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Psychiatry and Neurosciences

Prof. OKADA Go

¡¾Research Keyword¡¿
depression, bipolar disorder, neuroimaging, biomarker, machine learning, neurofeedback

¡¾Recent highlights¡¿
Reliability and generalizability of the depression brain circuit marker were verified by using newly acquired data. The fact that we were able to verify the reliability and generalizability of the brain circuit marker with the newly acquired data is a major step forward toward its clinical application. We are currently conducting a clinical study in order to put this brain circuit marker to practical use in clinical settings. As the research progresses, it is expected that 10 minutes of fMRI imaging in a resting state will provide useful information for diagnosis and treatment selection of depression.

¡¾Major Papers of the Laboratory¡¿
?Resting-state functional connectivity disruption between the left and right pallidum as a biomarker for subthreshold depression, SCIENTIFIC REPORTS, 13(1), 20230418
?Examining the usefulness of the brain network marker program using fMRI for the diagnosis and stratification of major depressive disorder: a non-randomized study protocol, BMC PSYCHIATRY, 23(1), 20230124
?Verification of the brain network marker of major depressive disorder: Test-retest reliability and anterograde generalization performance for newly acquired data, JOURNAL OF AFFECTIVE DISORDERS, 326, 262-266, 20230401

¡¾·¡»å³Ü³¦²¹³Ù¾±´Ç²Ô¡¿
We deliver lectures and clinical practice to introduce knowledge about psychiatry including basic interview methods, classification of mental disorders, consultation-liaison psychiatry or mental disorders including affective disorder, schizophrenia, anxiety disorder, stress-related disorder, organic mental disorder or dementia.

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We are acquiring MRI and associated clinical data for mood disorders (depression, bipolar disorder), social anxiety, obsessive-compulsive disorder, schizophrenia, healthy adults, and high-risk subthreshold depression longitudinally through multicenter joint research. 
By data analysis using AI technology, we propose a method for differentiating bipolar depression and unipolar depression, a method for predicting treatment responsiveness, and a biotype based on the brain circuit of 5 diseases that often coexist and overlap. We are also conducting research on neurofeedback therapy as a non-pharmacological treatment that efficiently regulates the brain circuit of depression and animal research on the mechanism of neural circuit abnormalities in depression with unfavorable childhood experiences.


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