Cortical signatures of precision grip force control in children, adolescents and adults

Research output: Contribution to journalJournal articlepeer-review

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Cortical signatures of precision grip force control in children, adolescents and adults. / Beck, Mikkel Malling; Spedden, Meaghan Elizabeth; Dietz, Martin; Karabanov, Anke Ninija; Christensen, Mark Schram; Lundbye-Jensen, Jesper.

In: eLife, Vol. 10, e61018, 2021.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Beck, MM, Spedden, ME, Dietz, M, Karabanov, AN, Christensen, MS & Lundbye-Jensen, J 2021, 'Cortical signatures of precision grip force control in children, adolescents and adults', eLife, vol. 10, e61018. https://doi.org/10.7554/eLife.61018

APA

Beck, M. M., Spedden, M. E., Dietz, M., Karabanov, A. N., Christensen, M. S., & Lundbye-Jensen, J. (2021). Cortical signatures of precision grip force control in children, adolescents and adults. eLife, 10, [e61018]. https://doi.org/10.7554/eLife.61018

Vancouver

Beck MM, Spedden ME, Dietz M, Karabanov AN, Christensen MS, Lundbye-Jensen J. Cortical signatures of precision grip force control in children, adolescents and adults. eLife. 2021;10. e61018. https://doi.org/10.7554/eLife.61018

Author

Beck, Mikkel Malling ; Spedden, Meaghan Elizabeth ; Dietz, Martin ; Karabanov, Anke Ninija ; Christensen, Mark Schram ; Lundbye-Jensen, Jesper. / Cortical signatures of precision grip force control in children, adolescents and adults. In: eLife. 2021 ; Vol. 10.

Bibtex

@article{f9acabba2ac44e5ba9a4ed810d3a827b,
title = "Cortical signatures of precision grip force control in children, adolescents and adults",
abstract = "Human dexterous motor control improves from childhood to adulthood, but little is known about the changes in cortico-cortical communication that support such ontogenetic refinement of motor skills. To investigate age-related differences in connectivity between cortical regions involved in dexterous control we analyzed electroencephalographic data from 88 individuals (range 8-30y) performing a visually-guided precision grip task using Dynamic Causal Modelling (DCM) and Parametric Empirical Bayes (PEB). Our results demonstrate that bidirectional coupling in a canonical 'grasping network' is associated with precision grip performance across age groups. We further demonstrate greater backward coupling from higher-order to lower-order sensorimotor regions from late adolescence in addition to differential associations between connectivity strength in a premotor-prefrontal network and motor performance for different age groups. We interpret these findings as reflecting greater use of top-down and executive control processes with development. These results expand our understanding of the cortical mechanisms that support dexterous abilities through development.",
keywords = "Faculty of Science, Development, Motor control, Electroencephalography, Effective connectivity",
author = "Beck, {Mikkel Malling} and Spedden, {Meaghan Elizabeth} and Martin Dietz and Karabanov, {Anke Ninija} and Christensen, {Mark Schram} and Jesper Lundbye-Jensen",
note = "CURIS 2021 NEXS 215",
year = "2021",
doi = "10.7554/eLife.61018",
language = "English",
volume = "10",
journal = "eLife",
issn = "2050-084X",
publisher = "eLife Sciences Publications Ltd.",

}

RIS

TY - JOUR

T1 - Cortical signatures of precision grip force control in children, adolescents and adults

AU - Beck, Mikkel Malling

AU - Spedden, Meaghan Elizabeth

AU - Dietz, Martin

AU - Karabanov, Anke Ninija

AU - Christensen, Mark Schram

AU - Lundbye-Jensen, Jesper

N1 - CURIS 2021 NEXS 215

PY - 2021

Y1 - 2021

N2 - Human dexterous motor control improves from childhood to adulthood, but little is known about the changes in cortico-cortical communication that support such ontogenetic refinement of motor skills. To investigate age-related differences in connectivity between cortical regions involved in dexterous control we analyzed electroencephalographic data from 88 individuals (range 8-30y) performing a visually-guided precision grip task using Dynamic Causal Modelling (DCM) and Parametric Empirical Bayes (PEB). Our results demonstrate that bidirectional coupling in a canonical 'grasping network' is associated with precision grip performance across age groups. We further demonstrate greater backward coupling from higher-order to lower-order sensorimotor regions from late adolescence in addition to differential associations between connectivity strength in a premotor-prefrontal network and motor performance for different age groups. We interpret these findings as reflecting greater use of top-down and executive control processes with development. These results expand our understanding of the cortical mechanisms that support dexterous abilities through development.

AB - Human dexterous motor control improves from childhood to adulthood, but little is known about the changes in cortico-cortical communication that support such ontogenetic refinement of motor skills. To investigate age-related differences in connectivity between cortical regions involved in dexterous control we analyzed electroencephalographic data from 88 individuals (range 8-30y) performing a visually-guided precision grip task using Dynamic Causal Modelling (DCM) and Parametric Empirical Bayes (PEB). Our results demonstrate that bidirectional coupling in a canonical 'grasping network' is associated with precision grip performance across age groups. We further demonstrate greater backward coupling from higher-order to lower-order sensorimotor regions from late adolescence in addition to differential associations between connectivity strength in a premotor-prefrontal network and motor performance for different age groups. We interpret these findings as reflecting greater use of top-down and executive control processes with development. These results expand our understanding of the cortical mechanisms that support dexterous abilities through development.

KW - Faculty of Science

KW - Development

KW - Motor control

KW - Electroencephalography

KW - Effective connectivity

U2 - 10.7554/eLife.61018

DO - 10.7554/eLife.61018

M3 - Journal article

C2 - 34121656

VL - 10

JO - eLife

JF - eLife

SN - 2050-084X

M1 - e61018

ER -

ID: 272062114