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

Brain Imaging01:14

Brain Imaging

272
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...
272

You might also read

Related Articles

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

Sort by
Same author

Multifactorial Nature of Childhood Stroke Presents a Major Challenge for Diagnosis and Management: A Population-Based Study From Southern Finland.

Acta paediatrica (Oslo, Norway : 1992)·2026
Same author

Digital phenotyping with large language models to detect depressive state changes in patients.

NPJ digital medicine·2026
Same author

Self-reported antidepressant side effects in psychiatric patients with depressive disorders.

Nordic journal of psychiatry·2026
Same author

Standardizing TMS Intensity Across Different Coils Using Individualized Electric Field Modeling.

Human brain mapping·2026
Same author

Variability in self-reported depression symptomology and associated behavioral markers in digital phenotyping.

Scientific reports·2026
Same author

Effectiveness of guided self-help, guided internet-delivered cognitive behavioral therapy, and face-to-face cognitive behavioral therapy for depression and anxiety: protocols of four parallel randomized controlled non-inferiority trials of the Finnish First-Line Therapies -Initiative (FLT-Step).

BMC psychiatry·2026

Related Experiment Video

Updated: Aug 6, 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

3.6K

Depression core network-based individualized targeting for transcranial magnetic stimulation.

Tuukka T Raij1, Emma Komulainen2, Dogu Baran Aydogan3

  • 1Department of Psychiatry, University of Helsinki and Helsinki University Hospital, P.O. Box 590, FI-00029, HUS, Helsinki, Finland; Department of Neuroscience and Biomedical Engineering, and Advanced Magnetic Imaging Center, Aalto NeuroImaging, Aalto University School of Science, P.O Box 13000, FI-00076, AALTO, Espoo, Finland.

Brain Stimulation
|March 17, 2023
PubMed
Summary

A new core network model (CNM) improves the repeatability of targeting the dorsolateral prefrontal cortex (DLPFC) for transcranial magnetic stimulation (TMS) in major depressive disorder (MDD) treatment.

Keywords:
Emotion regulationFunctional magnetic resonance imagingMajor depressive disorderTargetingTranscranial magnetic stimulation

More Related Videos

MRI-guided dmPFC-rTMS as a Treatment for Treatment-resistant Major Depressive Disorder
08:20

MRI-guided dmPFC-rTMS as a Treatment for Treatment-resistant Major Depressive Disorder

Published on: August 11, 2015

14.0K
Treating Clinical Depression with Repetitive Deep Transcranial Magnetic Stimulation Using the Brainsway H1-coil
09:30

Treating Clinical Depression with Repetitive Deep Transcranial Magnetic Stimulation Using the Brainsway H1-coil

Published on: October 4, 2016

22.4K

Related Experiment Videos

Last Updated: Aug 6, 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

3.6K
MRI-guided dmPFC-rTMS as a Treatment for Treatment-resistant Major Depressive Disorder
08:20

MRI-guided dmPFC-rTMS as a Treatment for Treatment-resistant Major Depressive Disorder

Published on: August 11, 2015

14.0K
Treating Clinical Depression with Repetitive Deep Transcranial Magnetic Stimulation Using the Brainsway H1-coil
09:30

Treating Clinical Depression with Repetitive Deep Transcranial Magnetic Stimulation Using the Brainsway H1-coil

Published on: October 4, 2016

22.4K

Area of Science:

  • Neuroscience
  • Psychiatry
  • Medical Imaging

Background:

  • Transcranial magnetic stimulation (TMS) targeting the dorsolateral prefrontal cortex (DLPFC) is a standard treatment for major depressive disorder (MDD).
  • Current methods targeting DLPFC subregions connected to the subgenual anterior cingulate cortex (sgACC) show limited repeatability due to sgACC's small coverage and poor fMRI repeatability.
  • This highlights a need for improved functional targeting strategies in TMS for MDD.

Purpose of the Study:

  • To develop and validate a novel core network model (CNM) for precise, repeatable functional targeting of the DLPFC in MDD patients.
  • To assess the repeatability and clinical relevance of the CNM-based DLPFC connectivity patterns.
  • To evaluate the association between CNM-derived DLPFC connectivity and MDD severity and TMS treatment efficacy.

Main Methods:

  • A novel core network model (CNM) was constructed using fMRI database analysis to capture DLPFC connectivity related to emotion regulation and MDD.
  • Within-subject repeatability of DLPFC connectivity was assessed using varying fMRI time segment lengths in healthy subjects and MDD patients.
  • The association between MDD severity and DLPFC connectivity strength was examined, and connectivity strengths were correlated with TMS efficacy in separate MDD patient cohorts.

Main Results:

  • The CNM demonstrated a 5-fold increase in intraindividual repeatability compared to sgACC connectivity.
  • CNM-derived DLPFC connectivity strength was significantly associated with both MDD severity and TMS treatment efficacy.
  • While CNM-based TMS target locations were stable within individuals, considerable interindividual variability was observed.

Conclusions:

  • The CNM enhances the repeatability of functional targeting for TMS to a clinically feasible level.
  • The associations found support the validity of the CNM for understanding DLPFC connectivity in MDD.
  • Observed interindividual differences in target locations underscore the potential for CNM-guided personalized clinical trials in MDD.