Imaging of Mental Disorders
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Mental Health".
Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 3024
Special Issue Editor
2. Early Psychosis: Interventions and Clinical-detection Lab (EPIC), Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
3. Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
Interests: neuroimaging; statistics; magnetic resonance; neuroscience; mental disorders; meta-analysis
Special Issue Information
Nearly fifty years after Eve Johnstone and colleagues reported ventricular enlargement in schizophrenia and its relation to cognitive impairment, the traditional unimodal comparisons of gray matter volume or BOLD response between patients and healthy controls have progressively given way to a new generation of more sophisticated studies. For example, some studies explore the relations between imaging and genetics, others employ multimodal approaches, others use MRI to conduct neurofeedback therapies, and yet again others use machine learning algorithms to bring research and clinical practice closer. The aim of this Special Issue is this new generation of imaging research in mental disorders. Thus, the main scope of the studies included in this issue will encompass imaging genetics, multimodal neuroimaging, neurofeedback, image-based machine learning, and any other novel imaging approach, as long as they are applied to the investigation of mental disorders. We will also welcome traditional unimodal comparisons if they are focused on psychiatric conditions that have seldom been investigated by previous studies.
Dr. Joaquim RaduàGuest Editor
Manuscript Submission Information
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Keywords
- Imaging
- Neuroimaging
- Mental disorders
- Multimodal
- Machine learning
- Magnetic resonance
- Neurofeedback
- Genetics
