Network structure of cerebral cortex shapes functional connectivity on multiple time scales

Proceedings of the National Academy of Sciences of the United States of America - Tập 104 Số 24 - Trang 10240-10245 - 2007
Christopher J. Honey1, Rolf Kötter2,3, Michael Breakspear4, Olaf Sporns1
1Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405
2Cecile and Oskar Vogt Brain Research Institute and Institute of Anatomy II, Heinrich Heine University, Moorenstrasse 5, D-40225 Düsseldorf, Germany; and
3Department of Cognitive Neuroscience, Section of Neurophysiology and Neuroinformatics, Radboud University Medical Center, 6500 HB, Nijmegen, The Netherlands;
4School of Psychiatry, University of New South Wales, and The Black Dog Institute, Randwick NSW 2031, Australia

Tóm tắt

Neuronal dynamics unfolding within the cerebral cortex exhibit complex spatial and temporal patterns even in the absence of external input. Here we use a computational approach in an attempt to relate these features of spontaneous cortical dynamics to the underlying anatomical connectivity. Simulating nonlinear neuronal dynamics on a network that captures the large-scale interregional connections of macaque neocortex, and applying information theoretic measures to identify functional networks, we find structure–function relations at multiple temporal scales. Functional networks recovered from long windows of neural activity (minutes) largely overlap with the underlying structural network. As a result, hubs in these long-run functional networks correspond to structural hubs. In contrast, significant fluctuations in functional topology are observed across the sequence of networks recovered from consecutive shorter (seconds) time windows. The functional centrality of individual nodes varies across time as interregional couplings shift. Furthermore, the transient couplings between brain regions are coordinated in a manner that reveals the existence of two anticorrelated clusters. These clusters are linked by prefrontal and parietal regions that are hub nodes in the underlying structural network. At an even faster time scale (hundreds of milliseconds) we detect individual episodes of interregional phase-locking and find that slow variations in the statistics of these transient episodes, contingent on the underlying anatomical structure, produce the transfer entropy functional connectivity and simulated blood oxygenation level-dependent correlation patterns observed on slower time scales.

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Proceedings of the National Academy of Sciences of the United States of America

Tập 104 Số 24

10240-10245

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