Evidence map›Paper›PMID 38520365›Full record

ArticleHuman brain mapping2024

Connectome spectrum electromagnetic tomography: A method to reconstruct electrical brain source networks at high-spatial resolution.

Joan Rué-Queralt, Hugo Fluhr, Sebastien Tourbier, Yasser Aleman-Gómez, David Pascucci, Jérôme Yerly, Katharina Glomb, Gijs Plomp, Patric Hagmann

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Human brain mapping, 2024. 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

9 authors.

Joan Rué-QueraltDepartment of Radiology, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland.ORCID 0000-0002-9595-4557
Hugo FluhrDepartment of Radiology, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland.
Sebastien TourbierDepartment of Radiology, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland.
Yasser Aleman-GómezDepartment of Radiology, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland.ORCID 0000-0001-6067-8639
David PascucciSignal Processing Lab 2, EPFL, Lausanne, Switzerland.
Jérôme YerlyDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland.
Katharina GlombDepartment of Neurology, Charité University Medicine Berlin and Berlin Institute of Health, Berlin, Germany.
Gijs PlompDepartment of Psychology, University of Fribourg, Fribourg, Switzerland.
Patric HagmannDepartment of Radiology, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland.

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung Sinergia Grant 170873Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung Sinergia Grant 179988Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung Sinergia Grant 183714
6 · The paper itself

Abstract

Connectome spectrum electromagnetic tomography (CSET) combines diffusion MRI-derived structural connectivity data with well-established graph signal processing tools to solve the M/EEG inverse problem. Using simulated EEG signals from fMRI responses, and two EEG datasets on visual-evoked potentials, we provide evidence supporting that (i) CSET captures realistic neurophysiological patterns with better accuracy than state-of-the-art methods, (ii) CSET can reconstruct brain responses more accurately and with more robustness to intrinsic noise in the EEG signal. These results demonstrate that CSET offers high spatio-temporal accuracy, enabling neuroscientists to extend their research beyond the current limitations of low sampling frequency in functional MRI and the poor spatial resolution of M/EEG.

Indexed as

ConnectomeBrainElectroencephalographyElectromagnetic PhenomenaHumansMagnetic Resonance ImagingBayesian optimizationcompressed sensingconnectomeelectrical source imaginggraph Fourier transformtractography

Identifiers

PMID38520365
PMCPMC10960556

What OpenQuestion holds

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Registered trials

None linked

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.