Utility of the iPad NIH Toolbox Cognition Battery in a clinical trial of older adults
Open accessAbstract
Background: To demonstrate feasibility and utility of the iPad version of the NIH Toolbox Cognition Battery (NIHTB‐CB) in a clinical trial of older adults. Methods: Fifty‐one adults, aged 55 and older without dementia were tested twice on NIHTB‐CB and more traditional paper‐and‐pencil neuropsychological measures after meal ingestion, with approximately a 4‐week interval. We also compared performances at Time 1 and Time 2 for significant change. We also extracted the response times and errors for available NIHTB‐CB subtests to determine subtle changes in performance. Results: Over the interval, improvement in fluid cognitive measures was noted at Time 2 ( t = −3.07, p = 0.004), whereas crystallized measures were unchanged. Tests of fluid cognition negatively correlated with age, particularly for the second visit. Analysis of the average speed per item showed that, for two of the tests, speed increased at Time 2. Traditional neuropsychological tests correlated with many of the NIHTB‐CB measures. Response times for all five timed tests decreased at Time 2, although only statistically significant for Picture Sequence and Picture Vocabulary. Conclusions: The iPad version of the NIH Toolbox Cognition Battery appears to be an adequate measure to assess cognitive functioning in a clinical trial of older adults. Psychometric analyses suggest stability in measures of crystallized functioning, whereas measures of fluid abilities revealed improvements over the short time frame of the study. Response times and errors for individual tests revealed intriguing relationships that should be further evaluated to determine the utility in clinical sample analysis, as this could aid identification of subtle cognitive change over short periods. Additional studies with larger sample sizes will be helpful to understanding the reliability, sensitivity, and specificity of the NIHTB‐CB sub‐scores in older adults. In addition, further evaluations with clinical populations, including individuals with cognitive impairment, are warranted.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Prior studies found a small 2.7-point gain on the Fluid Cognition Composite standard scores with 3-5 weeks between administrations, but no practice effects with 15 months between administrations.
“Findings revealed a small 2.7-point gain with 3–5 weeks between administrations [44], yet no practice effects with 15 months between administrations [45].”
From Primary outcome from the augmenting cognitive training in older adults study (ACT): A tDCS and cognitive training randomized clinical trial (2023) · cites this paper as [44]
The Results > Test-Retest Characteristics section reports a significant increase in Fluid Composite scores between visits averaging 28.4 days apart, consistent with a gain after roughly four weeks. Our copy does not give the claimed 2.7-point gain. The 15-month finding is attached to a different citation in the citing sentence and is not judged here; page numbers are unavailable in our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Cognition assessment using the NIH Toolbox
Weintraub, S., Dikmen, S. S., Heaton, R. K., Tulsky, D. S., Zelazo, P. D., Bauer, P. J., Carlozzi, N. E., Slotkin, J., Blitz, D., Wallner-Allen, K., et al. (2013) · Neurology · doi:10.1212/wnl.0b013e3182872ded · Cited by 1,287 · see citing works
Status of computerized cognitive testing in aging: a systematic review
Wild, K., Howieson, D., Webbe, F., Seelye, A., & Kaye, J. (2008) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2008.07.003 · Cited by 436 · see citing works
