Literature DB >> 29265864

Factor structure of the NIH Toolbox Cognition Battery in individuals with acquired brain injury.

David S Tulsky1, James A Holdnack2, Matthew L Cohen2, Robert K Heaton3, Noelle E Carlozzi4, Alex W K Wong5, Aaron J Boulton6, Allen W Heinemann7.   

Abstract

OBJECTIVE: The National Institutes of Health Toolbox Cognition Battery (NIHTB-CB) measures reading, vocabulary, episodic memory, working memory, executive functioning, and processing speed. While previous research has validated the factor structure in healthy adults, the factor structure has not been examined in adults with neurological impairments. Thus, this study evaluated the NIHTB-CB factor structure in individuals with acquired brain injury.
METHOD: A sample of 392 individuals (ages 18-84) with acquired brain injury (n = 182 TBI, n = 210 stroke) completed the NIHTB-CB along with neuropsychological tests as part of a larger, multisite research project.
RESULTS: Confirmatory factor analyses supported a 5-factor solution that included reading, vocabulary, episodic memory, working memory, and processing speed/executive functioning. This structure generally held in TBI and stroke subsamples as well as in subsamples of those with severe TBI and stroke injuries.
CONCLUSIONS: The factor structure of the NIHTB-CB is similar in adults with acquired brain injury to adults from the general population. We discuss the implications of these findings for clinical practice and clinical research. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

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Year:  2017        PMID: 29265864      PMCID: PMC5745053          DOI: 10.1037/rep0000183

Source DB:  PubMed          Journal:  Rehabil Psychol        ISSN: 0090-5550


  8 in total

1.  Latent Factor Structure and Measurement Invariance of the NIH Toolbox Cognition Battery in an Alzheimer's Disease Research Sample.

Authors:  Yue Ma; Cynthia M Carlsson; Michelle L Wahoske; Hanna M Blazel; Richard J Chappell; Sterling C Johnson; Sanjay Asthana; Carey E Gleason
Journal:  J Int Neuropsychol Soc       Date:  2020-10-05       Impact factor: 2.892

2.  Post-stroke cognitive impairments and responsiveness to motor rehabilitation: A review.

Authors:  Jennapher Lingo VanGilder; Andrew Hooyman; Daniel S Peterson; Sydney Y Schaefer
Journal:  Curr Phys Med Rehabil Rep       Date:  2020-09-10

3.  Fluid Cognitive Abilities Are Important for Learning and Retention of a New, Explicitly Learned Walking Pattern in Individuals After Stroke.

Authors:  Margaret A French; Matthew L Cohen; Ryan T Pohlig; Darcy S Reisman
Journal:  Neurorehabil Neural Repair       Date:  2021-03-23       Impact factor: 3.919

4.  Distinct functional and structural connections predict crystallised and fluid cognition in healthy adults.

Authors:  Elvisha Dhamala; Keith W Jamison; Abhishek Jaywant; Sarah Dennis; Amy Kuceyeski
Journal:  Hum Brain Mapp       Date:  2021-04-08       Impact factor: 5.038

5.  Fluid Cognition Relates to Locomotor Switching in Neurotypical Adults, Not Individuals After Stroke.

Authors:  Margaret A French; Matthew L Cohen; Ryan T Pohlig; Darcy S Reisman
Journal:  J Neurol Phys Ther       Date:  2022-01-01       Impact factor: 3.649

6.  Comparability of iPad and Web-Based NIH Toolbox Cognitive Battery Administration in Veterans.

Authors:  Timothy W Brearly; Jared A Rowland; Sarah L Martindale; Robert D Shura; David Curry; Kathy H Taber
Journal:  Arch Clin Neuropsychol       Date:  2019-06-01       Impact factor: 3.448

7.  Shared functional connections within and between cortical networks predict cognitive abilities in adult males and females.

Authors:  Elvisha Dhamala; Keith W Jamison; Abhishek Jaywant; Amy Kuceyeski
Journal:  Hum Brain Mapp       Date:  2021-11-22       Impact factor: 5.399

8.  Executive control deficits and lesion correlates in acute left hemisphere stroke survivors with and without aphasia.

Authors:  Erin L Meier; Catherine R Kelly; Emily B Goldberg; Argye E Hillis
Journal:  Brain Imaging Behav       Date:  2021-10-14       Impact factor: 3.224

  8 in total

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