Subjective cognitive decline predicts longitudinal neuropsychological test performance in an unsupervised online setting in the Brain Health Registry

Jack CR Jr, Bennett DA, Blennow K, Carrillo MC, Dunn B, Haeberlein SB, et al. NIA-AA research framework: toward a biological definition of Alzheimer’s disease. Alzheimer’s Dement. 2018;14(4):535–62.

Article  Google Scholar 

Nordberg A. PET imaging of amyloid in Alzheimer’s disease. Lancet Neurol. 2004;3(9):519–27.

Article  PubMed  Google Scholar 

Landau S, Thomas B, Thurfjell L, Schmidt M, Margolin R, Mintun M, et al. Amyloid PET imaging in Alzheimer’s disease: a comparison of three radiotracers. Eur J Nucl Med Mol Imaging. 2014;41:1398–407.

Article  PubMed  PubMed Central  Google Scholar 

Saint-Aubert L, Lemoine L, Chiotis K, Leuzy A, Rodriguez-Vieitez E, Nordberg A. Tau PET imaging: present and future directions. Mol Neurodegeneration. 2017;12:1–21.

Article  Google Scholar 

Bischof GN, Dodich A, Boccardi M, van Eimeren T, Festari C, Barthel H, et al. Clinical validity of second-generation tau PET tracers as biomarkers for Alzheimer’s disease in the context of a structured 5-phase development framework. Eur J Nucl Med Mol Imaging. 2021;48(7):2110–20.

Article  PubMed  PubMed Central  Google Scholar 

Olsson B, Lautner R, Andreasson U, Öhrfelt A, Portelius E, Bjerke M, et al. CSF and blood biomarkers for the diagnosis of Alzheimer’s disease: a systematic review and meta-analysis. Lancet Neurol. 2016;15(7):673–84.

Article  PubMed  Google Scholar 

Hansson O, Blennow K, Zetterberg H, Dage J. Blood biomarkers for Alzheimer’s disease in clinical practice and trials. Nat Aging. 2023;3(5):506–19.

Article  PubMed  PubMed Central  Google Scholar 

Cummings J. Anti-amyloid monoclonal antibodies are transformative treatments that redefine Alzheimer’s disease therapeutics. Drugs. 2023;83(7):569–76.

Article  PubMed  PubMed Central  Google Scholar 

Chen L, Zhen W, Peng D. Research on digital tool in cognitive assessment: a bibliometric analysis. Front Psychiatry. 2023;14:1227261.

Article  PubMed  PubMed Central  Google Scholar 

Watt JA, Lane NE, Veroniki AA, Vyas MV, Williams C, Ramkissoon N, et al. Diagnostic accuracy of virtual cognitive assessment and testing: systematic review and meta-analysis. J Am Geriatr Soc. 2021;69(6):1429–40.

Article  PubMed  Google Scholar 

Nosheny RL, Yen D, Howell T, Camacho M, Moulder K, Gummadi S, et al. Evaluation of the Electronic Clinical Dementia Rating for Dementia Screening. JAMA Netw Open. 2023;6(9):e2333786.

Article  PubMed  PubMed Central  Google Scholar 

Snowdon A, Hussein A, Kent R, Pino L, Hachinski V. Comparison of an electronic and paper-based Montreal Cognitive Assessment Tool. Alzheimer Disease Assoc Disorders. 2015;29(4):325–9.

Article  Google Scholar 

Cormack FK, Morris H, Barnett JH, Housden C, P1-504: CANTAB MOBILE: EXPERIENCE OF USE OF A DIGITAL MEMORY ASSESSMENT TOOL IN UK PRIMARY CARE. Alzheimer’s Dement. 2018;14(7SPart9):P522–3.

Google Scholar 

Backx R, Skirrow C, Dente P, Barnett JH, Cormack FK. Comparing web-based and lab-based cognitive assessment using the Cambridge Neuropsychological Test Automated Battery: a within-subjects counterbalanced study. J Med Internet Res. 2020;22(8):e16792.

Article  PubMed  PubMed Central  Google Scholar 

Cromer JA, Harel BT, Yu K, Valadka JS, Brunwin JW, Crawford CD, et al. Comparison of cognitive performance on the Cogstate brief battery when taken in-clinic, in-group, and unsupervised. Clin Neuropsychol. 2015;29(4):542–58.

Article  PubMed  Google Scholar 

Koo BM, Vizer LM. Mobile Technology for Cognitive Assessment of older adults: a scoping review. Innov Aging. 2019;3(1).

Öhman F, Hassenstab J, Berron D, Schöll M, Papp KV. Current advances in digital cognitive assessment for preclinical Alzheimer’s disease. Alzheimer’s Dementia: Diagnosis Assess Disease Monit. 2021;13(1):e12217.

Google Scholar 

Aisen PS, Cummings J, Jack CR, Morris JC, Sperling R, Frölich L, et al. On the path to 2025: understanding the Alzheimer’s disease continuum. Alzheimers Res Ther. 2017;9(1):60.

Article  PubMed  PubMed Central  Google Scholar 

Blackwell AD, Sahakian BJ, Vesey R, Semple JM, Robbins TW, Hodges JR. Detecting dementia: novel neuropsychological markers of preclinical Alzheimer’s disease. Dement Geriatr Cogn Disord. 2003;17(1–2):42–8.

PubMed  Google Scholar 

Fowler KS, Saling MM, Conway EL, Semple JM, Louis WJ. Paired associate performance in the early detection of DAT. J Int Neuropsychol Soc. 2002;8(1):58–71.

