Evidence map›Paper›PMID 22068921›Full record

ArticleNeuroinformatics2012

MEG-SIM: a web portal for testing MEG analysis methods using realistic simulated and empirical data.

C J Aine, L Sanfratello, D Ranken, E Best, J A MacArthur, T Wallace, K Gilliam, C H Donahue, R Montaño, J E Bryant and 2 more

Abstract read
In one paragraph

Article in Neuroinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 34 citations in OpenAlex.

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  12. MEG and EEG data analysis with MNE-Python.Frontiers in neuroscience · 2013
    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

12 authors at 3 institutions in 1 country.

C J AineDepartment of Radiology, MSC10 5530, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA. aine@unm.edu
L Sanfratello
D Ranken
E Best
J A MacArthur
T Wallace
K Gilliam
C H Donahue
R Montaño
J E Bryant
A Scott
J M Stephen
University of New Mexico · USMind Research Network · USLos Alamos National Laboratory · US

Funding

Multivariate methods for identifying multitask/multimodal brain imaging biomarkersR01EB006841 · NIBIB · THE MIND RESEARCH NETWORK · PI VINCE D CALHOUN, Sergey Plis · 2007 to 2026
$9.8M
NEURAL MECHANISMS OF SCHIZOPHRENIAP20RR021938 · NCRR · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2008 to 2011
$9.4M
Unified multivariate data-driven solutions for static and dynamic brain connectivityR01EB020407 · NIBIB · THE MIND RESEARCH NETWORK · PI ADALI, TULAY, CALHOUN, VINCE D · 2015 to 2018
$2.7M
Imaging the Development of Memory Strategies in AgingR01AG029495 · NIA · UNIVERSITY OF NEW MEXICO · PI AINE, CHERYL J · 2008 to 2012
$2.2M
Realistic Simulations and Empirical Data: MEG Reconstructions of TimeR21MH080141 · NIMH · UNIVERSITY OF NEW MEXICO · PI AINE, CHERYL J · 2008 to 2009
$371k
NCRR NIH HHS 1P20 RR021938-03NCRR NIH HHS P20 RR021938NIA NIH HHS R01 AG029495NIA NIH HHS R01AG029495-03NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB020407NIMH NIH HHS R21 MH080141NIMH NIH HHS R21MH080141-02
6 · The paper itself

Abstract

MEG and EEG measure electrophysiological activity in the brain with exquisite temporal resolution. Because of this unique strength relative to noninvasive hemodynamic-based measures (fMRI, PET), the complementary nature of hemodynamic and electrophysiological techniques is becoming more widely recognized (e.g., Human Connectome Project). However, the available analysis methods for solving the inverse problem for MEG and EEG have not been compared and standardized to the extent that they have for fMRI/PET. A number of factors, including the non-uniqueness of the solution to the inverse problem for MEG/EEG, have led to multiple analysis techniques which have not been tested on consistent datasets, making direct comparisons of techniques challenging (or impossible). Since each of the methods is known to have their own set of strengths and weaknesses, it would be beneficial to quantify them. Toward this end, we are announcing the establishment of a website containing an extensive series of realistic simulated data for testing purposes ( http://cobre.mrn.org/megsim/ ). Here, we present: 1) a brief overview of the basic types of inverse procedures; 2) the rationale and description of the testbed created; and 3) cases emphasizing functional connectivity (e.g., oscillatory activity) suitable for a wide assortment of analyses including independent component analysis (ICA), Granger Causality/Directed transfer function, and single-trial analysis.

Indexed as

Computer SimulationInternetAcoustic StimulationAlgorithmsAnimalsAuditory CortexBeta RhythmCalibrationCerebrovascular CirculationDatabases, FactualData Interpretation, StatisticalElectroencephalographyFunctional LateralityHaplorhiniHumansMagnetoencephalography

Identifiers

PMID22068921
PMCPMC3543124
OpenAlexW2170829875

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.