Resting-state functional reorganisation in Alzheimer's disease and amnestic mild cognitive impairment: protocol for a systematic review and meta-analysis

被引:6
|
作者
Lyu, Diyang [1 ]
Li, Taoran [1 ]
Lyu, Xuanxin [2 ]
机构
[1] Capital Med Univ, Beijing, Peoples R China
[2] Capital Med Univ, Beijing Rehabil Hosp, Neurol Rehabil Ctr, Beijing, Peoples R China
来源
BMJ OPEN | 2021年 / 11卷 / 10期
关键词
NEUROLOGY; Dementia; Diagnostic radiology; neurology; dementia; diagnostic radiology; BRAIN ACTIVITY; FMRI; DIAGNOSIS; BIOMARKERS; DEMENTIA; CRITERIA; ALFF;
D O I
10.1136/bmjopen-2021-049798
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction The incidence of Alzheimer's disease (AD) is increasing rapidly, causing a growing burden to health and economic worldwide. Several clinical trials in the past decade failed to find solutions, and there remains a lack of an effective treatment. The evidence suggests that early intervention for neurodegeneration would likely be effective in preventing cognitive decline. Cognitive decline in AD occurs continuously over a long period; however, there remains a lack of simple, rapid and accurate approach for diagnosis of amnestic mild cognitive impairment or subjective cognitive decline due to underlying Alzheimer's pathology. Resting-state functional MRI (rs-fMRI) determines the functional activities of the human brain non-invasively. The amplitude of low-frequency fluctuation (ALFF), fractional ALFF (fALFF) and regional homogeneity (ReHo) are rs-fMRI indicators with high repeatability. They have been studied as early diagnostic imaging markers for other diseases and may be promising markers also for AD. Methods and analysis The following electronic literature databases will be searched from inception to December 2021: Medline-Ovid, Medline-PubMed, EMBase-Ovid, Cochrane Central and ClinicalTrials.gov. Two independent reviewers will select studies with eligible criteria, extract data and assess the quality of the original studies with our quality assessment tool individually. Missing data will be requested by sending emails to the corresponding authors. Brain regions will be presented for ALFF/fALFF and ReHo by performing activation likelihood estimation with the Seed-based d Mapping-Permutation of subject images V.6.21 software. Meta-regression will be performed to determine the potential brain regions that may strongly correlate with cognitive decline progression. Subgroup analysis, funnel plot, Egger's test and sensitivity analysis will be conducted to detect and explain potential heterogeneity. Ethics and dissemination This study does not require formal ethical approval. The findings will be submitted to a peer-review journal. PROSPERO registration number CRD42021229009.
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页数:7
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