Literature DB >> 27750571

Cognitive Deficits Post-Traumatic Brain Injury and Their Association with Injury Severity and Gray Matter Volumes.

Abigail Livny1,2,3, Anat Biegon4, Tammar Kushnir1,3, Sagi Harnof3,5, Chen Hoffmann1,3, Eyal Fruchter6, Mark Weiser3,7.   

Abstract

Traumatic brain injury (TBI) is known to have a substantial though highly variable impact on cognitive abilities. Due to the wide range of cognitive abilities among healthy individuals, an objective assessment of TBI-related cognitive loss requires an accurate measurement of pre-morbid cognitive performance. To address this problem, we recruited 50 adults who sustained a TBI and had performed a cognitive baseline assessment in adolescence as part of the aptitude tests mandated by the Israeli Defense Forces. This group was matched with non-injured controls (n = 35). Pre- and post-injury cognitive assessments consisted of three domains-namely, verbal abstraction, mathematical reasoning, and non-verbal abstract reasoning (from the Wechsler Adult Intelligence Scale-Third Edition). The difference between post- and pre-injury scores was calculated as a measure of domain-specific cognitive decline. Voxel-based regression was used to correlate cognitive decline with modulated gray matter probability maps controlling for age, Glasgow Coma Scale, and total intracranial volume. Using objectively assessed cognitive scores, we found that abstract reasoning declined in both moderate-severe and mild TBI patients, whereas verbal abstraction declined only in the moderate-severe group. Mathematical reasoning was not affected by TBI. In the TBI patients, non-verbal abstract reasoning post-pre-injury change scores were negatively correlated with the volume of the insula. We conclude that access to pre-morbid neuropsychological data may have facilitated the discovery of the effects of mild TBI on abstract reasoning, as well as a significant correlation between TBI-related decline in this cognitive domain and the volume of the bilateral insula, both of which had not been appreciated in the past.

Entities:  

Keywords:  MRI; cognitive function; neuropsychology; traumatic brain injury

Mesh:

Year:  2016        PMID: 27750571     DOI: 10.1089/neu.2016.4598

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  6 in total

1.  Functional Connectome Dynamics After Mild Traumatic Brain Injury According to Age and Sex.

Authors:  Anar Amgalan; Alexander S Maher; Phoebe Imms; Michelle Y Ha; Timothy A Fanelle; Andrei Irimia
Journal:  Front Aging Neurosci       Date:  2022-05-18       Impact factor: 5.702

2.  Prospective evaluation of the Quality of Life after Brain Injury (QOLIBRI) score: minor differences in patients with major versus no or mild traumatic brain injury at one-year follow up.

Authors:  Konstantin Born; Felix Amsler; Thomas Gross
Journal:  Health Qual Life Outcomes       Date:  2018-07-09       Impact factor: 3.186

Review 3.  Considering Biological Sex in Traumatic Brain Injury.

Authors:  Anat Biegon
Journal:  Front Neurol       Date:  2021-02-10       Impact factor: 4.003

Review 4.  Shades of Rage: Applying the Process Model of Emotion Regulation to Managing Anger After Brain Injury.

Authors:  Jade Abigail Witten; Rudi Coetzer; Oliver H Turnbull
Journal:  Front Psychol       Date:  2022-03-18

5.  Cortical and Subcortical Alterations and Clinical Correlates after Traumatic Brain Injury.

Authors:  Qiang Xue; Linbo Wang; Yuanyu Zhao; Wusong Tong; Jiancun Wang; Gaoyi Li; Wei Cheng; Liang Gao; Yan Dong
Journal:  J Clin Med       Date:  2022-07-29       Impact factor: 4.964

6.  Self-guided Positive Imagery Training: Effects beyond the Emotions-A Loreta Study.

Authors:  Svetla Velikova; Bente Nordtug
Journal:  Front Hum Neurosci       Date:  2018-01-09       Impact factor: 3.169

  6 in total

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