Discovering Subtypes with Imaging Signatures in the Motoric Cognitive Risk Syndrome Consortium using Weakly-Supervised Clustering Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1101/2024.10.11.24315328
STRUCTURED ABSTRACT INTRODUCTION Understanding the heterogeneity of brain structure in individuals with the Motoric Cognitive Risk Syndrome (MCR) may improve the current risk assessments of dementia. METHODS We used data from 6 cohorts from the MCR consortium (N=1987). A weakly- supervised clustering algorithm called HYDRA was applied to volumetric MRI measures to identify distinct subgroups in the population with gait speeds lower than one standard deviation (1SD) above mean. RESULTS Three subgroups (Groups A, B & C) were identified through MRI-based clustering with significant differences in regional brain volumes, gait speeds, and performance on Trail Making (Part-B) and Free and Cued Selective Reminding Tests. DISCUSSION Based on structural MRI, our results reflect heterogeneity in the population with moderate and slow gait, including those with MCR. Such a data-driven approach could help pave new pathways toward dementia at-risk stratification and have implications for precision health for patients.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2024.10.11.24315328
- OA Status
- green
- References
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- Related Works
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- OpenAlex ID
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https://doi.org/10.1101/2024.10.11.24315328Digital Object Identifier
- Title
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Discovering Subtypes with Imaging Signatures in the Motoric Cognitive Risk Syndrome Consortium using Weakly-Supervised ClusteringWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
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2024Year of publication
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2024-10-13Full publication date if available
- Authors
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Bhargav Teja Nallapu, Ali Ezzati, Helena M. Blumen, Kellen K. Petersen, Richard B. Lipton, Emmeline Ayers, V G Pradeep Kumar, Velandai Srikanth, Richard Beare, Olivier Beauchet, Takehiko Doi, Hiroyuki Shimada, Sofiya Milman, Sandra Aleksić, Joe VergheseList of authors in order
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://doi.org/10.1101/2024.10.11.24315328Direct OA link when available
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Cluster analysis, Cognition, Artificial intelligence, Computer science, Psychology, NeuroscienceTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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56Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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