SynthesisCNS neuroscience & therapeutics2022
Neuroimaging alterations in dementia with Lewy bodies and neuroimaging differences between dementia with Lewy bodies and Alzheimer's disease: An activation likelihood estimation meta-analysis.
Synthesis in CNS neuroscience & therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Comparative analysis of white matter signal alterations in dementia with Lewy bodies and Alzheimer's disease: a systematic review and meta-analysis.Frontiers in radiology · 2025Pooled it
- Neuroimaging alterations in dementia with Lewy bodies and neuroimaging differences between dementia with Lewy bodies and Alzheimer's disease: An activation likelihood estimation meta-analysis.CNS neuroscience & therapeutics · 2022Pooled it
- Characteristic volume, texture, and functional connectivity alterations in hypothalamic subunits of adult primary hypothyroidism: a multiparametric MRI analysis.Journal of endocrinological investigation · 2025Article
- Advanced Magnetic Resonance Imaging for Early Diagnosis and Monitoring of Movement Disorders.Brain sciences · 2025Review
- Surface-Based Morphometry Analysis of the Cerebral Cortex in Patients With Probable Idiopathic Rapid Eye Movement Sleep Behavior Disorder.Brain and behavior · 2024Article
- Blood-brain barrier breakdown in dementia with Lewy bodies.Fluids and barriers of the CNS · 2024Article
- Effects of Repetitive Transcranial Magnetic Stimulation at the Cerebellum on Working Memory.Brain sciences · 2023Article
- Review
- Pathogenesis of Dementia.International journal of molecular sciences · 2022Review
- Machine learning based on Optical Coherence Tomography images as a diagnostic tool for Alzheimer's disease.CNS neuroscience & therapeutics · 2022Article
- Impact of constipation on progression of Alzheimer's disease: A retrospective study.CNS neuroscience & therapeutics · 2022Article
- Exploring causal links between brain functional networks and neurodegenerative disease risk using Mendelian randomization.Journal of Alzheimer's disease reportsArticle
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsThe aim of this study was to identify brain regions with local, structural, and functional abnormalities in dementia with Lewy bodies (DLB) and uncover the differences between DLB and Alzheimer's disease (AD). The neural networks involved in the identified abnormal brain regions were further described.
methodsPubMed, Web of Science, OVID, Science Direct, and Cochrane Library databases were used to identify neuroimaging studies that included DLB versus healthy controls (HCs) or DLB versus AD. The coordinate-based meta-analysis and functional meta-analytic connectivity modeling were performed using the activation likelihood estimation algorithm.
resultsEleven structural studies and fourteen functional studies were included in this quantitative meta-analysis. DLB patients showed a dysfunction in the bilateral inferior parietal lobule and right lingual gyrus compared with HC patients. DLB patients showed a relative preservation of the medial temporal lobe and a tendency of lower metabolism in the right lingual gyrus compared with AD. The frontal-parietal, salience, and visual networks were all abnormally co-activated in DLB, but the default mode network remained normally co-activated compared with AD.
conclusionsThe convergence of local brain regions and co-activation neural networks might be potential specific imaging markers in the diagnosis of DLB. This might provide a pathway for the neural regulation in DLB patients, and it might contribute to the development of specific interventions for DLB and AD.
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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.