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Low and high frequency intracranial neural signals match in the human associative cortex

In vivo intracranial recordings of neural activity offer a unique opportunity to understand human brain function. Intracranial electrophysiological (iEEG) activity related to sensory, cognitive or motor events manifests mostly in two types of signals: event-related local field potentials in lower fr...

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Autores principales: Jacques, Corentin, Jonas, Jacques, Colnat-Coulbois, Sophie, Maillard, Louis, Rossion, Bruno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9457683/
https://www.ncbi.nlm.nih.gov/pubmed/36074548
http://dx.doi.org/10.7554/eLife.76544
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author Jacques, Corentin
Jonas, Jacques
Colnat-Coulbois, Sophie
Maillard, Louis
Rossion, Bruno
author_facet Jacques, Corentin
Jonas, Jacques
Colnat-Coulbois, Sophie
Maillard, Louis
Rossion, Bruno
author_sort Jacques, Corentin
collection PubMed
description In vivo intracranial recordings of neural activity offer a unique opportunity to understand human brain function. Intracranial electrophysiological (iEEG) activity related to sensory, cognitive or motor events manifests mostly in two types of signals: event-related local field potentials in lower frequency bands (<30 Hz, LF) and broadband activity in the higher end of the frequency spectrum (>30 Hz, High frequency, HF). While most current studies rely exclusively on HF, thought to be more focal and closely related to spiking activity, the relationship between HF and LF signals is unclear, especially in human associative cortex. Here, we provide a large-scale in-depth investigation of the spatial and functional relationship between these 2 signals based on intracranial recordings from 121 individual brains (8000 recording sites). We measure category-selective responses to complex ecologically salient visual stimuli – human faces – across a wide cortical territory in the ventral occipito-temporal cortex (VOTC), with a frequency-tagging method providing high signal-to-noise ratio (SNR) and the same objective quantification of signal and noise for the two frequency ranges. While LF face-selective activity has higher SNR across the VOTC, leading to a larger number of significant electrode contacts especially in the anterior temporal lobe, LF and HF display highly similar spatial, functional, and timing properties. Specifically, and contrary to a widespread assumption, our results point to nearly identical spatial distribution and local spatial extent of LF and HF activity at equal SNR. These observations go a long way towards clarifying the relationship between the two main iEEG signals and reestablish the informative value of LF iEEG to understand human brain function.
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spelling pubmed-94576832022-09-09 Low and high frequency intracranial neural signals match in the human associative cortex Jacques, Corentin Jonas, Jacques Colnat-Coulbois, Sophie Maillard, Louis Rossion, Bruno eLife Neuroscience In vivo intracranial recordings of neural activity offer a unique opportunity to understand human brain function. Intracranial electrophysiological (iEEG) activity related to sensory, cognitive or motor events manifests mostly in two types of signals: event-related local field potentials in lower frequency bands (<30 Hz, LF) and broadband activity in the higher end of the frequency spectrum (>30 Hz, High frequency, HF). While most current studies rely exclusively on HF, thought to be more focal and closely related to spiking activity, the relationship between HF and LF signals is unclear, especially in human associative cortex. Here, we provide a large-scale in-depth investigation of the spatial and functional relationship between these 2 signals based on intracranial recordings from 121 individual brains (8000 recording sites). We measure category-selective responses to complex ecologically salient visual stimuli – human faces – across a wide cortical territory in the ventral occipito-temporal cortex (VOTC), with a frequency-tagging method providing high signal-to-noise ratio (SNR) and the same objective quantification of signal and noise for the two frequency ranges. While LF face-selective activity has higher SNR across the VOTC, leading to a larger number of significant electrode contacts especially in the anterior temporal lobe, LF and HF display highly similar spatial, functional, and timing properties. Specifically, and contrary to a widespread assumption, our results point to nearly identical spatial distribution and local spatial extent of LF and HF activity at equal SNR. These observations go a long way towards clarifying the relationship between the two main iEEG signals and reestablish the informative value of LF iEEG to understand human brain function. eLife Sciences Publications, Ltd 2022-09-08 /pmc/articles/PMC9457683/ /pubmed/36074548 http://dx.doi.org/10.7554/eLife.76544 Text en © 2022, Jacques, Jonas et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
Jacques, Corentin
Jonas, Jacques
Colnat-Coulbois, Sophie
Maillard, Louis
Rossion, Bruno
Low and high frequency intracranial neural signals match in the human associative cortex
title Low and high frequency intracranial neural signals match in the human associative cortex
title_full Low and high frequency intracranial neural signals match in the human associative cortex
title_fullStr Low and high frequency intracranial neural signals match in the human associative cortex
title_full_unstemmed Low and high frequency intracranial neural signals match in the human associative cortex
title_short Low and high frequency intracranial neural signals match in the human associative cortex
title_sort low and high frequency intracranial neural signals match in the human associative cortex
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9457683/
https://www.ncbi.nlm.nih.gov/pubmed/36074548
http://dx.doi.org/10.7554/eLife.76544
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