Enhanced Default Mode Connectivity Predicts Metacognitive Accuracy in Traumatic Brain Injury

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

Research output: Contribution to journalArticle

Abstract

Objective: To 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). Method: A 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. Results: There 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 (R 2 = 0.13, p = .047) and between the posterior DMN and salience network on metacognitive accuracy (R 2 = 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 (R 2 = 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. Conclusion: Enhanced 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.

Original languageEnglish (US)
JournalNeuropsychology
DOIs
StatePublished - Jan 1 2019

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Craniocerebral Trauma
Aptitude
Atlases
ROC Curve
Magnetic Resonance Imaging
Traumatic Brain Injury
Control Groups
Psychological Signal Detection
Power (Psychology)

Keywords

  • DMN
  • Metacognition
  • Resting state functional connectivity
  • Traumatic brain injury (TBI)

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology

Cite this

Enhanced Default Mode Connectivity Predicts Metacognitive Accuracy in Traumatic Brain Injury. / Grossner, Emily C.; Bernier, Rachel A.; Brenner, Einat K.; Chiou, Kathy S; Hong, Justin; Hillary, Frank G.

In: Neuropsychology, 01.01.2019.

Research output: Contribution to journalArticle

Grossner, Emily C. ; Bernier, Rachel A. ; Brenner, Einat K. ; Chiou, Kathy S ; Hong, Justin ; Hillary, Frank G. / Enhanced Default Mode Connectivity Predicts Metacognitive Accuracy in Traumatic Brain Injury. In: Neuropsychology. 2019.
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