Literature DB >> 23093456

Fractional anisotropy helps predicts memory rehabilitation outcome after traumatic brain injury.

Gary E Strangman1, Therese M O'Neil-Pirozzi, Christina Supelana, Richard Goldstein, Douglas I Katz, Mel B Glenn.   

Abstract

Traumatic brain injury (TBI) commonly results in residual memory difficulties. Such deficits are amenable to cognitive rehabilitation, but optimal selection of rehabilitation interventions remains a challenge. We hypothesized that diffusion tensor imaging (DTI) could be used to predict which individuals were likely to benefit from a specific memory rehabilitation intervention. Thirty-seven individuals with TBI, of all severities, first underwent DTI scanning, along with 18 matched controls. Participants with TBI then attended a 12-session memory intervention emphasizing internal memory strategies (I-MEMS). Primary outcome measures (HVLT, RBMT) were collected at the time of DTI scanning, and both immediately and one month post-therapy. In contrast to typical neuroimaging analysis, fractional anisotropy (FA) was used to predict long-term outcome scores, adjusting for typical predictors (injury severity, age, education, time since injury, pretest score). FA of the parahippocampal white matter was a significant negative predictor of HVLT, while the anterior corpus callosum, left anterior internal capsule, and right anterior corona radiata were negative predictors of RBMT outcome. The importance of these predictors rivaled those of pretest scores. Thus, FA measures may provide substantial predictive value for other cognitive interventions as well. The reason why higher FA was associated with less successful response to cognitive intervention remains unclear and will require further study.

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Year:  2012        PMID: 23093456     DOI: 10.3233/NRE-2012-0797

Source DB:  PubMed          Journal:  NeuroRehabilitation        ISSN: 1053-8135            Impact factor:   2.138


  8 in total

1.  Changes of White Matter Diffusion Anisotropy in Response to a 6-Week iPad Application-Based Occupational Therapy Intervention in Children with Surgically Treated Hydrocephalus: A Pilot Study.

Authors:  Weihong Yuan; Karen Harpster; Blaise V Jones; Joshua S Shimony; Robert C McKinstry; Nicole Weckherlin; Stephanie S Powell; Holly Barnard; Jack Engsberg; Darren S Kadis; Jonathan Dodd; Mekibib Altaye; David D Limbrick; Scott K Holland; Sarah M Simpson; Sarah Bidwell; Francesco T Mangano
Journal:  Neuropediatrics       Date:  2016-07-20       Impact factor: 1.947

2.  Structural Connectivity Related to Persistent Symptoms After Mild TBI in Adolescents and Response to Aerobic Training: Preliminary Investigation.

Authors:  Weihong Yuan; Shari L Wade; Catherine Quatman-Yates; Jason A Hugentobler; Paul J Gubanich; Brad G Kurowski
Journal:  J Head Trauma Rehabil       Date:  2017 Nov/Dec       Impact factor: 2.710

Review 3.  The Value of Patient Registries to Advance Basic and Translational Research in the Area of Traumatic Brain Injury.

Authors:  Melissa C Duff; Emily L Morrow; Malcolm Edwards; Ryan McCurdy; Sharice Clough; Nirav Patel; Kimberly Walsh; Natalie V Covington
Journal:  Front Behav Neurosci       Date:  2022-04-25       Impact factor: 3.617

Review 4.  Mapping the Connectome Following Traumatic Brain Injury.

Authors:  Yousef Hannawi; Robert D Stevens
Journal:  Curr Neurol Neurosci Rep       Date:  2016-05       Impact factor: 5.081

5.  Exploring the physiological correlates of chronic mild traumatic brain injury symptoms.

Authors:  Serguei V Astafiev; Kristina L Zinn; Gordon L Shulman; Maurizio Corbetta
Journal:  Neuroimage Clin       Date:  2016-01-06       Impact factor: 4.881

6.  Diffusion Tensor Imaging Parameters in Mild Traumatic Brain Injury and Its Correlation with Early Neuropsychological Impairment: A Longitudinal Study.

Authors:  Vigneswaran Veeramuthu; Vairavan Narayanan; Tan Li Kuo; Lisa Delano-Wood; Karuthan Chinna; Mark William Bondi; Vicknes Waran; Dharmendra Ganesan; Norlisah Ramli
Journal:  J Neurotrauma       Date:  2015-06-11       Impact factor: 5.269

7.  Mild traumatic brain injury and delayed alteration of memory processing.

Authors:  Philip P Foster
Journal:  Front Neurosci       Date:  2015-10-14       Impact factor: 4.677

Review 8.  Network dysfunction after traumatic brain injury.

Authors:  David J Sharp; Gregory Scott; Robert Leech
Journal:  Nat Rev Neurol       Date:  2014-02-11       Impact factor: 42.937

  8 in total

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