Enhancing the reproducibility of group analysis with randomized brain parcellations

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

Volumn 8150 LNCS, Issue PART 2, 2013, Pages 591-598

  Da Mota, Benoit ^a,b   Fritsch, Virgile ^a,b   Varoquaux, Gaël ^a,b   Frouin, Vincent ^b   Poline, Jean Baptiste ^b,c   Thirion, Bertrand ^a,b  

^a INRIA SACLAY   (France)

^b DIF   (France)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

group analysis; neuroimaging; parcellation; reproducibility

Indexed keywords

FUNCTIONAL MAGNETIC RESONANCE IMAGING; GENETIC VARIABLES; GENETIC VARIANTS; GROUP ANALYSIS; PARCELLATION; PERMUTATION TESTS; REPRODUCIBILITIES; VOXEL-BASED ANALYSIS;

MAGNETIC RESONANCE IMAGING; NEUROIMAGING;

RISK ASSESSMENT;

ALGORITHM; ARTICLE; BRAIN; BRAIN MAPPING; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; BRAIN; BRAIN MAPPING; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; NERVE NET; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84885928760     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40763-5_73     Document Type: Conference Paper

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