Reference : Cerebral functional connectivity periodically (de)synchronizes with anatomical constraints
Scientific journals : Article
Human health sciences : Multidisciplinary, general & others
http://hdl.handle.net/2268/172446
Cerebral functional connectivity periodically (de)synchronizes with anatomical constraints
English
Liegeois, Raphaël mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Ziegler, Erik mailto [> >]
Bahri, Mohamed Ali mailto [Université de Liège > > Centre de recherches du cyclotron >]
Phillips, Christophe mailto [Université de Liège > > Centre de recherches du cyclotron >]
Geurts, Pierre mailto [Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Algorith. des syst. en interaction avec le monde physique >]
Gomez, Francisco mailto [> >]
Yeo, Thoms [> >]
VANHAUDENHUYSE, Audrey mailto [Centre Hospitalier Universitaire de Liège - CHU > > Algologie - soins palliatifs >]
Soddu, Andrea mailto [Université de Liège > > Centre de recherches du cyclotron >]
LAUREYS, Steven mailto [Centre Hospitalier Universitaire de Liège - CHU > > Neurologie Sart Tilman >]
Sepulchre, Rodolphe mailto [Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Jul-2015
Brain Structure and Function
Yes
International
[en] Medical imaging ; Functional connectivity ; Consciousness
[en] This paper studies the link between resting-state functional connectivity (FC), measured by the correlations of the fMRI BOLD time courses, and structural connectivity (SC), estimated through fiber tractography. Instead of a static analysis based on the correlation between SC and the FC averaged over the entire fMRI time series, we propose a dynamic analysis, based on the time evolution of the correlation between SC and a suitably windowed FC. Assessing the statistical significance of the time series against random phase permutations, our data show a pronounced peak of significance for time window widths around 20-30 TR (40-60 sec). Using the appropriate window width, we show that FC patterns oscillate between phases of high modularity, primarily shaped by anatomy, and phases of low modularity, primarily shaped by inter-network connectivity. Building upon recent results in dynamic FC, this emphasizes the potential role of SC as a transitory architecture between different highly connected resting state FC patterns. Finally, we show that networks implied in consciousness-related processes, such as the default mode network (DMN), contribute more to these brain-level fluctuations compared to other networks, such as the motor or somatosensory networks. This suggests that the fluctuations between FC and SC are capturing mind-wandering effects.
Researchers
http://hdl.handle.net/2268/172446

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