Large-Scale Neuroimaging of Mental Illness
Christopher R K Ching1, Melody J Y Kang1, Paul M Thompson1
1Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
Current Topics in Behavioral Neurosciences
|March 30, 2024
Summary
Large-scale international neuroimaging studies are creating reliable brain markers for mental illness. These efforts aim for precision psychiatry by improving prediction of illness severity and treatment outcomes.
Area of Science:
- Neuroscience
- Psychiatry
- Medical Imaging
Background:
- Neuroimaging reveals brain variations linked to mental illness, but prior studies lack consistency.
- Replicable and generalizable brain markers are needed for accurate prediction of illness severity, treatment, and prognosis.
- Precision psychiatry requires robust biomarkers for personalized mental healthcare.
Purpose of the Study:
- To discuss challenges and findings in developing neuroimaging-based tools for mental illness.
- To outline a roadmap for creating reliable brain markers for psychiatric disorders.
- To highlight the shift towards large-scale data sharing and collaborative research in psychiatry.
Main Methods:
- Pooling data from large-scale international research teams.
- Utilizing advanced neuroimaging techniques to map brain signatures.
- Testing emerging methods for enhanced replicability and generalizability.
Main Results:
- International consortia are mapping transdiagnostic brain signatures of mental illness.
- Emerging methods aim to achieve consensus findings in neuroimaging research.
- Progress is being made towards more reliable and generalizable brain markers.
Conclusions:
- Large-scale collaborative efforts are crucial for advancing neuroimaging in psychiatry.
- Developing robust neuroimaging markers is key to achieving precision psychiatry.
- A roadmap is proposed for future development of brain-based tools for mental illness.
