Literature DB >> 17691034

Measuring recovery in new learning and memory following traumatic brain injury: a mixed-effects modeling approach.

Bong-Chul Chu1, Scott Millis, Juan Carlos Arango-Lasprilla, Robin Hanks, Thomas Novack, Tessa Hart.   

Abstract

Patterns of recovery from traumatic brain injury (TBI) vary greatly across individuals. Using archival data from the Traumatic Brain Injury Model Systems, recovery of memory following TBI as measured by scores on the Rey Auditory Verbal Learning Test (RAVLT) through 5 years postinjury was examined via mixed-effects modeling. Individual-level variables of age and posttraumatic amnesia duration were significant predictors of 1-year RAVLT total score. None of the variables examined predicted the trajectory of memory recovery after 1 year. Mixed-effects analyses can be helpful in determining the effect of intervention while allowing for missing data across time points.

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Year:  2007        PMID: 17691034     DOI: 10.1080/13803390600878893

Source DB:  PubMed          Journal:  J Clin Exp Neuropsychol        ISSN: 1380-3395            Impact factor:   2.475


  9 in total

1.  Verbal memory impairment in severe closed head injury: the role of encoding and consolidation.

Authors:  Matthew J Wright; Maureen Schmitter-Edgecombe; Ellen Woo
Journal:  J Clin Exp Neuropsychol       Date:  2010-02-19       Impact factor: 2.475

2.  Effectiveness of intense, activity-based physical therapy for individuals with spinal cord injury in promoting motor and sensory recovery: is olfactory mucosa autograft a factor?

Authors:  Cathy A Larson; Paula M Dension
Journal:  J Spinal Cord Med       Date:  2013-01       Impact factor: 1.985

3.  The Role of Cognitive Reserve in Recovery From Traumatic Brain Injury.

Authors:  Kayla A Steward; Richard Kennedy; Thomas A Novack; Michael Crowe; Daniel C Marson; Kristen L Triebel
Journal:  J Head Trauma Rehabil       Date:  2018 Jan/Feb       Impact factor: 2.710

Review 4.  The Effects of Moderate-to-Severe Traumatic Brain Injury on Episodic Memory: a Meta-Analysis.

Authors:  Eli Vakil; Yoram Greenstein; Izhak Weiss; Sarit Shtein
Journal:  Neuropsychol Rev       Date:  2019-08-13       Impact factor: 7.444

5.  Divergent Six Month Functional Recovery Trajectories and Predictors after Traumatic Brain Injury: Novel Insights from the Citicoline Brain Injury Treatment Trial Study.

Authors:  Raquel C Gardner; Jing Cheng; Adam R Ferguson; Ross Boylan; John Boscardin; Ross D Zafonte; Geoffrey T Manley
Journal:  J Neurotrauma       Date:  2019-05-24       Impact factor: 5.269

6.  A Bayesian nonlinear mixed-effects location scale model for learning.

Authors:  Donald R Williams; Daniel R Zimprich; Philippe Rast
Journal:  Behav Res Methods       Date:  2019-10

Review 7.  Baseline Predictors of Survival, Neurological Recovery, Cognitive Function, Neuropsychiatric Outcomes, and Return to Work in Patients after a Severe Traumatic Brain Injury: an Updated Review.

Authors:  Haifa Algethamy
Journal:  Mater Sociomed       Date:  2020-06

8.  Effect of computerized cognitive rehabilitation in comparison between young and old age after traumatic brain injury.

Authors:  Seong-Hun Kim; Dae-Won Gwak; Jae-Gyeong Jeong; Hyunwoo Jung; Yu-Sun Min; Ae-Ryoung Kim; Tae-Du Jung
Journal:  Medicine (Baltimore)       Date:  2022-08-19       Impact factor: 1.817

9.  Patterns of early conversational recovery for people with traumatic brain injury and their communication partners.

Authors:  An An Chia; Emma Power; Belinda Kenny; Elise Elbourn; Skye McDonald; Robyn Tate; Brian MacWhinney; Lyn Turkstra; Audrey Holland; Leanne Togher
Journal:  Brain Inj       Date:  2019-02-23       Impact factor: 2.311

  9 in total

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