Evidence map›Paper›PMID 27803816›Full record

ArticleNeural plasticity2016

EEG Source Imaging Guided by Spatiotemporal Specific fMRI: Toward an Understanding of Dynamic Cognitive Processes.

Thinh Nguyen, Thomas Potter, Trac Nguyen, Christof Karmonik, Robert Grossman, Yingchun Zhang

Abstract read
In one paragraph

Article in Neural plasticity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Functional Brain Controllability Alterations in Stroke.Frontiers in bioengineering and biotechnology · 2022
    Article
  4. Article
  5. Article
  6. Effects of Mental Fatigue onNeural plasticity · 2019
    Article
  7. Article
  8. Article
  9. 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

6 authors.

Thinh NguyenDepartment of Biomedical Engineering, Cullen College of Engineering, University of Houston, Houston, TX 77204, USA.ORCID 0000-0001-5964-5872
Thomas PotterDepartment of Biomedical Engineering, Cullen College of Engineering, University of Houston, Houston, TX 77204, USA.ORCID 0000-0001-7884-4172
Trac NguyenDepartment of Biomedical Engineering, Cullen College of Engineering, University of Houston, Houston, TX 77204, USA.
Christof KarmonikMRI Core, Houston Methodist Research Institute, Houston, TX 77030, USA.
Robert GrossmanDepartment of Neurosurgery, Houston Methodist Hospital and Research Institute, Houston, TX 77030, USA.ORCID 0000-0001-7006-7612
Yingchun ZhangDepartment of Biomedical Engineering, Cullen College of Engineering, University of Houston, Houston, TX 77204, USA; Guangdong Provincial Work Injury Rehabilitation Center, Guangzhou 510000, China.ORCID 0000-0002-1927-4103

Funding

Electromechanical Modeling Approach in Assessing Female SUIR00DK082644 · NIDDK · UNIVERSITY OF HOUSTON · PI ZHANG, YINGCHUN · 2013 to 2015
$690k
Electromechanical Modeling Approach in Assessing Female SUIK99DK082644 · NIDDK · UNIVERSITY OF MINNESOTA · PI ZHANG, YINGCHUN · 2010 to 2011
$180k
NIDDK NIH HHS K99 DK082644NIDDK NIH HHS R00 DK082644
6 · The paper itself

Abstract

Understanding the mechanism of neuroplasticity is the first step in treating neuromuscular system impairments with cognitive rehabilitation approaches. To characterize the dynamics of the neural networks and the underlying neuroplasticity of the central motor system, neuroimaging tools with high spatial and temporal accuracy are desirable. EEG and fMRI stand among the most popular noninvasive neuroimaging modalities with complementary features, yet achieving both high spatial and temporal accuracy remains a challenge. A novel multimodal EEG/fMRI integration method was developed in this study to achieve high spatiotemporal accuracy by employing the most probable fMRI spatial subsets to guide EEG source localization in a time-variant fashion. In comparison with the traditional fMRI constrained EEG source imaging method in a visual/motor activation task study, the proposed method demonstrated superior localization accuracy with lower variation and identified neural activity patterns that agreed well with previous studies. This spatiotemporal fMRI constrained source imaging method was then implemented in a "sequential multievent-related potential" paradigm where motor activation is evoked by emotion-related visual stimuli. Results demonstrate that the proposed method can be used as a powerful neuroimaging tool to unveil the dynamics and neural networks associated with the central motor system, providing insights into neuroplasticity modulation mechanism.

Indexed as

ComprehensionAdultCerebral CortexCognitionElectroencephalographyHumansMagnetic Resonance ImagingMalePhotic StimulationPsychomotor PerformanceTime FactorsYoung Adult

Identifiers

PMID27803816
PMCPMC5075629

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.