The geometrical analysis of handwriting as a new tool to evaluate motor symptoms in psychosis - 08/07/17
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Résumé |
Introduction |
There is growing evidence about the importance of motor symptoms in psychosis. Motor abnormalities have been observed in naive-drugs, first-episode patients. Clinical assessment of motor abnormalities normally relies upon subjective observer-based ratings. Kinematic analysis of handwriting has proved to be an objective measure of motor symptoms, but it has not been used in clinical settings.
Objectives |
In the present work, the geometrical analysis of handwriting patterns is proposed as a new tool to evaluate motor symptoms in psychosis.
Method |
Overall, 35 healthy participants and 43 patients with psychosis from San Agustín Hospital (Linares, Spain) participed in the study. Participants were asked to write with a pen on a white paper (see patterns in the Fig. 1). In order to analyze the heterogeneity of handwriting pattterns, we employed lacunarity, a nonlinear measure previously used in the analysis of biomedical images. Lacunarity measures the distribution of gap sizes in a geometrical space. A large value implies large gaps and clumping of points, whereas a small value suggests a uniform distribution with shorter gaps.
Results |
Lacunarity was significantly higher in handwritten patterns from patients than in controls. In addition, we found a higher heterogeneity in patients with motor symptoms in comparison with patients without motor symptoms.
Conclusions |
Our results suggest that analysis of handwritten patterns can be a valuable method in the evaluation of motor symptoms.
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Vol 41 - N° S
P. S807-S808 - avril 2017 Retour au numéro
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