2021
DOI: 10.1038/s42003-021-01700-6
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Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states

Abstract: A major challenge in neuroscience is determining a quantitative relationship between the brain’s white matter structural connectivity and emergent activity. We seek to uncover the intrinsic relationship among brain regions fundamental to their functional activity by constructing a pairwise maximum entropy model (MEM) of the inter-ictal activation patterns of five patients with medically refractory epilepsy over an average of ~14 hours of band-passed intracranial EEG (iEEG) recordings per patient. We find that … Show more

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Cited by 19 publications
(30 citation statements)
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References 92 publications
(132 reference statements)
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“…The change from preictal to ictal SFC is denoted ΔSFC. This finding supports the hypothesis that seizure activity harnesses the underlying structural connectivity of the brain 23,24 . SFC was similarly calculated for random whole-brain atlases.…”
Section: Resultssupporting
confidence: 87%
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“…The change from preictal to ictal SFC is denoted ΔSFC. This finding supports the hypothesis that seizure activity harnesses the underlying structural connectivity of the brain 23,24 . SFC was similarly calculated for random whole-brain atlases.…”
Section: Resultssupporting
confidence: 87%
“…We show that SFC increases during the ictal state for many atlases (CerebrA, AAL2, Craddock 400), but not all atlases (Hammersmith). The increase in SFC during seizures follows previous SFC publications with ECoG 23,24 . Similarly, SFC increases for a subset of random whole-brain atlases.…”
Section: Resultssupporting
confidence: 83%
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