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Mapping the Scene and Object Processing Networks by Intracranial EEG.

Kamil Vlcek1, Iveta Fajnerova1,2, Tereza Nekovarova1,2

  • 1Department of Neurophysiology of Memory, Institute of Physiology, Czech Academy of Sciences, Prague, Czechia.

Frontiers in Human Neuroscience
|November 16, 2020
PubMed
Summary

This study used intracranial electroencephalography (iEEG) to map brain areas processing scenes and objects. Researchers discovered new scene-selective regions, expanding our understanding of visual processing networks.

Keywords:
high-frequency gamma activityhuman brainlateral occipital complexobjectsparahippocampal place areascenesstereoencephalographyvisual processing

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Visual Perception

Background:

  • Human cognition relies heavily on visual processing.
  • Functional imaging has identified brain areas for object and scene recognition.
  • Intracranial electroencephalography (iEEG) offers high temporal and anatomical resolution for neuronal activity.

Purpose of the Study:

  • To investigate brain activity for scene and object selectivity using iEEG in the high-gamma frequency range.
  • To identify and localize brain regions involved in visual processing of scenes and objects.
  • To expand the known network of visual processing areas beyond those identified by prior functional imaging studies.

Main Methods:

  • Collected iEEG data from 27 epileptic patients viewing object and scene images.
  • Analyzed brain activity in the 50-150 Hz high-gamma frequency range.
  • Utilized K-means clustering for brain localization and receiver operating characteristic analysis for selectivity.

Main Results:

  • Identified 375 responsive channels, confirming known areas (PPA, LOC) and discovering new scene-selective regions (OPA, retrosplenial complex).
  • Revealed a broader network for visual processing, including posterior collateral sulcus and anterior temporal regions for scenes, and parietal, frontal, and temporal regions for objects.
  • Temporal analysis delineated category selectivity across dorsal and ventral visual streams.

Conclusions:

  • iEEG provides valuable insights into the selectivity of visual processing for scenes and objects.
  • The study expands the understanding of the neural networks underlying visual perception.
  • New scene-selective areas and a more comprehensive object-processing network were identified.