title: A pairwise maximum entropy model accurately describes resting-state human brain networks.
abstract: The resting-state human brain networks underlie fundamental cognitive functions and consist of complex interactions among brain regions. However, the level of complexity of the resting-state networks has not been quantified, which has prevented comprehensive descriptions of the brain activity as an integrative system. Here, we address this issue by demonstrating that a pairwise maximum entropy model, which takes into account region-specific activity rates and pairwise interactions, can be robustly and accurately fitted to resting-state human brain activities obtained by functional magnetic resonance imaging. Furthermore, to validate the approximation of the resting-state networks by the pairwise maximum entropy model, we show that the functional interactions estimated by the pairwise maximum entropy model reflect anatomical connexions more accurately than the conventional functional connectivity method. These findings indicate that a relatively simple statistical model not only captures the structure of the resting-state networks but also provides a possible method to derive physiological information about various large-scale brain networks.
authors: Department of Physiology, The University of Tokyo School of Medicine, Tokyo 113-0033, Japan.
authors: Takamitsu
authors: T
authors: Watanabe
authors: Satoshi
authors: S
authors: Hirose
authors: Hiroyuki
authors: H
authors: Wada
authors: Yoshio
authors: Y
authors: Imai
authors: Toru
authors: T
authors: Machida
authors: Ichiro
authors: I
authors: Shirouzu
authors: Seiki
authors: S
authors: Konishi
authors: Yasushi
authors: Y
authors: Miyashita
authors: Naoki
authors: N
authors: Masuda
mesh_terms: D001921:Brain / Q000502:physiology*; D019277:Entropy; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D012372:ROC Curve; D015203:Reproducibility of Results; D012146:Rest / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted; D013223:Statistics as Topic; D055815:Young Adult