Bottom up modeling of the connectome: Linking structure and function in the resting brain and their changes in aging

NeuroImage

Volumn 80, Issue , 2013, Pages 318-329

  Nakagawa, Tristan T ^a   Jirsa, Viktor K ^b   Spiegler, Andreas ^b   McIntosh, Anthony R ^c   Deco, Gustavo ^a  

^a UNIVERSITAT POMPEU FABRA   (Spain)

^b AIX MARSEILLE UNIVERSITY   (France)

^c UNIVERSITY OF TORONTO   (Canada)

Author keywords

Aging; Complexity; Criticality; MSE; Multiscale entropy; Resting state models; Structure function

Indexed keywords

AGING; ALGORITHM; ANALYTIC METHOD; ANATOMICAL VARIATION; ARTICLE; BOLD SIGNAL; BRAIN FUNCTION; BRAIN REGION; BRAIN SIZE; CALCULATION; COGNITION; COMPARATIVE STUDY; CONNECTOME; EXECUTIVE FUNCTION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GRAY MATTER; HEMODYNAMICS; HUMAN; MEMBRANE POTENTIAL; PRIORITY JOURNAL; RESTING STATE NETWORK; SIMULATION; SPIKING MODEL; TASK PERFORMANCE; THEORETICAL MODEL; WHITE MATTER; WORKING MEMORY;

AGING; COMPLEXITY; CRITICALITY; MSE; MULTISCALE ENTROPY; RESTING-STATE MODELS; STRUCTURE-FUNCTION;

AGING; BRAIN; CONNECTOME; DIFFUSION TENSOR IMAGING; HUMANS; MODELS, ANATOMIC; MODELS, NEUROLOGICAL; NERVE NET; REST;

EID: 84880328558     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.04.055     Document Type: Article

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