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

Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...

Depression: Overview

Depression: Overview

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,...

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

Identifying transdiagnostic neurobiomarkers for precision major psychiatric disorders <i>via</i> machine learning: Causes, findings, and future directions.

Journal of translational internal medicine·2026

Same author

Discrepancies in perceptions of emotional and behavioral problems between adolescents and caregivers: a latent profile analysis from the SEARCH study.

European child & adolescent psychiatry·2026

Same author

Evaluation of the efficacy of group cognitive behavioral therapy on anxiety in college students based on wearable devices and mobile applications: a randomized controlled trial.

BMC psychiatry·2025

Same author

Bridging animal models and humans: neuroimaging as intermediate phenotypes linking genetic or stress factors to anhedonia.

BMC medicine·2025

Same author

The involvement of the cerebellar vermis across the psychotic-affective spectrum in enriched samples of recent-onset schizophrenia, bipolar disorder, and major depressive disorder.

Journal of psychiatric research·2024

Same author

Characterizing the distinct imaging phenotypes, clinical behavior, and genetic vulnerability of brain maturational subtypes in mood disorders.

Psychological medicine·2024

Search research articles

Related Experiment Video

Updated: Jul 10, 2025

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

A neuroimaging-based precision medicine framework for depression.

Yao Xiao¹, Fay Y Womer², Shuai Dong³

¹Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, China.

Asian Journal of Psychiatry

|November 22, 2023

Summary

This study identified two depression subtypes using brain imaging (ALFF) and treated them with targeted repetitive transcranial magnetic stimulation (rTMS), showing significant symptom improvement and normalized brain activity.

Keywords:

Depression Machine learning Precision medicine Resting-state functional MRI Transcranial magnetic stimulation Youth

More Related Videos

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

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

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

Published on: August 2, 2021

Related Experiment Videos

Last Updated: Jul 10, 2025

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

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

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

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

Published on: August 2, 2021

Area of Science:

Neuroscience
Psychiatry
Medical Imaging

Background:

Current depression diagnosis relies on subjective symptoms, leading to heterogeneity.
Objective neuroimaging biomarkers are needed for precise depression subtyping and treatment.

Purpose of the Study:

To develop and validate a neuroimaging-based subtyping system for depression.
To implement a precise repetitive transcranial magnetic stimulation (rTMS) strategy tailored to these subtypes.
To evaluate the clinical efficacy of subtype-specific rTMS.

Main Methods:

Two-stage study involving neuroimaging (ALFF) and Gaussian Mixture Model for subtyping depression.
Identification of subtype-specific rTMS targets in 238 patients and 66 controls.
Clinical application of precise rTMS in 72 hospitalized depressed youths, with MRI and clinical assessments.

Main Results:

Two subtypes identified: archetypal and atypical depression, based on distinct ALFF patterns.
Dorsomedial prefrontal cortex targeted for archetypal; occipital cortex for atypical depression.
Normalized ALFF and high symptom response rates (90% archetypal, 70.73% atypical) post-rTMS.

Conclusions:

A precision medicine framework for depression using neurobiomarkers and targeted rTMS was successfully developed.
The framework demonstrated promising results, creating a closed loop for subtyping, treatment, and evaluation.
Further randomized controlled trials are recommended to confirm findings.