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dc.contributor.authorWang, Xiaoqi
dc.contributor.authorHuang, Weijie
dc.contributor.authorSu, Li
dc.contributor.authorXing, Yue
dc.contributor.authorJessen, Frank
dc.contributor.authorSun, Yu
dc.contributor.authorShu, Ni
dc.contributor.authorHan, Ying
dc.date.accessioned2020-09-22T15:09:14Z
dc.date.available2020-09-22T15:09:14Z
dc.date.issued2020-09-22
dc.date.submitted2020-04-15
dc.identifier.others13024-020-00395-3
dc.identifier.other395
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/310577
dc.description.abstractAbstract: 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.
dc.languageen
dc.publisherBioMed Central
dc.rightsAttribution 4.0 International (CC BY 4.0)en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectReview
dc.subjectsubjective cognitive decline
dc.subjectAlzheimer’s disease
dc.subjectneuroimaging
dc.subjectmultimodal MRI
dc.subjectPET
dc.titleNeuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer’s disease
dc.typeArticle
dc.date.updated2020-09-22T15:09:14Z
prism.issueIdentifier1
prism.publicationNameMolecular Neurodegeneration
prism.volume15
dc.identifier.doi10.17863/CAM.57673
dcterms.dateAccepted2020-08-07
rioxxterms.versionofrecord10.1186/s13024-020-00395-3
rioxxterms.versionVoR
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidHan, Ying [0000-0003-0377-7424]
dc.identifier.eissn1750-1326
pubs.funder-project-idNational Key Research and Development Program of China (2016YFC1306300, 2018YFC1312001)
pubs.funder-project-idNational Natural Science Foundation of China (61633018, 81671761, 81871425)
pubs.funder-project-idBeijing Municipal Commission of Health and Family Planning (PXM2020_026283_000002)
pubs.funder-project-idFundamental Research Funds for the Central University (2017XTCX04)
pubs.funder-project-idBeijing Nature Science Foundation (7161009)


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)