FILIP, Pavel, Cécile GALLEA, Stéphane LEHERICY, Ovidiu LUNGU and Martin BAREŠ. Neural Scaffolding as the Foundation for Stable Performance of Aging Cerebellum. Cerebellum. New York: Springer, 2019, vol. 18, No 3, p. 500-510. ISSN 1473-4222. Available from: https://dx.doi.org/10.1007/s12311-019-01015-7.
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Basic information
Original name Neural Scaffolding as the Foundation for Stable Performance of Aging Cerebellum
Authors FILIP, Pavel (703 Slovakia, guarantor, belonging to the institution), Cécile GALLEA (250 France), Stéphane LEHERICY (250 France), Ovidiu LUNGU (124 Canada) and Martin BAREŠ (203 Czech Republic, belonging to the institution).
Edition Cerebellum, New York, Springer, 2019, 1473-4222.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30103 Neurosciences
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 3.129
RIV identification code RIV/00216224:14110/19:00110173
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.1007/s12311-019-01015-7
UT WoS 000468112900019
Keywords in English Cerebellar aging; fMRI; Functional connectivity; Voxel-based morphometry
Tags 14110127, rivok
Tags International impact, Reviewed
Changed by Changed by: Soňa Böhmová, učo 232884. Changed: 15/7/2019 13:27.
Abstract
Although recently conceptualized as a neural node essential for a vast spectrum of associative and cognitive processes, the cerebellum has largely eluded attention in the research of aging, where it is marginalized mainly to structural analyses. In the current cross-sectional study of 67 healthy subjects of various ages (20 to 76 years), we sought to provide a comprehensive, multimodal account of age-related changes in the cerebellum during predictive motor timing, which was previously shown to engage this structure. We combined behavioral assessments of performance with functional MRI and voxel-based morphometry using an advanced method to avoid cerebellar deformation and registration imprecisions inherent to the standard processing at the whole-brain level. Higher age was surprisingly associated with stable behavioral performance during predictive motor timing, despite the massive decrease of infratentorial gray matter volume of a far higher extent than in the supratentorial region, affecting mainly the posterior cerebellar lobe. Nonetheless, this very area showed extensive hyperactivation directly correlated with age. The same region had decreased connectivity with the left caudate and increased connectivity with the left fusiform gyrus, the right pallidum, the hippocampus, and the lingual gyrus. Hence, we propose to extend the scaffolding theory of aging, previously limited mainly to the frontal cortices, to include also the cerebellum, which is likewise suffering from atrophy to a far greater extent than the rest of the brain and is similarly counteracting it by bilateral hyperactivation.
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