Joint spectral decomposition for the parcellation of the human cerebral cortex using resting-state fMRI

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

Volumn 9123, Issue , 2015, Pages 85-97

  Arslan, Salim ^a   Parisot, Sarah ^a   Rueckert, Daniel ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; COMPUTATION THEORY; GRAPH THEORY;

CONNECTIVITY PROFILE; FUNCTIONAL CONNECTION; FUNDAMENTAL PROPERTIES; IN-NETWORK ANALYSIS; MULTI-LAYER GRAPHS; RESTING-STATE FMRI; SPECTRAL DECOMPOSITION; SPECTRAL GRAPH THEORY;

FUNCTIONAL NEUROIMAGING;

ADULT; ALGORITHM; BRAIN CORTEX; COMPUTER ASSISTED DIAGNOSIS; CONNECTOME; FEMALE; HUMAN; IMAGE ENHANCEMENT; MALE; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; REST; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

ADULT; ALGORITHMS; CEREBRAL CORTEX; CONNECTOME; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; NERVE NET; REPRODUCIBILITY OF RESULTS; REST; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 84983655839     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-19992-4_7     Document Type: Conference Paper

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