Identification of MCI using optimal sparse MAR modeled effective connectivity networks

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 319-327

  Wee, Chong Yaw ^a   Li, Yang ^a,b   Jie, Biao ^a,c   Peng, Zi Wen ^a   Shen, Dinggang ^a  

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

^b BEIHANG UNIVERSITY   (China)

^c NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CAUSAL RELATIONSHIPS; EFFECTIVE CONNECTIVITIES; LOW FREQUENCY FLUCTUATIONS; MILD COGNITIVE IMPAIRMENTS (MCI); MULTIVARIATE AUTOREGRESSIVE (MAR) MODEL; ORTHOGONAL LEAST SQUARES; REGRESSION ALGORITHMS; RESTING-STATE FUNCTIONAL MAGNETIC RESONANCE IMAGING;

BRAIN; LOW PASS FILTERS; MAGNETIC RESONANCE IMAGING; NEURODEGENERATIVE DISEASES; OPTIMIZATION; TIME SERIES;

COMPLEX NETWORKS;

AGED; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN MAPPING; COMPUTER ASSISTED DIAGNOSIS; CONNECTOME; FEMALE; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; MILD COGNITIVE IMPAIRMENT; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

AGED; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN MAPPING; CONNECTOME; DATA INTERPRETATION, STATISTICAL; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MILD COGNITIVE IMPAIRMENT; NERVE NET; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84885917936     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40763-5_40     Document Type: Conference Paper

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