NCT03858699

Brief Summary

The purpose of this study is to investigate brain signals relating to motor function, using electroencephalography (EEG) technology. The aims of the study can be separated into 3 specific study objectives:

  1. 1.Record EEG data from control participants and individuals with stroke during basic motor tasks and build a database of EEG signals to enable analysis of motor control.
  2. 2.Apply signal processing algorithms to extract EEG features related to motor control.
  3. 3.Develop a framework/the motor score (M-Score) that uses the EEG signals, in combination with machine learning approaches, to quantify motor control ability.

Trial Health

57
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
22

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started Apr 2019

Geographic Reach
1 country

1 active site

Status
terminated

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

February 26, 2019

Completed
3 days until next milestone

First Posted

Study publicly available on registry

March 1, 2019

Completed
2 months until next milestone

Study Start

First participant enrolled

April 15, 2019

Completed
10 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

February 6, 2020

Completed
11 months until next milestone

Study Completion

Last participant's last visit for all outcomes

January 5, 2021

Completed
Last Updated

February 10, 2021

Status Verified

February 1, 2021

Enrollment Period

10 months

First QC Date

February 26, 2019

Last Update Submit

February 8, 2021

Conditions

Outcome Measures

Primary Outcomes (3)

  • Resting state EEG measures

    EEG uses scalp sensors to monitor the brain's electrical activity. EEG sensors are placed on the scalp and passively record neural activity with high time resolution. The principal recording system for this study will be a 32-channel g.Nautilus EEG system (g.tec medical engineering). Secondary recording systems may be used: 8-channel g.Nautilus EEG system (g.tec medical engineering) and 64-channel, high-density BrainAmp EEG system (BrainProducts).Participants will be seated while wearing the EEG cap and asked to sit quietly with either eyes open (with a fixation dot or cross to reduce eye movements) or eyes closed. Resting state recordings will be approximately 5-10 minutes in length.

    1 day

  • Motor task EEG measures

    While completing EEG scans, participants will be asked to execute simple motor movements. . Study will focus on finger tapping task (with mouse-like button for recording movement timing). Participants will be asked to complete self-paced movements with approximately 10-15 second inter-trial spacing. Recording will occur in two-minute intervals, followed by a rest period, repeated until approximately 40 trials have been collected. Other motor movements, such as flexion of the upper limbs or flexion of the lower limbs, may also be considered. During EEG recordings changes in motor oscillations (alpha, beta, \& gamma range) will be analyzed. During EMG recordings, muscle tonicity/spasticity and functional firing patterns will be analyzed.

    1 day

  • Imagery task EEG measures

    During EEG recording participants could be asked to engage in mental imagery of motor movements stated above. Here, potential changes in oscillatory patterns in the motor cortex will be measured and detected.

    1 day

Secondary Outcomes (4)

  • Wolf Motor Function Test

    1 day

  • Fugl-Meyer Assessment

    1 day

  • Box-and-Block Test

    1 day

  • Nine-Hole Peg Test

    1 day

Study Arms (2)

Individuals with stroke

Participants in sub-acute and chronic phases post-stroke (\>1 month post-stroke) will be recruited for participation in this study.

Other: Recording of electroencephalographic (EEG) data

Adult control participants

Even age distributions will be recruited in the adult control group, stratified under 40 years old and over 40 years old.

Other: Recording of electroencephalographic (EEG) data

Interventions

Non-invasive brain activity will be measured with electroencephalography (EEG). EEG uses scalp sensors to monitor the brain's electrical activity. EEG sensors are placed on the scalp and passively record neural activity with high time resolution.

Adult control participantsIndividuals with stroke

Eligibility Criteria

Age19 Years - 80 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Number of Participants: Up to 30 healthy participants and 30 individuals with stroke.

You may qualify if:

  • Age requirements:
  • Younger adult control participants (19-40 years old)
  • Older adult control participants (41-80 years old)
  • Individuals with stroke (19-80 years old)
  • Capacity to follow single stage commands
  • Upper-limb disability as a result of a stroke (\>1 month ago)

You may not qualify if:

  • Cognitive difficulties that undermine ability to give informed consent (Montreal Cognitive Assessment (MoCA) score below 23).
  • Severe paralysis such that the participant cannot perform simple movements (such as finger tapping, clicking a mouse, etc.)
  • History of head trauma, a major psychiatric diagnosis, neurodegenerative disorder or substance abuse

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

HealthTech Connex Centre for Neurology Studies

Surrey, British Columbia, V3V 1Z2, Canada

Location

MeSH Terms

Conditions

Stroke

Condition Hierarchy (Ancestors)

Cerebrovascular DisordersBrain DiseasesCentral Nervous System DiseasesNervous System DiseasesVascular DiseasesCardiovascular Diseases

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
CROSS SECTIONAL
Sponsor Type
INDUSTRY
Responsible Party
SPONSOR

Study Record Dates

First Submitted

February 26, 2019

First Posted

March 1, 2019

Study Start

April 15, 2019

Primary Completion

February 6, 2020

Study Completion

January 5, 2021

Last Updated

February 10, 2021

Record last verified: 2021-02

Data Sharing

IPD Sharing
Will not share

Locations