Functional Brain Imaging in the Big Data Era: towards Applications in Diagnosis and Treatment of Mental Disorders

Subjects: Psychology >> Medical Psychology submitted time 2018-03-31

严超赣

Abstract： Resting-state functional magnetic resonance imaging (fMRI) is a mainstream functional brain imaging modality with myriad applications in mental disorder studies, due to its non-invasiveness, high spatial–temporal resolution, ease of use, and amenability to aggregate big data across studies and sites. However, the small effect size and low reproducibility of resting-state fMRI restricted its clinical applications in diagnosis and treatment of mental disorders. In my opinion, there were several ways to advance resting-state fMRI towards aiding clinical practice: refining resting-state spontaneous thoughts and improving the paradigm of resting-state fMRI, clarifying the physiological mechanism of resting-state fMRI measures and developing new measures which reflect neuronal signals better, accumulating big imaging data and training deep learning classifiers for clinical diagnosis, as well as designing longitudinal studies to improve the treatment of mental disorders.

Peer Review Status:Awaiting Review

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