Bayesian network analysis reveals alterations to default mode network connectivity in individuals at risk for Alzheimer's disease

PLoS ONE

Volumn 8, Issue 12, 2013, Pages

  Li, Rui ^a,b   Yu, Jing ^a,c   Zhang, Shouzi ^d   Bao, Feng ^e   Wang, Pengyun ^a,b   Huang, Xin ^a,b   Li, Juan ^a,b  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b INSTITUTE OF PSYCHOLOGY   (China)

^c SOUTHWEST UNIVERSITY   (China)

^d Beijing Geriatric Hospital   (China)

^e CAPITAL MEDICAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ALZHEIMER DISEASE; ARTICLE; BAYES THEOREM; BRAIN MAPPING; BRAIN REGION; CLINICAL ARTICLE; CONNECTOME; CONTROLLED STUDY; DEFAULT MODE NETWORK; FEMALE; HUMAN; INDEPENDENT COMPONENT ANALYSIS; MALE; MENTAL PERFORMANCE; MILD COGNITIVE IMPAIRMENT; PARIETAL LOBE;

AGED; ALZHEIMER DISEASE; BAYES THEOREM; COGNITION; DEMOGRAPHY; FEMALE; HUMANS; MALE; MILD COGNITIVE IMPAIRMENT; NERVE NET; RISK FACTORS;

EID: 84891941471     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0082104     Document Type: Article

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