Use of Real-Time Functional Magnetic Resonance Imaging Neurofeedback to Improve Motor Function in Cerebellar Ataxia
fMRI
Using Motor Imagery and Machine Learning-Based Real-Time fMRI Neurofeedback to Improve Motor Function in Cerebellar Ataxia
1 other identifier
interventional
12
1 country
1
Brief Summary
This project will study the feasibility of motor rehabilitation in people with cerebellar ataxia using real-time functional magnetic resonance imaging neurofeedback (rt-fMRI NF) in conjunction with motor imagery. To do so, data will be collected from healthy adults in this protocol, to be compared with data from cerebellar ataxia participants.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable healthy
Started Dec 2022
Typical duration for not_applicable healthy
1 active site
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
June 23, 2022
CompletedFirst Posted
Study publicly available on registry
June 29, 2022
CompletedStudy Start
First participant enrolled
December 7, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 28, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
January 15, 2024
CompletedApril 5, 2024
April 1, 2024
1.1 years
June 23, 2022
April 4, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Change in overt tapping accuracy as assessed by finger tapping to a flashing cue at 1Hz speed
During the MRI session, accuracy on overt tapping will be measured by the distance of the actual tapping rate vs. target rate (1Hz). Accuracy at baseline will be compared to that of final assessment, which will take place before and after neurofeedback training, respectively. The difference in accuracy between the two tests create a delta measure (i.e., fewer errors in the final vs. baseline tests). This delta accuracy will indicate the magnitude of tapping accuracy improvements. Root mean squared error (RMSE) is the measure for both the baseline and post-treatment behavioral tasks. RMSE will be based on the actual number of taps per second relative to the expected number of taps per second (e.g., 1 tap for 1Hz). Then post treatment RMSE minus baseline RMSE will determine a delta RMSE. A higher RMSE signifies greater error. For the delta measure, it is expected, lower scores reflect greater improvement on the task.
Baseline and MRI duration, up to 1 hour
Change in overt tapping accuracy as assessed by finger tapping to a flashing cue at 4Hz speed
During the MRI session, accuracy on overt tapping will be measured by the distance of the actual tapping rate vs. target rate (4Hz). Accuracy at baseline will be compared to that of final assessment, which will take place before and after neurofeedback training, respectively. The difference in accuracy between the two tests create a delta measure (i.e., fewer errors in the final vs. baseline tests). This delta accuracy will indicate the magnitude of tapping accuracy improvements. RMSE (root mean squared error) is the measure for both the baseline and post-treatment behavioral tasks. RMSE will be based on the actual number of taps per second relative to the expected number of taps per second (e.g., 4 taps for 4Hz). Then post treatment RMSE minus baseline RMSE will determine a delta RMSE. A higher RMSE signifies greater error. For the delta measure, it is expected, lower scores reflect greater improvement on the task.
Baseline and MRI duration, up to 1 hour
Change in at-home overt tapping accuracy as assessed by finger tapping to a flashing cue at 1Hz speed
Accuracy at baseline will be compared to that of final assessment, which will take place before and after the 3-week at-home practice sessions, respectively. The delta measure will indicate the magnitude of tapping accuracy improvements. Groups will be compared to examine differences in delta as a function of practice condition (imagery only, tapping only, or imagery plus tapping). At-home tapping performance will be compared to MRI tapping performance. RMSE (root mean squared error) is the measure for both the baseline and post-treatment behavioral tasks. RMSE will be based on the actual number of taps per second relative to the expected number of taps per second (e.g., 1 tap for 1Hz). Then post treatment RMSE minus baseline RMSE will determine a delta RMSE. A higher RMSE signifies greater error. For the delta measure, it is expected, lower scores reflect greater improvement on the task.
Baseline and At-home sessions (10 minutes/day), up to 23 days
Change in at-home overt tapping accuracy as assessed by finger tapping to a flashing cue at 4Hz speed
Accuracy at baseline will be compared to that of final assessment, which will take place before and after the 3-week at-home practice sessions, respectively. The delta measure will indicate the magnitude of tapping accuracy improvements. Groups will be compared to examine differences in delta as a function of practice condition (imagery only, tapping only, or imagery plus tapping). At-home tapping performance will be compared to MRI tapping performance. RMSE (root mean squared error) is the measure for both the baseline and post-treatment behavioral tasks. RMSE will be based on the actual number of taps per second relative to the expected number of taps per second (e.g., 4 taps for 4Hz). Then post treatment RMSE minus baseline RMSE will determine a delta RMSE. A higher RMSE signifies greater error. For the delta measure, it is expected, lower scores reflect greater improvement on the task.
