Literature DB >> 24625213

Normative Data for the Neurobehavioral Symptom Inventory (NSI) and post-concussion symptom profiles among TBI, PTSD, and nonclinical samples.

Jason R Soble1, Marc A Silva, Rodney D Vanderploeg, Glenn Curtiss, Heather G Belanger, Alison J Donnell, Steven G Scott.   

Abstract

The Neurobehavioral Symptom Inventory (NSI) is a self-report measure of symptoms commonly associated with Post-Concussion Syndrome (PCS) that may emerge after mild traumatic brain injury (mTBI). Despite frequent clinical use, no NSI norms have been developed. Thus, the main objective of this study was to establish NSI normative data using the four NSI factors (i.e., vestibular, somatic, cognitive, and affective) identified by Vanderploeg, Silva, et al. ( 2014 ) among nonclinical epidemiological samples of deployed and non-deployed Florida National Guard members as well as a reference sample of Guard members with combat-related mTBI. In addition, NSI subscale profile patterns were compared across four distinct subgroups (i.e., non-deployed-nonclinical, deployed-nonclinical, deployed-mTBI, and deployed-PTSD). The deployed-nonclinical group endorsed greater PCS symptom severity than the non-deployed group, and the mTBI group uniformly endorsed more symptoms than both nonclinical groups. However, the PTSD group endorsed higher symptom severity relative to the other three subgroups. As such, this highlights the non-specificity of PCS symptoms and suggests that PTSD is associated with higher symptom endorsement than mTBI.

Entities:  

Keywords:  Neurobehavioral Symptom Inventory; Normative data; Post-Concussion Syndrome; Traumatic brain injury.

Mesh:

Year:  2014        PMID: 24625213     DOI: 10.1080/13854046.2014.894576

Source DB:  PubMed          Journal:  Clin Neuropsychol        ISSN: 1385-4046            Impact factor:   3.535


  22 in total

1.  Reaction time and cognitive-linguistic performance in adults with mild traumatic brain injury.

Authors:  Rocío S Norman; Manish N Shah; Lyn S Turkstra
Journal:  Brain Inj       Date:  2019-07-11       Impact factor: 2.311

2.  A Retrospective Study of Predictors of Return to Duty versus Medical Retirement in an Active Duty Military Population with Blast-Related Mild Traumatic Brain Injury.

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Journal:  J Neurotrauma       Date:  2018-03-01       Impact factor: 5.269

3.  Language Comprehension After Mild Traumatic Brain Injury: The Role of Speed.

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Journal:  Am J Speech Lang Pathol       Date:  2019-08-27       Impact factor: 2.408

4.  The Impact of Affective States on Postconcussive Symptoms in a TBI Population.

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Journal:  Mil Med       Date:  2019-03-01       Impact factor: 1.437

5.  Differential effects of deployment and nondeployment mild TBI on neuropsychological outcomes.

Authors:  Sarah L Martindale; Anna S Ord; Sagar S Lad; Holly M Miskey; Katherine H Taber; Jared A Rowland
Journal:  Rehabil Psychol       Date:  2020-12-31

6.  Poor sleep correlates with biomarkers of neurodegeneration in mild traumatic brain injury patients: a CENC study.

Authors:  J Kent Werner; Pashtun Shahim; Josephine U Pucci; Chen Lai; Sorana Raiciulescu; Jessica M Gill; Risa Nakase-Richardson; Ramon Diaz-Arrastia; Kimbra Kenney
Journal:  Sleep       Date:  2021-06-11       Impact factor: 5.849

7.  Comprehensive analysis of the predictors of neurobehavioral symptom reporting in veterans.

Authors:  Ryan J Andrews; Jennifer R Fonda; Laura K Levin; Regina E McGlinchey; William P Milberg
Journal:  Neurology       Date:  2018-07-27       Impact factor: 9.910

8.  Effects of Signal Type and Noise Background on Auditory Evoked Potential N1, P2, and P3 Measurements in Blast-Exposed Veterans.

Authors:  Melissa A Papesh; Alyssa A Stefl; Frederick J Gallun; Curtis J Billings
Journal:  Ear Hear       Date:  2021 Jan/Feb       Impact factor: 3.570

9.  A randomized clinical trial of plasticity-based cognitive training in mild traumatic brain injury.

Authors:  Henry W Mahncke; Joseph DeGutis; Harvey Levin; Mary R Newsome; Morris D Bell; Chad Grills; Louis M French; Katherine W Sullivan; Sarah-Jane Kim; Annika Rose; Catherine Stasio; Michael M Merzenich
Journal:  Brain       Date:  2021-08-17       Impact factor: 15.255

10.  Categorizing Sleep in Older Adults with Wireless Activity Monitors Using LSTM Neural Networks.

Authors:  Selda Yildiz; Ryan A Opel; Jonathan E Elliott; Jeffrey Kaye; Hung Cao; Miranda M Lim
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2019-07
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