The Interictal Suppression Hypothesis in focal epilepsy: network-level supporting evidence

  • Graham W Johnson
    Department of Biomedical Engineering, Vanderbilt University , Nashville, TN 37235 , USA
  • Derek J Doss
    Department of Biomedical Engineering, Vanderbilt University , Nashville, TN 37235 , USA
  • Victoria L Morgan
    Department of Biomedical Engineering, Vanderbilt University , Nashville, TN 37235 , USA
  • Danika L Paulo
    Department of Neurological Surgery, Vanderbilt University Medical Center , Nashville, TN 37232 , USA
  • Leon Y Cai
    Department of Biomedical Engineering, Vanderbilt University , Nashville, TN 37235 , USA
  • Jared S Shless
    Vanderbilt University Institute of Imaging Science (VUIIS), Vanderbilt University Medical Center , Nashville, TN 37232 , USA
  • Aarushi S Negi
    Department of Neuroscience, Vanderbilt University , Nashville, TN 37232 , USA
  • Abhijeet Gummadavelli
    Department of Neurological Surgery, Vanderbilt University Medical Center , Nashville, TN 37232 , USA
  • Hakmook Kang
    Department of Biostatistics, Vanderbilt University , Nashville, TN 37232 , USA
  • Shilpa B Reddy
    Department of Pediatrics, Vanderbilt Children’s Hospital , Nashville, TN 37232 , USA
  • Robert P Naftel
    Department of Neurological Surgery, Vanderbilt University Medical Center , Nashville, TN 37232 , USA
  • Sarah K Bick
    Department of Neurological Surgery, Vanderbilt University Medical Center , Nashville, TN 37232 , USA
  • Shawniqua Williams Roberson
    Department of Neurology, Vanderbilt University Medical Center , Nashville, TN 37232 , USA
  • Benoit M Dawant
    Department of Biomedical Engineering, Vanderbilt University , Nashville, TN 37235 , USA
  • Mark T Wallace
    Department of Hearing and Speech Sciences, Vanderbilt University , Nashville, TN 37232 , USA
  • Dario J Englot
    Department of Biomedical Engineering, Vanderbilt University , Nashville, TN 37235 , USA

説明

<jats:title>Abstract</jats:title><jats:p>Why are people with focal epilepsy not continuously having seizures? Previous neuronal signalling work has implicated gamma-aminobutyric acid balance as integral to seizure generation and termination, but is a high-level distributed brain network involved in suppressing seizures? Recent intracranial electrographic evidence has suggested that seizure-onset zones have increased inward connectivity that could be associated with interictal suppression of seizure activity. Accordingly, we hypothesize that seizure-onset zones are actively suppressed by the rest of the brain network during interictal states.</jats:p><jats:p>Full testing of this hypothesis would require collaboration across multiple domains of neuroscience. We focused on partially testing this hypothesis at the electrographic network level within 81 individuals with drug-resistant focal epilepsy undergoing presurgical evaluation. We used intracranial electrographic resting-state and neurostimulation recordings to evaluate the network connectivity of seizure onset, early propagation and non-involved zones. We then used diffusion imaging to acquire estimates of white-matter connectivity to evaluate structure–function coupling effects on connectivity findings. Finally, we generated a resting-state classification model to assist clinicians in detecting seizure-onset and propagation zones without the need for multiple ictal recordings.</jats:p><jats:p>Our findings indicate that seizure onset and early propagation zones demonstrate markedly increased inwards connectivity and decreased outwards connectivity using both resting-state (one-way ANOVA, P-value = 3.13 × 10−13) and neurostimulation analyses to evaluate evoked responses (one-way ANOVA, P-value = 2.5 × 10−3). When controlling for the distance between regions, the difference between inwards and outwards connectivity remained stable up to 80 mm between brain connections (two-way repeated measures ANOVA, group effect P-value of 2.6 × 10−12). Structure–function coupling analyses revealed that seizure-onset zones exhibit abnormally enhanced coupling (hypercoupling) of surrounding regions compared to presumably healthy tissue (two-way repeated measures ANOVA, interaction effect P-value of 9.76 × 10−21). Using these observations, our support vector classification models achieved a maximum held-out testing set accuracy of 92.0 ± 2.2% to classify early propagation and seizure-onset zones.</jats:p><jats:p>These results suggest that seizure-onset zones are actively segregated and suppressed by a widespread brain network. Furthermore, this electrographically observed functional suppression is disproportionate to any observed structural connectivity alterations of the seizure-onset zones. These findings have implications for the identification of seizure-onset zones using only brief electrographic recordings to reduce patient morbidity and augment the presurgical evaluation of drug-resistant epilepsy. Further testing of the interictal suppression hypothesis can provide insight into potential new resective, ablative and neuromodulation approaches to improve surgical success rates in those suffering from drug-resistant focal epilepsy.</jats:p>

収録刊行物

  • Brain

    Brain 146 (7), 2828-2845, 2023-02-01

    Oxford University Press (OUP)

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