Seminar "Decoding brain states, traits and disorders from whole-brain functional connectivity"

Neural Computation Unit (Doya Unit) would like to invite you to a seminar as follows.
 

Date: Wednesday, April 12
Time: 14:00-15:00
Venue: Meeting Room D015 - L1 Bldg

Speaker: Yu Takagi
Graduate School of Information Science, Nara Institute of Science and Technology

Title: Decoding brain states, traits and disorders from whole-brain functional connectivity.

Abstract: What makes individuals unique is a long-standing research question of neuroscience. Recently, growing studies of functional magnetic resonance imaging (fMRI) point to the utility of functional connectivity (FC) to elucidate neural mechanisms of various individual characteristics including age, intelligence and disorders. Although most of the previous works have focused on local neural circuit, recent studies have revealed that relevant FCs for various characteristics are widely distributed in our brain rather than locally constrained. In this presentation, I will talk about our works using human fMRI and machine learning for decoding state, trait and disorder of individual from whole-brain FC in a data driven manner. First, I will introduce our work for making a reliable resting-state FC biomarker of obsessive-compulsive disorder from whole-brain FC. Next, I will talk about our work for decoding 'anxiety' from whole-brain FC. In this work, we analyzed different datasets corresponding to state-, trait- and pathological-anxiety in a single scale. Finally, I will introduce ongoing research topic for investigating the neural networks related to general intelligence, by extracting stably appeared pattern of whole-brain FC across various states.

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We hope to see many of you.