Multivariate network-level approach to detect interactions between large-scale functional systems

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

Volumn 6362 LNCS, Issue PART 2, 2010, Pages 298-305

  Gao, Wei ^a   Zhu, Hongtu ^a,b   Giovanello, Kelly ^a,c   Lin, Weili ^a  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^b IL   (United States)

^c University of North Carolina at Chapel Hill   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN STATE; COMMONLY USED; ESTABLISHED NETWORKS; FINGER TAPPING; FUNCTIONAL CONNECTIVITY; FUNCTIONAL SYSTEMS; INTERACTION PATTERN; LEVEL CORRELATION; MULTIVARIATE NETWORK; NETWORK LEVEL;

MEDICAL IMAGING;

MEDICAL COMPUTING;

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

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

EID: 84883834219     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15745-5_37     Document Type: Conference Paper

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