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Published on: November 21, 2013
Graphomotor Dysfluency as a Predictor of Disease Progression in Premanifest Huntington's Disease
Michael Caligiuri1, Braden Culbert2, Nikita Prasad2
1Department of Psychiatry, UC San Diego, La Jolla, CA, USA.
Insights
Graphomotor assessments, including handwriting and drawing, can predict Huntington's disease (HD) progression in premanifest individuals. Early signs of motor decline in Huntington's disease are detectable through these novel measures.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Clinical Neurology
Background:
- Traditional methods for tracking Huntington's disease (HD) decline rely on observer-based scales like the Unified Huntington's Disease Rating Scale (UHDRS).
- Identifying early motor markers in premanifest HD is crucial for timely intervention and disease management.
Purpose of the Study:
- To investigate the predictive value of graphomotor assessments (handwriting and drawing movements) in premanifest Huntington's disease.
- To determine if graphomotor performance at baseline can forecast future motor decline measured by the UHDRS.
Main Methods:
- Seventeen gene-positive premanifest HD subjects underwent comprehensive clinical, cognitive, motor, and graphomotor assessments.
- Linear multiple regression analysis was used to identify baseline graphomotor factors associated with changes in the comprehensive UHDRS (cUHDRS).
- Follow-up intervals ranged from 9 to 36 months, with an average follow-up of 21.2 months.
Main Results:
- Multivariate regression models utilizing graphomotor variables explained a significant portion of the variability in cUHDRS change scores (R2 coefficients ranging from 0.71 to 0.80).
- The most effective model indicated that increased pen movement dysfluency and stroke-stroke variability at baseline predicted greater decline on the cUHDRS.
- These findings highlight the sensitivity of graphomotor tasks in detecting early pathological changes.
Conclusions:
- Graphomotor dysfluency measures in premanifest or prodromal HD individuals are associated with subsequent decline on a multidimensional index of HD morbidity.
- These findings suggest that graphomotor assessments offer a promising, objective tool for monitoring HD progression before a formal diagnosis.
- This research supports the use of graphomotor analysis for early detection and tracking of neurodegenerative changes in Huntington's disease.
Background:
Prior studies have relied on conventional observer-based severity ratings such as the Unified Huntington's Disease Rating Scale (UHDRS) to identify early motor markers of decline in Huntington's disease (HD).
Objective:
The present study examined the predictive utility of graphomotor measures handwriting and drawing movements.
Methods:
Seventeen gene-positive premanifest HD subjects underwent comprehensive clinical, cognitive, motor, and graphomotor assessments at baseline and at follow-up intervals ranging from 9-36 months. Baseline graphomotor assessments were subjected to linear multiple regression procedures to identify factors associated with change on the comprehensive UHDRS index.
Results:
Subjects were followed for an average of 21.2 months. Three multivariate regression models based on graphomotor variables derived from a complex loop task, a maximum speed circle drawing task and a combined task returned adjusted R2 coefficients of 0.76, 0.71, and 0.80 respectively accounting for a significant portion of the variability in cUHDRS change score. The best-fit model based on the combined tasks indicated that greater decline on the cUHDRS was associated with increased pen movement dysfluency and stroke-stroke variability at baseline.
Conclusion:
Performance on multiple measures of graphomotor dysfluency assessed during the premanifest or prodromal stage in at-risk HD individuals was associated with decline on a multidimensional index of HD morbidity preceding an HD diagnosis.
