Cortical networks of dynamic scene category representation in the human brain

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buir.contributor.authorKeleş, Ümit
buir.contributor.authorKiremitçi, İbrahim
buir.contributor.authorÇukur, Tolga
buir.contributor.authorÇelik, Emin
buir.contributor.orcidÇukur, Tolga|0000-0002-2296-851X
dc.citation.epage147en_US
dc.citation.spage127en_US
dc.citation.volumeNumber143en_US
dc.contributor.authorKeleş, Ümit
dc.contributor.authorKiremitçi, İbrahim
dc.contributor.authorGallant, J. L.
dc.contributor.authorÇukur, Tolga
dc.contributor.authorÇelik, Emin
dc.date.accessioned2022-02-24T13:48:57Z
dc.date.available2022-02-24T13:48:57Z
dc.date.issued2021-07-24
dc.departmentAysel Sabuncu Brain Research Center (BAM)en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.departmentNational Magnetic Resonance Research Center (UMRAM)en_US
dc.description.abstractHumans have an impressive ability to rapidly process global information in natural scenes to infer their category. Yet, it remains unclear whether and how scene categories observed dynamically in the natural world are represented in cerebral cortex beyond few canonical scene-selective areas. To address this question, here we examined the representation of dynamic visual scenes by recording whole-brain blood oxygenation level-dependent (BOLD) responses while subjects viewed natural movies. We fit voxelwise encoding models to estimate tuning for scene categories that reflect statistical ensembles of objects and actions in the natural world. We find that this scene-category model explains a significant portion of the response variance broadly across cerebral cortex. Cluster analysis of scene-category tuning profiles across cortex reveals nine spatially-segregated networks of brain regions consistently across subjects. These networks show heterogeneous tuning for a diverse set of dynamic scene categories related to navigation, human activity, social interaction, civilization, natural environment, non-human animals, motion-energy, and texture, suggesting that the organization of scene category representation is quite complex.en_US
dc.description.provenanceSubmitted by Esma Aytürk (esma.babayigit@bilkent.edu.tr) on 2022-02-24T13:48:57Z No. of bitstreams: 1 Cortical_networks_of_dynamic_scene_category_representation_in_the_human_brain.pdf: 4225716 bytes, checksum: 70dfe2d68b5dede53a14abedaa3b3eab (MD5)en
dc.description.provenanceMade available in DSpace on 2022-02-24T13:48:57Z (GMT). No. of bitstreams: 1 Cortical_networks_of_dynamic_scene_category_representation_in_the_human_brain.pdf: 4225716 bytes, checksum: 70dfe2d68b5dede53a14abedaa3b3eab (MD5) Previous issue date: 2021-07-24en
dc.embargo.release2022-07-24
dc.identifier.doi10.1016/j.cortex.2021.07.008en_US
dc.identifier.eissn1973-8102
dc.identifier.issn0010-9452
dc.identifier.urihttp://hdl.handle.net/11693/77610
dc.language.isoEnglishen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttps://doi.org/10.1016/j.cortex.2021.07.008en_US
dc.source.titleCortexen_US
dc.subjectfMRIen_US
dc.subjectDynamic scene category representationen_US
dc.subjectVoxelwise encoding modelen_US
dc.subjectCluster analysisen_US
dc.titleCortical networks of dynamic scene category representation in the human brainen_US
dc.typeArticleen_US

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