Automatic Physiological Waveform Processing for fMRI Noise Correction and Analysis
نویسندگان
چکیده
منابع مشابه
Automatic Physiological Waveform Processing for fMRI Noise Correction and Analysis
Functional MRI resting state and connectivity studies of brain focus on neural fluctuations at low frequencies which share power with physiological fluctuations originating from lung and heart. Due to the lack of automated software to process physiological signals collected at high magnetic fields, a gap exists in the processing pathway between the acquisition of physiological data and its use ...
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Physiological fluctuations resulting from the heart beat and respiration are a dominant source of noise in fMRI, particularly at high field strengths. Commonly used physiological noise correction techniques, such as RETROspective Image CORrection (RETROICOR), rely critically on the timing of the image acquisition relative to the heart beat, but do not account for the effects of subject motion. ...
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ژورنال
عنوان ژورنال: PLoS ONE
سال: 2008
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0001751