Editorial: Effectiveness of exercise and diet on movement disorders

Frontiers in Aging Neuroscience, Journal Year: 2025, Volume and Issue: 17

Published: Feb. 20, 2025

Movement disorders (MD) are complex neurological conditions affecting the amount and fluidity of available movement control. These have multiple possible causes do not fit into other established diagnostic categories. MD, which include such as Parkinson's disease (PD), system atrophy (MSA), progressive supranuclear palsy (PSP), corticobasal syndrome, cervical dystonia others, a significant impact on quality life individuals worldwide but prevalence incidence rates vary by condition geographical area (Abbas et al., 2018).The MD increase with age (Wenning 2005), essential tremor PD being more common (Luo 2025;Song 2021). The spectrum impairments is very broad, bradykinesia or hypokinesia at one end tremor, dystonia, chorea, stereotypies, athetosis, myoclonus dyskinesias (Jankovic & Lang, In hyperkinetic disorders, abnormal involuntary movements may occur rest during voluntary be rhythmic (e.g. tremor), sustained dystonia) irregular chorea myoclonus) (Arabia 2022;Novellino 2009;Perju-Dumbrava Kempster, 2020;Stephen 2023). On hand, hypokinetic characterized reduction in and/or difficulty initiating often no identifiable cause referred to primary opposed secondary causes, infection (Desai 2024;Divya 2024). Both groups present both motor non-motor symptoms present, diagnosis management these challenging task for healthcare professionals, especially knowing that criteria frameworks diverse (Mestre 2023).For complete assessment, historical -family personal, including birth history early developmental abnormalities -and clinical features obtained physical examination laboratory testing paramount importance addition, technologysuch apps wearables -has shown promising results increasing objectivity assessment (Caroppo 2025;Vanmechelen 2023;Willemse 2024) proper validation studies needed confidence clinicians implementing solutions practice.The people also challenging, they experience difficulties mobility, balance activities daily living, symptoms, cognitive changes psychiatric manifest progresses. Given nature conditions, palliative approach can help throughout course long-term (Miyasaki 2022). Pharmacological therapy cornerstone (Jankovic, 2009;Pirker 2023) approaches, gene Kim Chang, 2024), becoming increasingly relevant. Moreover, evidence highlights therapeutic potential non-pharmacological approaches exercise therapy, nutrition-based interventions, reduce progression severity (Ferrazzoli 2022;Lister, 2020;Macías-García 2024;Zhang 2024).The aim this Research Topic was share ideas, opinions, comments latest research providing mechanisms safety exercise-and diet-induced neuroprotective, anti-inflammatory immunological) strategies improve adherence empowerment different contexts, gaps still need filled high evidence. This includes eight papers address questions. Four original four literature reviews deepen our understanding interventions their practical applications. Among contributions, Mateus Caldas reported three cases palsy, describing benefits physiotherapy through improving functionality life; cross-sectional study strengthened knowledge association between function health-related (Ge al.), insights aspects should tackled professionals; Yaqoob al. demonstrated an accelerometer-based gait sit-to-stand tasks has good agreement direct observation; Taloria presented non-randomized demonstrating multimodal (exercise, speech cognitive) training programme PD.The systematic published provided valuable certainty existing guide working well future area. Homann showed randomised controlled trials analysing Vitamin D supplementation later show benefit limited number MD. However, mainly led authors conclude there clear further For robust provide researchers. Yuan network meta-analysis identifying specific modalities dosages significantly patients PD, aquatic emerging most effective modality. findings partially challenged Liu who concluded hydrotherapy had positive maintenance effect population, effects function, life. Finally, Cui highlighted ACSM recommendations when prescribing higher compliance were beneficial balance, population.Taking account contributions Topic, body diet been strengthened. less dietary interventions.As expected increase, needed. Diet key components multidisciplinary rehabilitation strategy lacking, particularly interventions. contributes growing supporting We hope will inspire inform practice affected conditions.

