MemTrax: a computerized continuous recognition task using in screening and monitoring for cognitive change

Ya ZHANG, Zhong PEI

Chinese Journal of Alzheimer's Disease and Related Disorders ›› 2025, Vol. 8 ›› Issue (3) : 200-206.

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Chinese Journal of Alzheimer's Disease and Related Disorders

Abbreviation (ISO4): Chinese Journal of Alzheimer's Disease and Related Disorders      Editor in chief: Jun WANG

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Chinese Journal of Alzheimer's Disease and Related Disorders ›› 2025, Vol. 8 ›› Issue (3) : 200-206. DOI: 10.3969/j.issn.2096-5516.2025.03.008
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MemTrax: a computerized continuous recognition task using in screening and monitoring for cognitive change

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Abstract

Cognitive impairment is the primary symptom of Alzheimer's disease (AD), manifesting as memory loss and changes in other cognitive functions. Currently, cognitive tools such as the mini-mental state examination (MMSE) and the montreal cognitive assessment (MoCA) are widely used to evaluate overall cognitive function in patients. However, these scales are time-consuming and require experienced clinicians to conduct face-to-face testing. This review aims to introduce MemTrax, a computerized continuous recognition task, and its application in cognitive assessment. In this test, subjects are required to complete a picture recognition task within approximately 90 seconds to assess their cognitive functions, mainly episodic memory, including memory processing, storage, retrieval, and reaction time.Previous studies have confirmed that its efficacy in identifying normal individuals, mild cognitive impairment (MCI), and AD patients is superior to MoCA. Moreover, combining with other biomarkers can further enhance its diagnostic efficacy, and it is also potential for assessment of treatment efficacy. Here we also introduce the application of MemTrax in various types of cognitive disorder diseases. Finally, this article proposes that MemTrax can be used as a digital tool to establish a systematic neuroscience database in the future, combining machine learning and other biomarkers to predict early dementia, as well as for large-scale cognitive screening and continuous cognitive monitoring.

Key words

Cognitive impairment / MemTrax / Episodic memory / Digital cognitive screening tools

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Ya ZHANG , Zhong PEI. MemTrax: a computerized continuous recognition task using in screening and monitoring for cognitive change[J]. Chinese Journal of Alzheimer's Disease and Related Disorders. 2025, 8(3): 200-206 https://doi.org/10.3969/j.issn.2096-5516.2025.03.008

