Hierarchical clustering to measure connectivity in fMRI resting-state data

Magnetic Resonance Imaging

Volumn 20, Issue 4, 2002, Pages 305-317

  Cordes, Dietmar ^a   Haughton, Vic ^b   Carew, John D ^c   Arfanakis, Konstantinos ^d   Maravilla, Ken ^a  

^a UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

^c University of Wisconsin Madison   (United States)

^d UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

Clustering; Functional imaging; Physiological fluctuations; Resting state

Indexed keywords

ADULT; ARTICLE; ARTIFACT; BRAIN BLOOD FLOW; BRAIN MAPPING; BRAIN OXYGEN CONSUMPTION; BRAIN REGION; BREATHING PATTERN; CLUSTER ANALYSIS; CONTROLLED STUDY; FREQUENCY MODULATION; HEART CYCLE; HUMAN; HUMAN EXPERIMENT; MEASUREMENT; MOTION; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; OSCILLATION; OXYGENATION; PRIORITY JOURNAL; TASK PERFORMANCE;

ADULT; ALGORITHMS; BRAIN; CLUSTER ANALYSIS; ECHO-PLANAR IMAGING; HUMANS; MAGNETIC RESONANCE IMAGING; MALE;

MAMMALIA;

EID: 0036563292     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0730-725X(02)00503-9     Document Type: Article

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