Baseline and At-home sessions (10 minutes/day), up to 23 days
Secondary Outcomes (4)
The correlation between MRI BOLD and finger tapping accuracy to a flashing cue at 1Hz as assessed by a correlation coefficient
MRI duration, up to 1 hour
The correlation between MRI BOLD and finger tapping accuracy to a flashing cue at 4Hz as assessed by a correlation coefficient
MRI duration, up to 1 hour
The correlation between the KVIQ and imagery accuracy of the slider bar from target on the MRI task as assessed by a correlation coefficient
Up to 1.5 hours
The correlation between the ICARS and imagery accuracy of the slider bar from target on the MRI task as assessed by a correlation coefficient
Up to 1.5 hours
Study Arms (2)
Real time neurofeedback with task
OTHERParticipants will undergo a real-time fMRI scan during which two distinct tasks will be performed.
Overt tapping and/or motor imagery practice
OTHERParticipants will undergo an overt tapping task at baseline. Participants are assigned to a group where they will then perform respective motor and/or imagery tasks at home for 3 weeks.
Interventions
During the fMRI scan, the tasks consist of: 1. Overt finger tapping in time with a flashing cue. 2. Motor imagery (of finger tapping). During overt finger tapping, feedback will consist of a slider bar that indicates tapping accuracy to target speed (1 or 4Hz). During motor imagery, neurofeedback will consist of a slider bar that indicates the success of recruiting predicted brain regions (consistent with those engaged during overt tapping).
Participants are assigned to groups where they will practice each day for 3 weeks at-home. 1. Group 1: Imagery only. 2. Group 2: Overt finger tapping only. 3. Group 3: Imagery plus overt finger tapping. During imagery, participants will view the task while imagining that they are finger tapping in time with the flashing cue, using the imagery strategies identified during their previous neurofeedback session. During overt tapping, participants will finger tap in time with the flashing cue. A final assessment of overt tapping will be performed the day after therapy ends.
Eligibility Criteria
You may qualify if:
- years of age
- At least 8th-grade education
- Right-handedness
You may not qualify if:
- History of Axis I psychiatric disorders (including alcohol and drug dependence)
- Severe or unstable medical disorder, neurological disorders, such as stroke or epilepsy
- History of head injury that resulted in a loss of consciousness greater than 5 minutes and/or neurological sequelae
- Any condition that is contraindicated for the MRI environment (e.g., metal in the body, pacemaker, claustrophobia)
- Currently pregnant
- Eligible subjects may be asked to refrain from medications that affect the central nervous system that would also make data difficult to interpret (e.g., sedatives) for an appropriate period of time prior to scanning
- Participants will be excluded if they do not have a home computer with internet available to complete the 3-week at-home component of the study protocol
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Johns Hopkins Universitylead
- Virginia Polytechnic Institute and State Universitycollaborator
- Johns Hopkins Discovery Awardcollaborator
Study Sites (1)
Johns Hopkins University School of Medicine
Baltimore, Maryland, 21205, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Cherie Marvel, PhD
Johns Hopkins University
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- FACTORIAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 23, 2022
First Posted
June 29, 2022
Study Start
December 7, 2022
Primary Completion
December 28, 2023
Study Completion
January 15, 2024
Last Updated
April 5, 2024
Record last verified: 2024-04
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP
- Time Frame
- Immediately following publication. No end date.
- Access Criteria
- Access to trial individual participant data (IPD) can be requested by qualified researchers engaging in independent scientific research, and will be provided following review and approval of a research proposal and Statistical Analysis Plan (SAP) and execution of a Data Sharing Agreement (DSA). For more information or to submit a request, please contact cmarvel1@jhmi.edu.
Individual participant data that underlie the results reported in this article, after deidentification (text, tables, figures, and appendices).