NIH Toolbox Cognitive Battery (NIHTB-CB): The NIHTB Pattern Comparison Processing Speed Test
Carlozzi, N. E., Tulsky, D. S., Chiaravalloti, N. D., Beaumont, J. L., Weintraub, S., Conway, K., & Gershon, R. C. (2014) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617714000319 · Cited by 107 · see citing works
Scott, E. P., Sorrell, A., & Benitez, A. (2019) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617719000614 · Cited by 69 · see citing works
Flagged first, then by citations
Research works printed but not linked: 22
- [2]Sternin A, Burns A, Owen AM. Thirty-Five Years of Computerized Cognitive Assessment of Aging-Where Are We Now? Diagnostics (Basel). 9 6 2019; 9(3). PMC6787729 31489940
- [3]Bauer RM, Iverson GL, Cernich AN, Binder LM, Ruff RM, Naugle RI. Computerized neuropsychological assessment devices: joint position paper of the American Academy of Clinical Neuropsychology and the National Academy of Neuropsychology. Archives of clinical neuropsychology: the official journal of the National Academy of Neuropsychologists. 5 2012; 27(3): 362– 373. 22382386 PMC3499090
- [4]Parsey CM, Schmitter-Edgecombe M. Applications of technology in neuropsychological assessment. The Clinical neuropsychologist. 2013; 27(8): 1328– 1361. 24041037 PMC3869883
- [5]Gershon RC, Wagster MV, Hendrie HC, Fox NA, Cook KF, Nowinski CJ. NIH toolbox for assessment of neurological and behavioral function. Neurology. 3 12 2013; 80(11 Suppl 3): S2– 6. 23479538 PMC3662335
- [8]Brearly TW, Rowland JA, Martindale SL, Shura RD, Curry D, Taber KH. Comparability of iPad and Web-Based NIH Toolbox Cognitive Battery Administration in Veterans. Archives of clinical neuropsychology: the official journal of the National Academy of Neuropsychologists. 6 1 2019; 34(4): 524– 530. 30260372 PMC9586718
- [9]Dunbar KE, Raboy AL, Kirby ZM, Taylor PL, Roy MJ. Distinguishing the Relative Impact of Post-Traumatic Stress Disorder and Traumatic Brain Injury on iPad-Measured Cognitive Function. Cyberpsychology, behavior and social networking. 12 2019; 22(12): 761– 765. 31841649
- [10]Rentz DM, Dekhtyar M, Sherman J, The Feasibility of At-Home iPad Cognitive Testing For Use in Clinical Trials. The journal of prevention of Alzheimer’s disease. 3 2016; 3(1): 8– 12. PMC4795477 26998469
- [11]Buckley RF, Sparks KP, Papp KV, Computerized Cognitive Testing for Use in Clinical Trials: A Comparison of the NIH Toolbox and Cogstate C3 Batteries. The journal of prevention of Alzheimer’s disease. 2017; 4(1): 3– 11. PMC5726304 29188853
- [12]Teng EL, Chui HC. The Modified Mini-Mental State (3MS) examination. The Journal of clinical psychiatry. 8 1987; 48(8): 314– 318. 3611032
- [13]Heaton RK, Akshoomoff N, Tulsky D, Reliability and validity of composite scores from the NIH Toolbox Cognition Battery in adults. Journal of the International Neuropsychological Society: JINS. 7 2014; 20(6): 588– 598. 24960398 PMC4103963
- [14]Chen BT, Sethi SK, Jin T, Assessing brain volume changes in older women with breast cancer receiving adjuvant chemotherapy: a brain magnetic resonance imaging pilot study. Breast cancer research: BCR. 5 2 2018; 20(1): 38. 29720224 PMC5932862
- [15]Chen BT, Ye N, Wong CW, Effects of chemotherapy on aging white matter microstructure: A longitudinal diffusion tensor imaging study. Journal of geriatric oncology. 3 2020; 11(2): 290– 296. 31685415 PMC7054164
- [16]Cohen ML, Tulsky DS, Holdnack JA, Cognition among community-dwelling individuals with spinal cord injury. Rehabilitation psychology. 11 2017; 62(4): 425– 434. 29265863 PMC5745049