References

[1]
2024 Alzheimer's disease facts and figures[J]. Alzheimers Dement, 2024, 20(5):3708-3821.
[2]
Ashford JW, Tarpin-Bernard F, Ashford CB, et al. A computerized continuous-recognition task for measurement of episodic memory[J]. J Alzheimers Dis, 2019, 69(2):385-399.
[3]
McDonough IM, Festini SB, Wood MM, et al. Risk for Alzheimer's disease: a review of long-term episodic memory encoding and retrieval fMRI studies[J]. Ageing Res Rev, 2020, 62: 101133.
[4]
Teng E, Manser PT, Shah M, et al. The use of episodic memory tests for screening in clinical trials for early Alzheimer's disease: a comparison of the free and cued selective reminding test (FCSRT) and the repeatable battery for the assessment of neuropsychological status (RBANS)[J]. J Prev Alzheimers Dis, 2023, 10(1): 41-49.
[5]
Ashford JW, Gere E, Bayley PJ, et al. Measuring memory in large group settings using a continuous recognition test[J]. J Alzheimers Dis, 2011, 27(4):885-895.
[6]
Ashford JW, Clifford JO, Bergeron MF, et al. Advancing screening for cognitive impairment: the memtrax continuous recognition test[J]. Aging (Albany NY), 2023, 15(12):5230-5231.
[7]
Clifford JO Jr, Anand S, Tarpin-Bernard F, et al. Episodic memory assessment: effects of sex and age on performance and response time during a continuous recognition task[J]. Front Hum Neurosci, 2024, 18:1304221.
[8]
Yonelinas AP, Otten LJ, Shaw KN, et al. Separating the brain regions involved in recollection and familiarity in recognition memory[J]. J Neurosci, 2005, 25(11):3002-3008.
[9]
Suzuki M, Johnson JD, Rugg MD, et al. Decrements in hippocampal activity with item repetition during continuous recognition: an fMRI study[J]. J Cogn Neurosci, 2011, 23(6):1522-1532.
[10]
Ashford JW, Clifford JO, Anand S, et al. Correctness and response time distributions in the MemTrax continuous recognition task: analysis of strategies and a reverse-exponential model[J]. Front Aging Neurosci, 2022, 14:1005298.
[11]
Mei Q, Li W, Feng H, et al. Chinese hospital staff in anxiety and depression: not only comfort patients but also should be comforted - a nationwide cross-sectional study[J]. J Affect Disord, 2024, 360:126-136.
[12]
Folstein MF, Folstein SE, McHugh PR, et al. "Mini-mental state" a practical method for grading the cognitive state of patients for the clinician[J]. J Psychiatr Res, 1975, 12(3):189-198.
[13]
Nasreddine ZS, Phillips NA, Bédirian V, et al. The montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment[J]. J Am Geriatr Soc, 2005, 53(4):695-699.
[14]
Lin JS, O'Connor E, Rossom RC, et al. Screening for cognitive impairment in older adults: an evidence update for the U.S. preventive services task force[R]. Rockville (MD): Agency for Healthcare Research and Quality (US), 2013: 14-05198-EF-1.
[15]
Zhou X, Ashford JW. Advances in screening instruments for Alzheimer's disease[J]. Aging Med (Milton), 2019, 2(2):88-93.
[16]
Fage BA, Chan CC, Gill SS, et al. Mini-cog for the detection of dementia within a community setting[J]. Cochrane Database Syst Rev, 2021, 7(7): CD010860.
[17]
Berg JL, Durant J, Léger GC, et al. Comparing the electronic and standard versions of the montreal cognitive assessment in an outpatient memory disorders clinic: a validation study[J]. J Alzheimers Dis, 2018, 62(1):93-97.
[18]
Wallace SE, Donoso Brown EV, Simpson RC, et al. A comparison of electronic and paper versions of the montreal cognitive assessment[J]. Alzheimer Dis Assoc Disord, 2019, 33(3):272-278.
[19]
Chan JYC, Bat BKK, Wong A, et al. Evaluation of digital drawing tests and paper-and-pencil drawing tests for the screening of mild cognitive impairment and dementia: a systematic review and meta-analysis of diagnostic studies[J]. Neuropsychol Rev, 2022,566-576.
[20]
Buckley RA, Atkins KJ, Fortunato E, et al. A novel digital clock drawing test as a screening tool for perioperative neurocognitive disorders: a feasibility study[J]. Acta Anaesthesiol Scand, 2021, 65(4):473-480.
[21]
Ehrensperger MM, Taylor KI, Berres M, et al. BrainCheck - a very brief tool to detect incipient cognitive decline: optimized case-finding combining patient- and informant-based data[J]. Alzheimers Res Ther, 2014, 6(9):69.
[22]
