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Processing of self-related kinematic information embedded in static handwritten characters
Reiko Sawada1, Hirokazu Doi2, Nobuo Masataka1
1Primate Research Institute, Kyoto University, 41-2 Kanrin, Inuyama, Aichi 484-8506, Japan.
Brain Research
|April 2, 2016
Summary
Neural processing of handwriting reveals distinct brain activation patterns for self-generated versus non-self-generated characters. This self-information processing involves both bodily self-processing and self-referential brain regions.
Area of Science:
- Cognitive Neuroscience
- Psychology
Background:
- Handwritten character perception and generation are linked to motor actions.
- The neural basis for processing self-related kinematic information in static handwriting is not fully understood.
Purpose of the Study:
- To investigate the temporal dynamics of neural activation when processing self-related kinematic information in handwritten characters.
- To determine how the brain distinguishes between self- and non-self-generated handwriting.
Main Methods:
- Event-related potential (ERP) recording was used while participants judged character origin.
- Two experiments manipulated character styles and familiarity to assess self-related kinematic effects.
Main Results:
- Distinct brain activation differences were observed for self- versus non-self-written characters.
- These differences were evident in the P250 component (right posterior regions) and the late positive component (LPC; anterior midline regions).
- Activation patterns persisted even with unfamiliar or altered character styles.
Conclusions:
- Self-information in handwriting engages right-lateralized brain regions associated with bodily self-processing.
- Anterior midline brain regions involved in self-referential processing are also activated.
- These findings elucidate the neural mechanisms underlying the perception of self-generated handwriting.

