4.5 Article

Executive and Language Subjective Cognitive Decline Complaints Discriminate Preclinical Alzheimer's Disease from Normal Aging

Journal

JOURNAL OF ALZHEIMERS DISEASE
Volume 61, Issue 2, Pages 689-703

Publisher

IOS PRESS
DOI: 10.3233/JAD-170627

Keywords

Alzheimer's disease; amyloid-beta; biomarkers; preclinical Alzheimer's disease; subjective cognitive decline

Categories

Funding

  1. Spanish Ministry of Science
  2. Miguel Servet grant from the Spanish Ministry of Science [CP2/00023]
  3. Fondo europeo de desarrollo regional, una manera de hacer Europa [FIS PI11/01071]

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Background: There is a need to specify the profile of subjective cognitive decline in preclinical Alzheimer's disease (preAD). Objectives: To explore specific items of the Subjective Cognitive Decline Questionnaire (SCD-Q) that discriminate preAD from normal aging. Methods: 68 cognitively normal older adults were classified as controls (n = 52) or preAD (n = 16) according to amyloid-beta (A beta) levels. An exploratory factor analysis and item analysis of the SCD-Q were performed. Informant reports of the SCD-Q were used to corroborate the findings of self-reports. One-year neuropsychological follow-up was available. Results: Four SCD-Q factors were extracted: EM-factor (episodic memory), A-factor (attention), O-factor (organization), and L-factor (language). PreAD reported a significantly higher decline in L-factor (F(1) = 6.49; p = 0.014) and A-factor (F(1) = 4.04; p = 0.049) compared to controls, and showed a higher frequency of perceived decline in SCD-Q items related with language and executive tasks (Sig-items.) Significant discriminative powers for A beta-positivity were found for L-factor (AUC= 0.75; p = 0.003) and A-factor (AUC= 0.74; p = 0.004). Informants in the preAD group confirmed significantly higher scores in L-factor and Sig-items. A significant timexgroup interaction was found in the Semantic Fluency and Stroop tests, with the preAD group showing a decrease in performance at one-year. Conclusions: Our results suggest that SCD-Q items related with language and executive decline may help in prediction algorithms to detect preAD. Validation in an independent population is needed.

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