Groppell S, Soto-Ruiz KM, Flores B, et al. A rapid, mobile neurocognitive screening test to aid in identifying cognitive impairment and dementia (BrainCheck): cohort study[J]. JMIR Aging, 2019, 2(1):e12615.
[23]
Fredrickson J, Maruff P, Woodward M, et al. Evaluation of the usability of a brief computerized cognitive screening test in older people for epidemiological studies[J]. Neuroepidemiology, 2010, 34(2):65-75.
[24]
de Jager CA, Schrijnemaekers AC, Honey TE, et al. Detection of MCI in the clinic: evaluation of the sensitivity and specificity of a computerised test battery, the hopkins verbal learning test and the MMSE[J]. Age Ageing, 2009, 38(4):455-460.
[25]
Bloniecki V, Hagman G, Ryden M, et al. Digital screening for cognitive impairment - a proof of concept study[J]. J Prev Alzheimers Dis, 2021, 8(2):127-134.
[26]
Bloniecki V, Ulfvarson J, Javanshiri K, et al. The geras solutions cognitive test for assessing cognitive impairment: normative data from a population-based cohort[J]. J Prev Alzheimers Dis, 2023, 10(2):207-211.
[27]
Glenn JM, Bryk K, Myers JR, et al. The efficacy and practicality of the neurotrack cognitive battery assessment for utilization in clinical settings for the identification of cognitive decline in an older japanese population[J]. Front Aging Neurosci, 2023, 15:1206481.
[28]
Ashford MT, Aaronson A, Kwang W, et al. Unsupervised online paired associates learning task from the cambridge neuropsychological test automated battery (CANTAB®) in the brain health registry[J]. J Prev Alzheimers Dis, 2024, 11(2): 514-524.
[29]
Wong A, Fong CH, Mok VC, et al. Computerized cognitive screen (CoCoSc): a self-administered computerized test for screening for cognitive impairment in community social centers[J]. J Alzheimers Dis, 2017, 59(4):1299-1306.
[30]
Liu X, Chen X, Zhou X, et al. Validity of the memtrax memory test compared to the montreal cognitive assessment in the detection of mild cognitive impairment and dementia due to Alzheimer's disease in a chinese cohort[J]. J Alzheimers Dis, 2021, 80(3):1257-1267.
[31]
Bredesen DE. Reversal of cognitive decline: a novel therapeutic program[J]. Aging (Albany NY), 2014, 6(9):707-717.
[32]
Jack CR Jr, Bennett DA, Blennow K, et al. NIA-AA research framework: toward a biological definition of Alzheimer's disease[J]. Alzheimers Dement, 2018, 14(4):535-562.
[33]
Nakamura A, Kaneko N, Villemagne VL, et al. High performance plasma amyloid-β biomarkers for Alzheimer's disease[J]. Nature, 2018, 554(7691):249-254.
[34]
Chen W, Lin C, Su F, et al. Early diagnosis of mild cognitive impairment due to Alzheimer's disease using a composite of memtrax and blood biomarkers[J]. J Alzheimers Dis, 2023, 94(3):1093-1103.
[35]
O'Brien JT, Thomas A. Vascular dementia[J]. Lancet, 2015, 386(10004):1698-1706.
[36]
Bergeron MF, Landset S, Zhou X, et al. Utility of memtrax and machine learning modeling in classification of mild cognitive impairment[J]. J Alzheimers Dis, 2020, 77(4):1545-1558.
[37]
Zhao X, Dai S, Zhang R, et al. Using memtrax memory test to screen for post-stroke cognitive impairment after ischemic stroke: a cross-sectional study[J]. Front Hum Neurosci, 2023, 17:1195220.
[38]
Liu Y, Wu L, Chen W, et al. The memtrax memory test for detecting and assessing cognitive impairment in parkinson's disease[J]. Parkinsonism Relat Disord, 2024, 120: 106016.
[39]
Cholerton B, Weiner MW, Nosheny RL, et al. Cognitive performance in parkinson's disease in the brain health registry[J]. J Alzheimers Dis, 2019, 68(3):1029-1038.
[40]
Bergeron MF, Landset S, Tarpin-Bernard F, et al. Episodic-memory performance in machine learning modeling for predicting cognitive health status classification[J]. J Alzheimers Dis, 2019, 70(1):277-286.
[41]
van der Hoek MD, Nieuwenhuizen A, Keijer J, et al. The memtrax test compared to the montreal cognitive assessment estimation of mild cognitive impairment[J]. J Alzheimers Dis, 2019, 67(3):1045-1054.
[42]
Liu W, Yu L, Deng Q, et al. Toward digitally screening and profiling AD: a GAMLSS approach of memtrax in china[J]. Alzheimers Dement, 2024, 20(1):399-409.
[43]
Weiner MW, Aaronson A, Eichenbaum J, et al. Brain health registry updates: an online longitudinal neuroscience platform[J]. Alzheimers Dement, 2023, 19(11):4935-4951.
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