Altered cerebellar activation patterns in Alzheimer’s disease: An activation likelihood estimation Meta-Analysis
The past decade has seen an increased interest in the cerebellum, particularly in non-motor behaviors. Emerging work across model systems and in humans has also implicated the cerebellum in Alzheimer’s Disease (AD) and in mild cognitive impairment (MCI). While the cerebellum is not seen as being cen...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | NeuroImage: Clinical |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158225000403 |
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| author | Jessica A. Bernard Ivan A. Herrejon Emily An Yamilet Cina Sameera Dabbiru Jack Dempsey Elise Marrie Michele Medina Jessica Praytor |
| author_facet | Jessica A. Bernard Ivan A. Herrejon Emily An Yamilet Cina Sameera Dabbiru Jack Dempsey Elise Marrie Michele Medina Jessica Praytor |
| author_sort | Jessica A. Bernard |
| collection | DOAJ |
| description | The past decade has seen an increased interest in the cerebellum, particularly in non-motor behaviors. Emerging work across model systems and in humans has also implicated the cerebellum in Alzheimer’s Disease (AD) and in mild cognitive impairment (MCI). While the cerebellum is not seen as being central to the etiology of the disease, it is however recognized as being increasingly important, and most certainly not immune from disease-related pathology and atrophy. In cognitively normal older adults (OA), the cerebellum has been conceptualized as being critical scaffolding for cortical function. This scaffolding may extend to AD and MCI. With respect to functional imaging, this is largely unexplored in AD, as this is a nascent literature. While there are very few studies focused on the cerebellum in AD at this stage, meta-analysis provides a powerful tool for expanding our knowledge of the cerebellum in neurodegenerative disease, and, in turn, for hypothesis generation. We took advantage of activation likelihood estimation (ALE) meta-analysis to investigate overlap in functional activation present in the existing literature. We focused on AD, but also included an exploratory analysis of MCI, based on papers available in our AD search. Our analysis included a total of 29 studies, representing data from 236 individuals with AD, 159 with MCI, and 382 OA. Across these studies, there is no significant overlap in cerebellar activation in AD, though this is present in MCI. Analyses of group differences also suggest that across studies, there are patterns indicative of both greater and reduced activation in AD/MCI relative to OA. Across all findings, overlap was primarily centered on Crus I and Lobule VI. These findings suggest that cerebellar function is negatively impacted in AD, which in turn may impact behavior and symptomatology. |
| format | Article |
| id | doaj-art-e396d6dfcdfd4a05ae32e30e23cc379e |
| institution | DOAJ |
| issn | 2213-1582 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj-art-e396d6dfcdfd4a05ae32e30e23cc379e2025-08-20T03:19:56ZengElsevierNeuroImage: Clinical2213-15822025-01-014610377010.1016/j.nicl.2025.103770Altered cerebellar activation patterns in Alzheimer’s disease: An activation likelihood estimation Meta-AnalysisJessica A. Bernard0Ivan A. Herrejon1Emily An2Yamilet Cina3Sameera Dabbiru4Jack Dempsey5Elise Marrie6Michele Medina7Jessica Praytor8Department of Psychological and Brain Sciences Texas A&M University, United States; Texas A&M Institute for Neuroscience Texas A&M University, United States; Corresponding author.Department of Psychological and Brain Sciences Texas A&M University, United StatesDepartment of Psychological and Brain Sciences Texas A&M University, United StatesDepartment of Psychological and Brain Sciences Texas A&M University, United StatesDepartment of Psychological and Brain Sciences Texas A&M University, United StatesDepartment of Psychological and Brain Sciences Texas A&M University, United StatesDepartment of Psychological and Brain Sciences Texas A&M University, United StatesDepartment of Psychological and Brain Sciences Texas A&M University, United StatesDepartment of Psychological and Brain Sciences Texas A&M University, United StatesThe past decade has seen an increased interest in the cerebellum, particularly in non-motor behaviors. Emerging work across model systems and in humans has also implicated the cerebellum in Alzheimer’s Disease (AD) and in mild cognitive impairment (MCI). While the cerebellum is not seen as being central to the etiology of the disease, it is however recognized as being increasingly important, and most certainly not immune from disease-related pathology and atrophy. In cognitively normal older adults (OA), the cerebellum has been conceptualized as being critical scaffolding for cortical function. This scaffolding may extend to AD and MCI. With respect to functional imaging, this is largely unexplored in AD, as this is a nascent literature. While there are very few studies focused on the cerebellum in AD at this stage, meta-analysis provides a powerful tool for expanding our knowledge of the cerebellum in neurodegenerative disease, and, in turn, for hypothesis generation. We took advantage of activation likelihood estimation (ALE) meta-analysis to investigate overlap in functional activation present in the existing literature. We focused on AD, but also included an exploratory analysis of MCI, based on papers available in our AD search. Our analysis included a total of 29 studies, representing data from 236 individuals with AD, 159 with MCI, and 382 OA. Across these studies, there is no significant overlap in cerebellar activation in AD, though this is present in MCI. Analyses of group differences also suggest that across studies, there are patterns indicative of both greater and reduced activation in AD/MCI relative to OA. Across all findings, overlap was primarily centered on Crus I and Lobule VI. These findings suggest that cerebellar function is negatively impacted in AD, which in turn may impact behavior and symptomatology.http://www.sciencedirect.com/science/article/pii/S2213158225000403CerebellumAlzheimer’s diseaseMild cognitive impairmentFunctional imagingActivation likelihood estimationMeta-analysis |
| spellingShingle | Jessica A. Bernard Ivan A. Herrejon Emily An Yamilet Cina Sameera Dabbiru Jack Dempsey Elise Marrie Michele Medina Jessica Praytor Altered cerebellar activation patterns in Alzheimer’s disease: An activation likelihood estimation Meta-Analysis NeuroImage: Clinical Cerebellum Alzheimer’s disease Mild cognitive impairment Functional imaging Activation likelihood estimation Meta-analysis |
| title | Altered cerebellar activation patterns in Alzheimer’s disease: An activation likelihood estimation Meta-Analysis |
| title_full | Altered cerebellar activation patterns in Alzheimer’s disease: An activation likelihood estimation Meta-Analysis |
| title_fullStr | Altered cerebellar activation patterns in Alzheimer’s disease: An activation likelihood estimation Meta-Analysis |
| title_full_unstemmed | Altered cerebellar activation patterns in Alzheimer’s disease: An activation likelihood estimation Meta-Analysis |
| title_short | Altered cerebellar activation patterns in Alzheimer’s disease: An activation likelihood estimation Meta-Analysis |
| title_sort | altered cerebellar activation patterns in alzheimer s disease an activation likelihood estimation meta analysis |
| topic | Cerebellum Alzheimer’s disease Mild cognitive impairment Functional imaging Activation likelihood estimation Meta-analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2213158225000403 |
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