Affect Regulation Based on Brain-computer Interface Towards Treatment for Depression

October 3, 2018 updated by: Institute of Mental Health, Singapore
The primary objective is to examine the feasibility and efficacy of a locally developed brain-computer interface (BCI) based system training for regulating mood in healthy elderly. The investigators hypothesize that elderly who complete the training program will be better at regulating emotions as compared to controls, based on their ratings of the primary outcome measures.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

In this project, we will leverage on a locally developed electroencephalograph (EEG)-based BCI technology for decoding affective states of the brain, and thereby develop a closed-loop sensing and stimulation mechanism. The technology uses advanced neural signal computing on the EEG in real-time and audio feedback using a machine learning model that associates individual user's EEG characteristics in relation to music-emotion features. The system is portable and will allow emotion regulation training to be done outside of hospital setting with ease thus potentially addressing the treatment gap for MDD in the elderly.

This is a two group randomized study. One group will undergo the intervention which is 24 sessions of BCI emotion regulation training (i.e. listening to music with audio feedback to regulate emotions towards positive affect) over an 8-week period. The control group will undergo 8 weeks of music sessions, without any emotion regulation training. Both groups will undergo pre- and post- psychometric assessments looking at cognition, quality of life, functioning and emotional states. This study will also carry out functional MRI of the brain before and after 8 weeks of either training (intervention) or music music session (control) to examine changes associated with the affective BCI training. Study findings derived from psychometric assessments, EEG analysis and neuroimaging will provide evidences on efficacy and usability of this technology.

Study Type

Interventional

Enrollment (Actual)

30

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Singapore, Singapore, 169857
        • Duke-NUS Medical School
      • Singapore, Singapore, 539747
        • Institute of Mental Health

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

60 years to 85 years (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • English-speaking
  • Geriatric Depression Scale score of 4 and below
  • Fit to provide informed consent
  • Able to travel to study site independently

Exclusion Criteria:

  • Presence of hearing impairment
  • Presence of any known neuropsychiatric disorders (e.g. dementia, epilepsy or mental retardation)
  • Contraindications for MRI such as surgical clips, cardiac pacemakers, metal implants and plates, orthodontics and claustrophobia

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: DEVICE_FEASIBILITY
  • Allocation: RANDOMIZED
  • Interventional Model: PARALLEL
  • Masking: NONE

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
ACTIVE_COMPARATOR: Affective BCI training
15 participants in the intervention group will undergo 24 sessions of BCI-based emotion regulation training over an 8-week period. Each session will take about 30-minute to complete where participants will listen to music with audio feedback to regulate emotions toward positive affect.
As participants listen to the music, the EEG waves of their affective states and their variations detected in real-time is converted into an auditory signal providing direct feedback to participants about their affective states and assisting participants to learn and practice emotion regulation.
NO_INTERVENTION: Control group
15 participants in the control group will take part in 24 music sessions (with no audio feedback) over an 8-week period. Each session will take about 30-minute to complete.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Emotion regulation questionnaire (ERQ)
Time Frame: Week 0 and Week 9
To evaluate change in ERQ scores
Week 0 and Week 9
Positive and Negative Affect Scale (PANAS)
Time Frame: Week 0 and Week 9
To evaluate change in PANAS score
Week 0 and Week 9

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Brief Assessment of Cognition - Short form
Time Frame: Week 0 and Week 9
To evaluate changes in neurocognition
Week 0 and Week 9
Geriatric Depression Scale (GDS)
Time Frame: Week 0 and Week 9
To evaluate change in GDS score
Week 0 and Week 9
Positive Mental Health (PMH) instrument
Time Frame: Week 0 and Week 9
To evaluate change in PMH score
Week 0 and Week 9
Body Awareness Questionnaire (BAQ)
Time Frame: Week 0 and Week 9
To evaluate change in BAQ
Week 0 and Week 9
Subjective Happiness Scale
Time Frame: Week 0 and Week 9
To evaluate change in SHS
Week 0 and Week 9
Connor-Davidson Resilience Scale 25 (CD-RISC-25)
Time Frame: Week 0 and Week 9
To evaluate change in CD-RISC-25 score
Week 0 and Week 9
The Frenchay Activities Index (FAI)
Time Frame: Week 0 and Week 9
To evaluate change in FAI scores
Week 0 and Week 9
Medical Outcomes Study: 20-item short form survey instrument
Time Frame: Week 0 and Week 9
Week 0 and Week 9
Outcome rating scale
Time Frame: After each BCI session during Weeks 1 to 8
After each BCI session during Weeks 1 to 8
Usability questionnaire
Time Frame: At the end of Week 8
Participants in the intervention group will rate statements regarding their satisfaction and ease of use of the training components on a 7-point Likert scale
At the end of Week 8

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Changes in functional MRI
Time Frame: Week 0 and Week 9
To examine the neural mechanism underlying the intervention
Week 0 and Week 9

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Jimmy Lee, Institute of Mental Health, Singapore

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ACTUAL)

March 8, 2018

Primary Completion (ACTUAL)

September 26, 2018

Study Completion (ACTUAL)

September 26, 2018

Study Registration Dates

First Submitted

October 3, 2018

First Submitted That Met QC Criteria

October 3, 2018

First Posted (ACTUAL)

October 5, 2018

Study Record Updates

Last Update Posted (ACTUAL)

October 5, 2018

Last Update Submitted That Met QC Criteria

October 3, 2018

Last Verified

September 1, 2018

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 2017/00297

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Emotion Regulation

Clinical Trials on BCI

3
Subscribe