Ongoing monitoring of neuroleptic-induced extrapyramidal side effects (EPS) is important to maximize treatment outcome, improve medication adherence and reduce re-hospitalization. Traditional approaches for assessing EPS such as Parkinsonism, tardive akathisia, or dyskinesia rely upon clinical ratings. However, these observer-based EPS severity ratings can be unreliable and are subject to examiner bias. In contrast, quantitative instrumental methods are less subject to bias. Most instrumental methods have only limited clinical utility because of their complexity and costs. This paper describes an easy-to-use instrumental approach based on handwriting movements for quantifying EPS. Here, we present findings from psychiatric patients treated with atypical (second generation) antipsychotics. The handwriting task consisted of a sentence written several times within a 2 cm vertical boundary at a comfortable speed using an inkless pen and digitizing tablet. Kinematic variables including movement duration, peak vertical velocity and the number of acceleration peaks, and average normalized jerk (a measure of smoothness) for each up or down stroke and their submovements were analyzed. Results from 59 psychosis patients and 46 healthy comparison subjects revealed significant slowing and dysfluency in patients compared to controls. We observed differences across medications and daily dose. These findings support the ecological validity of handwriting movement analysis as an objective behavioral biomarker for quantifying the effects of antipsychotic medication and dose on the motor system.
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http://dx.doi.org/10.1016/j.psychres.2009.07.005 | DOI Listing |
J Funct Morphol Kinesiol
December 2024
Department of Experimental and Clinical Medicine, University of Florence, 50134 Firenze, Italy.
Background/objectives: Fine motor movements are essential for daily activities, such as handwriting, and rely heavily on visual information to enhance motor complexity and minimize errors. Tracing tasks provide an ecological method for studying these movements and investigating sensorimotor processes. To date, our understanding of the influence of different quantities of visual information on fine motor control remains incomplete.
View Article and Find Full Text PDFCogn Neurodyn
December 2024
Institute of Cognitive Sciences and Technologies, National Research Council, Via S. Martino Della Battaglia, 44, 00185 Rome, Italy.
A central theme of theoretical neurobiology is that most of our cognitive operations require processing of discrete sequences of items. This processing in turn emerges from continuous neuronal dynamics. Notable examples are sequences of words during linguistic communication or sequences of locations during navigation.
View Article and Find Full Text PDFCureus
November 2024
Graduate School of Medical, Kitasato University, Sagamihara, JPN.
Background: The standard treatment for the conservative management of a proximal phalanx fracture of the little finger involves immobilizing the fracture site with a cast. However, cast immobilization presents challenges in maintaining hygiene during treatment and restricts the fine motor movements of the fingers. In this study, we developed a removable orthosis that immobilizes only the ring and little fingers.
View Article and Find Full Text PDFData Brief
December 2024
Department of Computer Science, Akal University, Bathinda, Punjab 151302, India.
This study introduces a comprehensive methodology for gathering datasets to recognize handwritten Punjabi alphabets, utilizing Inertial Measurement Units (IMUs) to capture the dynamic movement patterns inherent in handwriting. The approach considers the diverse writing styles found across Punjabi writers, which presents unique challenges due to regional variations in script. The dataset and collection system are designed to enhance recognition accuracy by harnessing this diversity.
View Article and Find Full Text PDFIEEE Trans Neural Syst Rehabil Eng
November 2024
Handwriting Brain-Computer Interfaces (BCIs) provides a promising communication avenue for individuals with paralysis. While English-based handwriting BCIs have achieved rapid typewriting with 26 lowercase letters (mostly containing one stroke each), it is difficult to extend to complex characters, especially those with multiple strokes and large character sets. The Chinese characters, including over 3500 commonly used characters with 10.
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