@article{ref1,
title="Enhanced default mode connectivity predicts metacognitive accuracy in traumatic brain injury",
journal="Neuropsychology",
year="2019",
author="Grossner, Emily C. and Bernier, Rachel A. and Brenner, Einat K. and Chiou, Kathy S. and Hong, Justin and Hillary, Frank G.",
volume="ePub",
number="ePub",
pages="ePub-ePub",
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). <br><br>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. <br><br>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 (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. <br><br>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. (PsycINFO Database Record (c) 2019 APA, all rights reserved).<p /> <p>Language: en</p>",
language="en",
issn="0894-4105",
doi="10.1037/neu0000559",
url="http://dx.doi.org/10.1037/neu0000559"
}