ArticleNeuropsychology2019
Enhanced default mode connectivity predicts metacognitive accuracy in traumatic brain injury.
Article in Neuropsychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Drivers of resting-state fMRI heterogeneity in traumatic brain injury across injury characteristics and imaging methods: a systematic review and semiquantitative analysis.Frontiers in neurology · 2024Pooled it
- Neural Correlates of Impaired Self-awareness of Deficits after Acquired Brain Injury: A Systematic Review.Neuropsychology review · 2023Pooled it
- Financial Decision Making in Older Adults Is Associated With Frontoparietal-Salience Between-Network Connectivity.Journal of neuroscience, psychology, and economics · 2026Article
- Bridging psychiatric and educational metacognition: a perspective on insight and learning.Frontiers in psychiatry · 2026Article
- Functional Connectivity, Tissue Microstructure, and T2 at 11.1 Tesla Distinguishes Neuroadaptive Differences in Two Traumatic Brain Injury Models in Rats: A Translational Outcomes Project in NeuroTrauma (TOP-NT) UG3 Phase Study.Neurotrauma reports · 2025Article
- Evaluating post-thrombectomy effective connectivity changes in anterior circulation stroke.Annals of clinical and translational neurology · 2024Article
- Bayesian varying-effects vector autoregressive models for inference of brain connectivity networks and covariate effects in pediatric traumatic brain injury.Human brain mapping · 2024Article
- Verbal Learning and Memory Deficits across Neurological and Neuropsychiatric Disorders: Insights from an ENIGMA Mega Analysis.Brain sciences · 2024Article
- ENIGMA's simple seven: Recommendations to enhance the reproducibility of resting-state fMRI in traumatic brain injury.NeuroImage. Clinical · 2024Review
- Volumetric MRI Findings in Mild Traumatic Brain Injury (mTBI) and Neuropsychological Outcome.Neuropsychology review · 2023Review
- A Framework to Advance Biomarker Development in the Diagnosis, Outcome Prediction, and Treatment of Traumatic Brain Injury.Journal of neurotrauma · 2022Review
- Meso-scale network analysis of resting state-fMRI brain network connectivity performs poorly as a prognostic tool in critically ill traumatic brain injury patients.Neuroimage. Reports · 2022Article
- Integrative Neuroinformatics for Precision Prognostication and Personalized Therapeutics in Moderate and Severe Traumatic Brain Injury.Frontiers in neurology · 2021Review
- Exploring Traumatic Brain Injuries and Aggressive Antisocial Behaviors in Young Male Violent Offenders.Frontiers in psychiatry · 2020Article
- Default mode network anatomy and function is linked to pediatric concussion recovery.Annals of clinical and translational neurology · 2019Article
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Authors and funding
6 authors.
Funding
Abstract
objectiveTo examine the role that intrinsic functional networks, specifically the default mode network, have on metacognitive accuracy for individuals with moderate to severe traumatic brain injury (TBI).
methodA sample of 44 individuals (TBI, n = 21; healthy controls [HCs], n = 23) were included in the study. All participants underwent an MRI scan and completed neuropsychological testing. Metacognitive accuracy was defined as participants' ability to correctly judge their item-by-item performance on an abstract reasoning task. Metacognitive values were calculated using the signal detection theory approach of area under the receiver operating characteristic curve. Large-scale subnetworks were created using Power's 264 Functional Atlas. The graph theory metric of network strength was calculated for six subsystem networks to measure functional connectivity.
resultsThere were significant interactions between head injury status (TBI or HC) and internetwork connectivity between the anterior default mode network (DMN) and salience network on metacognitive accuracy (R2 = 0.13, p = .047) and between the posterior DMN and salience network on metacognitive accuracy (R2 = 0.15, p = .038). There was an interpretable interaction between head injury status and internetwork connectivity between the attention network and salience network on metacognitive accuracy (R2 = 0.13, p = .067). In all interactions, higher connectivity predicted better metacognitive accuracy in the TBI group, but this relationship was reversed for the HC group.
conclusionEnhanced connectivity to both anterior and posterior regions within the DMN facilitates metacognitive accuracy postinjury. These findings are integrated into a larger literature examining network plasticity in TBI. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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