Slow-theta power decreases during item-place encoding predict spatial accuracy of subsequent context recall

dc.contributor.authorCrespo-García, Maité
dc.contributor.authorZeiller, Monika
dc.contributor.authorLeupold, Claudia
dc.contributor.authorKreiselmeyer, Gernot
dc.contributor.authorRampp, Stefan
dc.contributor.authorHamer, Hajo M.
dc.contributor.authorDalal, Sarang S.
dc.date.accessioned2016-08-12T06:26:32Z
dc.date.available2016-08-12T06:26:32Z
dc.date.issued2016-08eng
dc.description.abstractHuman hippocampal theta oscillations play a key role in accurate spatial coding. Associative encoding involves similar hippocampal networks but, paradoxically, is also characterized by theta power decreases. Here, we investigated how theta activity relates to associative encoding of place contexts resulting in accurate navigation. Using MEG, we found that slow-theta (2–5 Hz) power negatively correlated with subsequent spatial accuracy for virtual contextual locations in posterior hippocampus and other cortical structures involved in spatial cognition. A rare opportunity to simultaneously record MEG and intracranial EEG in an epilepsy patient provided crucial insights: during power decreases, slow-theta in right anterior hippocampus and left inferior frontal gyrus phase-led the left temporal cortex and predicted spatial accuracy. Our findings indicate that decreased slow-theta activity reflects local and long-range neural mechanisms that encode accurate spatial contexts, and strengthens the view that local suppression of low-frequency activity is essential for more efficient processing of detailed information.
dc.description.versionacceptedde
dc.identifier.doi10.1016/j.neuroimage.2016.08.021eng
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/35013.1
dc.language.isoengeng
dc.subjectHippocampus; Spatial navigation; Meg; Intracranial EEG; Source localization
dc.subject.ddc150
dc.titleSlow-theta power decreases during item-place encoding predict spatial accuracy of subsequent context recalleng
dc.typeJOURNAL_ARTICLEde
dspace.entity.typePublication
kops.flag.knbibliographytrue
kops.flag.quicksubmissiontruede
source.identifier.eissn1095-9572
source.identifier.issn1053-8119eng
source.periodicalTitleNeuroImageeng
temp.submission.doihttps://doi.org/10.1016/j.neuroimage.2016.08.021
temp.submission.source

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