Identifying Biomarkers of Mental Health Vulnerability

A special issue of Healthcare (ISSN 2227-9032).

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 3634

Special Issue Editors


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Guest Editor
Neuropsychology and Functional Neuroimaging research group, Jaume I University, 12071 Castelló de la Plana, Spain
Interests: mental health; emotion regulation; fMRI; obsessive-compulsive disorder

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Guest Editor
Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057 Braga, Portugal
Interests: mental health; decision-making; neuroscience
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Special Issue Information

Dear Colleagues,

Despite major advances in the methods and findings of mental health research in recent years, there has been limited progress in the prevention and treatment of mental illness. Moreover, for most psychiatric disorders, a relatively high percentage of patients remain resistant to first-line treatments. Thus, identifying biomarkers of mental health vulnerability may help to guide early diagnosis as well as personalized treatment allocation.

This Special Issue aims to publish original studies and reviews, including both clinical trials and observational studies, that examine potential markers of psychiatric diagnosis and/or treatment resistance and response. The methodologies used may include (but are not limited to) neuroimaging techniques such as (functional) magnetic resonance imaging and electroencephalography. Regarding reviews, we will consider narrative, systematic, umbrella reviews, and meta-analysis that examine specific review questions. Studies including samples with specific psychiatric diagnosis are welcome, as well as studies that more broadly explore mental health symptomatology from a dimensional perspective.

We look forward to receiving your contributions.

Dr. Maria Picó-Pérez
Dr. Pedro Morgado
Guest Editors

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Keywords

  • mental health
  • stress
  • depression
  • anxiety
  • neuroimaging
  • biomarkers

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Published Papers (1 paper)

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Review

11 pages, 304 KiB  
Review
A Semantic Cognition Contribution to Mood and Anxiety Disorder Pathophysiology
by Iván González-García and Maya Visser
Healthcare 2023, 11(6), 821; https://doi.org/10.3390/healthcare11060821 - 10 Mar 2023
Cited by 1 | Viewed by 1983
Abstract
Over the last two decades, the functional role of the bilateral anterior temporal lobes (bATLs) has been receiving more attention. They have been associated with semantics and social concept processing, and are regarded as a core region for depression. In the past, the [...] Read more.
Over the last two decades, the functional role of the bilateral anterior temporal lobes (bATLs) has been receiving more attention. They have been associated with semantics and social concept processing, and are regarded as a core region for depression. In the past, the role of the ATL has often been overlooked in semantic models based on functional magnetic resonance imaging (fMRI) due to geometric distortions in the BOLD signal. However, previous work has unequivocally associated the bATLs with these higher-order cognitive functions following advances in neuroimaging techniques to overcome the geometric distortions. At the same time, the importance of the neural basis of conceptual knowledge in understanding mood disorders became apparent. Theoretical models of the neural basis of mood and anxiety disorders have been classically studied from the emotion perspective, without concentrating on conceptual processing. However, recent work suggests that the ATL, a brain region underlying conceptual knowledge, plays an essential role in mood and anxiety disorders. Patients with anxiety and depression often cope with self-blaming biases and guilt. The theory is that in order to experience guilt, the brain needs to access the related conceptual information via the ATL. This narrative review describes how aberrant interactions of the ATL with the fronto–limbic emotional system could underlie mood and anxiety disorders. Full article
(This article belongs to the Special Issue Identifying Biomarkers of Mental Health Vulnerability)
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