Hand Dexterity Training in Degenerative Cervical Myelopathy (DCM)
NCT ID: NCT06754072
Last Updated: 2024-12-31
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
25 participants
INTERVENTIONAL
2023-07-19
2024-10-23
Brief Summary
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Detailed Description
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The central hypothesis was that an intensive, individualized training program using the Virtual Keyboard (VK) system would improve hand dexterity in individuals with DCM and that these functional gains would be supported by measurable changes in cortical motor activity.
Study Design
This single-arm interventional study recruited participants who had undergone cervical spine surgery within six months. A total of 25 participants were enrolled, each completing:
A 4-week training program consisting of 12 one-hour sessions using the VK system. The system provided engaging, interactive tasks designed to promote finger individuation and precise motor control through real-time visual and auditory feedback.
Pre- and post-training evaluations assessing functional, neurophysiological, and quality-of-life outcomes.
Specific Aims- Aim 1: Quantify improvements in hand dexterity after the training intervention. Hypothesis: Training with the VK system would significantly improve hand function as measured by the Jebsen-Taylor Hand Function Test (JTHFT) and other clinical metrics.
Approach: Baseline, post-training, and follow-up evaluations measured outcomes including JTHFT scores, pinch strength, and sensorimotor tests.
Aim 2: Assess neuroplastic changes associated with training. Hypothesis: The training program would enhance cortical motor activation and connectivity, reflected in changes in beta-band event-related desynchronization (ERD) and coherence measured via quantitative EEG (qEEG).
Approach: Participants underwent qEEG during finger-tapping tasks at each evaluation, and EEG data were analyzed for changes in cortical activation patterns.
Outcomes and Measures- Primary outcomes included: Improvement in hand function as measured by JTHFT scores and related clinical tests.
Changes in cortical motor activity and connectivity, including event-related desynchronization and coherence, derived from qEEG data.
Secondary outcomes included quality-of-life measures (SF-36 physical component score and EuroQol 5D).
Conditions
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Keywords
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Study Design
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NA
SINGLE_GROUP
TREATMENT
NONE
Study Groups
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Virtual Reality Training Group
Participants completed virtual reality-based hand training using the virtual keyboard system.
Virtual Keyboard (VK) System
Participants underwent a 4-week training program comprising 12 one-hour sessions to enhance finger individuation and motor control using a virtual reality platform.
Interventions
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Virtual Keyboard (VK) System
Participants underwent a 4-week training program comprising 12 one-hour sessions to enhance finger individuation and motor control using a virtual reality platform.
Eligibility Criteria
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Inclusion Criteria
* Completed cervical spine surgery within 6 months.
* Modified Japanese Orthopaedic Association (mJOA) upper limb motor score between 1-4.
Exclusion Criteria
* History of brain or upper extremity surgery within the past year.
* Significant arm/hand pain limiting movement.
* Complete paralysis of the hands (mJOA=0).
18 Years
85 Years
ALL
No
Sponsors
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Marquette University
OTHER
North Carolina State University
OTHER
Medical College of Wisconsin
OTHER
Responsible Party
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Aditya Vedantam
Associate Professor
Principal Investigators
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Aditya Vedantam, MD
Role: PRINCIPAL_INVESTIGATOR
Medical College of Wisconsin
Locations
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Marquette University
Milwaukee, Wisconsin, United States
Countries
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References
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Thielbar KO, Lord TJ, Fischer HC, Lazzaro EC, Barth KC, Stoykov ME, Triandafilou KM, Kamper DG. Training finger individuation with a mechatronic-virtual reality system leads to improved fine motor control post-stroke. J Neuroeng Rehabil. 2014 Dec 26;11:171. doi: 10.1186/1743-0003-11-171.
Provided Documents
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Document Type: Informed Consent Form
Other Identifiers
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PI: Vedantam
Identifier Type: OTHER_GRANT
Identifier Source: secondary_id
PRO00044319
Identifier Type: -
Identifier Source: org_study_id