Spontaneous Low-Frequency Fluctuation Observed with Functional Magnetic Resonance Imaging as a Potential Biomarker in Neuropsychiatric Disorders
BibTeX
@MISC{Zhou_spontaneouslow-frequency,
author = {Yuan Zhou and Kun Wang and Yong Liu and Ming Song and Sonya W Song and Tianzi Jiang},
title = {Spontaneous Low-Frequency Fluctuation Observed with Functional Magnetic Resonance Imaging as a Potential Biomarker in Neuropsychiatric Disorders},
year = {}
}
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Abstract
Abstract. As functional magnetic resonance imaging (fMRI) studies have yielded increasing amounts of information about the brain’s spontaneous activity, they have revealed fMRI’s potential to locate changes in brain hemodynamics in neuropsychiatric disorders. In this paper, we review studies that support the notion that changes in spontaneous low-frequency fluctuation (SLFF) observed by fMRI can be used as potential biomarkers for diagnosis and treatment evaluation in neuropsychiatric disorders. In this paper, we review the methods used to study SLFF from individual region of interest analysis, to local network analysis, to whole brain network analysis. We also summarize the major findings associated with major neurological and psychiatric disorders obtained using these methods.
