AIMC Topic: Tourette Syndrome

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Automated Sleep Detection in Movement Disorders Using Deep Brain Stimulation and Machine Learning.

Movement disorders : official journal of the Movement Disorder Society Aug 23, 2024
BACKGROUND: Automated sleep detection in movement disorders may allow monitoring sleep, potentially guiding adaptive deep brain stimulation (DBS).
Male Middle Aged Adult Sleep Actigraphy Parkinson Disease Deep Brain Stimulation Humans Machine Learning Female Aged Tourette Syndrome Essential Tremor Subthalamic Nucleus Globus Pallidus Movement Disorders
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Automated Quantification of Eye Tics Using Computer Vision and Deep Learning Techniques.

Movement disorders : official journal of the Movement Disorder Society Dec 25, 2023
BACKGROUND: Tourette syndrome (TS) tics are typically quantified using "paper and pencil" rating scales that are susceptible to factors that adversely impact validity. Video-based methods to more objectively quantify tics have been developed but are ...
Tic Disorders Tics Tourette Syndrome Deep Learning Adolescent Treatment Outcome Humans Movement Disorders
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Alternative Diagnosis of Epilepsy in Children Without Epileptiform Discharges Using Deep Convolutional Neural Networks.

International journal of neural systems Jan 8, 2019
Numerous nonepileptic paroxysmal events, such as syncope and psychogenic nonepileptic seizures, may imitate seizures and impede diagnosis. Misdiagnosis can lead to mistreatment, affecting patients' lives considerably. Electroencephalography is common...
Deep Learning Pilot Projects Child Electroencephalography Humans Sensitivity and Specificity Female Tourette Syndrome Male Epilepsy Syncope
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Multivariate pattern classification of pediatric Tourette syndrome using functional connectivity MRI.

Developmental science Feb 1, 2016
Tourette syndrome (TS) is a developmental neuropsychiatric disorder characterized by motor and vocal tics. Individuals with TS would benefit greatly from advances in prediction of symptom timecourse and treatment effectiveness. As a first step, we ap...
Magnetic Resonance Imaging Models, Neurological Male Prognosis Support Vector Machine Humans Adolescent Case-Control Studies Female Tourette Syndrome Multivariate Analysis Child Nerve Net
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Machine learning based predictive model of the risk of Tourette syndrome with SHAP value interpretation: a retrospective observational study.

Scientific reports May 26, 2025
Tourette syndrome is a relatively prevalent neurological condition, particularly among children, characterized by sudden, involuntary, repetitive movements or vocalizations. Contemporary diagnostic approaches for Tourette syndrome (TS) primarily rely...
Humans Female Machine Learning Risk Factors Child Algorithms Retrospective Studies Tourette Syndrome Male Adolescent
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