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Method Article
Handwriting analysis software significantly improves upon existing instruments measuring movement disorders. Individuals at risk for psychosis and healthy controls completed handwriting tasks to test for dyskinesia. Results suggest that youth at risk for psychosis exhibit dyskinesia and that handwriting analysis could significantly contribute to wider dissemination of early identification efforts
Growing evidence suggests that movement abnormalities are a core feature of psychosis. One marker of movement abnormality, dyskinesia, is a result of impaired neuromodulation of dopamine in fronto-striatal pathways. The traditional methods for identifying movement abnormalities include observer-based reports and force stability gauges. The drawbacks of these methods are long training times for raters, experimenter bias, large site differences in instrumental apparatus, and suboptimal reliability. Taking these drawbacks into account has guided the development of better standardized and more efficient procedures to examine movement abnormalities through handwriting analysis software and tablet. Individuals at risk for psychosis showed significantly more dysfluent pen movements (a proximal measure for dyskinesia) in a handwriting task. Handwriting kinematics offers a great advance over previous methods of assessing dyskinesia, which could clearly be beneficial for understanding the etiology of psychosis.
The period preceding the onset of psychosis is of clinical and research interest as it may shed light on formal psychosis (prior to when a number of third variable confounds such as medication obfuscate our understanding), and also serves as a viable point of intervention (roughly ⅓ of youth showing a prodromal syndrome go on to develop schizophrenia in a 2 year period, and several studies suggest that psychosocial, cognitive training, and pharmacological interventions may ameliorate the course of illness)1. This prodromal period is marked by attenuated positive symptoms (perceptual abnormalities, suspiciousness, feelings of grandiosity, or unusual th....
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1. Participants
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There were no significant differences between groups on demographic characteristics including age, years of education, or parental education (see Table 1 for a demographic breakdown of the participants). Chi Square tests revealed significant differences between groups on gender χ2 (1, N = 36) = 5.46, p≤0.05, with more males in the UHR group and more females in the control group. There was a significant group differences in tobacco usage frequency, t(22.9) = 2.15, p≤0.05, showi.......
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This study found significant evidence of more dysfluent pen movements and the presence of dyskinesia in an UHR sample using a handwriting analysis program to examine movement abnormalities.
Traditionally, observer based rating scales have been utilized to measure movement abnormalities in order to monitor drug side effects15-17. However, the observer ratings suffer from significant drawbacks including long training times for raters, experimenter error, and suboptimal reliability
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The authors Derek J. Dean, Michael Caligiuri, and Vijay A. Mittal declare they have no competing financial interests. The author, Hans-Leo Teulings is the owner of NeuroScript who developed and markets the MovAlyzeR software to record and analyze pen movements.
This work was supported by National Institute of Health Grants R01MH094650 to Dr. Mittal.
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Name | Company | Catalog Number | Comments |
Fujitsu Lifebook T901 Tablet Computer | Fujitsu Ltd. | http://www.shopfujitsu.com/store/ | |
Neuroscript MovAlyzeR | Neuroscript LLC | http://www.neuroscript.net/movalyzer.php |
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