Integrating direct electrical brain stimulation with the human connectome.

Area of Science:

• Neuroscience
• Neuroimaging
• Brain Network Mapping

Background:

• Neurological and neurodevelopmental conditions necessitate novel therapies.
• Effective therapy development requires precise mapping of neural substrates for behavior.
• Direct electrical stimulation (DES) is the gold standard for causal brain mapping but is limited in scope.

Purpose of the Study:

• To develop a multimodal approach combining DES with human connectome data (fMRI, DTI) for macroscale functional network mapping.
• To explore 12 distinct behavioral domains and validate the predictive capacity of DES-derived networks.
• To assess the translational potential for neuromodulation and understanding postoperative deficits.

Main Methods:

• Utilized 4137 DES points from 612 glioma patients.
• Integrated resting-state fMRI (n=1000) and diffusion-weighted imaging (n=284) data.
• Compared network topographies, tested predictive capacity, quantified connectivity coupling, and built predictive models.

Main Results:

• Achieved a 29.4-fold increase in brain coverage compared to DES alone.
• DES-derived networks accurately predicted future stimulation points (97.8%) and correlated with white matter anatomy.
• Demonstrated overlap with neuromodulation targets and specificity for characterizing postoperative deficits.

Conclusions:

• Integrating DES with human connectome data significantly enhances functional brain mapping capabilities.
• DES-derived functional networks offer reliable patient-specific mapping, predicting stimulation points and correlating with structural connectivity.
• This integrated approach has broad applications in psychiatry, neurology, neurosurgery, and rehabilitation.