Hand Dexterity Training in Degenerative Cervical Myelopathy (DCM)

NCT06754072 | Completed

• 2 other identifiers: PRO00044319PI: Vedantam
• Study Type: interventional
• Target: 25
• Locations: 1 country
• Sites: 1

Brief Summary

This clinical study aimed to evaluate the effectiveness of a virtual reality-based training intervention for improving hand dexterity and promoting neuroplasticity in individuals with Degenerative Cervical Myelopathy (DCM) after surgical decompression. Participants completed a 4-week training program using the Virtual Keyboard (VK) system, which facilitated repetitive, individualized finger movements in a virtual environment. Outcomes were measured pre- and post-training to quantify improvements in hand dexterity, quality of life, and cortical motor activity.

Conditions

Degenerative Cervical Myelopathy

Keywords

degenerative cervical myelopathy; virtual reality; hand dexterity; post-surgical rehabilitation; neurorehabilitation; cervical spine; eeg

Outcome Measures

Primary Outcomes (1)

• Jebsen-Taylor Hand Function Test

  The Jebsen-Taylor Hand Function Test (JTHFT) is a standardized test used to assess hand function during everyday activities. It consists of seven timed subtests, such as writing, card turning, and object manipulation. The outcome is recorded as the time taken to complete each task in seconds, where lower times indicate better hand function.

  Baseline, post-training and follow-up.

Secondary Outcomes (10)

• Quantitative Electroencephalograms (qEEG)

  Baseline, post-training and follow-up.

• Nine-Hole Peg Test (9HPT)

  Baseline, post-training and follow-up.

• Box and Blocks Test (BBT)

  Baseline, post-training and follow-up.

• QuickDASH

  Baseline, post-training and follow-up.

• Three-point pinch strength

  Baseline, post-training and follow-up.

Study Arms (1)

Virtual Reality Training Group

EXPERIMENTAL

Participants completed virtual reality-based hand training using the virtual keyboard system.

Other: Virtual Keyboard (VK) System

Interventions

Virtual Keyboard (VK) System OTHER

Participants underwent a 4-week training program comprising 12 one-hour sessions to enhance finger individuation and motor control using a virtual reality platform.

Virtual Reality Training Group

Eligibility Criteria

• Age: 18 Years - 85 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Diagnosed with Degenerative Cervical Myelopathy.
• Completed cervical spine surgery within 6 months.
• Modified Japanese Orthopaedic Association (mJOA) upper limb motor score between 1-4.

You may not qualify if:

• Pregnancy.
• History of brain or upper extremity surgery within the past year.
• Significant arm/hand pain limiting movement.
• Complete paralysis of the hands (mJOA=0).

Sponsors & Collaborators

• Medical College of Wisconsin: lead
• Marquette University: collaborator
• North Carolina State University: collaborator

Study Sites (1)

Marquette University

Milwaukee, Wisconsin, 53233, United States

Location

Related Publications (1)

• 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.

  PMID: 25542201 BACKGROUND

MeSH Terms

Interventions

Drug Delivery Systems

Intervention Hierarchy (Ancestors)

Drug Therapy; Therapeutics

Study Officials

• Aditya Vedantam, MD

  Medical College of Wisconsin

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: TREATMENT
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Associate Professor

Study Record Dates

• First Submitted: December 17, 2024
• First Posted: December 31, 2024
• Study Start: July 19, 2023
• Primary Completion: October 23, 2024
• Study Completion: October 23, 2024
• Last Updated: December 31, 2024

Record last verified: 2024-12

Data Sharing

• IPD Sharing: Will not share

Locations

US (1)