Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Human Genetics

Human Genetics

Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...

You might also read

Related Articles

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

Sort by

Same author

Clinician's Corner: Chatbots for Psychotherapy.

Canadian journal of psychiatry. Revue canadienne de psychiatrie·2026

Same author

Leveraging simulation to provide a practical framework for estimating the novel scope of risk of large language models in healthcare.

BMJ mental health·2026

Same author

Lithium effects on renal functioning: an expert opinion and management algorithm.

International journal of bipolar disorders·2026

Same author

Integrating Data Visualizations Into Digital Mental Health Care for Adults With Anxiety and Depression: Participatory Design and Case Study.

Journal of participatory medicine·2026

Same author

Expected Competencies and Personal Attributes of Digital Health Navigators to Support Digital Mental Health Care: Focus Group and Interview Study With Patients and Health Care Professionals.

JMIR mental health·2026

Same author

Primary Care Clinicians' Attitudes on Digital Care Collaborative Management for Substance Use Disorders.

Inquiry : a journal of medical care organization, provision and financing·2026

Same journal

Evaluating the Evidence Base for New Mental Health Tech With APA Labs.

Journal of medical Internet research·2026

Same journal

Radiomics-Based AI for the Diagnosis and Prognosis of Vessels Encapsulating Tumor Clusters in Hepatocellular Carcinoma: Systematic Review and Meta-Analysis.

Journal of medical Internet research·2026

Same journal

Development and Validation of an Explainable Machine Learning Model to Assess the Prevalence Probability of Gastrointestinal Heat Retention Syndrome in Children: Cross-Sectional Study.

Journal of medical Internet research·2026

Same journal

Assessment of a Digital Health Platform Using Web Analytics and User Experience Measurements: Quantitative Study Based on RE-AIM.

Journal of medical Internet research·2026

Same journal

Sensor-Based Monitoring of Knee Osteoarthritis Symptoms in Free-Living Settings: Scoping Review.

Journal of medical Internet research·2026

Same journal

Effects of Immersive Virtual Reality Interventions on Symptom Management in Patients With Gastrointestinal Cancer: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Journal of medical Internet research·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 6, 2025

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

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

Published on: July 7, 2023

Digital Phenotyping for Mood Disorders: Methodology-Oriented Pilot Feasibility Study.

Scott Breitinger¹, Manuel Gardea-Resendez¹, Carsten Langholm²

¹Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States.

Journal of Medical Internet Research

|December 29, 2023

Summary

This summary is machine-generated.

This study demonstrates that digital phenotyping for mood disorders is feasible across different smartphone operating systems, yielding high-quality data. The methodology is reproducible and generalizable for future clinical research.

Keywords:

bipolar disorder depression digital health digital phenotyping mobile apps mood disorders patient-generated health data wearable devices

More Related Videos

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Published on: December 2, 2015

Related Experiment Videos

Last Updated: Jul 6, 2025

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

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

Published on: July 7, 2023

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Published on: December 2, 2015

Area of Science:

Clinical digital phenotyping
Digital biomarkers for mental health
Longitudinal study design in psychiatry

Background:

Limited literature exists on the methodological challenges of clinical digital phenotyping infrastructure, patient engagement, and data analysis.
Developing a robust technological architecture is crucial for successful passive and active digital data streams in research.

Purpose of the Study:

To provide a rationale for a digital phenotyping study design.
To highlight initial lessons learned from implementation challenges and successes.
To emphasize best practices in the context of the current evidence base.

Main Methods:

A multisite digital phenotyping pilot feasibility study was designed and implemented.
Participants with unipolar depression, bipolar I or II disorder, or healthy controls were recruited.
A longitudinal study was conducted in two distinct healthcare systems using pragmatic adaptations.

Main Results:

The study assessed the feasibility of multisite digital phenotyping for mood disorders, focusing on data quality and patient enrollment.
Overall data quality was high, with sensor data obtained exceeding expectations compared to related studies.
Participant demographics included varied age groups, a predominance of female participants, and a mix of iOS and Android users.

Conclusions:

Digital phenotyping for affective disorders is feasible on both Android and iOS platforms, with high data quality using an open-source approach.
Participant demographics suggest potential selection biases in naturalistic research, independent of data quality concerning gender and race.
The described methodology is reproducible and generalizable to diverse study settings and patient populations.