A new mathematical approach for detection of active area in human brain fMRI using nonlinear model

Biomedical Engineering - Applications, Basis and Communications

Volumn 22, Issue 5, 2010, Pages 409-418

  Taalimi, Ali ^a   Fatemizadeh, Emad ^a  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Activation detection; Functional magnetic resonance imaging; Nonlinear auto regressive model

Indexed keywords

ACTIVATION DETECTION; ACTIVE AREA; ACTIVE REGION DETECTIONS; ACTIVE STATE; AUTO REGRESSIVE MODELS; BLOOD OXYGENATION; BRAIN REGIONS; EXISTING METHOD; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN BRAIN; MATHEMATICAL APPROACH; MATHEMATICAL RELATIONSHIP; MODEL PARAMETERS; NEURAL ACTIVITY; NON-LINEAR MODEL; NONLINEAR AUTO-REGRESSIVE MOVING AVERAGES; NONLINEAR BEHAVIOR; OUTPUT SIGNAL; PHYSIOLOGICAL SYSTEMS; SIGNAL ACTIVITY; SIGNAL RESPONSE; SIMULATED DATASETS; TIME VARIANT;

BRAIN; MAGNETIC RESONANCE IMAGING; OXYGENATION; PHYSIOLOGICAL MODELS; RESONANCE; SIGNAL DETECTION;

MATHEMATICAL MODELS;

ARTICLE; BLOOD OXYGENATION; BRAIN BLOOD FLOW; BRAIN REGION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE ANALYSIS; MATHEMATICAL MODEL; NERVE CELL NETWORK; NEUROIMAGING; NONLINEAR SYSTEM; SIGNAL DETECTION; STIMULUS RESPONSE; TASK PERFORMANCE;

EID: 78049281930     PISSN: 10162372     EISSN: None     Source Type: Journal    
DOI: 10.4015/S1016237210002171     Document Type: Article

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