Characterizing structural association alterations within brain networks in normal aging using Gaussian Bayesian networks

Frontiers in Computational Neuroscience

Volumn 8, Issue SEP, 2014, Pages

  Guo, Xiaojuan ^a   Wang, Yan ^a   Chen, Kewei ^b   Wu, Xia ^a   Zhang, Jiacai ^a   Li, K ^c   Jin, Zhen ^c   Yao, L ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

^b BANNER ALZHEIMER S INSTITUTE   (United States)

^c 306 HOSPITAL OF PLA   (China)

Author keywords

Aging; Bayesian networks; Gray matter volume; Structural association; Structural networks

Indexed keywords

BAYESIAN NETWORKS;

BRAIN NETWORKS; GAUSSIAN BAYESIAN NETWORKS; GRAY MATTER VOLUMES; STRUCTURAL ASSOCIATIONS; STRUCTURAL NETWORKS;

AGING OF MATERIALS;

ACCURACY; ADULT; AGED; AGING; ARTICLE; AUDITORY CORTEX; BAYES THEOREM; BRAIN REGION; CONTROLLED STUDY; CORRELATIONAL STUDY; FEMALE; GRAY MATTER; HUMAN; HUMAN EXPERIMENT; LEFT HEMISPHERE; MALE; MOTOR CORTEX; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; RELIABILITY; RIGHT HEMISPHERE; STATISTICAL MODEL; VISUAL CORTEX; VOLUMETRY;

EID: 84907495409     PISSN: 16625188     EISSN: 16625188     Source Type: Journal    
DOI: 10.3389/fncom.2014.00122     Document Type: Article

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