Emily C. Grossner
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View article: 7 Domain-Specific Assessments for Metacognition in Older Adults Sustaining Traumatic Brain Injury
7 Domain-Specific Assessments for Metacognition in Older Adults Sustaining Traumatic Brain Injury Open
Objective: Metacognitive deficits are common following traumatic brain injury (TBI), and this has important implications for recovery, social relationships, and rehabilitative outcomes (Chiou et al., 2011; Flashman & McAllister, 2002; Owns…
View article: Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics
Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics Open
In this critical review, we examine the application of predictive models, for example, classifiers, trained using machine learning (ML) to assist in interpretation of functional neuroimaging data. Our primary goal is to summarize how ML is…
View article: A Population-Based Study of Pre-Existing Health Conditions in Traumatic Brain Injury
A Population-Based Study of Pre-Existing Health Conditions in Traumatic Brain Injury Open
Health factors impacting both the occurrence of, and recovery from traumatic brain injury (TBI) vary in complexity, and present genuine challenges to researchers and healthcare professionals seeking to characterize injury consequences and …
View article: Enhanced default mode connectivity predicts metacognitive accuracy in traumatic brain injury.
Enhanced default mode connectivity predicts metacognitive accuracy in traumatic brain injury. Open
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 Recor…
View article: Diminished neural network dynamics after moderate and severe traumatic brain injury
Diminished neural network dynamics after moderate and severe traumatic brain injury Open
Over the past decade there has been increasing enthusiasm in the cognitive neurosciences around using network science to understand the system-level changes associated with brain disorders. A growing literature has used whole-brain fMRI an…
View article: Diminished neural network dynamics in amnestic mild cognitive impairment
Diminished neural network dynamics in amnestic mild cognitive impairment Open
View article: Prefrontal gray matter volume predicts metacognitive accuracy following traumatic brain injury.
Prefrontal gray matter volume predicts metacognitive accuracy following traumatic brain injury. Open
These 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
View article: Corrigendum: Dedifferentiation Does Not Account for Hyperconnectivity after Traumatic Brain Injury
Corrigendum: Dedifferentiation Does Not Account for Hyperconnectivity after Traumatic Brain Injury Open
[This corrects the article on p. 297 in vol. 8, PMID: 28769858.].
View article: Dedifferentiation Does Not Account for Hyperconnectivity after Traumatic Brain Injury
Dedifferentiation Does Not Account for Hyperconnectivity after Traumatic Brain Injury Open
The primary hypothesis that hyperconnectivity occurs through dedifferentiation was not supported. [corrected]. Instead, enhanced connectivity post injury was observed within network. Results suggest that the relationship between increased …