Article

Network-based Near-Scalp Personalized Brain Stimulation Targets

2025-05-20

Abstract excerpt

Functional connectivity (FC) is often used to identify personalized targets for transcranial magnetic stimulation (TMS). However, existing methods often overlook individual differences in whole-cortex network organization. Furthermore, in some personalized TMS protocols, lower stimulation intensity is used for targets closer to the scalp, which may improve patient tolerance. Here, we develop an algorithm to simult...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: de77ff4d-e9b6-527e-a577-ade1e2e4d41c
DOI: 10.1101/2025.05.15.654391

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Network-based Near-Scalp Personalized Brain Stimulation TargetsDOI 10.1101/2025.05.15.654391Read

Precision Network Modeling of Transcranial Magnetic Stimulation Across Individuals Suggests Therapeutic Targets and Potential for ImprovementSemantic proximity Read

Efficacy of Personalized Connectivity-Guided Accelerated Brain Stimulation in a Naturalistic Treatment-Resistant Depression PopulationSemantic proximity Read

Subgenual Anterior Cingulate Cortex Functional Connectivity Abnormalities in Depression: Insights from Brain Imaging Big Data and Precision-Guided Personalized Intervention via Transcranial Magnetic StimulationSemantic proximity Read

Mapping inter-individual functional connectivity variability in TMS targets for major depressive disorderSemantic proximity Read

Scaling Personalized TMS: A Scalp-Based MRI-guided Alternative to NeuronavigationSemantic proximity Read

Group optimization methods for dose planning in tESSemantic proximity Read

Group-Level Analysis of Induced Electric Field in Deep Brain Regions by Different TMS CoilsSemantic proximity Read

Decoding personalized motor cortical excitability states from human electroencephalographySemantic proximity Read

Scalp EEG predicts intracranial brain activity in humansSemantic proximity Read

A Watershed Algorithm GUI for Personalized fMRI-guided rTMS TargetSemantic proximity Read

Decoding Motor Excitability in TMS using EEG-Features: An Exploratory Machine Learning ApproachSemantic proximity Read

Prediction of response to transcranial magnetic stimulation treatment for depression using electroencephalography and statistical learning methods, including an out-of-sample validationSemantic proximity Read