cCOG : a web‐based cognitive test tool for detecting neurodegenerative disorders

Rhodius-Meester, Hanneke F.M.; Paajanen, Teemu; Koikkalainen, Juha; Mahdiani, Shadi; Bruun, Marie; Baroni, Marta; Lemstra, Afina W.; Scheltens, Philip; Herukka, Sanna-Kaisa; Pikkarainen, Maria; Hall, Anette; Hänninen, Tuomo; Ngandu, Tiia; Kivipelto, Miia; van Gils, Mark; Hasselbalch, Steen Gregers; Mecocci, Patrizia; Remes, Anne; Soininen, Hilkka; van der Flier, Wiesje M.; Lötjönen, Jyrki (2020-08-25)
 
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URL:
https://doi.org/10.1002/dad2.12083

Rhodius-Meester, Hanneke F.M.
Paajanen, Teemu
Koikkalainen, Juha
Mahdiani, Shadi
Bruun, Marie
Baroni, Marta
Lemstra, Afina W.
Scheltens, Philip
Herukka, Sanna-Kaisa
Pikkarainen, Maria
Hall, Anette
Hänninen, Tuomo
Ngandu, Tiia
Kivipelto, Miia
van Gils, Mark
Hasselbalch, Steen Gregers
Mecocci, Patrizia
Remes, Anne
Soininen, Hilkka
van der Flier, Wiesje M.
Lötjönen, Jyrki
Elsevier
25.08.2020

Rhodius‐Meester, HFM, Paajanen, T, Koikkalainen, J, et al. cCOG: A web‐based cognitive test tool for detecting neurodegenerative disorders. Alzheimer’s Dement. 2020; 12:e12083. https://doi.org/10.1002/dad2.12083

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© 2020 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, Inc. on behalf of Alzheimer's Association. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
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doi:https://doi.org/10.1002/dad2.12083
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Abstract

Introduction: Web‐based cognitive tests have potential for standardized screening in neurodegenerative disorders. We examined accuracy and consistency of cCOG, a computerized cognitive tool, in detecting mild cognitive impairment (MCI) and dementia.

Methods: Clinical data of 306 cognitively normal, 120 mild cognitive impairment (MCI), and 69 dementia subjects from three European cohorts were analyzed. Global cognitive score was defined from standard neuropsychological tests and compared to the corresponding estimated score from the cCOG tool containing seven subtasks. The consistency of cCOG was assessed comparing measurements administered in clinical settings and in the home environment.

Results: cCOG produced accuracies (receiver operating characteristic‐area under the curve [ROC‐AUC]) between 0.71 and 0.84 in detecting MCI and 0.86 and 0.94 in detecting dementia when administered at the clinic and at home. The accuracy was comparable to the results of standard neuropsychological tests (AUC 0.69–0.77 MCI/0.91–0.92 dementia).

Conclusions: cCOG provides a promising tool for detecting MCI and dementia with potential for a cost‐effective approach including home‐based cognitive assessments.

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