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.
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Acknowledgments
The authors thank Drs. Rhoda E. and Edmund F. Perozzi for English language assistance. This work was supported by the Natural Science Foundation of China (Grant No. 30425004 and Grant No. 30730035), and the National Key Basic Research and Development Program (973) (Grant No. 2007CB512304).
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Zhou, Y., Wang, K., Liu, Y., Song, M., Song, S.W., Jiang, T. (2011). Spontaneous Low-Frequency Fluctuation Observed with Functional Magnetic Resonance Imaging as a Potential Biomarker in Neuropsychiatric Disorders. In: Wang, R., Gu, F. (eds) Advances in Cognitive Neurodynamics (II). Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9695-1_7
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DOI: https://doi.org/10.1007/978-90-481-9695-1_7
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