Orthographic character complexity modulates dynamic neural activity in skilled handwriting

Handwriting is an outstanding case of a highly complex and efficient fine motor skill. However, little is known about its neural underpinnings during continuous handwriting production. In the present study, we examined the effects of orthographic character complexity (i.e. the stroke number of a Chinese character) on both neural and behavioural activities during an EEG-based naturalistic fluent sentence-handwriting task from 102 adult Chinese native speakers. For each written character, the interval between finishing the preceding character and its onset (inter-character interval) as well as the amplitudes of the onset-synchronized event-related potential (ERP) in pre- and post-onset time windows was defined as dependent variables. The effects of character complexity and other confounding factors were analysed with linear mixed models. Character complexity increased the inter-character interval and significantly affected ERP amplitudes in both pre- and post-onset time windows. The ERP pattern in the pre-event time window exhibited a dipole-like activation in the left motor cortex, and its amplitude increased with character complexity in line with the documented relationship between the lateralized readiness potential and motor complexity. This study demonstrates the feasibility of studying neurocognitive processes in complex naturalistic motor tasks and extends our knowledge about the dynamic pattern of handwriting-related neural activities.

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Publication Details

Journal
British Journal of Psychology
Published
2024-10-05
DOI
https://doi.org/10.1111/bjop.12742
Citations
3
Primary Topic
Writing and Handwriting Education
Type
article
Field-Weighted Citation Impact
6.29
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article

Orthographic character complexity modulates dynamic neural activity in skilled handwriting

Guang Ouyang, Leisi Pei, Werner Sommer
3 citations
British Journal of Psychology
Writing and Handwriting Education
6.29
article

Orthographic character complexity modulates dynamic neural activity in skilled handwriting

Guang Ouyang, Leisi Pei, Werner Sommer
article en
3 citations

Abstract

Handwriting is an outstanding case of a highly complex and efficient fine motor skill. However, little is known about its neural underpinnings during continuous handwriting production. In the present study, we examined the effects of orthographic character complexity (i.e. the stroke number of a Chinese character) on both neural and behavioural activities during an EEG-based naturalistic fluent sentence-handwriting task from 102 adult Chinese native speakers. For each written character, the interval between finishing the preceding character and its onset (inter-character interval) as well as the amplitudes of the onset-synchronized event-related potential (ERP) in pre- and post-onset time windows was defined as dependent variables. The effects of character complexity and other confounding factors were analysed with linear mixed models. Character complexity increased the inter-character interval and significantly affected ERP amplitudes in both pre- and post-onset time windows. The ERP pattern in the pre-event time window exhibited a dipole-like activation in the left motor cortex, and its amplitude increased with character complexity in line with the documented relationship between the lateralized readiness potential and motor complexity. This study demonstrates the feasibility of studying neurocognitive processes in complex naturalistic motor tasks and extends our knowledge about the dynamic pattern of handwriting-related neural activities.

British Journal of PsychologyVol. 116(1)
Hong Kong Baptist University (HK), Humboldt-Universität zu Berlin (DE), Education University of Hong Kong (HK), National University of Malaysia (MY), University of Hong Kong (HK)
Quality Education
Openalex Percentile: Top 4%
Writing and Handwriting Education
6.29
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Orthographic character complexity modulates dynamic neural activity in skilled handwriting — Guang Ouyang, Leisi Pei, et al. · British Journal of Psychology (2024) | TGRS Research Map | TGRS