Objectives: It is estimated that up to 65 % of pwMS (people with multiple sclerosis) experience varying degrees of cognitive impairment, the most commonly affected domain being Information Processing Speed (IPS). As sleep disturbance is a predictor of detriments in IPS, the authors aimed to study the association between the severity of Restless Legs Syndrome (RLS) and Obstructive Sleep Apnea (OSA) symptoms with IPS in pwMS.
Methods: In a cross-sectional study, the authors enrolled people with relapsing-remitting and secondary progressive MS referred to the comprehensive MS center of Kashani Hospital in Isfahan, Iran. The authors used Berlin and STOP-Bang questionnaires for assessing OSA symptoms, and the International Restless Legs Syndrome Study Group (IRLSSG) scale for the presence and severity of symptoms of RLS. The authors used the Integrated Cognitive Assessment (ICA) test, a language and education-independent tool, to assess visual processing speed.
Results: The authors included 211 pwMS, with a mean age of 36.73 ± 8.9 (81.9 % female). PwMS with higher RLS scores showed lower IPS, with ICA indexes of 0.66 ± 0.09 vs. 0.61 ± 0.12 in low- and high-risk RLS groups, respectively (p < 0.01). There were no significant associations between IPS as measured by the ICA index and OSA symptom severity.
Conclusion: The authors found impairments in IPS in pwMS to be linked with the severity of RLS symptoms, but not with OSA. Considering the high prevalence and underdiagnosis of RLS in pwMS, and the profound impact of IPS on quality of life, this association highlights the importance of screening and treating RLS in this population.
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http://dx.doi.org/10.1016/j.clinsp.2024.100574 | DOI Listing |
Clinics (Sao Paulo)
January 2025
Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran. Electronic address:
Objectives: It is estimated that up to 65 % of pwMS (people with multiple sclerosis) experience varying degrees of cognitive impairment, the most commonly affected domain being Information Processing Speed (IPS). As sleep disturbance is a predictor of detriments in IPS, the authors aimed to study the association between the severity of Restless Legs Syndrome (RLS) and Obstructive Sleep Apnea (OSA) symptoms with IPS in pwMS.
Methods: In a cross-sectional study, the authors enrolled people with relapsing-remitting and secondary progressive MS referred to the comprehensive MS center of Kashani Hospital in Isfahan, Iran.
J Am Med Inform Assoc
January 2025
South London and Maudsley NHS Foundation Trust, London SE5 8AZ, United Kingdom.
Objective: A proof-of-concept study aimed at designing and implementing Visual & Interactive Engagement With Electronic Records (VIEWER), a versatile toolkit for visual analytics of clinical data, and systematically evaluating its effectiveness across various clinical applications while gathering feedback for iterative improvements.
Materials And Methods: VIEWER is an open-source and extensible toolkit that employs natural language processing and interactive visualization techniques to facilitate the rapid design, development, and deployment of clinical information retrieval, analysis, and visualization at the point of care. Through an iterative and collaborative participatory design approach, VIEWER was designed and implemented in one of the United Kingdom's largest National Health Services mental health Trusts, where its clinical utility and effectiveness were assessed using both quantitative and qualitative methods.
J Neurol
January 2025
Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, 18 Innovation Walk, Clayton, Victoria, 3800, Australia.
Background: Huntington's disease (HD) is a rare neurodegenerative disease that causes progressive cognitive, physical, and psychiatric symptoms. Computerised cognitive training (CCT) is a novel intervention that aims to improve and maintain cognitive functions through repeated practice. The effects of CCT have yet to be established in HD.
View Article and Find Full Text PDFJ Microsc
January 2025
Ningbo Key Laboratory of Micro-Nano Motion and Intelligent Control, Ningbo University, Ningbo, PR China.
The types and quantities of microorganisms in activated sludge are directly related to the stability and efficiency of sewage treatment systems. This paper proposes a sludge microorganism detection method based on microscopic phase contrast image optimisation and deep learning. Firstly, a dataset containing eight types of microorganisms is constructed, and an augmentation strategy based on single and multisamples processing is designed to address the issues of sample deficiency and uneven distribution.
View Article and Find Full Text PDFRev Sci Instrum
January 2025
Key Laboratory of Polar Materials and Devices (MOE), School of Physics and Electronic Science, East China Normal University, Shanghai 200241, China.
Increasing the degree of freedom for quantum entanglement within tensor networks can enhance the depiction of the essence in many-body systems. However, this enhancement comes with a significant increase in computational complexity and critical slowing down, which drastically increases time consumption. This work converts a quantum tensor network algorithm into a classical circuit on the Field Programmable Gate Arrays (FPGAs) and arranges the computing unit with a dense parallel design, efficiently optimizing the time consumption.
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