Literature DB >> 16042032

Age, sex and regional brain volumes predict perceptual-motor skill acquisition.

Kristen M Kennedy1, Naftali Raz.   

Abstract

Neural mechanisms of skill acquisition across the lifespan are largely unknown. Neuroimaging in younger adults and research on neurodegenerative disorders suggests that perceptual-motor learning relies on the striatum, cerebellum, and prefrontal cortex. Our objective in this study was to explore whether individual differences in regional brain volumes modify the effects of age and sex on the acquisition of a perceptual-motor skill in healthy adults. The participants (N = 85, age 22-80) performed five 5-trial blocks of a mirror-drawing task on three separate days (for a total of 25 trials). Index of performance was time to completion and number of errors committed. All participants improved with practice, but younger adults performed better than their older counterparts, and women performed better than men. Four brain regions--lateral prefrontal cortex (LPFC), hippocampus (HC), cerebellar hemispheres (Cb) and the caudate nucleus (Cd)--were selected on the basis of the relevant literature and measured on MRI scans. All regional volumes were negatively associated with age, although the magnitude of association differed from LPFC (the strongest) to Cd (the weakest). Larger lateral PFC was associated with better performance on the mirror drawing task, and this link was stronger in the older participants and was strengthened at the later stages of learning. Larger caudate was related to better performance, especially at later learning, among men, but among women the link was evident only during early learning. Thus, mirror-drawing represents a task that, despite its visual-spatial nature, favors women, and may exhibit sexually dimorphic brain substrates.

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Year:  2005        PMID: 16042032     DOI: 10.1016/s0010-9452(08)70196-5

Source DB:  PubMed          Journal:  Cortex        ISSN: 0010-9452            Impact factor:   4.027


  36 in total

Review 1.  Differential aging of the brain: patterns, cognitive correlates and modifiers.

Authors:  Naftali Raz; Karen M Rodrigue
Journal:  Neurosci Biobehav Rev       Date:  2006-08-17       Impact factor: 8.989

2.  Sensorimotor adaptation in Parkinson's disease: evidence for a dopamine dependent remapping disturbance.

Authors:  F Paquet; M A Bedard; M Levesque; P L Tremblay; M Lemay; P J Blanchet; P Scherzer; S Chouinard; J Filion
Journal:  Exp Brain Res       Date:  2007-10-24       Impact factor: 1.972

3.  Neuroanatomical correlates of fluid intelligence in healthy adults and persons with vascular risk factors.

Authors:  Naftali Raz; Ulman Lindenberger; Paolo Ghisletta; Karen M Rodrigue; Kristen M Kennedy; James D Acker
Journal:  Cereb Cortex       Date:  2007-07-05       Impact factor: 5.357

4.  Age-related changes in the cerebral substrates of cognitive procedural learning.

Authors:  Valérie Hubert; Hélène Beaunieux; Gaël Chételat; Hervé Platel; Brigitte Landeau; Fausto Viader; Béatrice Desgranges; Francis Eustache
Journal:  Hum Brain Mapp       Date:  2009-04       Impact factor: 5.038

5.  Playing Super Mario induces structural brain plasticity: gray matter changes resulting from training with a commercial video game.

Authors:  S Kühn; T Gleich; R C Lorenz; U Lindenberger; J Gallinat
Journal:  Mol Psychiatry       Date:  2013-10-29       Impact factor: 15.992

6.  Adult age differences and the role of cognitive resources in perceptual-motor skill acquisition: application of a multilevel negative exponential model.

Authors:  Paolo Ghisletta; Kristen M Kennedy; Karen M Rodrigue; Ulman Lindenberger; Naftali Raz
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2010-01-04       Impact factor: 4.077

Review 7.  A review of the brain structure correlates of successful cognitive aging.

Authors:  Allison R Kaup; Heline Mirzakhanian; Dilip V Jeste; Lisa T Eyler
Journal:  J Neuropsychiatry Clin Neurosci       Date:  2011       Impact factor: 2.198

8.  Multiple Brain Markers are Linked to Age-Related Variation in Cognition.

Authors:  Trey Hedden; Aaron P Schultz; Anna Rieckmann; Elizabeth C Mormino; Keith A Johnson; Reisa A Sperling; Randy L Buckner
Journal:  Cereb Cortex       Date:  2014-10-14       Impact factor: 5.357

9.  Fast but fleeting: adaptive motor learning processes associated with aging and cognitive decline.

Authors:  Kevin M Trewartha; Angeles Garcia; Daniel M Wolpert; J Randall Flanagan
Journal:  J Neurosci       Date:  2014-10-01       Impact factor: 6.167

10.  One-year change in cognitive flexibility and fine motor function in middle-aged male and female marmosets (Callithrix jacchus).

Authors:  Kathryn P Workman; Brianna Healey; Alyssa Carlotto; Agnès Lacreuse
Journal:  Am J Primatol       Date:  2018-10-03       Impact factor: 2.371

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