Home > Publications Database > Repetition Suppression Reveals Cue-specific Spatial Representations for Landmarks and Self-motion Cues in Human Retrosplenial Cortex. > print

001     268847
005     20240808164536.0
024 7 _ |a pmc:PMC11007318
|2 pmc
024 7 _ |a 10.1523/ENEURO.0294-23.2024
|2 doi
024 7 _ |a pmid:38519127
|2 pmid
024 7 _ |a altmetric:161108216
|2 altmetric
037 _ _ |a DZNE-2024-00351
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Chen, Xiaoli
|b 0
245 _ _ |a Repetition Suppression Reveals Cue-specific Spatial Representations for Landmarks and Self-motion Cues in Human Retrosplenial Cortex.
260 _ _ |a Washington, DC
|c 2024
|b Soc.
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1713174366_9660
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a The efficient use of various spatial cues within a setting is crucial for successful navigation. Two fundamental forms of spatial navigation, landmark-based and self-motion-based, engage distinct cognitive mechanisms. The question of whether these modes invoke shared or separate spatial representations in the brain remains unresolved. While nonhuman animal studies have yielded inconsistent results, human investigation is limited. In our previous work (Chen et al., 2019), we introduced a novel spatial navigation paradigm utilizing ultra-high field fMRI to explore neural coding of positional information. We found that different entorhinal subregions in the right hemisphere encode positional information for landmarks and self-motion cues. The present study tested the generalizability of our previous finding with a modified navigation paradigm. Although we did not replicate our previous finding in the entorhinal cortex, we identified adaptation-based allocentric positional codes for both cue types in the retrosplenial cortex (RSC), which were not confounded by the path to the spatial location. Crucially, the multi-voxel patterns of these spatial codes differed between the cue types, suggesting cue-specific positional coding. The parahippocampal cortex exhibited positional coding for self-motion cues, which was not dissociable from path length. Finally, the brain regions involved in successful navigation differed from our previous study, indicating overall distinct neural mechanisms recruited in our two studies. Taken together, the current findings demonstrate cue-specific allocentric positional coding in the human RSC in the same navigation task for the first time and that spatial representations in the brain are contingent on specific experimental conditions.
536 _ _ |a 353 - Clinical and Health Care Research (POF4-353)
|0 G:(DE-HGF)POF4-353
|c POF4-353
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: pub.dzne.de
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Animals
|2 MeSH
650 _ 2 |a Cues
|2 MeSH
650 _ 2 |a Gyrus Cinguli
|2 MeSH
650 _ 2 |a Entorhinal Cortex
|2 MeSH
650 _ 2 |a Brain
|2 MeSH
650 _ 2 |a Spatial Navigation
|2 MeSH
650 _ 2 |a Space Perception
|2 MeSH
650 _ 7 |a adaptation
|2 Other
650 _ 7 |a entorhinal cortex
|2 Other
650 _ 7 |a landmark
|2 Other
650 _ 7 |a path integration
|2 Other
650 _ 7 |a retrosplenial cortex
|2 Other
650 _ 7 |a spatial navigation
|2 Other
700 1 _ |a Wei, Ziwei
|b 1
700 1 _ |a Wolbers, Thomas
|0 P:(DE-2719)2810583
|b 2
|e Last author
|u dzne
773 _ _ |a 10.1523/ENEURO.0294-23.2024
|g p. ENEURO.0294-23.2024 -
|0 PERI:(DE-600)2800598-3
|n 4
|p ENEURO.0294-23.2024
|t eNeuro
|v 11
|y 2024
|x 2373-2822
856 4 _ |y OpenAccess
|u https://pub.dzne.de/record/268847/files/DZNE-2024-00351.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://pub.dzne.de/record/268847/files/DZNE-2024-00351.pdf?subformat=pdfa
909 C O |o oai:pub.dzne.de:268847
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 2
|6 P:(DE-2719)2810583
913 1 _ |a DE-HGF
|b Gesundheit
|l Neurodegenerative Diseases
|1 G:(DE-HGF)POF4-350
|0 G:(DE-HGF)POF4-353
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Clinical and Health Care Research
|x 0
914 1 _ |y 2024
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b ENEURO : 2022
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2017-10-05T09:48:20Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2017-10-05T09:48:20Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Double anonymous peer review
|d 2017-10-05T09:48:20Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2023-10-26
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2023-10-26
920 1 _ |0 I:(DE-2719)1310002
|k AG Wolbers
|l Aging, Cognition and Technology
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-2719)1310002
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21