Evidence map›Paper›PMID 33328870›Full record

ArticleFrontiers in neuroscience2020

Refinement of High-Gamma EEG Features From TBI Patients With Hemicraniectomy Using an ICA Informed by Simulated Myoelectric Artifacts.

Yongcheng Li, Po T Wang, Mukta P Vaidya, Robert D Flint, Charles Y Liu, Marc W Slutzky, An H Do

Abstract read
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In one paragraph

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Yongcheng LiDepartment of Neurology, University of California, Irvine, Irvine, CA, United States.
Po T WangDepartment of Biomedical Engineering, University of California, Irvine, Irvine, CA, United States.
Mukta P VaidyaDepartment of Neurology, Northwestern University, Chicago, IL, United States.
Robert D FlintDepartment of Neurology, Northwestern University, Chicago, IL, United States.
Charles Y LiuDepartment of Neurosurgery, University of Southern California, Los Angeles, CA, United States.
Marc W SlutzkyDepartment of Neurology, Northwestern University, Chicago, IL, United States.
An H DoDepartment of Neurology, University of California, Irvine, Irvine, CA, United States.

Funding

Designing brain machine interfaces to drive plasticity and enhance recovery after brain injuryR01NS094748 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DO, AN, SLUTZKY, MARC W. · 2015 to 2019
$2.3M
NINDS NIH HHS R01 NS094748
6 · The paper itself

Abstract

Recent studies have shown the ability to record high-γ signals (80-160 Hz) in electroencephalogram (EEG) from traumatic brain injury (TBI) patients who have had hemicraniectomies. However, extraction of the movement-related high-γ remains challenging due to a confounding bandwidth overlap with surface electromyogram (EMG) artifacts related to facial and head movements. In our previous work, we described an augmented independent component analysis (ICA) approach for removal of EMG artifacts from EEG, and referred to as

Indexed as

EEGEMG artifacts removalhigh-γICATBI

Identifiers

PMID33328870
PMCPMC7732541

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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.