Mapping the Scene and Object Processing Networks by Intracranial EEG

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F20%3A00534418" target="_blank" >RIV/67985823:_____/20:00534418 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21230/20:00343065 RIV/00216208:11130/20:10417016 RIV/00064203:_____/20:10417016 RIV/00023752:_____/20:43920452

Result on the web

<a href="https://www.frontiersin.org/articles/10.3389/fnhum.2020.561399/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fnhum.2020.561399/full</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3389/fnhum.2020.561399" target="_blank" >10.3389/fnhum.2020.561399</a>

Result language

angličtina

Original language name

Mapping the Scene and Object Processing Networks by Intracranial EEG

Original language description

Human perception and cognition are based predominantly on visual information processing. Much of the information regarding neuronal correlates of visual processing has been derived from functional imaging studies, which have identified a variety of brain areas contributing to visual analysis, recognition, and processing of objects and scenes. However, only two of these areas, namely the parahippocampal place area (PPA) and the lateral occipital complex (LOC), were verified and further characterized by intracranial electroencephalogram (iEEG). iEEG is a unique measurement technique that samples a local neuronal population with high temporal and anatomical resolution. In the present study, we aimed to expand on previous reports and examine brain activity for selectivity of scenes and objects in the broadband high-gamma frequency range (50-150 Hz). We collected iEEG data from 27 epileptic patients while they watched a series of images, containing objects and scenes, and we identified 375 bipolar channels responding to at least one of these two categories. Using K-means clustering, we delineated their brain localization. In addition to the two areas described previously, we detected significant responses in two other scene-selective areas, not yet reported by any electrophysiological studies, namely the occipital place area (OPA) and the retrosplenial complex. Moreover, using iEEG we revealed a much broader network underlying visual processing than that described to date, using specialized functional imaging experimental designs. Here, we report the selective brain areas for scene processing include the posterior collateral sulcus and the anterior temporal region, which were already shown to be related to scene novelty and landmark naming. The object-selective responses appeared in the parietal, frontal, and temporal regions connected with tool use and object recognition. The temporal analyses specified the time course of the category selectivity through the dorsal and ventral visual streams. The receiver operating characteristic analyses identified the PPA and the fusiform portion of the LOC as being the most selective for scenes and objects, respectively. Our findings represent a valuable overview of visual processing selectivity for scenes and objects based on iEEG analyses and thus, contribute to a better understanding of visual processing in the human brain.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30103 - Neurosciences (including psychophysiology)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Frontiers in Human Neuroscience

ISSN

1662-5161

e-ISSN

—

Volume of the periodical

14

Issue of the periodical within the volume

Oct 9

Country of publishing house

CH - SWITZERLAND

Number of pages

21

Pages from-to

561399

UT code for WoS article

000581054900001

EID of the result in the Scopus database

2-s2.0-85094115102