Article  PubMed  Google Scholar 

Égerházi A, Berecz R, Bartók E, Degrell I. Automated neuropsychological test battery (CANTAB) in mild cognitive impairment and in Alzheimer’s disease. Prog Neuropsychopharmacol Biol Psychiatry. 2007;31(3):746–51.

Article  PubMed  Google Scholar 

Junkkila J, Oja S, Laine M, Karrasch M. Applicability of the CANTAB-PAL computerized memory test in identifying amnestic mild cognitive impairment and Alzheimer’s disease. Dement Geriatr Cogn Disord. 2012;34(2):83–9.

Article  PubMed  Google Scholar 

Chandler JM, Marsico M, Harper-Mozley L, Vogt R, Peng Y, Lesk V, et al. P3-111: cognitive assessment: discrimination of impairment and detection of decline in Alzheimer’s disease and mild cognitive impairment. Alzheimer’s Dement. 2008;4(4SPart17):T551–2.

Google Scholar 

Mitchell J, Arnold R, Dawson K, Nestor PJ, Hodges JR. Outcome in subgroups of mild cognitive impairment (MCI) is highly predictable using a simple algorithm. J Neurol. 2009;256(9):1500–9.

Article  PubMed  Google Scholar 

Nathan PJ, Lim YY, Abbott R, Galluzzi S, Marizzoni M, Babiloni C, et al. Association between CSF biomarkers, hippocampal volume and cognitive function in patients with amnestic mild cognitive impairment (MCI). Neurobiol Aging. 2017;53:1–10.

Article  PubMed  Google Scholar 

de Rover M, Pironti VA, McCabe JA, Acosta-Cabronero J, Arana FS, Morein-Zamir S, et al. Hippocampal dysfunction in patients with mild cognitive impairment: a functional neuroimaging study of a visuospatial paired associates learning task. Neuropsychologia. 2011;49(7):2060–70.

Article  PubMed  Google Scholar 

Pettigrew C, Soldan A, Brichko R, Zhu Y, Wang M-C, Kutten K et al. Computerized paired associate learning performance and imaging biomarkers in older adults without dementia. Brain Imaging Behav. 2022;16(2):921–9.

Weiner MW, Aaronson A, Eichenbaum J, Kwang W, Ashford MT, Gummadi S, et al. Brain health registry updates: an online longitudinal neuroscience platform. Alzheimer’s Dementia. 2023;19(11):4935–51.

Ashford MT, Aaronson A, Kwang W, Eichenbaum J, Gummadi S, Jin C, et al. Unsupervised online Paired associates Learning Task from the Cambridge Neuropsychological Test Automated Battery (CANTAB®) in the Brain Health Registry. J Prev Alzheimer’s Disease. 2024;11(2):514–24.

Google Scholar 

Jessen F, Amariglio RE, Buckley RF, van der Flier WM, Han Y, Molinuevo JL, et al. The characterisation of subjective cognitive decline. Lancet Neurol. 2020;19(3):271–8.

Article  PubMed  PubMed Central  Google Scholar 

Farias ST, Mungas D, Reed BR, Cahn-Weiner D, Jagust W, Baynes K, et al. The measurement of everyday cognition (ECog): scale development and psychometric properties. Neuropsychology. 2008;22(4):531.

Article  PubMed  PubMed Central  Google Scholar 

A Marshall G, Zoller S, E Kelly A, Amariglio KE, Locascio RJ, Johnson JA. Everyday cognition scale items that best discriminate between and predict progression from clinically normal to mild cognitive impairment. Curr Alzheimer Res. 2014;11(9):853–61.

Article  PubMed  Google Scholar 

Farias ST, Mungas D, Harvey DJ, Simmons A, Reed BR, DeCarli C. The measurement of everyday cognition: development and validation of a short form of the Everyday Cognition scales. Alzheimer’s Dement. 2011;7(6):593–601.

Article  Google Scholar 

Rueda AD, Lau KM, Saito N, Harvey D, Risacher SL, Aisen PS, et al. Self-rated and informant-rated everyday function in comparison to objective markers of Alzheimer’s disease. Alzheimer’s Dement. 2015;11(9):1080–9.

Article  Google Scholar 

van Harten AC, Mielke MM, Swenson-Dravis DM, Hagen CE, Edwards KK, Roberts RO, et al. Subjective cognitive decline and risk of MCI: the Mayo Clinic Study of Aging. Neurology. 2018;91(4):e300–12.

PubMed  PubMed Central  Google Scholar 

Howell T, Neuhaus J, Glymour MM, Weiner MW, Nosheny RL, Initiative ADN. Validity of online versus in-clinic self-reported everyday cognition scale. J Prev Alzheimer’s Disease. 2022;9(2):269–76.

Google Scholar 

Nosheny RL, Camacho MR, Jin C, Neuhaus J, Truran D, Flenniken D, et al. Validation of online functional measures in cognitively impaired older adults. Alzheimer’s Dement. 2020;16(10):1426–37.

Article  Google Scholar 

Amariglio RE, Mormino EC, Pietras AC, Marshall GA, Vannini P, Johnson KA, et al. Subjective cognitive concerns, amyloid-β, and neurodegeneration in clinically normal elderly. Neurology. 2015;85(1):56–62.

Article  PubMed  PubMed Central  Google Scholar 

Liew TM. Trajectories of subjective cognitive decline, and the risk of mild cognitive impairment and dementia. Alzheimers Res Ther. 2020;12(1):135.

留言 (0)

沒有登入
gif