NCT02069938

Brief Summary

Noninvasive Brain-Computer Interfaces (BCIs) have been used to control a number of virtual and physical objects through the voluntary modulation of brain rhythms. Current issues with noninvasive BCIs include exhausting motor imagery tasks and long training times required to achieve competent control. The investigators will address these issues within this protocol, examining new approaches to reduce the effort required by subjects to control a physical object in the task. The PI's hypothesis is: Control of a physical robotic device will increase the performance of subjects in BCI tasks that are analogous to virtual tasks due to greater engagement with a physical output.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
23

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started Mar 2014

Typical duration 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
6 days until next milestone

First Posted

Study publicly available on registry

February 24, 2014

Completed
5 days until next milestone

Study Start

First participant enrolled

March 1, 2014

Completed
2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 13, 2016

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

March 13, 2016

Completed
Last Updated

January 18, 2018

Status Verified

January 1, 2018

Enrollment Period

2 years

First QC Date

February 18, 2014

Last Update Submit

January 16, 2018

Conditions

Keywords

Subjects

Outcome Measures

Primary Outcomes (1)

  • Percent of trials correct within each session of Brain Computer Interface experiments.

    Accuracy and performance metrics of Brain-Computer Interface tasks over time. This will include the percent of trials correct, percent of trials completed, and time to completion within each session. Combining these metrics, we will examine subject learning over sessions with regression. Exact time frame of sessions will be determined by subject and equipment availability.

    Session 1 through 10, within an average of 5 weeks. Each session separated by at least 24 hours.

Study Arms (1)

Healthy Subjects

Noninvasive Brain Computer Interface Control

Eligibility Criteria

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

Healthy subjects, primarily from individuals on the University of Minnesota Campus and Minneapolis area

You may qualify if:

  • Subjects for this study will be healthy, English speaking adult volunteers (18-64 years old).

You may not qualify if:

  • History of neurological deficit or traumatic brain injury.

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 24, 2014

Study Start

March 1, 2014

Primary Completion

March 13, 2016

Study Completion

March 13, 2016

Last Updated

January 18, 2018

Record last verified: 2018-01

Locations