Evidence map›Paper›PMID 34095643›Full record

ArticleCurrent opinion in biomedical engineering2021

Multimodal EEG-fMRI: advancing insight into large-scale human brain dynamics.

Catie Chang, Jingyuan E Chen

Abstract read
In one paragraph

Article in Current opinion in biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. 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

2 authors.

Catie ChangDepartment of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA.
Jingyuan E ChenAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.

Funding

Relating Vigilance to Connectivity and Neurocognition in Temporal Lobe EpilepsyR01NS112252 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ENGLOT, DARIO J · 2019 to 2023
$3.0M
Probing the Biophysical Basis of Large-Scale Brain Dynamics Using Simultaneous PET/fMRI and EEG/PET/fMRIR00NS118120 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CHEN, JINGYUAN · 2023 to 2025
$735k
Tracking brain arousal fluctuations for fMRI Big Data discoveryK22ES028048 · NIEHS · VANDERBILT UNIVERSITY · PI CHANG, CATHERINE ELIZABETH · 2018 to 2020
$606k
Probing the Biophysical Basis of Large-Scale Brain Dynamics Using Simultaneous PET/fMRI and EEG/PET/fMRIK99NS118120 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CHEN, JINGYUAN · 2020 to 2021
$262k
NIEHS NIH HHS K22 ES028048NINDS NIH HHS K99 NS118120NINDS NIH HHS R00 NS118120NINDS NIH HHS R01 NS112252
6 · The paper itself

Abstract

Advances in the acquisition and analysis of functional magnetic resonance imaging (fMRI) data are revealing increasingly rich spatiotemporal structure across the human brain. Nonetheless, uncertainty surrounding the origins of fMRI hemodynamic signals, and in the link between large-scale fMRI patterns and ongoing functional states, presently limits the neurobiological conclusions one can draw from fMRI alone. Electroencephalography (EEG) provides complementary information about neural electrical activity and state change, and simultaneously acquiring EEG together with fMRI presents unique opportunities for studying large-scale brain activity and gaining more information from fMRI itself. Here, we discuss recent progress in the use of concurrent EEG-fMRI to enrich the investigation of neural and physiological states and clarify the origins of fMRI hemodynamic signals. Throughout, we outline perspectives on future directions and open challenges.

Indexed as

brain networksEEG-fMRIfunctional neuroimaginghemodynamicsstate changes

Identifiers

PMID34095643
PMCPMC8174780

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.