Literature DB >> 27909002

Anatomy of Subcortical Structures Predicts Age-Related Differences in Skill Acquisition.

Sima Chalavi1, Hamed Zivari Adab1, Lisa Pauwels1, Iseult A M Beets1,2, Peter van Ruitenbeek1,3, Matthieu P Boisgontier1, Thiago Santos Monteiro1, Celine Maes1, Stefan Sunaert4, Stephan P Swinnen1,5.   

Abstract

Skill acquisition capabilities vary substantially from one individual to another. Volumetric brain studies have demonstrated that global volume of several subcortical structures predicts variations in learning outcome in young adults (YA) and older adults (OA). In this study, for the first time, we utilized shape analysis, which offers a more sensitive detection of subregional brain anatomical deformations, to investigate whether subregional anatomy of subcortical structures is associated with training-induced performance improvement on a bimanual task in YA and OA, and whether this association is age-dependent. Compared with YA, OA showed poorer performance, greater performance improvement, and smaller global volume and compressed subregional shape in subcortical structures. In OA, global volume of the right nucleus accumbens and subregional shape of the right thalamus, caudate, putamen and nucleus accumbens were positively correlated with acquisition of difficult (non-preferred) but not easy (preferred) task conditions. In YA, global volume and subregional shape of the right hippocampus were negatively correlated with performance improvement in both the easy and difficult conditions. We argue that pre-existing neuroanatomical measures of subcortical structures involved in motor learning differentially predict skill acquisition potential in YA and OA.
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Keywords:  bimanual skill acquisition; global volume; motor learning; subcortical structures; subregional shape

Mesh:

Year:  2018        PMID: 27909002     DOI: 10.1093/cercor/bhw382

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  9 in total

1.  Structure-function multi-scale connectomics reveals a major role of the fronto-striato-thalamic circuit in brain aging.

Authors:  Paolo Bonifazi; Asier Erramuzpe; Ibai Diez; Iñigo Gabilondo; Matthieu P Boisgontier; Lisa Pauwels; Sebastiano Stramaglia; Stephan P Swinnen; Jesus M Cortes
Journal:  Hum Brain Mapp       Date:  2018-07-13       Impact factor: 5.038

2.  A combined diffusion-weighted and electroencephalography study on age-related differences in connectivity in the motor network during bimanual performance.

Authors:  Parinaz Babaeeghazvini; Laura Milena Rueda-Delgado; Hamed Zivari Adab; Jolien Gooijers; Stephan Swinnen; Andreas Daffertshofer
Journal:  Hum Brain Mapp       Date:  2018-12-26       Impact factor: 5.038

3.  Predicting auditory feedback control of speech production from subregional shape of subcortical structures.

Authors:  Xiaoying Tang; Na Chen; Siyun Zhang; Jeffery A Jones; Baofeng Zhang; Jingyuan Li; Peng Liu; Hanjun Liu
Journal:  Hum Brain Mapp       Date:  2017-10-23       Impact factor: 5.038

4.  Age-related differences in GABA levels are driven by bulk tissue changes.

Authors:  Celine Maes; Lize Hermans; Lisa Pauwels; Sima Chalavi; Inge Leunissen; Oron Levin; Koen Cuypers; Ronald Peeters; Stefan Sunaert; Dante Mantini; Nicolaas A J Puts; Richard A E Edden; Stephan P Swinnen
Journal:  Hum Brain Mapp       Date:  2018-05-02       Impact factor: 5.038

5.  Prefronto-Striatal Structural Connectivity Mediates Adult Age Differences in Action Selection.

Authors:  Amirhossein Rasooli; Hamed Zivari Adab; Sima Chalavi; Thiago S Monteiro; Thijs Dhollander; Dante Mantini; Stephan P Swinnen
Journal:  J Neurosci       Date:  2020-11-19       Impact factor: 6.167

6.  The role of glucocorticoid receptor gene in the association between attention deficit-hyperactivity disorder and smaller brain structures.

Authors:  Claiton H D Bau; Diego L Rovaris; Cibele E Bandeira; Eugenio H Grevet; Renata B Cupertino; Maria E de Araujo Tavares; Clara S Gusmão; Djenifer B Kappel; Eduardo S Vitola; Felipe A Picon; Luís A Rohde; Bruna S da Silva
Journal:  J Neural Transm (Vienna)       Date:  2021-10-05       Impact factor: 3.575

7.  High-order functional redundancy in ageing explained via alterations in the connectome in a whole-brain model.

Authors:  Marilyn Gatica; Fernando E Rosas; Pedro A M Mediano; Ibai Diez; Stephan P Swinnen; Patricio Orio; Rodrigo Cofré; Jesus M Cortes
Journal:  PLoS Comput Biol       Date:  2022-09-02       Impact factor: 4.779

8.  Cognition and action: a latent variable approach to study contributions of executive functions to motor control in older adults.

Authors:  Caroline Seer; Justina Sidlauskaite; Florian Lange; Geraldine Rodríguez-Nieto; Stephan P Swinnen
Journal:  Aging (Albany NY)       Date:  2021-06-24       Impact factor: 5.682

9.  Are there differences in brain morphology according to handedness?

Authors:  Han Jang; Jae Youn Lee; Kang Il Lee; Kang Min Park
Journal:  Brain Behav       Date:  2017-05-23       Impact factor: 2.708

  9 in total

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