Comparison of nine tractography algorithms for detecting abnormal structural brain networks in Alzheimer's disease

Frontiers in Aging Neuroscience

Volumn 7, Issue APR, 2015, Pages

  Zhan, Liang ^a,b   Zhou, Jiayu ^c,d   Wang, Yalin ^c   Jin, Yan ^a   Jahanshad, Neda ^a   Prasad, Gautam ^a   Nir, Talia M ^a   Leonardo, Cassandra D ^a   Ye, Jieping ^c,d   Thompson, Paul M ^a,b  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^c ARIZONA STATE UNIVERSITY   (United States)

^d ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Alzheimer's disease; Brain network; Classification; Diffusion MRI; GLRAM; PCA; Tractography

Indexed keywords

AGED; ALZHEIMER DISEASE; ARTICLE; COGNITION; CONNECTOME; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIFFUSION TENSOR IMAGING; DIFFUSION WEIGHTED IMAGING; DISEASE CLASSIFICATION; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MILD COGNITIVE IMPAIRMENT; NERVE CELL NETWORK; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; POSITRON EMISSION TOMOGRAPHY; PRINCIPAL COMPONENT ANALYSIS; TRACTOGRAPHY;

EID: 84992236271     PISSN: None     EISSN: 16634365     Source Type: Journal    
DOI: 10.3389/fnagi.2015.00048     Document Type: Article

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