Evidence map›Paper›PMID 31611760›Full record

ArticleFrontiers in neuroscience2019

Discriminating Fake From True Brain Injury Using Latency of Left Frontal Neural Responses During Old/New Memory Recognition.

Jennifer Neal, Stephanie Strothkamp, Esias Bedingar, Patrick Cordero, Benjamin Wagner, Victoria Vagnini, Yang Jiang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2019. 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
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  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 at 3 institutions in 1 country.

Jennifer NealDepartment of Behavioral Science, University of Kentucky College of Medicine, Lexington, KY, United States.
Stephanie StrothkampDepartment of Behavioral Science, University of Kentucky College of Medicine, Lexington, KY, United States.
Esias BedingarDepartment of Behavioral Science, University of Kentucky College of Medicine, Lexington, KY, United States.
Patrick CorderoDepartment of Behavioral Science, University of Kentucky College of Medicine, Lexington, KY, United States.
Benjamin WagnerDepartment of Behavioral Science, University of Kentucky College of Medicine, Lexington, KY, United States.
Victoria VagniniDepartment of Behavioral Science, University of Kentucky College of Medicine, Lexington, KY, United States.
Yang JiangDepartment of Behavioral Science, University of Kentucky College of Medicine, Lexington, KY, United States.
University of Kentucky · USHarvard University · USLouisville VA Medical Center · US

Funding

Predictive Neurophysiological Biomarkers for Risk of Alzheimer’s Disease (AD) and Related Dementia (ADRD) Induced Cognitive Impairment in Sino-US CohortsR56AG060608 · NIA · UNIVERSITY OF KENTUCKY · PI JIANG, YANG · 2018 to 2018
$440k
NIA NIH HHS R56 AG060608
6 · The paper itself

Abstract

Traumatic brain injury (TBI) is a major public health concern that affects 69 million individuals each year worldwide. Neuropsychologists report that up to 40% of individuals undergoing evaluations for TBI may be malingering neurocognitive deficits for a compensatory reward. The memory recognition test of malingering detection is effective but can be coached behaviorally. There is great need to develop a novel neural based method for discriminating fake from true brain injury. Here we test the hypothesis that decision making of faking memory deficits prolongs frontal neural responses. We applied an advanced method measuring decision latency in milliseconds for discriminating true TBI from malingerers who fake brain injury. To test this hypothesis, latencies of memory-related brain potentials were compared among true patients with moderate or severe TBI, and healthy age-matched individuals who were assigned either to be honest or faking memory deficit. Scalp signals of electroencephalography (EEG) were recorded with a 32-channel cap during an Old/New memory recognition task in three age- and education-matched groups: honest (

Indexed as

EEGevent-related potentialsfractional peak latencylate positive componentmalingerP3traumatic brain injury

Identifiers

PMID31611760
PMCPMC6777439
OpenAlexW2971803181

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.