This framework quantifies cortical excitability in patients, highlighting its potential clinical relevance.
Cortical excitability can be defined as the cortex's responsiveness to incoming stimuli. It can be probed with brain stimulation, either globally and non-invasively, using transcranial magnetic stimulation (TMS) or locally through direct electrical stimulation of the cortex. Here, we establish a method to quantify cortical excitability over its dynamical range, applying stimulation of increasing intensities and recording growing cortical responses via intracranial (i)EEG from patients with pharmacoresistant epilepsy (so-called stimulation-response curves). Approach: We propose a practical framework for (i) identifying effective cortical connections of different strength using Spearman's rank correlation on the stimulation-response curve, (ii) characterizing their linear or non-linear dynamics using two- to five-parameter fits of the measured stimulation-response curve and (iii) extracting the excitability index (ExI), a unitless quantity between 0 and 1 - the area under the normalized stimulation-response curve - that estimates the excitability of a given cortico-cortical connection. The robustness of this framework was characterized in a series of sensitivity and power analysis, in which a dataset of 9024 single-trial stimulations among 12 participants was subsampled. Results: Across brain regions, we found a total of 974 (34.5%) effective connections (p<0.005 FDR-corrected, Spearman correlation). A majority showed a non-linear stimulation-response relationship (R^2=0.89+/-0.12), and a five-parameter sigmoid fit was necessary in >30% of cases, justifying the added complexity (Akaike information criterion). To illustrate the clinical relevance of the proposed approach, we analyze the change in excitability in 4 patients pre- and post-medication (0.5-1 mg clonazepam, intravenously). Significance: We present a framework to probe, measure, fit, and quantify the excitability of cortico-cortical connections in practice. Our proposed excitability index provides a simple way to measure and compare cortical excitability across recorded brain areas, participants and conditions.
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Widmer et al. (2026) studied this question.
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