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The effects of physiologically plausible connectivity structure on local and global dynamics in large scale brain models.

Abstract：

:Functionally relevant large scale brain dynamics operates within the framework imposed by anatomical connectivity and time delays due to finite transmission speeds. To gain insight on the reliability and comparability of large scale brain network simulations, we investigate the effects of variations in the anatomical connectivity. Two different sets of detailed global connectivity structures are explored, the first extracted from the CoCoMac database and rescaled to the spatial extent of the human brain, the second derived from white-matter tractography applied to diffusion spectrum imaging (DSI) for a human subject. We use the combination of graph theoretical measures of the connection matrices and numerical simulations to explicate the importance of both connectivity strength and delays in shaping dynamic behaviour. Our results demonstrate that the brain dynamics derived from the CoCoMac database are more complex and biologically more realistic than the one based on the DSI database. We propose that the reason for this difference is the absence of directed weights in the DSI connectivity matrix.

journal_name

J Neurosci Methods

journal_title

Journal of neuroscience methods

authors

Knock SA,McIntosh AR,Sporns O,Kötter R,Hagmann P,Jirsa VK

doi

10.1016/j.jneumeth.2009.07.007

subject

Has Abstract

pub_date

2009-09-30 00:00:00

pages

86-94

issue

1

eissn

0165-0270

issn

1872-678X

pii

S0165-0270(09)00370-7

journal_volume

183

pub_type

杂志文章

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