Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Depressive Disorders: MDD and Dysthymia01:27

Depressive Disorders: MDD and Dysthymia

263
Depressive disorders are a group of mental health conditions characterized by pervasive feelings of sadness, diminished pleasure in life, and a significant impact on daily functioning. These conditions are most prevalent in individuals during their 30s and affect women at twice the rate of men. Contrary to popular belief, younger individuals are generally more susceptible to these disorders than older adults. Two key types of depressive disorders include Major Depressive Disorder (MDD) and...
263
Depression: Overview01:18

Depression: Overview

491
Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
491

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Mobgap: A State-of-the-Art Python Framework for Reproducible Estimation and Algorithm Validation of Digital Mobility Outcomes from a Single Wearable Device.

Sensors (Basel, Switzerland)·2026
Same author

Classifying mental stress from eye tracking data: deep learning approaches for out-of-the-lab conditions.

Scientific reports·2026
Same author

Exploring Attitudes Toward AI-Based Contactless Sensors in Health Among Five Stakeholder Groups: Qualitative Study.

Journal of medical Internet research·2026
Same author

Contactless Sleep Staging With Radar: A Transfer Learning Approach.

IEEE open journal of engineering in medicine and biology·2026
Same author

Acceptance, Perceived Usefulness, and Data Sharing in Mobile Health Apps Among Patients With Breast Cancer: Cross-Sectional Survey Study.

JMIR cancer·2026
Same author

New technology must support, not restrict humaneness: a qualitative interview study on the potential influences of a new digital system on specialist palliative home care.

BMC palliative care·2026

Related Experiment Video

Updated: Oct 27, 2025

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method
07:12

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method

Published on: August 2, 2021

3.8K

A Gamified Smartphone-Based Intervention for Depression: Randomized Controlled Pilot Trial.

Christian Aljoscha Lukas1, Bjoern Eskofier2, Matthias Berking1

  • 1Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany.

JMIR Mental Health
|July 20, 2021
PubMed
Summary

A new gamified smartphone app combining cognitive-behavioral therapy with approach-avoidance bias modification training significantly reduced depressive symptoms and improved patient engagement. These positive effects were sustained at 3-month follow-up.

Keywords:
approach/avoidancecognitive behavioral therapydepressiongamificationsmartphone technology

More Related Videos

An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

3.0K
Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
05:19

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment

Published on: July 7, 2023

2.7K

Related Experiment Videos

Last Updated: Oct 27, 2025

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method
07:12

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method

Published on: August 2, 2021

3.8K
An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

3.0K
Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
05:19

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment

Published on: July 7, 2023

2.7K

Area of Science:

  • Digital mental health
  • Psychiatry
  • Psychology

Background:

  • Smartphone-based interventions for depression often show low engagement and small effect sizes.
  • Combining cognitive-behavioral therapy (CBT) with gamified approach-avoidance bias modification training (AAMT) shows promise for improving engagement and reducing symptoms.
  • The mentalis Phoenix (MT-Phoenix) app was developed integrating CBT and gamified AAMT.

Purpose of the Study:

  • To develop and evaluate the gamified smartphone intervention, MT-Phoenix.
  • To hypothesize that MT-Phoenix would enhance patient engagement and reduce depressive symptoms.

Main Methods:

  • A randomized controlled pilot trial involved 77 individuals with elevated depression scores (PHQ-9 ≥5).
  • Participants were assigned to either 14 days of MT-Phoenix training or a waitlist control group.
  • Engagement was measured by usage data; the primary outcome was the reduction in depressive symptom severity.

Main Results:

  • Participants using MT-Phoenix engaged with the app on 46% of days (6.4/14).
  • The intervention group showed a significantly greater reduction in depressive symptoms compared to the control group (P=.001) with a large effect size (d=1.02).
  • Observed benefits were sustained at a 3-month follow-up.

Conclusions:

  • A gamified smartphone intervention merging CBT with AAMT can enhance patient engagement and effectively target depressive symptoms.
  • Further research is warranted, including phase 3 trials with clinical samples and comparisons to active control groups.