Cargando…
Prediction of Alzheimer's Pathological Changes in Subjective Cognitive Decline Using the Self-report Questionnaire and Neuroimaging Biomarkers
BACKGROUND AND PURPOSE: Subjective cognitive decline (SCD) may be the first symptomatic stage of Alzheimer's disease (AD). Hence, a screening tool to characterize the patients' complaints and assess the risk of AD is required. We investigated the SCD neuroimaging biomarker distributions an...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Dementia Association
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6494779/ https://www.ncbi.nlm.nih.gov/pubmed/31097969 http://dx.doi.org/10.12779/dnd.2019.18.1.19 |
_version_ | 1783415270187991040 |
---|---|
author | Hong, Yun Jeong Park, Kyung Won Kang, Do-Young Lee, Jae-Hong |
author_facet | Hong, Yun Jeong Park, Kyung Won Kang, Do-Young Lee, Jae-Hong |
author_sort | Hong, Yun Jeong |
collection | PubMed |
description | BACKGROUND AND PURPOSE: Subjective cognitive decline (SCD) may be the first symptomatic stage of Alzheimer's disease (AD). Hence, a screening tool to characterize the patients' complaints and assess the risk of AD is required. We investigated the SCD neuroimaging biomarker distributions and the relevance between the self-report questionnaire and Alzheimer's pathologic changes. METHODS: Individuals aged 50 and above with consistent cognitive complaints without any objective cognitive impairments were eligible for the study. The newly developed questionnaire consisted of 2 parts; 10 questions translated from the ‘SCD-plus criteria’ and a Korean version of the cognitive failure questionnaire by Broadbent. All the subjects underwent physical examinations such as blood work, detailed neuropsychological tests, the self-report questionnaire, brain magnetic resonance imagings, and florbetaben positron emission tomography (PET) scans. Amyloid PET findings were interpreted using both visual rating and quantitative analysis. Group comparisons and association analysis were performed using SPSS (version 18.0). RESULTS: A total of 31 participants with SCD completed the study and 25.8% showed positive amyloid depositions. The degree of periventricular white matter hyperintensities (WMH) and hippocampal atrophy were more severe in amyloid-positive SCDs compared to the amyloid-negative group. In the self-reported questionnaire, the ‘informant's report a decline’ and ‘symptom's onset after 65 years of age’ were associated with more Alzheimer's pathologic changes. CONCLUSIONS: Amyloid-positive SCDs differed from amyloid-negative SCDs on WMH, hippocampal atrophy, and a few self-reported clinical features, which gave clues on the prediction of AD pathology. |
format | Online Article Text |
id | pubmed-6494779 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Korean Dementia Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-64947792019-05-16 Prediction of Alzheimer's Pathological Changes in Subjective Cognitive Decline Using the Self-report Questionnaire and Neuroimaging Biomarkers Hong, Yun Jeong Park, Kyung Won Kang, Do-Young Lee, Jae-Hong Dement Neurocogn Disord Original Article BACKGROUND AND PURPOSE: Subjective cognitive decline (SCD) may be the first symptomatic stage of Alzheimer's disease (AD). Hence, a screening tool to characterize the patients' complaints and assess the risk of AD is required. We investigated the SCD neuroimaging biomarker distributions and the relevance between the self-report questionnaire and Alzheimer's pathologic changes. METHODS: Individuals aged 50 and above with consistent cognitive complaints without any objective cognitive impairments were eligible for the study. The newly developed questionnaire consisted of 2 parts; 10 questions translated from the ‘SCD-plus criteria’ and a Korean version of the cognitive failure questionnaire by Broadbent. All the subjects underwent physical examinations such as blood work, detailed neuropsychological tests, the self-report questionnaire, brain magnetic resonance imagings, and florbetaben positron emission tomography (PET) scans. Amyloid PET findings were interpreted using both visual rating and quantitative analysis. Group comparisons and association analysis were performed using SPSS (version 18.0). RESULTS: A total of 31 participants with SCD completed the study and 25.8% showed positive amyloid depositions. The degree of periventricular white matter hyperintensities (WMH) and hippocampal atrophy were more severe in amyloid-positive SCDs compared to the amyloid-negative group. In the self-reported questionnaire, the ‘informant's report a decline’ and ‘symptom's onset after 65 years of age’ were associated with more Alzheimer's pathologic changes. CONCLUSIONS: Amyloid-positive SCDs differed from amyloid-negative SCDs on WMH, hippocampal atrophy, and a few self-reported clinical features, which gave clues on the prediction of AD pathology. Korean Dementia Association 2019-03 2019-04-19 /pmc/articles/PMC6494779/ /pubmed/31097969 http://dx.doi.org/10.12779/dnd.2019.18.1.19 Text en © 2019 Korean Dementia Association https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Hong, Yun Jeong Park, Kyung Won Kang, Do-Young Lee, Jae-Hong Prediction of Alzheimer's Pathological Changes in Subjective Cognitive Decline Using the Self-report Questionnaire and Neuroimaging Biomarkers |
title | Prediction of Alzheimer's Pathological Changes in Subjective Cognitive Decline Using the Self-report Questionnaire and Neuroimaging Biomarkers |
title_full | Prediction of Alzheimer's Pathological Changes in Subjective Cognitive Decline Using the Self-report Questionnaire and Neuroimaging Biomarkers |
title_fullStr | Prediction of Alzheimer's Pathological Changes in Subjective Cognitive Decline Using the Self-report Questionnaire and Neuroimaging Biomarkers |
title_full_unstemmed | Prediction of Alzheimer's Pathological Changes in Subjective Cognitive Decline Using the Self-report Questionnaire and Neuroimaging Biomarkers |
title_short | Prediction of Alzheimer's Pathological Changes in Subjective Cognitive Decline Using the Self-report Questionnaire and Neuroimaging Biomarkers |
title_sort | prediction of alzheimer's pathological changes in subjective cognitive decline using the self-report questionnaire and neuroimaging biomarkers |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6494779/ https://www.ncbi.nlm.nih.gov/pubmed/31097969 http://dx.doi.org/10.12779/dnd.2019.18.1.19 |
work_keys_str_mv | AT hongyunjeong predictionofalzheimerspathologicalchangesinsubjectivecognitivedeclineusingtheselfreportquestionnaireandneuroimagingbiomarkers AT parkkyungwon predictionofalzheimerspathologicalchangesinsubjectivecognitivedeclineusingtheselfreportquestionnaireandneuroimagingbiomarkers AT kangdoyoung predictionofalzheimerspathologicalchangesinsubjectivecognitivedeclineusingtheselfreportquestionnaireandneuroimagingbiomarkers AT leejaehong predictionofalzheimerspathologicalchangesinsubjectivecognitivedeclineusingtheselfreportquestionnaireandneuroimagingbiomarkers |