Evidence map›Paper›PMID 32115870›Full record

ArticleHuman brain mapping2020

Detectability of cerebellar activity with magnetoencephalography and electroencephalography.

John G Samuelsson, Padmavathi Sundaram, Sheraz Khan, Martin I Sereno, Matti S Hämäläinen

Abstract read
In one paragraph

Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Review
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  20. Small but Mighty: Ten Myths and Misunderstandings About the Cerebellum.Neurobiology of language (Cambridge, Mass.) · 2024
    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

5 authors.

John G SamuelssonHarvard-MIT Division of Health Sciences and Technology (HST), Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USA.ORCID 0000-0002-6996-1251
Padmavathi SundaramAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Sheraz KhanAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Martin I SerenoDepartment of Psychology and Neuroimaging Center, San Diego State University, San Diego, California, USA.
Matti S HämäläinenAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.

Funding

Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
Device-Independent Acquisition and Real Time Spatiotemporal Analysis of Clinical Electrophysiology DataU01EB023820 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI MOSHER, JOHN COMPTON, OKADA, YOSHIO · 2017 to 2021
$5.8M
Scalable Software for Distributed Processing and Visualization of Multi-Site MEG/EEG DatasetsR01NS104585 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI MATTI HAMALAINEN · 2018 to 2026
$4.3M
Neuroimaging Training ProgramT32EB001680 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BRUCE R ROSEN · 2003 to 2026
$3.8M
Cognitive functions of multisensory cortical mapsR01MH081990 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SERENO, MARTIN IRENAEUS · 2009 to 2013
$1.8M
NIBIB NIH HHS P41 EB015896NIBIB NIH HHS T32 EB001680NIBIB NIH HHS U01 EB023820NIMH NIH HHS R01 MH081990NINDS NIH HHS R01 NS104585
6 · The paper itself

Abstract

Electrophysiological signals from the cerebellum have traditionally been viewed as inaccessible to magnetoencephalography (MEG) and electroencephalography (EEG). Here, we challenge this position by investigating the ability of MEG and EEG to detect cerebellar activity using a model that employs a high-resolution tessellation of the cerebellar cortex. The tessellation was constructed from repetitive high-field (9.4T) structural magnetic resonance imaging (MRI) of an ex vivo human cerebellum. A boundary-element forward model was then used to simulate the M/EEG signals resulting from neural activity in the cerebellar cortex. Despite significant signal cancelation due to the highly convoluted cerebellar cortex, we found that the cerebellar signal was on average only 30-60% weaker than the cortical signal. We also made detailed M/EEG sensitivity maps and found that MEG and EEG have highly complementary sensitivity distributions over the cerebellar cortex. Based on previous fMRI studies combined with our M/EEG sensitivity maps, we discuss experimental paradigms that are likely to offer high M/EEG sensitivity to cerebellar activity. Taken together, these results show that cerebellar activity should be clearly detectable by current M/EEG systems with an appropriate experimental setup.

Indexed as

Models, TheoreticalCerebellar CortexComputer SimulationElectroencephalographyHumansMagnetic Resonance ImagingMagnetoencephalographyTranscranial Magnetic StimulationcerebellumEEGforward modelingMEGMonte Carlo simulationssignal cancellation

Identifiers

PMID32115870
PMCPMC7244390

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.