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Background: The occurrence of tics is the main basis for the diagnosis of Gilles de la Tourette syndrome (GTS). Video‐based tic assessments are time consuming. Objective: The aim was to assess the potential of automated video‐based tic detection for discriminating between videos of adults with GTS and healthy control (HC) participants. Methods: The quantity and temporal structure of automatically detected tics/extra movements in videos from adults with GTS (107 videos from 42 participants) and matched HCs were used to classify videos using cross‐validated logistic regression. Results: Videos were classified with high accuracy both from the quantity of tics (balanced accuracy of 87.9%) and the number of tic clusters (90.2%). Logistic regression prediction probability provides a graded measure of diagnostic confidence. Expert review of about 25% of lower‐confidence predictions could ensure an overall classification accuracy above 95%. Conclusions: Automated video‐based methods have a great potential to support quantitative assessment and clinical decision‐making in tic disorders. [ABSTRACT FROM AUTHOR]

The article discusses the Modified Rush Video-Based Tic Rating Scale (MRVS) and proposes changes to improve its standardization. However, the authors of the article raise concerns about some of the proposed changes, such as the lack of an instruction to not suppress tics and the reduction of rating time, which may result in the underrepresentation of tics. They also question the validity of the comparison between tic counts from different intervals and the increase in internal consistency for the revised score. Additionally, the authors argue that a high convergent validity between the MRVS and the Yale Global Tic Severity Scale (YGTSS) is not desirable, as they assess different aspects of the condition. Overall, the authors recommend further evaluation and reconsideration of the suggested changes. [Extracted from the article]

Functional movement disorders are amongst the most common and disabling neurological conditions, placing a significant burden on the healthcare system. Despite the frequency and importance of functional movement disorders, our understanding of the underlying pathophysiology is limited, hindering the development of causal treatment options. Traditionally, functional movement disorders were considered as a psychiatric condition, associated with involuntary movements triggered by psychological stressors. Recent neurophysiological studies have unveiled cognitive alterations in affected individuals, suggesting that functional movement disorders might be better characterized by overarching neural principles governing cognitive functions. For instance, recent research has shown that the retrieval of stimulus-response bindings is altered in patients with functional movement disorders. Building upon these recent findings, our study delves into whether the initial integration of stimulus and response information is also disrupted in patients with functional movement disorders. To accomplish this, we reanalysed previously collected EEG data using refined analysis methods that provide insights into oscillatory activity and functional neuroanatomy associated with the integration of stimulus-response bindings. Our results demonstrate that post-movement beta synchronization (i) predicts behavioural stimulus-response binding and (ii) is significantly increased in patients with functional movement disorders compared to healthy controls. Utilizing beamformer analysis, we localized the difference effect to a cluster centred around the left supplementary motor area and the correlation effect to the right supplementary motor area. Extending beyond recent research that focused on the retrieval of stimulus-response bindings, our present findings reveal that the integration of stimulus and response information is already impaired in patients with functional movement disorders. These results uncover a phenomenon of hyperbinding between perception and action, which may represent a fundamental mechanism contributing to the movement impairments in patients with functional movement disorders., Competing Interests: The authors report no competing interests., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Guarantors of Brain.)