- [17]Weintraub S, Dikmen SS, Heaton RK, The cognition battery of the NIH toolbox for assessment of neurological and behavioral function: validation in an adult sample. Journal of the International Neuropsychological Society: JINS. 7 2014; 20(6): 567– 578. 24959840 PMC4103959
- [18]Hackett K, Krikorian R, Giovannetti T, Utility of the NIH Toolbox for assessment of prodromal Alzheimer’s disease and dementia. Alzheimers Dement (Amst). 2018; 10: 764– 772. 30505926 PMC6247399
- [19]Mungas D, Heaton R, Tulsky D, Factor structure, convergent validity, and discriminant validity of the NIH Toolbox Cognitive Health Battery (NIHTB-CHB) in adults. Journal of the International Neuropsychological Society: JINS. 7 2014; 20(6): 579– 587. 24960474 PMC4103956
- [20]Carlozzi NE, Beaumont JL, Tulsky DS, Gershon RC. The NIH Toolbox Pattern Comparison Processing Speed Test: Normative Data. Archives of clinical neuropsychology: the official journal of the National Academy of Neuropsychologists. 8 2015; 30(5): 359– 368. 26025230 PMC4542749
- [22]Zelazo PD, Anderson JE, Richler J, NIH Toolbox Cognition Battery (CB): validation of executive function measures in adults. Journal of the International Neuropsychological Society: JINS. 7 2014; 20(6): 620– 629. 24960301 PMC4601803
- [23]Tulsky DS, Carlozzi N, Chiaravalloti ND, NIH Toolbox Cognition Battery (NIHTB-CB): list sorting test to measure working memory. Journal of the International Neuropsychological Society: JINS. 7 2014; 20(6): 599– 610. 24959983 PMC4426848
- [24]Wierenga CE, Clark LR, Dev SI, Interaction of age and APOE genotype on cerebral blood flow at rest. Journal of Alzheimer’s disease: JAD. 2013; 34(4): 921– 935. PMC4124882 23302659
- [25]Zlatar ZZ, Bischoff-Grethe A, Hays CC, Higher Brain Perfusion May Not Support Memory Functions in Cognitively Normal Carriers of the ApoE epsilon4 Allele Compared to Non-Carriers. Frontiers in aging neuroscience. 2016; 8: 151. 27445794 PMC4919360
- [26]Craft S, Asthana S, Cook DG, Insulin dose-response effects on memory and plasma amyloid precursor protein in Alzheimer’s disease: interactions with apolipoprotein E genotype. Psychoneuroendocrinology. 8 2003; 28(6): 809– 822. 12812866
Cited by
Sorted by citations
Hausman, H. K., Alexander, G. E., Cohen, R., Marsiske, M., DeKosky, S. T., Hishaw, G. A., O'Shea, A., Kraft, J. N., Dai, Y., Wu, S., et al. (2023) · Brain Stimulation · doi:10.1016/j.brs.2023.05.021 · Cited by 13 · see citing works
- Authors
- Parsey, C. M., Bagger, J. E., Trittschuh, E. H., & Hanson, A. J.
- Affiliations
- University of Washington (US)
- Corresponding author
- Hanson, Angela J.
- Venue
- Journal of the American Geriatrics Society
- Publisher
- Wiley
- Published
- 2021-08-03
- Volume
- 69
- Issue
- 12
- Pages
- 3519-3528
- ISSN
- 0002-8614 (ISSN-L)
- 1532-5415
- PMC
- PMC8648969
- OpenAlex
- W3190267294
- Cited by
- 14
- References
- 4
- Citations by year
- 2025: 3 · 2024: 3 · 2023: 4 · 2022: 4
- FWCI
- 1.97
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of the American Geriatrics Society (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (K23AG047978)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Psychology › Clinical Psychology › Historical and Modern Theater Studies
- Keywords
- NIH Toolbox Cognition Battery, older adults, fluid intelligence, crystallized intelligence, reaction time (psychology), test-retest stability, neuropsychological measures, clinical trial feasibility
- MeSH terms
- Aged, Cognition Disorders, Female, Humans, Male, Middle Aged, Neuropsychological Tests, Psychometrics, Reaction Time, User-Computer Interface, Reproducibility of Results, Geriatric Assessment, Computers, Handheld
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review