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Updated: Sep 19, 2025

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
Published on: November 13, 2016
Multi-modal connectivity of the brain underlying visual hallucinations evoked by high-frequency intracranial
Felicia Mihai1, Laurentiu Tofan2, Andrei Barborica1
1Physics Department, University of Bucharest, Bucharest, Romania.
Background:
Visual hallucinations are a common symptom in patients with epilepsy. To the best of our knowledge, there are no studies evidencing the functional and effective networks responsible for different characteristics of these manifestations.
Objective/Hypothesis:
In this study we aim to perform a multi-modal characterization of the networks underlying visual hallucinations that could be used for clinical purposes.
Methods:
Patients suffering from drug-resistant epilepsy in whom visual hallucinations were elicited by alternating polarity high frequency stimulation (AP-HFS) during stereo-EEG were included. The responses were further classified in 14 clinical categories. We used three methods to characterize functional (FC) and effective connectivity (EC) underlying these clinical responses: non-linear regression analysis using h2 correlation coefficient (FC), magnitude of evoked responses (high-frequency activation - HFA) and phase-locking value (PLV) during stimulation (EC).
Results:
We selected 64 consecutive patients in which we applied the AP-HFS and in 22 patients we elicited 130 visual hallucinations. The majority of visual hallucinations were elementary (n = 112), plus (n = 111), static (n = 82), continuous (n = 83) and non-color (n = 74). HFA method shows the highest magnitude of evoked responses in the primary visual cortex and lingual gyrus. PLV analysis reveals a posterior-anterior gradient of connectivity involving both dorsal and ventral stream. The h2 FC highlights the remote prefrontal networks involved in cognitive processing of visual information.
Conclusions:
We evidenced the networks underlying visual hallucinations with different clinical characteristics. These networks are particularly important for planning stereo-EEG explorations in patients with drug-resistant epilepsy and for functional prognosis in posterior acquired lesions and after surgical resections.

