English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The goal of this study was to characterize the dynamics and functional connectivity of brain networks associated with fast (short-term) learning of handwriting using functional magnetic resonance imaging. Participants (n = 12) performed a graphomotor sequence learning task (naïve subjects learning to draw simple, 3-stroke Chinese word characters), which focused the learning process on the kinematic aspects of sequence learning instead of on the production of the line segments. Learning of the graphomotor sequence was demonstrated by a progressive improvement in movement smoothness as assessed by normalized jerk scores. Examination of the patterns of regional neural activity and functional connectivity during sequence learning demonstrated that cortical regions, which may support visuomotor mapping components of the task, were active prior to subcortical areas that may play a role in encoding and refining the novel sequences. Importantly, differences in the time course of recruitment of basal ganglia and cerebellar networks suggest distinct but integrated roles in the encoding and refining of the handwritten sequences. This implies multiple kinematic representations of graphomotor trajectories may be encoded at various spatiotemporal scales.

Neural Substrates of Graphomotor Sequence Learning: A Combined fMRI and Kinematic Study