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. 2018;64(2):533-542.
doi: 10.3233/JAD-180199.

Combining Cognitive, Genetic, and Structural Neuroimaging Markers to Identify Individuals with Increased Dementia Risk

Nicola M Payton  1 , Grégoria Kalpouzos  1 , Debora Rizzuto  1 , Laura Fratiglioni  1   2 , Miia Kivipelto  3   4 , Lars Bäckman  1 , Erika J Laukka  1   2
Affiliations

Combining Cognitive, Genetic, and Structural Neuroimaging Markers to Identify Individuals with Increased Dementia Risk

Nicola M Payton et al. J Alzheimers Dis. 2018.

Abstract

Background: Cognitive and biological markers have shown varying degrees of success in identifying persons who will develop dementia.

Objective: To evaluate different combinations of cognitive and biological markers and identify prediction models with the highest accuracy for identifying persons with increased dementia risk.

Methods: Neuropsychological assessment, genetic testing (apolipoprotein E -APOE), and structural magnetic resonance imaging (MRI) were performed for 418 older individuals without dementia (60-97 years) from a population-based study (SNAC-K). Participants were followed for six years.

Results: Cognitive, genetic, and MRI markers were systematically combined to create prediction models for dementia at six years. The most predictive individual markers were perceptual speed or carrying at least one APOEɛ4 allele (AUC = 0.875). The most predictive model (AUC = 0.924) included variables from all three modalities (category fluency, general knowledge, any ɛ4 allele, hippocampal volume, white matter-hyperintensity volume).

Conclusion: This study shows that combining markers within and between modalities leads to increased predictivity for future dementia. However, minor increases in predictive value should be weighed against the cost of additional tests in larger-scale screening.

Keywords: Biomarkers; cognition; neuroimaging; preclinical dementia; prediction.

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Figures

Fig. 1
Fig. 1
Flowchart of study participants.
See this image and copyright information in PMC

References

    1. Dubois B, Hampel H, Feldman HH, Scheltens P, Aisen P, Andrieu S, Bakardjian H, Benali H, Bertram L, Blennow K (2016) Preclinical Alzheimer’s disease: Definition, natural history, and diagnostic criteria. Alzheimers Dement 12, 292–323. - PMC - PubMed
    1. Boraxbekk CJ, Lundquist A, Nordin A, Nyberg L, Nilsson LG, Adolfsson R (2015) Free Recall episodic memory performance predicts dementia ten years prior to clinical diagnosis: Findings from the Betula Longitudinal Study. Dement Geriatr Cogn Dis Extra 5, 191–202. - PMC - PubMed
    1. Elias MF, Beiser A, Wolf PA, Au R, White RF, D’Agostino RB (2000) The preclinical phase of Alzheimer disease: A 22-year prospective study of the Framingham cohort. Arch Neurol 57, 808–813. - PubMed
    1. Bäckman L, Jones S, Berger A-K, Laukka EJ, Small BJ (2005) Cognitive impairment in preclinical Alzheimer’s disease: A meta-analysis. Neuropsychology 19, 520–531. - PubMed
    1. Economou A, Papageorgiou SG, Karageorgiou C, Vassilopoulos D (2007) Nonepisodic memory deficits in amnestic MCI. Cogn Behav Neurol 20, 99–106. - PubMed

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