Efficient estimation of time-dependent brain functional connectivity using anatomical connectivity constraints

There is ongoing interest in the dynamics of resting state brain networks (RSNs) as potential predictors of cognitive and behavioural states. Multivariate Autoregressors (MAR) are used to model regional brain activity as a linear combination of past activity in other regions. The coefficients of the...

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Veröffentlicht in:	IEEE access 2023-01, Vol.11, p.1-1
Hauptverfasser:	Larzabal, Hernan Hernandez, Araya, David, Rodriguez, Lazara Liset Gonzalez, Roman, Claudio, Trujillo-Barreto, Nelson, Guevara, Pamela, El-Deredy, Wael
Format:	Artikel
Sprache:	eng
Schlagworte:	Anatomical Constraint Brain Brain modeling Brain state Coefficients Constrictions Data collection Data models Estimation Hidden Markov models Hidden Semi Markov Model Markov chains Mathematical models Medical imaging Multivariate Autoregressive Model Networks Neuroimaging State duration Switches Time dependence Time series
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