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Although many previous studies have proposed different parcellation schemes for the LIPL, the detailed functional organization of the LIPL and the exact correspondence between the DMN and LIPL subregions remain unclear. Mounting evidence indicates that spontaneous fluctuations in the brain are strongly associated with cognitive performance at the behavioral level. However, whether a consistent functional topographic organization of the LIPL during rest and under task can be revealed remains unknown. Here, they used resting\u2010state functional connectivity (RSFC) and task\u2010related coactivation patterns separately to parcellate the LIPL and identified seven subregions. Four subregions were located in the supramarginal gyrus (SMG) and three subregions were located in the angular gyrus (AG). The subregion\u2010specific networks and functional characterization revealed that the four anterior subregions were found to be primarily involved in sensorimotor processing, movement imagination and inhibitory control, audition perception and speech processing, and social cognition, whereas the three posterior subregions were mainly involved in episodic memory, semantic processing, and spatial cognition. The results revealed a detailed functional organization of the LIPL and suggested that the LIPL is a functionally heterogeneous area. In addition, the present study demonstrated that the functional architecture of the LIPL during rest corresponds with that found in task processing. <jats:italic>Hum Brain Mapp 38:1659\u20131675, 2017<\/jats:italic>. \u00a9 2017 Wiley Periodicals, Inc.<\/jats:p>","DOI":"10.1002\/hbm.23488","type":"journal-article","created":{"date-parts":[[2017,1,3]],"date-time":"2017-01-03T10:16:56Z","timestamp":1483438616000},"page":"1659-1675","source":"Crossref","is-referenced-by-count":105,"title":["Correspondent Functional Topography of the Human Left Inferior Parietal Lobule at Rest and Under Task Revealed Using Resting\u2010State f<scp>MRI<\/scp> and Coactivation Based Parcellation"],"prefix":"10.1002","volume":"38","author":[{"given":"Jiaojian","family":"Wang","sequence":"first","affiliation":[{"name":"Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology University of Electronic Science and Technology of China Chengdu 625014 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China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter T.","family":"Fox","sequence":"additional","affiliation":[{"name":"Research Imaging Institute, University of Texas Health Science Center at San Antonio San Antonio Texas"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simon B.","family":"Eickhoff","sequence":"additional","affiliation":[{"name":"Institute of Neuroscience and Medicine (INM\u20101), Research Centre J\u00fclich J\u00fclich Germany"},{"name":"Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University Dusseldorf Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianzi","family":"Jiang","sequence":"additional","affiliation":[{"name":"Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology University of Electronic Science and Technology of China Chengdu 625014 China"},{"name":"Brainnetome Center, Institute of Automation, Chinese Academy of 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