Evidence map›Paper›PMID 35766240›Full record

ArticleHuman brain mapping2022

Magnetoencephalography can reveal deep brain network activities linked to memory processes.

Víctor J López-Madrona, Samuel Medina Villalon, Jean-Michel Badier, Agnès Trébuchon, Velmurugan Jayabal, Fabrice Bartolomei, Romain Carron, Andrei Barborica, Serge Vulliémoz, F-Xavier Alario and 1 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

16 citing papers in PubMed, 25 citations in OpenAlex.

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  14. Age-related changes of deep-brain neurophysiological activity.Cerebral cortex (New York, N.Y. : 1991) · 2023
    Article
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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

11 authors at 5 institutions in 4 countries.

Víctor J López-MadronaAix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France.ORCID 0000-0001-8234-7160
Samuel Medina VillalonAix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France.
Jean-Michel BadierAix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France.
Agnès TrébuchonAPHM, Timone Hospital, Epileptology and Cerebral Rhythmology, Marseille, France.
Velmurugan JayabalAix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France.
Fabrice BartolomeiAix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France.
Romain CarronAix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France.
Andrei BarboricaPhysics Department, University of Bucharest, Bucharest, Romania.ORCID 0000-0001-6783-3769
Serge VulliémozEEG and Epilepsy Unit, University Hospitals and Faculty of Medicine Geneva, Geneva, Switzerland.
F-Xavier AlarioAix-Marseille Université, CNRS, LPC, Marseille, France.
Christian G BénarAix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France.ORCID 0000-0002-3339-1306
Inserm · FRCentre National de la Recherche Scientifique · FRHôpital de la Timone · FRUniversity of Bucharest · ROUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recording from deep neural structures such as hippocampus noninvasively and yet with high temporal resolution remains a major challenge for human neuroscience. Although it has been proposed that deep neuronal activity might be recordable during cognitive tasks using magnetoencephalography (MEG), this remains to be demonstrated as the contribution of deep structures to MEG recordings may be too small to be detected or might be eclipsed by the activity of large-scale neocortical networks. In the present study, we disentangled mesial activity and large-scale networks from the MEG signals thanks to blind source separation (BSS). We then validated the MEG BSS components using intracerebral EEG signals recorded simultaneously in patients during their presurgical evaluation of epilepsy. In the MEG signals obtained during a memory task involving the recognition of old and new images, we identified with BSS a putative mesial component, which was present in all patients and all control subjects. The time course of the component selectively correlated with stereo-electroencephalography signals recorded from hippocampus and rhinal cortex, thus confirming its mesial origin. This finding complements previous studies with epileptic activity and opens new possibilities for using MEG to study deep brain structures in cognition and in brain disorders.

Indexed as

EpilepsyMagnetoencephalographyBrainBrain MappingElectroencephalographyHumanshippocampusindependent component analysisMEGmemorySEEGsimultaneous recordingssource localization

Identifiers

PMID35766240
PMCPMC9491290
OpenAlexW4283696649

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.