Literature DB >> 26165425

Comparison of Cognitive Performance on the Cogstate Brief Battery When Taken In-Clinic, In-Group, and Unsupervised.

Jason A Cromer1, Brian T Harel, Karen Yu, Jaclyn S Valadka, Jack W Brunwin, Cameron D Crawford, Linda C Mayes, Paul Maruff.   

Abstract

OBJECTIVE: Repeat cognitive assessment comparing post-injury performance to a pre-injury baseline is common in concussion management. Although post-injury tests are typically administered in clinical settings, baseline tests may be conducted individually with one-on-one supervision, in a group with supervision, or without supervision. The extent to which these different test settings affect cognitive performance is not well understood. To assess if performance on the Cogstate Brief Battery (CBB) differs across these settings, tests completed individually with one-on-one supervision were compared to those taken either in a group with supervision or individually but without supervision.
METHOD: A crossover study design was utilized to account for any effect of individual variability or test order to provide an unbiased examination of the effect of test setting on cognitive performance. Young adult participants completed an individually supervised test either before or after also completing a group or unsupervised test.
RESULTS: CBB scores from the same individuals were not significantly different across test settings. Effect sizes ranged in magnitude from .09 to .12 for supervised versus unsupervised tests and from .01 to .37 for individual versus group tests across CBB tasks.
CONCLUSION: These results suggest that cognitive testing with the CBB in alternate settings can provide valid cognitive data comparable to data obtained during individually supervised testing.

Entities:  

Keywords:  Baseline testing; Cognition.; Computerized testing; Concussion; Group testing; Remote testing; Unsupervised testing

Mesh:

Year:  2015        PMID: 26165425     DOI: 10.1080/13854046.2015.1054437

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


  27 in total

1.  Validation of online functional measures in cognitively impaired older adults.

Authors:  Rachel L Nosheny; Monica R Camacho; Chengshi Jin; John Neuhaus; Diana Truran; Derek Flenniken; Miriam Ashford; Maria C Carrillo; Keith N Fargo; James Hendrix; Lucy Hanna; Gil Rabinovici; Paul Maruff; R Scott Mackin; Michael W Weiner
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2.  Posttraumatic stress disorder symptoms and cognitive function in a large cohort of middle-aged women.

Authors:  Jennifer A Sumner; Kaitlin Hagan; Fran Grodstein; Andrea L Roberts; Brian Harel; Karestan C Koenen
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3.  Total Sleep Time Interacts With Age to Predict Cognitive Performance Among Adults.

Authors:  Brian S Mohlenhoff; Philip S Insel; R Scott Mackin; Thomas C Neylan; Derek Flenniken; Rachel Nosheny; Anne Richards; Paul Maruff; Michael W Weiner
Journal:  J Clin Sleep Med       Date:  2018-09-15       Impact factor: 4.062

4.  Longitudinal Comparison of in Clinic and at Home Administration of the Cogstate Brief Battery and Demonstrated Practice Effects in the Mayo Clinic Study of Aging.

Authors:  N H Stricker; E S Lundt; E C Alden; S M Albertson; M M Machulda; W K Kremers; D S Knopman; R C Petersen; M M Mielke
Journal:  J Prev Alzheimers Dis       Date:  2020

5.  Computerized cognitive training for children with neurofibromatosis type 1: A pilot resting-state fMRI study.

Authors:  Yuliya N Yoncheva; Kristina K Hardy; Daniel J Lurie; Krishna Somandepalli; Lanbo Yang; Gilbert Vezina; Nadja Kadom; Roger J Packer; Michael P Milham; F Xavier Castellanos; Maria T Acosta
Journal:  Psychiatry Res Neuroimaging       Date:  2017-06-06       Impact factor: 2.376

6.  Cognitive Performance in Parkinson's Disease in the Brain Health Registry.

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7.  An Integrated Analysis of Clinical, Genomic, and Imaging Features Reveals Predictors of Neurocognitive Outcomes in a Longitudinal Cohort of Pediatric Cancer Survivors, Enriched with CNS Tumors (Rad ART Pro).

Authors:  Cassie Kline; Schuyler Stoller; Lennox Byer; David Samuel; Janine M Lupo; Melanie A Morrison; Andreas M Rauschecker; Pierre Nedelec; Walter Faig; Dena B Dubal; Heather J Fullerton; Sabine Mueller
Journal:  Front Oncol       Date:  2022-06-23       Impact factor: 5.738

8.  A Comparison of Cross-Sectional and Longitudinal Methods of Defining Objective Subtle Cognitive Decline in Preclinical Alzheimer's Disease Based on Cogstate One Card Learning Accuracy Performance.

Authors:  Shehroo B Pudumjee; Emily S Lundt; Sabrina M Albertson; Mary M Machulda; Walter K Kremers; Clifford R Jack; David S Knopman; Ronald C Petersen; Michelle M Mielke; Nikki H Stricker
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.472

9.  Machine learning approaches to predicting amyloid status using data from an online research and recruitment registry: The Brain Health Registry.

Authors:  Jack Albright; Miriam T Ashford; Chengshi Jin; John Neuhaus; Gil D Rabinovici; Diana Truran; Paul Maruff; R Scott Mackin; Rachel L Nosheny; Michael W Weiner
Journal:  Alzheimers Dement (Amst)       Date:  2021-06-09

10.  Developing Digital Tools for Remote Clinical Research: How to Evaluate the Validity and Practicality of Active Assessments in Field Settings.

Authors:  Jennifer Ferrar; Gareth J Griffith; Caroline Skirrow; Nathan Cashdollar; Nick Taptiklis; James Dobson; Fiona Cree; Francesca K Cormack; Jennifer H Barnett; Marcus R Munafò
Journal:  J Med Internet Res       Date:  2021-06-18       Impact factor: 5.428

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