Evidence map›Paper›PMID 36324216›Full record

ArticleJournal of neurotrauma2023

Long-Term Changes in Brain Connectivity Reflected in Quantitative Electrophysiology of Symptomatic Former National Football League Players.

Bo Liang, Michael L Alosco, Ruben Armañanzas, Brett M Martin, Yorghos Tripodis, Robert A Stern, Leslie S Prichep

Open access · greenAbstract read
In one paragraph

Article in Journal of neurotrauma, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-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

7 citing papers in PubMed, 15 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Bo LiangBrainScope Company, Chevy Chase, Maryland, USA.
Michael L AloscoBoston University CTE Center, Boston University, Boston, Massachusetts, USA.
Ruben ArmañanzasBrainScope Company, Chevy Chase, Maryland, USA.
Brett M MartinBoston University CTE Center, Boston University, Boston, Massachusetts, USA.
Yorghos TripodisBoston University CTE Center, Boston University, Boston, Massachusetts, USA.
Robert A SternBoston University CTE Center, Boston University, Boston, Massachusetts, USA.
Leslie S PrichepBrainScope Company, Chevy Chase, Maryland, USA.
Boston University · USUniversidad de Navarra · ES

Funding

Chronic Traumatic Encephalopathy: Clinical Presentation and BiomarkersR01NS078337 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI STERN, ROBERT A · 2011 to 2013
$2.0M
Repetitive Head Impact Exposure and Later-Life White Matter Signal Abnormalities: An Investigation in Former NFL Players, Subjects with Alzheimer's Disease, and Cognitively Normal ControlsK23NS102399 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI ALOSCO, MICHAEL · 2018 to 2022
$793k
Chronic Traumatic Encephalopathy: Clinical Presentation and BiomarkersR56NS078337 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI STERN, ROBERT A · 2014 to 2014
$786k
NINDS NIH HHS K23 NS102399NINDS NIH HHS R01 NS078337NINDS NIH HHS R56 NS078337
6 · The paper itself

Abstract

Exposure to repetitive head impacts (RHI) has been associated with long-term disturbances in cognition, mood, and neurobehavioral dysregulation, and reflected in neuroimaging. Distinct patterns of changes in quantitative features of the brain electrical activity (quantitative electroencephalogram [qEEG]) have been demonstrated to be sensitive to brain changes seen in neurodegenerative disorders and in traumatic brain injuries (TBI). While these qEEG biomarkers are highly sensitive at time of injury, the long-term effects of exposure to RHI on brain electrical activity are relatively unexplored. Ten minutes of eyes closed resting EEG data were collected from a frontal and frontotemporal electrode montage (BrainScope Food and Drug Administration-cleared EEG acquisition device), as well as assessments of neuropsychiatric function and age of first exposure (AFE) to American football. A machine learning methodology was used to derive a qEEG-based algorithm to discriminate former National Football League (NFL) players (

Indexed as

Brain Injuries, TraumaticFootballNeurodegenerative DiseasesSoccerBrainHumansMaleMiddle Agedage of first exposurebrain electrical activity biomarkerchronic traumatic encephalopathymachine learningquantitative electrophysiologyrepetitive head impacts

Identifiers

PMID36324216
PMCPMC9902050
OpenAlexW4308060923

What OpenQuestion holds

Textmetadata
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.