Dynamic excitation/inhibition balance preceding seizure onset and its link to functional and structural brain architecture
Bibliographic record
Abstract
Abstract Altered excitation-inhibition (E/I) balance is a hallmark of epilepsy, yet its dynamic evolution before seizure onset remains unclear. In this study, we investigated time-resolved changes in cortical E/I balance and their network-level and structural correlates in patients with drug-resistant focal epilepsy. High-density EEG recordings encompassing at least one recorded seizure were obtained from pre-surgical evaluations. Using source-reconstructed EEG, we tracked dynamic changes in the aperiodic exponent of the power spectrum—a non-invasive proxy for E/I balance—during preictal and interictal periods. Directed functional connectivity was assessed using spectral Granger causality, and correlations with cortical thickness and neurotransmitter receptor density were evaluated. We found that the aperiodic exponent increased progressively in the minutes preceding seizures, reflecting a widespread shift toward cortical inhibition. This pattern was specific to the preictal state and evident across both epileptogenic and non-epileptogenic regions. Periodic activity in delta and theta bands also increased prior to seizures, supporting a global reorganization of cortical excitability. At the functional profile level, epileptogenic regions demonstrated significantly greater outward connectivity than both their inward connectivity and that of non-epileptogenic areas during the preictal phase. Moreover, E/I balance was differentially related to connectivity patterns: non-epileptogenic regions showed a positive correlation between inhibition (higher aperiodic exponent) and outward connectivity, whereas epileptogenic regions displayed a trend toward the opposite pattern. Structure-function coupling also diverged: cortical thickness positively correlated with inhibitory tone in non-epileptogenic regions but not in epileptogenic ones. Finally, we observed that lower values of muscarinic receptor density corresponded to an E/I balance shifted towards inhibition (ie., higher aperiodic exponent), linking cholinergic tone with preictal E/I dynamics. These findings indicate that seizure onset is preceded by a shift toward inhibition at the whole-brain level, accompanied by distinct patterns of directed connectivity and disrupted structural coupling in epileptogenic networks. This multiscale perspective highlights the interplay between electrophysiology, network topology and cortical architecture systems in the moments leading up to seizure onset. Our results support and enlarge the interictal suppression hypothesis, suggesting a network protective mechanism through inhibition, related to a perturbatory event as the seizure onset. Overall, the dynamic aperiodic exponent emerges as a promising non-invasive marker with potential applications in seizure prediction and network-targeted neuromodulation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".