the fusiform gyrus, and the posterior cingulate cortex was stronger in BPD patients, while HC showed stronger activations in cuneus, lingual gyrus, and fronto-temporal regions. Conclusions: Differences in the neuro-functional processes between BPD patients and HC were found, even though the two groups did not differ in their self-report of subjective proneness to guilt and emotional intensity of shame and guilt during the experiment. While the HCs may be engaged more by the emotional scenarios themselves, the BPD patients may be more occupied with cognitive regulatory and self-referential processing. Full article
(This article belongs to the Special Issue Application of Brain Imaging in Mental Illness)
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28 pages, 1037 KiB  
Systematic Review
The Clinical Impact of Real-Time fMRI Neurofeedback on Emotion Regulation: A Systematic Review
by Nadja Tschentscher, Julia C. Tafelmaier, Christian F. J. Woll, Oliver Pogarell, Maximilian Maywald, Larissa Vierl, Katrin Breitenstein and Susanne Karch
Brain Sci. 2024, 14(7), 700; https://doi.org/10.3390/brainsci14070700 - 12 Jul 2024
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Abstract
Emotion dysregulation has long been considered a key symptom in multiple psychiatric disorders. Difficulties in emotion regulation have been associated with neural dysregulation in fronto-limbic circuits. Real-time fMRI-based neurofeedback (rt-fMRI-NFB) has become increasingly popular as a potential treatment for emotional dysregulation in psychiatric [...] Read more.
Emotion dysregulation has long been considered a key symptom in multiple psychiatric disorders. Difficulties in emotion regulation have been associated with neural dysregulation in fronto-limbic circuits. Real-time fMRI-based neurofeedback (rt-fMRI-NFB) has become increasingly popular as a potential treatment for emotional dysregulation in psychiatric disorders, as it is able to directly target the impaired neural circuits. However, the clinical impact of these rt-fMRI-NFB protocols in psychiatric populations is still largely unknown. Here we provide a comprehensive overview of primary studies from 2010 to 2023 that used rt-fMRI-NFB to target emotion regulation. We assessed 41 out of 4001 original studies for methodological quality and risk of bias and synthesised concerning the frequency of significant rt-fMRI-NFB-related effects on the neural and behaviour level. Successful modulation of brain activity was reported in between 25 and 50 percent of study samples, while neural effects in clinical samples were more diverse than in healthy samples. Interestingly, the frequency of rt-fMRI-NFB-related behavioural improvement was over 75 percent in clinical samples, while healthy samples showed behavioural improvements between 0 and 25 percent. Concerning clinical subsamples, rt-fMRI-NFB-related behavioural improvement was observed in up to 100 percent of major depressive disorder (MDD) and post-traumatic stress disorder (PTSD) samples. Substance use samples showed behavioural benefits ranging between 50 and 75 percent. Neural effects appeared to be less frequent than behavioural improvements: most neural outcomes ranged between 25 and 50 percent for MDD and substance use and between 0 and 25 percent for PTSD. Using multiple individualised regions of interest (ROIs) for rt-fMRI-NFB training resulted in more frequent behavioural benefits than rt-fMRI-NFB solely based on the amygdala or the prefrontal cortex. While a significant improvement in behavioural outcomes was reported in most clinical studies, the study protocols were heterogeneous, which limits the current evaluation of rt-fMRI-NFB as a putative treatment for emotional dysregulation. Full article
(This article belongs to the Special Issue Application of Brain Imaging in Mental Illness)
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