Clinical Trials Logo

Movement Disorders clinical trials

View clinical trials related to Movement Disorders.

Filter by:

NCT ID: NCT05852379 Not yet recruiting - Clinical trials for Spinal Cord Injuries

Transcutaneous Auricular Vagus Nerve Stimulation in Spinal Cord Injury

taVNS
Start date: July 1, 2023
Phase: N/A
Study type: Interventional

This study is a single blinded prospective randomized monocentric study examining the effectiveness of transcutaneous auricular vagus nerve stimulation paired with rehabilitation and low frequency/antidromic stimulation of the pelvic somatic nerves. The investigator hypothesize that treatment using transcutaneous auricular vagus nerve stimulation will improve gait recovery in spinal cord injured participants already treating by rehabilitation and pelvic nerves neuromodulation.

NCT ID: NCT05800470 Not yet recruiting - Parkinson Disease Clinical Trials

The Effects of fNIRS-based Neurofeedback Training on Balance and Gait in Parkinson's Disease

Start date: June 15, 2024
Phase: N/A
Study type: Interventional

A cross-sectional study (part 1) aims to investigate the influence of fatigue on the MI ability in PD compared to healthy controls. A randomized controlled trial (part 2) aims to compare the effect of fNIRS-based NFB-MI on balance and gait performance versus MI only in people with PD.

NCT ID: NCT05640661 Not yet recruiting - Shoulder Pain Clinical Trials

Effects of Terminal Visual Feedback Therapy After Immersive Virtual Reality in Patients With Chronic Shoulder Pain

Start date: December 4, 2023
Phase: N/A
Study type: Interventional

The goal of this clinical trial is effect of terminal visual feedback therapy following the use of immersive virtual reality(VRi) effects on pain,kinesiophobia, fear of pain, disability, self-efficacy, grip strength and range of motion in motion in people with chronic shoulder pain compare with just VRi. The main question[s] it aims to answer are: - Can terminal visual feedback therapy following the use of immersive virtual reality software decrease movement-evoked pain in patients with chronic shoulder pain compared with just VRi? - Can terminal visual feedback therapy following the use of immersive virtual reality software increase shoulder flexion range of motion in patients with chronic shoulder pain compared with just VRi? Participants will use a visual feedback therapy following the use of immersive virtual reality software compared with just specific VRi software

NCT ID: NCT05639764 Not yet recruiting - Shoulder Pain Clinical Trials

Immersive Virtual Reality for Pain-related Movement Dysfunctions in Patients With Chronic Shoulder Pain

Start date: April 3, 2023
Phase: N/A
Study type: Interventional

The goal of this clinical trial is to the use of VRi specified effects on pain, kinesiophobia, fear of pain, disability, self-efficacy, grip strength and range of motion in motion in people with chronic shoulder pain. The main question[s] it aims to answer are: - Can specific immersive virtual reality software decrease movement-evoked pain in patients with chronic shoulder pain compared to non-specific software? - Can specific immersive virtual reality software increase shoulder flexion range of motion in patients with chronic shoulder pain compared to non-specific software? Participants will use a specific VRi software compared with non-specific VRi software

NCT ID: NCT05599659 Not yet recruiting - Clinical trials for Parkinson's Disease and Parkinsonism

The Calgary Movement Disorders Advanced Care Pilot Program

ACT for PD
Start date: November 4, 2022
Phase: N/A
Study type: Interventional

The goal of this clinical trial is to analyse the effect of palliative care interventions on quality of life, patient satisfaction, carepartner burden and health care utilization patterns in patients living with parkisonism and their carepartners. Participants will: - Receive multidisciplinary palliative care. - Answer questions related to the quality of life, patient satisfaction, carepartner burden and health care utilization patterns.

NCT ID: NCT05522595 Not yet recruiting - Clinical trials for Binocular Vision Disorder

Performance and Safety Evaluation of the S360 Medical Device Software.

ArgoS360
Start date: November 2, 2023
Phase: N/A
Study type: Interventional

The aim of this interventional, cross-sectional study is to evaluate the performance and the safety of the medical device software S360. This clinical investigation is performed in order to demonstrate the conformity of the medical device, when operating under the normal conditions of its intended use, in accordance with the General Safety and Performance Requirements pertaining to clinical evaluation of the device regarding the Medical Device Regulation (MDR) 2017/745 (EU).

NCT ID: NCT05201521 Not yet recruiting - Clinical trials for Functional Movement Disorders

Chinese FMDs Registry

Start date: January 27, 2022
Phase:
Study type: Observational

The purpose of the Chinese Functional Movement Disorders Registry (FMDs-China) is to develop a database of patients with Functional Movement Disorders (FMDs) in China.

