MedTrace Logo

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

NCT03696667 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 30

Last updated 2018-10-05

No results posted yet for this study

Summary

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.

Conditions

  • Emotion Regulation

Interventions

DEVICE

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.

Sponsors & Collaborators

  • Agency for Science, Technology and Research

    collaborator OTHER

  • Duke-NUS Graduate Medical School

    collaborator OTHER

  • Institute of Mental Health, Singapore

    lead OTHER

Principal Investigators

  • Jimmy Lee · Institute of Mental Health, Singapore

Study Design

Allocation
RANDOMIZED
Purpose
DEVICE_FEASIBILITY
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
60 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2018-03-08
Primary Completion
2018-09-26
Completion
2018-09-26

Countries

  • Singapore

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03696667 on ClinicalTrials.gov