Dataset of human intracranial recordings during famous landmark identification

Kiefer J Forseth,Matthew J Rollo,Christopher R Conner,Patrick S Rollo,Nitin Tandon,Oscar Woolnough,Cihan M Kadipasaoglu,Vatche G Baboyan

doi:10.1038/s41597-022-01125-8

Abstract

For most people, recalling information about familiar items in a visual scene is an effortless 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 identified images of famous landmarks (50 individuals, 52 recording sessions, 6,775 electrodes, 6,541 trials). This dataset contains local field 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.

Highlights

Background & SummaryAnalysing and identifying previously encountered scenes and landmarks requires an interplay of activity between visual and memory regions of the brain
Category selective scene processing pathways exist across higher visual cortex[1,2,3] and specialised, distributed memory networks exist for recall of scene and location specific information[4,5,6,7,8]
Information about the temporal progression of feature sensitivity is required to disentangle these properties within visual processing networks and refine existing models of scene processing

Summary

Introduction

Background & SummaryAnalysing and identifying previously encountered scenes and landmarks requires an interplay of activity between visual and memory regions of the brain. We used a famous landmark identification task to probe multiple aspects of scene processing pathways; including visual processing of the scene stimuli, memory recall of the specific item and articulation of the response. These data were collected in a large population of patients (52 datasets) with a large number of electrodes implanted across both hemispheres (n = 6,775) allowing broad coverage across multiple cortical regions.

Results

Conclusion