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Updated: Sep 30, 2025

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A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
Published on: November 13, 2016
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Imaging versus electrographic connectivity in human mood-related fronto-temporal networks
Joshua A Adkinson1, Evangelia Tsolaki2, Sameer A Sheth1
1Department of Neurosurgery, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA.
Brain Stimulation
|March 16, 2022
Summary
Comparing diffusion-weighted tractography and intracranial electrophysiology in deep brain stimulation (DBS) for depression reveals significant overlap but also key differences in predicting network connectivity.
Area of Science:
- Neuroscience
- Neurosurgery
- Psychiatry
Background:
- The effectiveness of psychiatric deep brain stimulation (DBS) is linked to its connectivity with mood-relevant fronto-temporal networks.
- Diffusion-weighted tractography is the standard method for evaluating this connectivity.
Purpose of the Study:
- To investigate the predictive power of intracranial electrophysiology recordings for circuit-wide neuromodulation effects.
- To test the hypothesis that tractography-predicted structural connectivity aligns with stimulation-induced electrophysiological responses.
Main Methods:
- Evoked potentials were recorded using stereo-electroencephalography (sEEG) during single-pulse stimulation of subcallosal cingulate (SCC) and ventral capsule/ventral striatum (VCVS) DBS targets in two patients.
- Patient-specific diffusion-weighted tractography was used to predict structural connectivity between DBS leads and sEEG contacts.
- Electrophysiological responses were compared with tractography-predicted connectivity.
Main Results:
- Strong convergence between evoked potentials and tractography was observed in orbitofrontal, ventromedial prefrontal, and lateral prefrontal cortices for both SCC and VCVS stimulation.
- Discrepancies were noted in the anterior cingulate cortex (ACC), where tractography predicted connectivity for SCC stimulation but no evoked potentials were detected.
- Conversely, tractography predicted no connectivity from VCVS targets to the ACC, yet VCVS stimulation elicited robust evoked potentials.
Conclusions:
- While diffusion-weighted tractography and electrophysiology show significant convergence, differences highlight tractography's limitations in predicting electrophysiological connectivity for SCC and VCVS targets within the mood network.
- This multimodal approach offers valuable insights for surgical targeting and enhances understanding of neuromodulation's network-wide impact.

