Evidence map›Paper›PMID 40800769›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

Intracranial EEG referencing for large-scale category-selective mapping in the human ventral occipito-temporal cortex.

Simen Hagen, Corentin Jacques, Radu Ranta, Laurent Koessler, Louis Maillard, Sophie Colnat-Coulbois, Bruno Rossion, Jacques Jonas

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Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Simen HagenUniversité de Lorraine, CNRS, IMoPA, Nancy, France.
Corentin JacquesUniversité de Lorraine, CNRS, IMoPA, Nancy, France.
Radu RantaUniversité de Lorraine, CNRS, CRAN, Nancy, France.
Laurent KoesslerUniversité de Lorraine, CNRS, IMoPA, Nancy, France.
Louis MaillardUniversité de Lorraine, CNRS, IMoPA, Nancy, France.
Sophie Colnat-CoulboisUniversité de Lorraine, CNRS, IMoPA, Nancy, France.
Bruno RossionUniversité de Lorraine, CNRS, IMoPA, Nancy, France.ORCID https://orcid.org/0000-0002-1845-3935
Jacques JonasUniversité de Lorraine, CNRS, IMoPA, Nancy, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intracranial EEG (iEEG) is increasingly used in many fields of human cognitive neuroscience since it offers a unique opportunity to directly record brain activity from awake humans at a high spatial and temporal resolution. However, little is known about the influence of the reference montage on the spatial and temporal characteristics of iEEG activity. Here, we compare the spatial and temporal profiles of neural activity for five reference montages (scalp reference, common average, zero reference, local Bipolar, and Laplacian) applied to a large dataset of depth electrodes (StereoElectroEncephaloGraphy, SEEG) recordings across the human ventral occipito-temporal cortex (VOTC, N individual brains = 77). Frequency-tagging is used for objective identification and quantification of both low- (<30 Hz) and high-frequency (40-160 Hz) face-selective neural activity. For low-frequency responses, similar spatial distributions and time-courses of significant face-selective contacts and of face-selective amplitudes are found across the five reference montages, although the latter two local reference montages enhance face selectivity along the fusiform gyrus until the anterior temporal lobe. However, they also reduce the right hemisphere dominance, a hallmark of face-selective neural activity, and increase the number of significant contacts in the white matter. For high-frequency responses, similar spatial distributions and time-courses of significant face-selective contacts and of face-selective amplitudes are found for all references, except for the scalp reference (SCA), which enhances face selectivity in lateral and medial regions of the anterior VOTC. However, SCA also increases the number of significant contacts in the white matter. Thus, specificities of each electrode montage should be considered before choosing an iEEG reference, according to the research question, the anatomical region, the type of analyses, and the responses frequency range.

Indexed as

frequency-tagginghuman face recognitioniEEGreference montage

Identifiers

PMID40800769
PMCPMC12319787

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.