4.7 Article

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

Journal

CNS NEUROSCIENCE & THERAPEUTICS
Volume 28, Issue 2, Pages 183-205

Publisher

WILEY
DOI: 10.1111/cns.13775

Keywords

dementia with Lewy bodies; neuroimaging; anatomical; activation likelihood estimation; coordinate-based meta-analysis; functional meta-analytic connectivity modeling

Funding

  1. National Natural Science Foundation of China [81701675]
  2. Cooperative Research Project of Southeast University-Nanjing Medical University [2018DN0031]
  3. Key Research and Development Plan (Social Development) Project of Jiangsu Province [BE2018608]
  4. Nanjing Medical Science and Technology Development Project [YKK19087]
  5. Science and Technology Development Fund of Nanjing Medical University [NMUB2018200]

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The study aimed to identify brain regions with abnormalities in patients with DLB and differences between DLB and AD. Neural networks involved in these abnormal brain regions were described. DLB patients showed dysfunction in certain brain regions compared to control groups and distinction from AD, suggesting potential markers for diagnosis and specific interventions for both DLB and AD.
Aims The 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. Methods PubMed, 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. Results Eleven 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. Conclusions The 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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