Test-retest reliability of graph theory measures of structural brain connectivity

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7512 LNCS, Issue , 2012, Pages 305-312

  Dennis, Emily L ^a   Jahanshad, Neda ^a   Toga, Arthur W ^a   McMahon, Katie L ^b   de Zubicaray, Greig I ^b   Martin, Nicholas G ^c   Wright, Margaret J ^b,c   Thompson, Paul M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c QIMR BERGHOFER MEDICAL RESEARCH INSTITUTE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; MEDICAL COMPUTING; MEDICAL IMAGING; NEUROMUSCULAR REHABILITATION; RELIABILITY THEORY;

ACQUISITION PARAMETERS; BRAIN CONNECTIVITY; GLOBAL CONNECTIVITY; HIGH ANGULAR RESOLUTIONS; NETWORK EFFICIENCY; RELIABILITY MEASURE; STRUCTURAL CONNECTIVITY; TEST-RETEST RELIABILITY;

GRAPH THEORY;

ADULT; ALGORITHM; ARTICLE; BRAIN; COMPUTER ASSISTED DIAGNOSIS; CONNECTOME; DIFFUSION TENSOR IMAGING; FEMALE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; MYELINATED NERVE; NERVE CELL NETWORK; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; ULTRASTRUCTURE;

ALGORITHMS; BRAIN; CONNECTOME; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; NERVE FIBERS, MYELINATED; NERVE NET; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

MLCS; MLOWN;

EID: 84872977615     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33454-2_38     Document Type: Conference Paper

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