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

NCT ID: NCT03696667

Last Updated: 2018-10-05

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

30 participants

Study Classification

INTERVENTIONAL

Study Start Date

2018-03-08

Study Completion Date

2018-09-26

Brief Summary

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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.

Detailed Description

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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.

Conditions

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Emotion Regulation

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

DEVICE_FEASIBILITY

Blinding Strategy

NONE

Study Groups

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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.

Group Type ACTIVE_COMPARATOR

BCI

Intervention Type DEVICE

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.

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.

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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BCI

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.

Intervention Type DEVICE

Eligibility Criteria

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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
Minimum Eligible Age

60 Years

Maximum Eligible Age

85 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Agency for Science, Technology and Research

OTHER

Sponsor Role collaborator

Duke-NUS Graduate Medical School

OTHER

Sponsor Role collaborator

Institute of Mental Health, Singapore

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Jimmy Lee

Role: PRINCIPAL_INVESTIGATOR

Institute of Mental Health, Singapore

Locations

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Duke-NUS Medical School

Singapore, , Singapore

Site Status

Institute of Mental Health

Singapore, , Singapore

Site Status

Countries

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Singapore

Other Identifiers

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2017/00297

Identifier Type: -

Identifier Source: org_study_id

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