Language: Английский

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Assessing sensor-derived features from a wrist-worn wearable device as indicators of upper extremity function in individuals with cervical spinal cord injury

Archives of Physical Medicine and Rehabilitation, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

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Better Understanding Rehabilitation of Motor Symptoms: Insights from the Use of Wearables

Pragmatic and Observational Research, Journal Year: 2025, Volume and Issue: Volume 16, P. 67 - 93

Published: March 1, 2025

Movement disorders present a substantial challenge by adversely affecting daily routines and overall well-being through diverse spectrum of motor symptoms. Traditionally, symptoms have been evaluated manual observational methods patient-reported outcomes. While those approaches are valuable, they limited their subjectivity. In contrast, wearable technologies (wearables) provide objective assessments while actively supporting rehabilitation continuous tracking, real-time feedback, personalized physical therapy-based interventions. The aim this literature review is to examine current research on the use wearables in symptoms, focusing features, applications, impact improving function. By exploring protocols, metrics, study findings, aims comprehensive overview how being used support optimize To achieve that aim, systematic search was conducted. Findings reveal gait disturbance postural balance primary extensively studied with tremor freezing (FoG) also receiving attention. Wearable sensing ranges from bespoke inertial and/or electromyography commercial units such as personal devices (ie, smartwatch). Interactive (virtual reality, VR augmented AR) immersive (headphones), along robotic systems (exoskeletons), proven be effective skills. Auditory cueing (via smartwatches or headphones), aids training rhythmic visual cues AR glasses) enhance exercises feedback. development treatment protocols incorporate via could adherence engagement potentially lead long-term improvements. However, evidence sustained effectiveness wearable-based interventions remains limited.

Language: Английский

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Improving naturalistic neuroscience with patient engagement strategies

Frontiers in Human Neuroscience, Journal Year: 2024, Volume and Issue: 17

Published: Jan. 8, 2024

Introduction The clinical implementation of chronic electrophysiology-driven adaptive deep brain stimulation (DBS) algorithms in movement disorders requires reliable representation motor and non-motor symptoms electrophysiological biomarkers, throughout normal life (naturalistic). To achieve this, there is the need for high-resolution -quality objective subjective symptom monitoring parallel to biomarker recordings. realize these recordings, an active participation engagement investigated patients necessary. date, has been little research into patient strategies DBS or Concepts results We here present our concept first a strategy study. After discussing current state literature, we objectives, methodology consequences regarding study design, data acquisition, infrastructure. Nine with Parkinson’s disease their caregivers participated meeting, input led changes design. Especially, helped us designing study-set-up meetings support structures. Conclusion believe that increases compliance motivation through scientific empowerment patients. While considering opinion on sensors questionnaire questions may lead more precise was also high demand Hence, recommend planning studies complex designs, long recording durations individual participation.

Language: Английский

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IMU-based systems for upper limb kinematic analysis in clinical applications: a systematic review

IEEE Sensors Journal, Journal Year: 2024, Volume and Issue: 24(18), P. 28576 - 28594

Published: Aug. 9, 2024

Language: Английский

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Head movement dynamics in dystonia: a multi-centre retrospective study using visual perceptive deep learning

npj Digital Medicine, Journal Year: 2024, Volume and Issue: 7(1)

Published: June 18, 2024

Abstract Dystonia is a neurological movement disorder characterised by abnormal involuntary movements and postures, particularly affecting the head neck. However, current clinical assessment methods for dystonia rely on simplified rating scales which lack ability to capture intricate spatiotemporal features of dystonic phenomena, hindering management limiting understanding underlying neurobiology. To address this, we developed visual perceptive deep learning framework that utilizes standard videos comprehensively evaluate quantify disease states impact therapeutic interventions, specifically brain stimulation. This overcomes limitations traditional offers an efficient accurate method rater-independent evaluating monitoring patients. framework, leveraged semi-standardized video data collected in three retrospective, longitudinal cohort studies across seven academic centres. We extracted static angle excursions validation derived kinematic variables reflecting naturalistic dynamics predict severity, subtype, neuromodulation effects. The was also applied fully independent generalised patients comparison between sub-types. Computer vision-derived measurements showed strong correlation with clinically assigned scores. Across comparisons, identified consistent from full assessments encoding information critical effects neural circuit deviations used scoring. Our machine reveals pathosignatures dystonia, potentially augmenting management, facilitating scientific translation, informing personalized precision neurology approaches.

