caa a22 4500 445295066 CHVBK 20180317142539.0 cr unu---uuuuu 170323e20101201xx s 000 0 eng 10.1007/s11571-010-9126-9 doi (NATIONALLICENCE)springer-10.1007/s11571-010-9126-9 Spontaneous brain activity observed with functional magnetic resonance imaging as a potential biomarker in neuropsychiatric disorders [Elektronische Daten] [Yuan Zhou, Kun Wang, Yong Liu, Ming Song, Sonya Song, Tianzi Jiang] 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 that are associated with neuropsychiatric disorders. In this paper, we review studies that support the notion that changes in brain spontaneous activity observed by fMRI can be used as potential biomarkers for diagnosis and treatment evaluation in neuropsychiatric disorders. We first review the methods used to study spontaneous activity from the perspectives of (1) the properties of local spontaneous activity, (2) the spatial pattern of spontaneous activity, and (3) the topological properties of brain networks. We also summarize the major findings associated with major neuropsychiatric disorders obtained using these methods. Then we review the pilot studies that have used spontaneous activity to discriminate patients from normal controls. Finally, we discuss current challenges and potential research directions to further elucidate the clinical use of spontaneous brain activity in neuropsychiatric disorders. Springer Science+Business Media B.V., 2010 Resting-state fMRI nationallicence Low frequency fluctuation nationallicence Functional connectivity nationallicence Alzheimer's disease nationallicence Schizophrenia nationallicence Zhou Yuan Center for Social and Economic Behavior, Institute of Psychology, Chinese Academy of Sciences, Beijing, People's Republic of China aut Wang Kun LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, People's Republic of China aut Liu Yong LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, People's Republic of China aut Song Ming LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, People's Republic of China aut Song Sonya LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, People's Republic of China aut Jiang Tianzi LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, People's Republic of China aut Cognitive Neurodynamics Springer Netherlands 4/4(2010-12-01), 275-294 1871-4080 4:4<275 2010 4 11571 https://doi.org/10.1007/s11571-010-9126-9 text/html Onlinezugriff via DOI 1 review-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11571-010-9126-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhou Yuan Center for Social and Economic Behavior, Institute of Psychology, Chinese Academy of Sciences, Beijing, People's Republic of China aut NATIONALLICENCE 700 1- Wang Kun LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, People's Republic of China aut NATIONALLICENCE 700 1- Liu Yong LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, People's Republic of China aut NATIONALLICENCE 700 1- Song Ming LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, People's Republic of China aut NATIONALLICENCE 700 1- Song Sonya LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, People's Republic of China aut NATIONALLICENCE 700 1- Jiang Tianzi LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, People's Republic of China aut NATIONALLICENCE 773 0- Cognitive Neurodynamics Springer Netherlands 4/4(2010-12-01), 275-294 1871-4080 4:4<275 2010 4 11571 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer