文章基本信息

标题：Dataset of human intracranial recordings during famous landmark identification
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作者：Oscar Woolnough ; Cihan M .Kadipasaoglu ; Christopher R .Conner 等
期刊名称：Scientific Data
电子版ISSN：2052-4463
出版年度：2022
卷号：9
期号：1
页码：1-7
DOI：10.1038/s41597-022-01125-8
语种：English
出版社：Nature Publishing Group
摘要：For most people, recalling information about familiar items in a visual scene is an efortless task, but it is one that depends on coordinated interactions of multiple, distributed neural components . We leveraged the high spatiotemporal resolution of direct intracranial recordings to better delineate the network dynamics underpinning visual scene recognition . We present a dataset of recordings from a large cohort of humans while they identifed images of famous landmarks (50 individuals, 52 recording sessions, 6,775 electrodes, 6,541 trials) . This dataset contains local feld potential recordings derived from subdural and penetrating electrodes covering broad areas of cortex across both hemispheres . We provide this pre-processed data with behavioural metrics (correct/incorrect, response times) and electrode localisation in a population-normalised cortical surface space . This rich dataset will allow further investigation into the spatiotemporal progression of multiple neural processes underlying visual processing, scene recognition and cued memory recall .