内容紹介

In this presentation, I will introduce two of my previous studies; 1) method development for estimating human brain functional networks from multimodal non-invasive neuroimaging data and 2) characterization of the dynamics human brain functional networks using network analysis methods. The first study applied state space modeling and variational Bayesian techniques to the estimation problem. Our method allows reasonably estimating distributed current source activities and their directed functional connectivity across the whole brain, from Magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI), and diffusion MRI data. The second study focused on temporal fluctuations in the modularity of human brain functional networks measured with resting-state fMRI data. This study demonstrated how global patterns of functional connectivity change while fluctuating modularity and the extent to which simulation of large-scale brain activity can replicate our empirical findings.

詳細情報

刊年

2020

形態

電子化映像資料(45分29秒）

シリーズ名

情報科学領域・コロキアム ; 2020年度

注記

講演者所属: 情報科学領域

講演日: 2020年6月4日

講演場所:

標題言語

英語 (eng)

本文言語

英語 (eng)

著者情報

Fukushima, Makoto