Evidence map›Paper›PMID 29809035›Full record

ArticleNeuropsychology2018

Prefrontal gray matter volume predicts metacognitive accuracy following traumatic brain injury.

Emily C Grossner, Rachel A Bernier, Einat K Brenner, Kathy S Chiou, Frank G Hillary

Abstract read
In one paragraph

Article in Neuropsychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

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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, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

5 authors.

Emily C GrossnerDepartment of Psychology, Penn State University.
Rachel A BernierDepartment of Psychology, Penn State University.
Einat K BrennerDepartment of Psychology, Penn State University.
Kathy S ChiouDepartment of Psychology, University of Nebraska Lincoln.
Frank G HillaryDepartment of Psychology, Penn State University.

Funding

Clinical Translational Science InstituteNINDS NIH HHS L30 NS049812Penn State University; Social Life and Engineering Sciences Imaging CenterPenn State University; Social Sciences Research Institute
6 · The paper itself

Abstract

objectiveTo examine metacognitive ability (MC) following moderate to severe traumatic brain injury (TBI) using an empirical assessment approach and to determine the relationship between alterations in gray matter volume (GMV) and MC.

methodA sample of 62 individuals (TBI n = 34; healthy control [HC] n = 28) were included in the study. Neuroimaging and neuropsychological data were collected for all participants during the same visit. MC was quantified using an approach borrowed from signal detection theory (Type II area under the receiver operating characteristic curve calculation) to evaluate judgments during a modified version of the 3rd edition of the Wechsler Adult Intelligence Scale's Matrix Reasoning subtest where half of the items were presented randomly and half were presented in the order of increasing difficulty. Retrospective confidence judgments were collected on an item-by-item basis. Brain volumetric analyses were conducted using FreeSurfer software.

resultsAnalyses of the modified Matrix Reasoning task data demonstrated that HCs significantly outperformed TBIs (ordered: d = .63; random: d = .58). There was a significant difference between groups for MC for the randomly presented stimuli (d = .54) but not the ordered stimuli. There was an association between GMV and MC in the TBI group between the right orbital region and MC (R2 = .11). In the HC group, there were associations between the left posterior (R2 = .17), left orbital (R2 = .29), and left dorsolateral (R2 = .21) regions and MC.

conclusionsThese results are consistent with those of previous research on MC in the cognitive neurosciences, but this study demonstrates that injury may moderate the regional contributions to MC. (PsycINFO Database Record

Indexed as

AdultBrainBrain Injuries, TraumaticCase-Control StudiesFemaleGray MatterHumansMagnetic Resonance ImagingMaleMetacognitionMiddle AgedNeuropsychological TestsRetrospective StudiesYoung Adult

Identifiers

PMID29809035
PMCPMC6058682

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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.