Int J Neural Syst - Adaptive filtering and random variables coefficient for analyzing functional magnetic resonance imaging data.

Tópicos

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{ imag(2675) segment(2577) method(1081) }
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{ patient(1821) servic(1111) care(1106) }
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{ detect(2391) sensit(1101) algorithm(908) }

Resumo

Functional magnetic resonance imaging (fMRI) is used to study brain functional connectivity (FC) after filtering the physiological noise (PN). Herein, we employ: adaptive filtering for removing nonstationary PN; random variables (RV) coefficient for FC analysis. Comparisons with standard techniques were performed by quantifying PN filtering and FC in neural vs. non-neural regions. As a result, adaptive filtering plus RV coefficient showed a greater suppression of PN and higher connectivity in neural regions, representing a novel effective approach to analyze fMRI data.

Resumo Limpo

function magnet reson imag fmri use studi brain function connect fc filter physiolog nois pn herein employ adapt filter remov nonstationari pn random variabl rv coeffici fc analysi comparison standard techniqu perform quantifi pn filter fc neural vs nonneur region result adapt filter plus rv coeffici show greater suppress pn higher connect neural region repres novel effect approach analyz fmri data

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