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

219
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...
219

You might also read

Related Articles

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

Sort by
Same author

Excessive Censoring Degrades Individual-Specific Cortical Parcellations and Personalized TMS Targets.

bioRxiv : the preprint server for biology·2026
Same author

Convergent Network Localization of Brain Stimulation Targets for Trait Anxiety.

The American journal of psychiatry·2026
Same author

Atrophy in preclinical Alzheimer's disease maps to a network that predicts longitudinal decline.

Molecular psychiatry·2026
Same author

Individual-specific resting-state networks predict language dominance in drug-resistant epilepsy.

Epilepsia·2026
Same author

Widespread use of invalid statistical tests in biomedical machine learning.

bioRxiv : the preprint server for biology·2026
Same author

Developing a multi-modal neuroimaging-based BrainAge model across childhood.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Jun 14, 2025

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

8.8K

Network-based Near-Scalp Personalized Brain Stimulation Targets.

Ru Kong1,2,3,4, Aihuiping Xue1,2,3,4, Leon Qi Rong Ooi1,2,3,4,5

  • 1Centre for Sleep and Cognition & Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

Biorxiv : the Preprint Server for Biology
|June 6, 2025
PubMed
Summary

This study introduces a new algorithm for personalized transcranial magnetic stimulation (TMS) targeting. The method optimizes functional connectivity and scalp proximity, improving reliability and patient comfort for brain stimulation therapies.

More Related Videos

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment
10:39

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment

Published on: May 23, 2025

520
Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function
07:47

Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function

Published on: February 4, 2016

13.0K

Related Experiment Videos

Last Updated: Jun 14, 2025

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

8.8K
Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment
10:39

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment

Published on: May 23, 2025

520
Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function
07:47

Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function

Published on: February 4, 2016

13.0K

Area of Science:

  • Neuroscience
  • Medical Imaging
  • Computational Biology

Background:

  • Functional connectivity (FC) is crucial for personalized transcranial magnetic stimulation (TMS) target identification.
  • Current methods often neglect individual whole-cortex network variations.
  • Near-scalp targets may enhance patient tolerance by potentially reducing stimulation intensity.

Purpose of the Study:

  • Develop an algorithm to optimize both FC and scalp proximity for personalized TMS target localization.
  • Improve generalizability across diverse populations by minimizing tunable parameters.

Main Methods:

  • Utilized a multi-session hierarchical Bayesian model (MS-HBM) for high-quality, individual-specific cortical network estimation.
  • Employed a tree-based algorithm for optimal target location selection.
  • Compared the novel approach against 'cluster' and 'cone' algorithms on scalp proximity, reliability, and FC.

Main Results:

  • The tree-based MS-HBM reliably identified near-scalp personalized TMS targets for depression in healthy individuals across two datasets.
  • Targets demonstrated superior reliability, scalp proximity, and FC to the subgenual anterior cingulate cortex compared to existing methods.
  • The algorithm showed versatility by successfully identifying targets for anxiety without parameter tuning.

Conclusions:

  • The tree-based MS-HBM algorithm offers a robust and generalizable framework for estimating near-scalp personalized TMS targets.
  • This approach has the potential to improve patient tolerance and treatment outcomes in brain stimulation.