Language: Английский

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Quantitative Upper Limb Impairment Assessment for Stroke Rehabilitation: A Review

IEEE Sensors Journal, Journal Year: 2024, Volume and Issue: 24(6), P. 7432 - 7447

Published: Feb. 5, 2024

With the number of people surviving a stroke soaring, automated upper limb impairment assessment has been extensively investigated in past decades since it lays foundation for personalized precision rehabilitation. The recent advancement sensor systems, such as high-precision and real-time data transmission, have made possible to quantify kinematic physiological parameters patients. In this article, we review development sensor-based quantitative assessment, concentrating on capable comprehensively accurately detecting motion measuring indicators achieve objective rapid quantification severity. article discusses various features used by different sensors, detectable actions, their utilization techniques, effects placement system accuracy stability. addition, both advantages disadvantages model-based model-free methods are also reviewed. Furthermore, challenges encompassing comprehensive medical scales, neurological deficits random movement detection, placement, sensors discussed.

Language: Английский

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Sensor-Based Quantification of MDS-UPDRS III Subitems in Parkinson’s Disease Using Machine Learning

Sensors, Journal Year: 2024, Volume and Issue: 24(7), P. 2195 - 2195

Published: March 29, 2024

Wearable sensors could be beneficial for the continuous quantification of upper limb motor symptoms in people with Parkinson’s disease (PD). This work evaluates use two inertial measurement units combined supervised machine learning models to classify and predict a subset MDS-UPDRS III subitems PD. We attached compact wearable on dorsal part each hand 33 PD 12 controls. Each participant performed six clinical movement tasks parallel an assessment III. Random forest (RF) were trained sensor data scores. An overall accuracy 94% was achieved classifying tasks. When employed scores, averaged area under receiver operating characteristic values ranged from 68% 92%. Motor scores additionally predicted using RF regression model. In comparative analysis, support vector outperformed specific Furthermore, our results surpass literature certain cases. The methods developed this serve as base future studies, where home-based assessments pharmacological effects function complement regular assessments.

Language: Английский

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A First Methodological Development and Validation of ReTap: An Open-Source UPDRS Finger Tapping Assessment Tool Based on Accelerometer-Data

Sensors, Journal Year: 2023, Volume and Issue: 23(11), P. 5238 - 5238

Published: May 31, 2023

Bradykinesia is a cardinal hallmark of Parkinson's disease (PD). Improvement in bradykinesia an important signature effective treatment. Finger tapping commonly used to index bradykinesia, albeit these approaches largely rely on subjective clinical evaluations. Moreover, recently developed automated scoring tools are proprietary and not suitable for capturing intraday symptom fluctuation. We assessed finger (i.e., Unified Disease Rating Scale (UPDRS) item 3.4) 37 people with (PwP) during routine treatment follow ups analyzed their 350 sessions 10-s using accelerometry. Herein, we validated ReTap, open-source tool the prediction scores. ReTap successfully detected blocks over 94% cases extracted clinically relevant kinematic features per tap. Importantly, based features, predicted expert-rated UPDRS scores significantly better than chance hold out validation sample (n = 102). ReTap-predicted correlated positively expert ratings 70% individual subjects holdout dataset. has potential provide accessible reliable scores, either clinic or at home, may contribute detailed analyses bradykinesia.

Language: Английский

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Reliability and Discriminative Validity of Wearable Sensors for the Quantification of Upper Limb Movement Disorders in Individuals with Dyskinetic Cerebral Palsy

Sensors, Journal Year: 2023, Volume and Issue: 23(3), P. 1574 - 1574

Published: Feb. 1, 2023

Background-Movement patterns in dyskinetic cerebral palsy (DCP) are characterized by abnormal postures and involuntary movements. Current evaluation tools DCP subjective time-consuming. Sensors could yield objective information on pathological DCP, but their reliability has not yet been evaluated. The objectives of this study were to evaluate (i) (ii) discriminative ability sensor parameters. Methods-Inertial measurement units placed the arm, forearm, hand individuals with without while performing reach-forward, reach-and-grasp-vertical, reach-sideways tasks. Intra-class correlation coefficients (ICC) calculated for reliability, Mann-Whitney U-tests between-group differences. Results-Twenty-two extremities (mean age 16.7 y) twenty 17.2 ICC values all parameters except jerk sample entropy ranged from 0.50 0.98 during reach forwards/sideways 0.40 0.95 reach-and-grasp vertical. Jerk maximal acceleration/angular velocity significantly higher group comparison peers. Conclusions-This was first assess reporting high between- within-session majority These findings suggest that movements can be reliably captured using a selection

Language: Английский

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