{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T06:04:47Z","timestamp":1778565887141,"version":"3.51.4"},"reference-count":41,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2015,7,14]],"date-time":"2015-07-14T00:00:00Z","timestamp":1436832000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"BMBF","award":["NGFNplus MooDS"],"award-info":[{"award-number":["NGFNplus MooDS"]}]},{"name":"DFG","award":["SFB 636-B7"],"award-info":[{"award-number":["SFB 636-B7"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Human Brain Mapping"],"published-print":{"date-parts":[[2015,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The application of global signal regression (GSR) to resting\u2010state functional magnetic resonance imaging data and its usefulness is a widely discussed topic. In this article, we report an observation of segregated distribution of amygdala resting\u2010state functional connectivity (rs\u2010FC) within the fusiform gyrus (FFG) as an effect of GSR in a multi\u2010center\u2010sample of 276 healthy subjects. Specifically, we observed that amygdala rs\u2010FC was distributed within the FFG as distinct anterior versus posterior clusters delineated by positive versus negative rs\u2010FC polarity when GSR was performed. To characterize this effect in more detail, post hoc analyses revealed the following: first, direct overlays of task\u2010functional magnetic resonance imaging derived face sensitive areas and clusters of positive versus negative amygdala rs\u2010FC showed that the positive amygdala rs\u2010FC cluster corresponded best with the fusiform face area, whereas the occipital face area corresponded to the negative amygdala rs\u2010FC cluster. Second, as expected from a hierarchical face perception model, these amygdala rs\u2010FC defined clusters showed differential rs\u2010FC with other regions of the visual stream. Third, dynamic connectivity analyses revealed that these amygdala rs\u2010FC defined clusters also differed in their rs\u2010FC variance across time to the amygdala. Furthermore, subsample analyses of three independent research sites confirmed reliability of the effect of GSR, as revealed by similar patterns of distinct amygdala rs\u2010FC polarity within the FFG. In this article, we discuss the potential of GSR to segregate face sensitive areas within the FFG and furthermore discuss how our results may relate to the functional organization of the face\u2010perception circuit. <jats:italic>Hum Brain Mapp 36:4089\u20134103, 2015<\/jats:italic>. \u00a9 <jats:bold>2015 Wiley Periodicals, Inc.<\/jats:bold><\/jats:p>","DOI":"10.1002\/hbm.22900","type":"journal-article","created":{"date-parts":[[2015,7,14]],"date-time":"2015-07-14T20:45:53Z","timestamp":1436906753000},"page":"4089-4103","source":"Crossref","is-referenced-by-count":17,"title":["Segregation of face sensitive areas within the fusiform gyrus using global signal regression? 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