Clinical predictors of Alzheimer's disease‐like brain atrophy in individuals with memory complaints
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Le résumé fourni par la source
OBJECTIVES: The definition and assessment methods for subjective cognitive decline (SCD) vary among studies. We aimed to investigate which features or assessment methods of SCD best predict Alzheimer's disease (AD)-related structural atrophy patterns. METHODS: We assessed 104 individuals aged 55+ with memory complaints but normal cognitive screening. Our research questions were as follows: To improve the prediction of AD related morphological changes, (1) Would the use of a standardized cognitive screening scale be beneficial? (2) Is conducting a thorough neuropsychological evaluation necessary instead of relying solely on cognitive screening tests? (3) Should we apply SCD-plus research criteria, and if so, which criterion would be the most effective? (4) Is it necessary to consider medical and psychiatric comorbidities, vitamin deficiencies, vascular burden on MRI, and family history? We utilized Freesurfer to analyze cortical thickness and regional brain volume meta-scores linked to AD or predicting its development. We employed multiple linear regression models for each variable, with morphology as the dependent variable. RESULTS: AD-like morphology was associated with subjective complaints in males, individuals with advanced age, and higher education. Later age of onset for complaints, complaints specifically related to memory, excessive deep white matter vascular lesions, and using medications that have negative implications for cognitive health (according to the Beers criteria) were predictive of AD-related morphology. The subjective cognitive memory questionnaire scores were found to be a better predictor of reduced volumes than a single-question assessment. It is important to note that not all SCD-plus criteria were evaluated in this study, particularly the APOE genotype, amyloid, and tau status, due to resource limitations. CONCLUSIONS: The detection of AD-related structural changes is impacted by demographics and assessment methods. Standardizing SCD assessment methods can enhance predictive accuracy.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Clinical predictors of Alzheimer's disease‐like brain atrophy in individuals with memory complaints
- Date Crossref
- 30/04/2024
- Éditeur
- Wiley
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Hitit Üniversitesi pays non établi dans la noticeUniversité ou école supérieure
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Koç University Research Center for Translational Medicine pays non établi dans la noticeUniversité ou école supérieure
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State Hospital Department of Psychiatry pays non établi dans la noticeÉtablissement de santé
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Zonguldak Bülent Ecevit University pays non établi dans la noticeUniversité ou école supérieure
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Sivas State Hospital pays non établi dans la noticeÉtablissement de santé
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Ufuk University Department of Psychology pays non établi dans la noticeUniversité ou école supérieure
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Hacettepe University Department of Radiology pays non établi dans la noticeUniversité ou école supérieure
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Izmir Kâtip Çelebi University pays non établi dans la noticeUniversité ou école supérieure
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Department of Psychiatry Hitit University Faculty of Medicine Çorum Turkey pays non établi dans la noticeUniversité ou école supérieure
Hitit Üniversitesi, Research Center for Translational Medicine — Koç University et Department of Psychiatry — State Hospital, avec 6 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.