SynthesisFrontiers in neuroscience2022
An Activation Likelihood Estimation Meta-Analysis of Specific Functional Alterations in Dorsal Attention Network in Mild Cognitive Impairment.
Synthesis in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 15 citations in OpenAlex.
- Identification of key brain networks and functional connectivities of successful aging: A surface-based resting-state functional magnetic resonance study.World journal of psychiatry · 2025Article
- Specificity of functional network connectivity during the AD prodromal phase in mild cognitive impairment.Frontiers in psychiatry · 2025Article
- Depression and metabolic connectivity: insights into the locus coeruleus, HF-rTMS, and anxiety.Translational psychiatry · 2024Article
- Detection of neurophysiological markers of cognitive reserve: an EEG study.Frontiers in aging neuroscience · 2024Article
- Comparison of the diagnostic accuracy of resting-state fMRI driven machine learning algorithms in the detection of mild cognitive impairment.Scientific reports · 2023Article
- Functional and structural alterations of dorsal attention network in preclinical and early-stage Alzheimer's disease.CNS neuroscience & therapeutics · 2023Article
- Neuroimaging modalities in the detection of Alzheimer's disease-associated biomarkers.Psychoradiology · 2023Review
- The Characteristics of Entorhinal Cortex Functional Connectivity in Alzheimer's Disease Patients with Depression.Current Alzheimer research · 2022Article
- Differences in resting state functional connectivity underlie visuomotor performance declines in older adults with a genetic risk (Frontiers in aging neuroscience · 2022Article
- Textural features reflecting local activity of the hippocampus improve the diagnosis of Alzheimer's disease and amnestic mild cognitive impairment: A radiomics study based on functional magnetic resonance imaging.Frontiers in neuroscience · 2022Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Mild cognitive impairment (MCI) is known as the prodromal stage of the Alzheimer's disease (AD) spectrum. The recent studies have advised that functional alterations in the dorsal attention network (DAN) could be used as a sensitive marker to forecast the progression from MCI to AD. Therefore, our aim was to investigate specific functional alterations in the DAN in MCI. Methods: We systematically searched PubMed, EMBASE, and Web of Science and chose relevant articles based on the three functional indicators, the amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), and functional connectivity (FC) in the DAN in MCI. Based on the activation likelihood estimation, we accomplished the aggregation of specific coordinates and the analysis of functional alterations. Results: A total of 38 studies were involved in our meta-analysis. By summing up included articles, we acquired specific brain region alterations in the DAN mainly in the superior temporal gyrus (STG), middle temporal gyrus (MTG), superior frontal gyrus (SFG), middle frontal gyrus (MFG), inferior frontal gyrus (IFG), precentral gyrus (preCG), inferior parietal lobule (IPL), superior parietal lobule (SPL). At the same time, the key area that shows anti-interaction with default mode network included the IPL in the DAN. The one showing interactions with executive control network was mainly in the MFG. Finally, the frontoparietal network showed a close connection with DAN especially in the IPL and IFG. Conclusion: This study demonstrated abnormal functional markers in the DAN and its interactions with other networks in MCI group, respectively. It provided the foundation for future targeted interventions in preventing the progression of AD. Systematic Review Registration: [https://www.crd.york.ac.uk/PROSPERO/], identifier [CRD42021287958].
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.