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Network-selective vulnerability of the human cerebellum to Alzheimer's disease and frontotemporal dementia.

Authors :
Guo, Christine C.
Tan, Rachel
Hodges, John R.
Xintao Hu
Sami, Saber
Hornberger, Michael
Hu, Xintao
Source :
Brain: A Journal of Neurology. 5/1/2016, Vol. 139 Issue 5, p1527-1538. 12p.
Publication Year :
2016

Abstract

SEE SCHMAHMANN DOI101093/BRAIN/AWW064 FOR A SCIENTIFIC COMMENTARY ON THIS ARTICLE: Neurodegenerative diseases are associated with distinct and distributed patterns of atrophy in the cerebral cortex. Emerging evidence suggests that these atrophy patterns resemble intrinsic connectivity networks in the healthy brain, supporting the network-based degeneration framework where neuropathology spreads across connectivity networks. An intriguing yet untested possibility is that the cerebellar circuits, which share extensive connections with the cerebral cortex, could be selectively targeted by major neurodegenerative diseases. Here we examined the structural atrophy in the cerebellum across common types of neurodegenerative diseases, and characterized the functional connectivity patterns of these cerebellar atrophy regions. Our results showed that Alzheimer's disease and frontotemporal dementia are associated with distinct and circumscribed atrophy in the cerebellum. These cerebellar atrophied regions share robust and selective intrinsic connectivity with the atrophied regions in the cerebral cortex. These findings for the first time demonstrated the selective vulnerability of the cerebellum to common neurodegenerative disease, extending the network-based degeneration framework to the cerebellum. Our work also has direct implications on the cerebellar contribution to the cognitive and affective processes that are compromised in neurodegeneration as well as the practice of using the cerebellum as reference region for ligand neuroimaging studies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00068950
Volume :
139
Issue :
5
Database :
Academic Search Index
Journal :
Brain: A Journal of Neurology
Publication Type :
Academic Journal
Accession number :
115100409
Full Text :
https://doi.org/10.1093/brain/aww003