Evidence map›Paper›PMID 25088693›Full record

ReviewJournal of neuroscience methods2015

How to use fMRI functional localizers to improve EEG/MEG source estimation.

Benoit R Cottereau, Justin M Ales, Anthony M Norcia

Abstract readReview
In one paragraph

Review in Journal of neuroscience methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  14. Contrast Normalization Accounts for Binocular Interactions in Human Striate and Extra-striate Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
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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

3 authors.

Benoit R CottereauUniversité de Toulouse, Centre de Recherche Cerveau et Cognition, UPS, France; CNRS UMR 5549, CerCo, Toulouse, France. Electronic address: cottereau@cerco.ups-tlse.fr.
Justin M AlesSchool of Psychology and Neuroscience, University of St Andrews, St Mary's Quad, South Street, St Andrews KY16 9JP, UK.
Anthony M NorciaDepartment of Psychology, Stanford University, Stanford, CA, United States.

Funding

Disparity processing in visual cortexR01EY018875 · NEI · STANFORD UNIVERSITY · PI NORCIA, ANTHONY M · 2008 to 2021
$4.6M
Form and Motion IntegrationR01EY015790 · NEI · STANFORD UNIVERSITY · PI NORCIA, ANTHONY M · 2004 to 2014
$3.7M
Form and Motion IntegrationR56EY015790 · NEI · SMITH-KETTLEWELL EYE RESEARCH INSTITUTE · PI NORCIA, ANTHONY M · 2008 to 2008
$443k
NEI NIH HHS R01 EY 015790NEI NIH HHS R01 EY015790NEI NIH HHS R01 EY018875NEI NIH HHS R56 EY015790
6 · The paper itself

Abstract

EEG and MEG have excellent temporal resolution, but the estimation of the neural sources that generate the signals recorded by the sensors is a difficult, ill-posed problem. The high spatial resolution of functional MRI makes it an ideal tool to improve the localization of the EEG/MEG sources using data fusion. However, the combination of the two techniques remains challenging, as the neural generators of the EEG/MEG and BOLD signals might in some cases be very different. Here we describe a data fusion approach that was developed by our team over the last decade in which fMRI is used to provide source constraints that are based on functional areas defined individually for each subject. This mini-review describes the different steps that are necessary to perform source estimation using this approach. It also provides a list of pitfalls that should be avoided when doing fMRI-informed EEG/MEG source imaging. Finally, it describes the advantages of using a ROI-based approach for group-level analysis and for the study of sensory systems.

Indexed as

BrainBrain MappingElectroencephalographyHumansMagnetic Resonance ImagingMagnetoencephalographyMultimodal ImagingData fusionEEGfMRIMEGSource imaging

Identifiers

PMID25088693
PMCPMC4383720

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.