4.4 Article

Neocortical pathological high-frequency oscillations are associated with frequency-dependent alterations in functional network topology

Journal

JOURNAL OF NEUROPHYSIOLOGY
Volume 110, Issue 10, Pages 2475-2483

Publisher

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/jn.00034.2013

Keywords

pathological high-frequency oscillations; functional connectivity; network; graph theory; graph theoretical analysis; epilepsy; neural oscillations; neural synchrony; seizure; cross-frequency; intracranial EEG; phase synchronization

Funding

  1. Canadian Institutes of Health Research (CIHR) Vanier Canada Graduate Scholarship
  2. CIHR Bisby Fellowship
  3. Hospital for Sick Children Foundation Student Scholarship Program
  4. Hospital for Sick Children Centre for Brain and Behaviour
  5. EpLink program of the Ontario Brain Institute
  6. Wiley Family
  7. Jack Beqaj Funds for Epilepsy Surgery Research
  8. University of Toronto Surgeon-Scientist Program
  9. Royal College of Physicians and Surgeons of Canada Clinician-Investigator Program

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Synchronization of neural oscillations is thought to integrate distributed neural populations into functional cell assemblies. Epilepsy is widely regarded as a disorder of neural synchrony. Knowledge is scant, however, regarding whether ictal changes in synchrony involving epileptogenic cortex are expressed similarly across various frequency ranges. Cortical regions involved in epileptic networks also exhibit pathological high-frequency oscillations (pHFOs, >80 Hz), which are increasingly utilized as biomarkers of epileptogenic tissue. It is uncertain how pHFO amplitudes are related to epileptic network connectivity. By calculating phase-locking values among intracranial electrodes implanted in children with intractable epilepsy, we constructed ictal connectivity networks and performed graph theoretical analysis to characterize their network properties at distinct frequency bands. Ictal data from 17 children were analyzed with a hierarchical mixed-effects model adjusting for patient-level covariates. Epileptogenic cortex was defined in two ways: 1) a hypothesis-driven method using the visually defined seizure-onset zone and 2) a data-agnostic method using the high-frequency amplitude of each electrode. Epileptogenic cortex exhibited a logarithmic decrease in interregional functional connectivity at high frequencies (>30 Hz) during seizure initiation and propagation but not at termination. At slower frequencies, conversely, epileptogenic cortex expressed a relative increase in functional connectivity. Our findings suggest that pHFOs reflect epileptogenic network interactions, yielding theoretical support for their utility in the presurgical evaluation of intractable epilepsy. The view that abnormal network synchronization plays a critical role in ictogenesis and seizure dynamics is supported by the observation that functional isolation of epileptogenic cortex at high frequencies is absent at seizure termination.

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