Evidence map›Paper›PMID 38663098›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2024

Verbal retrieval deficits due to traumatic brain injury are associated with changes in event related potentials during a Go-NoGo task.

Hsueh-Sheng Chiang, Michael Motes, Borna Afkhami-Rohani, Ashna Adhikari, Christian LoBue, Michael Kraut, C Munro Cullum, John Hart

Open access · greenAbstract read
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

8 authors at 3 institutions in 1 country.

Hsueh-Sheng ChiangUniversity of Texas Southwestern Medical Center, Department of Neurology, USA; The University of Texas at Dallas, School of Behavioral and Brain Sciences, USA. Electronic address: hschiang@utdallas.edu.
Michael MotesThe University of Texas at Dallas, School of Behavioral and Brain Sciences, USA. Electronic address: michael.motes@utdallas.edu.
Borna Afkhami-RohaniThe University of Texas at Dallas, School of Behavioral and Brain Sciences, USA. Electronic address: borna.afkhami-rohani@utdallas.edu.
Ashna AdhikariThe University of Texas at Dallas, School of Behavioral and Brain Sciences, USA. Electronic address: ashna.adhikari@utdallas.edu.
Christian LoBueUniversity of Texas Southwestern Medical Center, Department of Psychiatry, USA; University of Texas Southwestern Medical Center, Department of Neurological Surgery, USA. Electronic address: christian.lobue@utsouthwestern.edu.
Michael KrautThe Johns Hopkins School of Medicine, Department of Radiology, USA. Electronic address: mkraut1@jh.edu.
C Munro CullumUniversity of Texas Southwestern Medical Center, Department of Neurology, USA; University of Texas Southwestern Medical Center, Department of Psychiatry, USA; University of Texas Southwestern Medical Center, Department of Neurological Surgery, USA. Electronic address: munro.cullum@utsouthwestern.edu.
John HartUniversity of Texas Southwestern Medical Center, Department of Neurology, USA; The University of Texas at Dallas, School of Behavioral and Brain Sciences, USA; University of Texas Southwestern Medical Center, Department of Psychiatry, USA. Electronic address: jhart@utdallas.edu.
The University of Texas at Dallas · USSouthwestern Medical Center · USJohns Hopkins University · US

Funding

Using High Definition transcranial Direct Current Stimulation Guided by Electrophysiology and Diffusion Tensor Imaging to Treat Verbal Retrieval Deficits Secondary to Chronic Traumatic Brain InjuryK99DC020185 · NIDCD · UT SOUTHWESTERN MEDICAL CENTER · PI CHIANG, HSUEH-SHENG · 2023 to 2024
$209k
NIDCD NIH HHS K99 DC020185
6 · The paper itself

Abstract

objectiveVerbal retrieval (VR) deficits often occur after traumatic brain injury (TBI), but the mechanisms remain unclear. We examined how event-related potentials (ERPs) during a Go-NoGo task were associated with VR deficits.

methodsSixty veterans with a history of TBI underwent a neuropsychological battery and a Go-NoGo task with concurrent EEG recording. We compared task performance and ERP measures (N2, P3) between those with and those without persistent injury-related VR deficits. We then used generalized linear modeling to examine the relationship between ERP measures and scores on measures of executive function and processing speed.

resultsGo-NoGo task performance was comparable between the groups. Those with VR deficits had larger N2 amplitude in NoGo than in Go conditions. In participants with VR deficits, larger NoGo N2/P3 amplitude predicted faster processing speed. Furthermore, larger P3 amplitude and shorter P3 latency of the difference wave (NoGo - Go) predicted faster processing speed in those with VR deficits.

conclusionsDespite no difference in Go-NoGo task performance, ERP amplitude and latency measures associated with cognitive control during Go-NoGo distinguished TBI individuals with VR deficits from those without. SIGNIFICANCE: This study furthers our understanding of VR deficits in TBI and implicates potential application of ERP measures in monitoring and treating such deficits.

Indexed as

Brain Injuries, TraumaticElectroencephalographyEvoked PotentialsAdultExecutive FunctionFemaleHumansMaleMental RecallMiddle AgedNeuropsychological TestsReaction TimeEEGERPGo-NoGo taskN2N200P3P300TBIVerbal retrievalVeteransWord finding

Identifiers

PMID38663098
PMCPMC11216819
OpenAlexW4394858225

What OpenQuestion holds

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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.