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

You might also read

Related Articles

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

Sort by

Same author

Fatigue relief is possible.

Frontiers in integrative neuroscience·2026

Same author

Fatigue relief: the contribution of non-invasive neuromodulation (FAREviaNM).

Frontiers in neuroscience·2026

Same author

In silico Approach to Investigate Magnetoelectric Nanoparticle Effects for minimally-invasive Brain Stimulation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same author

Magnetoelectric core-shell nanorods for peripheral nerve stimulation: a computational study.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same author

Microscopic electric fields form mesoscale electric fields and influence TMS activation thresholds.

Brain stimulation·2025

Same author

Exploring magnetoelectric nanoparticles for advanced nano-electroporation and drug delivery in interventional cardiology.

Nanoscale advances·2025

Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 27, 2026

Updated Technique for Reliable, Easy, and Tolerated Transcranial Electrical Stimulation Including Transcranial Direct Current Stimulation

Updated Technique for Reliable, Easy, and Tolerated Transcranial Electrical Stimulation Including Transcranial Direct Current Stimulation

Published on: January 3, 2020

Transcranial Direct Current Stimulation: Personalizing the neuromodulation.

A Cancelli, C Cottone, M Parazzini

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 7, 2016

Summary

This summary is machine-generated.

Personalizing transcranial direct current stimulation (tDCS) by modeling individual brain features can improve its effectiveness. This approach aims to reduce response variability for optimized brain targeting.

More Related Videos

Neuronavigated Focalized Transcranial Direct Current Stimulation Administered During Functional Magnetic Resonance Imaging

Neuronavigated Focalized Transcranial Direct Current Stimulation Administered During Functional Magnetic Resonance Imaging

Published on: November 15, 2024

Personalized 3D-printed Headgear for Multi-electrode Transcranial Electrical Stimulation

Personalized 3D-printed Headgear for Multi-electrode Transcranial Electrical Stimulation

Published on: September 9, 2025

Related Experiment Videos

Last Updated: Mar 27, 2026

Updated Technique for Reliable, Easy, and Tolerated Transcranial Electrical Stimulation Including Transcranial Direct Current Stimulation

Updated Technique for Reliable, Easy, and Tolerated Transcranial Electrical Stimulation Including Transcranial Direct Current Stimulation

Published on: January 3, 2020

Neuronavigated Focalized Transcranial Direct Current Stimulation Administered During Functional Magnetic Resonance Imaging

Neuronavigated Focalized Transcranial Direct Current Stimulation Administered During Functional Magnetic Resonance Imaging

Published on: November 15, 2024

Personalized 3D-printed Headgear for Multi-electrode Transcranial Electrical Stimulation

Personalized 3D-printed Headgear for Multi-electrode Transcranial Electrical Stimulation

Published on: September 9, 2025

Area of Science:

Neuroscience
Computational Neuroscience
Medical Engineering

Background:

Transcranial direct current stimulation (tDCS) shows beneficial effects but suffers from inter-individual response variability.
Enhancing tDCS efficiency is a key goal in neuroscientific research.
Personalization offers a promising strategy to overcome response variability.

Purpose of the Study:

To explore the personalization of tDCS stimulation parameters.
To utilize computational modeling for optimizing tDCS targeting.
To reduce inter-individual variability in tDCS response.

Main Methods:

Employing computational modeling to simulate tDCS effects.
Testing various stimulation montages through modeling.
Adapting stimulation parameters to individual structural and functional brain features.

Main Results:

Modeling enables the testing and optimization of tDCS montages.
Personalization strategies can be evaluated using simulation.
Potential for improved brain targeting through individualized approaches.

Conclusions:

Computational modeling is a powerful tool for personalizing tDCS.
Personalized tDCS holds promise for increasing treatment efficiency.
Future research should focus on model-driven tDCS parameter optimization.