Prof. Jiook Cha
April 15(Thu) - April 15(Thu), 2021
12.15PM
ZOOM (ID: 728-142-6028)
Neuro@noon Seminar
Date: 12:15 PM, Thursday, Apr 15th
ZOOM 회의 참가 ID: 728-142-6028
Speaker: Prof. Jiook Cha
(Department of Psychology & Department of Brain and Cognitive Sciences, Seoul National University)
Title: Big data science in human neuroscience
Abstract: The capability of predicting an individual's cognitive, emotional, behavioral trajectories is a barometer of our understanding of the brain. However, current human neuroscience has not yet reached that point. The majority of the models of cognition, emotion, and psychiatric disorders showing statistical significance often lacks predictability and reproducibility, thus presents suboptimal practical significance. This incapability leaves numerous urgent unmet needs in Psychology and Psychological Medicine: e.g., the ever-increasing global rates of mental disorders. Rigorous neuroimaging-based predictive models may lead to prescriptive models, which will improve our understanding of human minds and behaviors, as well as diagnostics and therapeutics of mental disorders. I suggest that neuroscience and psychology should leverage the rapidly growing biobanks hosting the large scale, multi modal biomedical data. These resources include structural and functional brain imaging often linked to genome and phenome data with unprecedented volumes, opening the new era of imaging-genetics in contemporary epidemiological populations. Further, the multiple biobanks allow investigation across the full spectrum of the lifespan ranging from neonatal stages to aging, as well as in those with mental disorders. The forthcoming computer-aided understanding of human minds and behaviors in normal and disease conditions will complement the mainstream reductionists approach in this field. In this talk, I will discuss the rationales, prerequisites, and applications of computational learning in big biomedical data in human neuroscience and psychology.