Application of Neuroimaging Biomarkers in the Diagnosis and Treatment of Mental Diseases, 2nd Edition

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 25 August 2025 | Viewed by 3421

Special Issue Editors


E-Mail Website
Guest Editor
1. Diagnostic Neuroimaging, Department of Psychiatry, University of Utah, 383 Colorow Drive, Salt Lake City, UT 84108, USA
2. Rocky Mountain MIRECC (Mental Illness Research and Clinical Center), VISN 19 VA Health Care System, Salt Lake City, VA, USA
Interests: bipolar disorder; suicide; MR imaging; neurocircuitry; traumatic brain injury; neurocognition
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
1. Diagnostic Neuroimaging, Department of Psychiatry, University of Utah, 383 Colorow Drive, Salt Lake City, UT 84108, USA
2. Rocky Mountain MIRECC (Mental Illness Research and Clinical Center), VISN 19 VA Health Care System, Salt Lake City, VA, USA
Interests: translational neuroimaging; mechanistic; clinical trials; mood disorders; brain bioenergetics; veterans; children; suicide
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
1. Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
2. Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905, USA
Interests: biomarkers; bipolar depression; augmentation treatments; clinical trials; pharmacogenomics
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
1. Diagnostic Neuroimaging, Department of Psychiatry, University of Utah, 383 Colorow Drive, Salt Lake City, UT 84108, USA
2. Rocky Mountain MIRECC (Mental Illness Research and Clinical Center), VISN 19 VA Health Care System, Salt Lake City, VA, USA
Interests: magnetic resonance spectroscopy; brain bioenergetics; mood disorders; drug abuse disorders; natural products; novel treatment interventions
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Division of Psychotic Disorders, McLean Hospital, Belmont, MA, USA
Interests: neuroscience; clinical psychiatry; neuroimaging; psychotic disorders
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue will focus on recent advances in the use of magnetic resonance imaging (MRI) for the diagnosis and pharmacological treatment of mental diseases. In recent years, the field has made extraordinary efforts to identify imaging biomarkers as potential tools to improve the prevention, diagnosis and treatment of mental diseases. For example, different studies have attempted to use neuroimaging biomarkers for treatment responses in psychiatric disorders, such as major depressive disorders, using brain volumetric magnetic resonance imaging (MRI), functional MRI (resting-state and affective tasks), diffusion tensor imaging, magnetic resonance spectroscopy, near-infrared spectroscopy and molecular imaging (i.e., positron emission tomography and single-photon emission computed tomography). Some plausible regions for therapeutic responses in major depressive disorders with their subsequent activation or structural normalization effects after treatment have emerged, namely the prefrontal cortex, the anterior cingulate cortex, hippocampus, amygdala and insula. However, issues related to sample size and differences in imagining techniques have had inconclusive findings.

Potentially, the use of neuroimaging biomarkers can be clinically useful in also being applied to new biostatistical methods, including machine learning. This integration of artificial intelligence into 1H-MRS and 31P-MRS Brain Spectroscopy data could be pivotal concerning personalized medicine. Consequently, this would allow us not only to evaluate treatment outcomes and to develop new treatment strategies enable us to tailor impactful treatment strategies to improve patients’ overall wellbeing.

In this Special Issue, we welcome preclinical and clinical studies that underscore the application of neuroimaging biomarkers in the diagnosis and treatment of mental diseases as potential biomarkers. Our aim is to provide a better understanding of the pathophysiology and effective ways to personalize treatment in mental diseases.

You may choose our Joint Special Issue in Pharmaceuticals.

Prof. Dr. Deborah A. Yurgelun-Todd
Dr. Douglas Kondo
Dr. Nicolas A Nunez
Dr. Perry Franklin Renshaw
Prof. Dr. Dost Öngür
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • neuroimaging
  • biomarkers
  • 1H-MRS
  • 31P-MRS
  • brain spectroscopy
  • mood disorders

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Review

34 pages, 1734 KiB  
Review
Artificial Intelligence in Psychiatry: A Review of Biological and Behavioral Data Analyses
by İsmail Baydili, Burak Tasci and Gülay Tasci
Diagnostics 2025, 15(4), 434; https://doi.org/10.3390/diagnostics15040434 - 11 Feb 2025
Cited by 1 | Viewed by 3229
Abstract
Artificial intelligence (AI) has emerged as a transformative force in psychiatry, improving diagnostic precision, treatment personalization, and early intervention through advanced data analysis techniques. This review explores recent advancements in AI applications within psychiatry, focusing on EEG and ECG data analysis, speech analysis, [...] Read more.
Artificial intelligence (AI) has emerged as a transformative force in psychiatry, improving diagnostic precision, treatment personalization, and early intervention through advanced data analysis techniques. This review explores recent advancements in AI applications within psychiatry, focusing on EEG and ECG data analysis, speech analysis, natural language processing (NLP), blood biomarker integration, and social media data utilization. EEG-based models have significantly enhanced the detection of disorders such as depression and schizophrenia through spectral and connectivity analyses. ECG-based approaches have provided insights into emotional regulation and stress-related conditions using heart rate variability. Speech analysis frameworks, leveraging large language models (LLMs), have improved the detection of cognitive impairments and psychiatric symptoms through nuanced linguistic feature extraction. Meanwhile, blood biomarker analyses have deepened our understanding of the molecular underpinnings of mental health disorders, and social media analytics have demonstrated the potential for real-time mental health surveillance. Despite these advancements, challenges such as data heterogeneity, interpretability, and ethical considerations remain barriers to widespread clinical adoption. Future research must prioritize the development of explainable AI models, regulatory compliance, and the integration of diverse datasets to maximize the impact of AI in psychiatric care. Full article
Show Figures

Figure 1

Back to TopTop