NCT02071485

Brief Summary

A brain-computer interface (BCI) is a system that provides a separate output pathway for neurological signals whereby they can be interpreted to determine the user's intended cognitive action. Utilizing EEG-based sensorimotor rhythms (SMRs) generated in the motor cortex has allowed subjects to control virtual computer cursors in up to three dimensions by simply imagining the movement of a specified body part. Nevertheless, the scalp EEG signals are smeared by the volume conduction effect and measurement noise. The overall hypothesis of this study is that EEG-based virtual object control may help reveal optimal motor imagination tasks best used in a BCI. The PI's hypotheses include: (1) The use of advanced signal processing techniques will better reveal characteristics of EEG signals that represent the underlying motor cognitive function of the subject; (2) BCI systems based on SMR generated using motor imaginations will allow effective control of a virtual object in real time; (3) EEG imaging techniques will provide insight into the areas of cortical activation during a motor imagery task that can be utilized to increase the spatial resolution of non-invasive BCI's.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
205

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Mar 2014

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
completed

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 18, 2014

Completed
8 days until next milestone

First Posted

Study publicly available on registry

February 26, 2014

Completed
3 days until next milestone

Study Start

First participant enrolled

March 1, 2014

Completed
3.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

January 8, 2018

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

January 8, 2018

Completed
Last Updated

January 18, 2018

Status Verified

January 1, 2018

Enrollment Period

3.9 years

First QC Date

February 18, 2014

Last Update Submit

January 16, 2018

Conditions

Individuality

Outcome Measures

Primary Outcomes (1)

  • Classification accuracy (%) and Cohen's Kappa Coefficient (unit-less) will be measured by discriminating features within the EEG time courses of different motor imagery tasks.

    two years

Study Arms (1)

No treatment

Subjects in this study will receive no treatment and rather will only be trained in using the motor imagination-based BCI system

Eligibility Criteria

Age18 Years - 64 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64)
Sampling MethodProbability Sample
Study Population

Students and workers at the University of Minnesota - Twin Cities campus

You may qualify if:

  • Between the age of 18 and 64

You may not qualify if:

  • History of traumatic brain injury/brain lesion, neurological deficit or neurodegenerative disorder

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Nils Hasselmo Hall at the University of Minnesota - Twin Cities campus

Minneapolis, Minnesota, 55455, United States

Location

Study Officials

  • Bin He, PhD

    University of Minnesota

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
CASE ONLY
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

February 18, 2014

First Posted

February 26, 2014

Study Start

March 1, 2014

Primary Completion

January 8, 2018

Study Completion

January 8, 2018

Last Updated

January 18, 2018

Record last verified: 2018-01

Locations

US(1)