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Updated: Jun 30, 2026

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Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
Published on: June 13, 2025
Targeting intracranial electrical stimulation to network regions defined within individuals causes network-level
Christopher Cyr1, Ania M Holubecki1, Lingxiao Shi1
1Ken & Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Journal of Neurophysiology
|June 29, 2026
Summary
Precision functional mapping (PFM) helps target intracranial electrical stimulation (ES) to specific brain networks. This approach enhances the ability to evoke within-network responses and network-related behaviors, optimizing ES efficacy.
Area of Science:
- Neuroscience
- Neurosurgery
- Brain Imaging
Background:
- Intracranial electrical stimulation (ES) is a key tool in neuroscience and clinical practice.
- Understanding the network-level effects of ES is crucial but remains limited.
- Individualized brain network mapping is needed to refine ES applications.
Purpose of the Study:
- To investigate how precision functional mapping (PFM) can guide intracranial electrical stimulation (ES) to specific brain networks.
- To determine optimal stimulation parameters and anatomical targets for evoking network-level responses.
- To explore the potential for network-specific modulation using ES.
Main Methods:
- Applied PFM using functional magnetic resonance imaging (fMRI) to define large-scale brain networks in epilepsy patients.
- Administered single-pulse electrical stimulation (SPES) and high-frequency electrical stimulation (HFES) at various sites.
- Correlated stimulation locations with PFM-defined network regions and observed behavioral effects.
Main Results:
- ES was more likely to evoke within-network responses (SPES) and network-related behaviors (HFES) when applied near PFM-defined network regions.
- Network-level effects were enhanced when stimulating white matter sites close to the target network and within its anatomical boundaries.
- Lower current intensities at these 'sweet spots' may achieve network-specific modulation.
Conclusions:
- PFM can identify functional anatomic 'sweet spots' for targeted intracranial ES.
- This approach allows for more precise modulation of specific brain networks.
- Findings support optimizing ES by targeting identified network regions for improved therapeutic and diagnostic outcomes.

