Low and high frequency intracranial neural signals match in the human associative cortex.
SEEG
broadband gamma
frequency-tagging
human
human face recognition
neuroscience
ventral occipito-temporal cortex
Journal
eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614
Informations de publication
Date de publication:
08 09 2022
08 09 2022
Historique:
received:
20
12
2021
accepted:
18
08
2022
entrez:
8
9
2022
pubmed:
9
9
2022
medline:
14
9
2022
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 36074548
doi: 10.7554/eLife.76544
pii: 76544
pmc: PMC9457683
doi:
pii:
Banques de données
Dryad
['10.5061/dryad.66t1g1k51']
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2022, Jacques, Jonas et al.
Déclaration de conflit d'intérêts
CJ, JJ, SC, LM, BR No competing interests declared
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