Evidence map›Paper›PMID 34295299›Full record

ArticleFrontiers in neurology2021

Using Dynamics of Eye Movements, Speech Articulation and Brain Activity to Predict and Track mTBI Screening Outcomes.

James R Williamson, Doug Sturim, Trina Vian, Joseph Lacirignola, Trey E Shenk, Sophia Yuditskaya, Hrishikesh M Rao, Thomas M Talavage, Kristin J Heaton, Thomas F Quatieri

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 88% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

10 authors at 3 institutions in 1 country.

James R WilliamsonHuman Health and Performance Systems, MIT Lincoln Laboratory, Lexington, MA, United States.
Doug SturimHuman Health and Performance Systems, MIT Lincoln Laboratory, Lexington, MA, United States.
Trina VianCounter-WMD Systems, MIT Lincoln Laboratory, Lexington, MA, United States.
Joseph LacirignolaCounter-WMD Systems, MIT Lincoln Laboratory, Lexington, MA, United States.
Trey E ShenkAdvanced RF Techniques & Systems, MIT Lincoln Laboratory, Lexington, MA, United States.
Sophia YuditskayaHuman Health and Performance Systems, MIT Lincoln Laboratory, Lexington, MA, United States.
Hrishikesh M RaoHuman Health and Performance Systems, MIT Lincoln Laboratory, Lexington, MA, United States.
Thomas M TalavageElectrical and Computer Engineering/Biomedical Engineering, Purdue University, West Lafayette, IN, United States.
Kristin J HeatonMilitary Performance Division, U.S. Army Research Institute of Environmental Medicine, Natick, MA, United States.
Thomas F QuatieriHuman Health and Performance Systems, MIT Lincoln Laboratory, Lexington, MA, United States.
MIT Lincoln Laboratory · USPurdue University West Lafayette · USUnited States Army · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Repeated subconcussive blows to the head during sports or other contact activities may have a cumulative and long lasting effect on cognitive functioning. Unobtrusive measurement and tracking of cognitive functioning is needed to enable preventative interventions for people at elevated risk of concussive injury. The focus of the present study is to investigate the potential for using passive measurements of fine motor movements (smooth pursuit eye tracking and read speech) and resting state brain activity (measured using fMRI) to complement existing diagnostic tools, such as the Immediate Post-concussion Assessment and Cognitive Testing (ImPACT), that are used for this purpose. Thirty-one high school American football and soccer athletes were tracked through the course of a sports season. Hypotheses were that (1) measures of complexity of fine motor coordination and of resting state brain activity are predictive of cognitive functioning measured by the ImPACT test, and (2) within-subject changes in these measures over the course of a sports season are predictive of changes in ImPACT scores. The first principal component of the six ImPACT composite scores was used as a latent factor that represents cognitive functioning. This latent factor was positively correlated with four of the ImPACT composites: verbal memory, visual memory, visual motor speed and reaction speed. Strong correlations, ranging between

Indexed as

eye trackingfine motor coordinationfMRIneurocognitive testingresting state brain activityspeech

Identifiers

PMID34295299
PMCPMC8289895
OpenAlexW3182297646

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.