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Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer’s disease
Subjective cognitive decline (SCD) is regarded as the first clinical manifestation in the Alzheimer’s disease (AD) continuum. Investigating populations with SCD is important for understanding the early pathological mechanisms of AD and identifying SCD-related biomarkers, which are critical for the e...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7507636/ https://www.ncbi.nlm.nih.gov/pubmed/32962744 http://dx.doi.org/10.1186/s13024-020-00395-3 |
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author | Wang, Xiaoqi Huang, Weijie Su, Li Xing, Yue Jessen, Frank Sun, Yu Shu, Ni Han, Ying |
author_facet | Wang, Xiaoqi Huang, Weijie Su, Li Xing, Yue Jessen, Frank Sun, Yu Shu, Ni Han, Ying |
author_sort | Wang, Xiaoqi |
collection | PubMed |
description | Subjective cognitive decline (SCD) is regarded as the first clinical manifestation in the Alzheimer’s disease (AD) continuum. Investigating populations with SCD is important for understanding the early pathological mechanisms of AD and identifying SCD-related biomarkers, which are critical for the early detection of AD. With the advent of advanced neuroimaging techniques, such as positron emission tomography (PET) and magnetic resonance imaging (MRI), accumulating evidence has revealed structural and functional brain alterations related to the symptoms of SCD. In this review, we summarize the main imaging features and key findings regarding SCD related to AD, from local and regional data to connectivity-based imaging measures, with the aim of delineating a multimodal imaging signature of SCD due to AD. Additionally, the interaction of SCD with other risk factors for dementia due to AD, such as age and the Apolipoprotein E (ApoE) ɛ4 status, has also been described. Finally, the possible explanations for the inconsistent and heterogeneous neuroimaging findings observed in individuals with SCD are discussed, along with future directions. Overall, the literature reveals a preferential vulnerability of AD signature regions in SCD in the context of AD, supporting the notion that individuals with SCD share a similar pattern of brain alterations with patients with mild cognitive impairment (MCI) and dementia due to AD. We conclude that these neuroimaging techniques, particularly multimodal neuroimaging techniques, have great potential for identifying the underlying pathological alterations associated with SCD. More longitudinal studies with larger sample sizes combined with more advanced imaging modeling approaches such as artificial intelligence are still warranted to establish their clinical utility. |
format | Online Article Text |
id | pubmed-7507636 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75076362020-09-23 Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer’s disease Wang, Xiaoqi Huang, Weijie Su, Li Xing, Yue Jessen, Frank Sun, Yu Shu, Ni Han, Ying Mol Neurodegener Review Subjective cognitive decline (SCD) is regarded as the first clinical manifestation in the Alzheimer’s disease (AD) continuum. Investigating populations with SCD is important for understanding the early pathological mechanisms of AD and identifying SCD-related biomarkers, which are critical for the early detection of AD. With the advent of advanced neuroimaging techniques, such as positron emission tomography (PET) and magnetic resonance imaging (MRI), accumulating evidence has revealed structural and functional brain alterations related to the symptoms of SCD. In this review, we summarize the main imaging features and key findings regarding SCD related to AD, from local and regional data to connectivity-based imaging measures, with the aim of delineating a multimodal imaging signature of SCD due to AD. Additionally, the interaction of SCD with other risk factors for dementia due to AD, such as age and the Apolipoprotein E (ApoE) ɛ4 status, has also been described. Finally, the possible explanations for the inconsistent and heterogeneous neuroimaging findings observed in individuals with SCD are discussed, along with future directions. Overall, the literature reveals a preferential vulnerability of AD signature regions in SCD in the context of AD, supporting the notion that individuals with SCD share a similar pattern of brain alterations with patients with mild cognitive impairment (MCI) and dementia due to AD. We conclude that these neuroimaging techniques, particularly multimodal neuroimaging techniques, have great potential for identifying the underlying pathological alterations associated with SCD. More longitudinal studies with larger sample sizes combined with more advanced imaging modeling approaches such as artificial intelligence are still warranted to establish their clinical utility. BioMed Central 2020-09-22 /pmc/articles/PMC7507636/ /pubmed/32962744 http://dx.doi.org/10.1186/s13024-020-00395-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Wang, Xiaoqi Huang, Weijie Su, Li Xing, Yue Jessen, Frank Sun, Yu Shu, Ni Han, Ying Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer’s disease |
title | Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer’s disease |
title_full | Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer’s disease |
title_fullStr | Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer’s disease |
title_full_unstemmed | Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer’s disease |
title_short | Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer’s disease |
title_sort | neuroimaging advances regarding subjective cognitive decline in preclinical alzheimer’s disease |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7507636/ https://www.ncbi.nlm.nih.gov/pubmed/32962744 http://dx.doi.org/10.1186/s13024-020-00395-3 |
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