A nonlinear dynamic approach reveals a long-term stroke effect on cerebral blood flow regulation at multiple time scales

PLoS Computational Biology

Volumn 8, Issue 7, 2012, Pages

  Hu, Kun ^a,b   Lo, Men Tzung ^a,b   Peng, Chung Kang ^a,b   Liu, Yanhui ^c   Novak, Vera ^a,b  

^a HARVARD MEDICAL SCHOOL   (United States)

^b NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^c DynaDx Corporation   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD VESSELS; COMPUTATION THEORY; FLOW VELOCITY; HEMODYNAMICS; NONLINEAR ANALYSIS; TRANSFER FUNCTIONS;

BLOOD FLOW VELOCITY; CEREBRAL AUTOREGULATION; CEREBRAL BLOOD FLOW; DYNAMIC APPROACHES; FLOW REGULATION; MULTIPLE TIME SCALE; NONSTATIONARY; PRESSURE FLOW; STROKE-EFFECT; TRANSFER FUNCTION ANALYSIS;

BLOOD PRESSURE;

ADULT; AGED; AMPLITUDE MODULATION; ARTICLE; AUTOREGULATION; BLOOD FLOW VELOCITY; BLOOD PRESSURE; BRAIN BLOOD FLOW; BRAIN INFARCTION; CLINICAL ARTICLE; COMPLEX FORMATION; FEMALE; FREQUENCY MODULATION; HUMAN; MALE; MATHEMATICAL COMPUTING; NONLINEAR SYSTEM; OSCILLATION; PATIENT ASSESSMENT; SIGNAL TRANSDUCTION; STROKE;

BOVINE FOAMY VIRUS;

EID: 84864591028     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002601     Document Type: Article

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