NCT ID: NCT05151874 Not yet recruiting - Movement Disorders Clinical Trials

Valuation of the Evolution of Passive Mobility in the Spastic Upper Limb After Injection of Abobotulinumtoxin(Dysport®)

ROM-ICTUS
Start date: January 2022
Phase:
Study type: Observational

Assessing the objective measurement of passive joint mobility (ROM) in the spastic upper limb with Jost's pattern III in patients with post-stroke spasticity after infiltration with BoNT-A allows to objectify the increase in passive joint balance (ROM).

NCT ID: NCT05032911 Not yet recruiting - Neck Pain Clinical Trials

Sensorimotor Control in People With and Without Neck Pain

Start date: October 10, 2021
Phase:
Study type: Observational

This is a descriptive, observational, longitudinal, prospective study consecutively enrolling patients with non-specific neck pain and age-matched asymptomatic participants. The investigators will register sensorimotor control variables, including active range of motion, movement speed, acceleration, smoothness of motion, head repositioning accuracy and motion coupling patterns. These variables will be recorded by means of Inertial Measurement Unit (IMU) sensors during the following tests consecutively performed in two measuring sessions separated by 12 months: (a) kinematics of planar movements, (b) kinematics of the craniocervical flexion movement, (c) kinematics during functional tasks and (d) kinematics of task-oriented neck movements in response to visual targets.

NCT ID: NCT04810325 Not yet recruiting - Parkinson Disease Clinical Trials

Brain Sensing in Neurological and Psychiatric Disorders

Start date: July 1, 2021
Phase:
Study type: Observational

High-frequency deep brain stimulation (DBS) is an effective treatment strategy for a variety of movement disorders including Parkinson's disease, dystonia and tremor1-5, as well as for other neurological and psychiatric disorders e.g. obsessive compulsive disorder, depression, cluster headache, Tourette syndrome, epilepsy and eating disorders6-11. It is currently applied in a continuous fashion, using parameters set by the treating clinician. This approach is non-physiological, as it applies a constant, unchanging therapy to a dysfunctional neuronal system that would normally fluctuate markedly on a moment-by moment basis, depending on external stressors, cognitive load, physical activity and the timing of medication administration. Fluctuations in physical symptoms reflect fluctuations in brain activity. Tracking and responding in real-time to these would allow personalised approaches to DBS through stimulating at appropriate intensities and only when necessary, thereby improving therapeutic efficacy, preserving battery life and potentially limiting side-effects12. Critical to the development of such adaptive/closed-loop DBS technologies is the identification of robust signals on which to base the delivery of variable high-frequency deep brain stimulation. Local field potentials (LFPs), which are recordable through standard DBS electrodes, represent synchronous neuronal discharges within the basal ganglia. Different LFP signatures have been identified in different disorders, as well as in different clinical states within individual disorders. For example, low frequency LFPs in the Alpha/Theta ranges (4-12Hz) are frequently encountered in patients with Dystonia13,14, while both beta (12-30Hz) gamma (60-90Hz) band frequencies may be seen in Parkinson's disease, when the patient is OFF and dyskinetic, respectively15,16. Equally, suppression of these abnormal basal ganglia signals through medication administration or high-frequency DBS correlates with clinical improvement. As such, they represent attractive electrophysiologic biomarkers on which to base adaptive DBS approaches. Until recently, neurophysiological assessments were purely a research tool, as they could only be recorded either intra-operatively or for a short period of time post-operatively using externalised DBS electrodes. However, advances in DBS technology now allow real-time LFP recordings to be simply and seamlessly obtained from fully implanted DBS systems e.g. Medtronic Percept PC. In this study, we will evaluate a cohort of patients with movement disorders and other disorders of basal ganglia circuitry who have implanted DBS systems. Recordings of LFPs and/or non-invasive data such as EEG, limb muscle activation and movement (surface EMG and motion tracking) under various conditions (e.g. voluntary movement, ON/OFF medications, ON/OFF stimulation) will allow us to evaluate their utility as markers of underlying disease phenotype and severity and to assess their potential for use as electrophysiological biomarkers in adaptive DBS approaches. These evaluations in patients with DBS systems with and without LFP-sensing capabilities will take place during a single or multi-day evaluation (depending on patient preference and researcher availability). This study will advance not only the understanding of subcortical physiology in various disorders, but will also provide information about how neurophysiological and behavioural biomarkers can be used to inform personalised, precision closed-loop DBS approaches.