Age-related reduction in motor adaptation: brain structural correlates and the role of explicit memory

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

41 Sitaatiot (Scopus)

Abstrakti

The adaption of movement to changes in the environment varies across life span. Recent evidence has linked motor adaptation and its reduction with age to differences in “explicit” learning processes. We examine differences in brain structure and cognition underlying motor adaptation in a population-based cohort (n = 322, aged 18–89 years) using a visuomotor learning task and structural magnetic resonance imaging. Reduced motor adaptation with age was associated with reduced volume in striatum, prefrontal, and sensorimotor cortical regions, but not cerebellum. Medial temporal lobe volume, including the hippocampus, became a stronger determinant of motor adaptation with age. Consistent with the role of the medial temporal lobes, declarative long-term memory showed a similar interaction, whereby memory was more positively correlated with motor adaptation with increasing age. By contrast, visual short-term memory was related to motor adaptation, independently of age. These results support the hypothesis that cerebellar learning is largely unaffected in old age, and the reduction in motor adaptation with age is driven by a decline in explicit memory systems.

AlkuperäiskieliEnglanti
Sivut13-23
Sivumäärä11
JulkaisuNeurobiology of Aging
Vuosikerta90
DOI - pysyväislinkit
TilaJulkaistu - kesäk. 2020
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Rahoitus

We are grateful to the Cam-CAN respondents and their primary care teams in Cambridge for their participation in this study. We also thank Rogier Kievit for his comments on the manuscript and analysis advice. Cam-CAN research was supported by the Biotechnology and Biological Sciences Research Council ( BB/H008217/1 ). NW is funded by a National Institute of Health Research (NIHR) Academic Clinical Fellowship. JBR was supported by the James S. McDonnell Foundation 21st Century Science Initiative, Scholar Award in Understanding Human Cognition, Wellcome Trust (103838) and the Medical Research Council [ SUAG/032 RG91365 ]. KAT was supported by the British American Psychological Foundation ( PF160048 ). DMW was supported by the Wellcome Trust [ 097803 ], Human Frontier Science Program, and the Royal Society Noreen Murray Professorship in Neurobiology. RNH was supported by the Medical Research Council [SUAG/010 RG91365] and by the European Union’s Horizon 2020 research and innovation program under grant agreement No 732592.

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