Detection of brain functional-connectivity difference in post-stroke patients using group-level covariance modeling

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

Volumn 6361 LNCS, Issue PART 1, 2010, Pages 200-208

  Varoquaux, Gaël ^a   Baronnet, Flore ^b   Kleinschmidt, Andreas ^b   Fillard, Pierre ^a   Thirion, Bertrand ^a  

^a INRIA SACLAY   (France)

^b NeuroSpin   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS; MAGNETIC RESONANCE IMAGING;

CONNECTIVITY COEFFICIENT; COVARIANCE MODELING; FUNCTIONAL CONNECTIVITY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; POST STROKE PATIENTS; PROBABILISTIC MODELING; STANDARD PROCEDURES; SYMMETRIC POSITIVE DEFINITE;

FUNCTIONAL NEUROIMAGING;

ALGORITHM; ANALYSIS OF VARIANCE; ARTICLE; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; STROKE;

ALGORITHMS; ANALYSIS OF VARIANCE; BRAIN; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STROKE;

EID: 84867295219     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15705-9_25     Document Type: Conference Paper

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