Literature DB >> 24004529

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

George M Ibrahim1, Ryan Anderson, Tomoyuki Akiyama, Ayako Ochi, Hiroshi Otsubo, Gabrielle Singh-Cadieux, Elizabeth Donner, James T Rutka, O Carter Snead, Sam M Doesburg.   

Abstract

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.

Entities:  

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

Mesh:

Year:  2013        PMID: 24004529     DOI: 10.1152/jn.00034.2013

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  9 in total

1.  Neuronal dynamics enable the functional differentiation of resting state networks in the human brain.

Authors:  Marco Marino; Quanying Liu; Jessica Samogin; Franca Tecchio; Carlo Cottone; Dante Mantini; Camillo Porcaro
Journal:  Hum Brain Mapp       Date:  2018-11-15       Impact factor: 5.038

Review 2.  Regional and global connectivity disturbances in focal epilepsy, related neurocognitive sequelae, and potential mechanistic underpinnings.

Authors:  Dario J Englot; Peter E Konrad; Victoria L Morgan
Journal:  Epilepsia       Date:  2016-08-24       Impact factor: 5.864

3.  Resting-State SEEG May Help Localize Epileptogenic Brain Regions.

Authors:  Sarah E Goodale; Hernán F J González; Graham W Johnson; Kanupriya Gupta; William J Rodriguez; Robert Shults; Baxter P Rogers; John D Rolston; Benoit M Dawant; Victoria L Morgan; Dario J Englot
Journal:  Neurosurgery       Date:  2020-06-01       Impact factor: 4.654

4.  Resilience of developing brain networks to interictal epileptiform discharges is associated with cognitive outcome.

Authors:  George M Ibrahim; Daniel Cassel; Benjamin R Morgan; Mary Lou Smith; Hiroshi Otsubo; Ayako Ochi; Margot Taylor; James T Rutka; O Carter Snead; Sam Doesburg
Journal:  Brain       Date:  2014-08-07       Impact factor: 13.501

5.  High frequency oscillations and high frequency functional network characteristics in the intraoperative electrocorticogram in epilepsy.

Authors:  W J E M Zweiphenning; M A van 't Klooster; E van Diessen; N E C van Klink; G J M Huiskamp; T A Gebbink; F S S Leijten; P H Gosselaar; W M Otte; C J Stam; K P J Braun; G J M Zijlmans
Journal:  Neuroimage Clin       Date:  2016-11-04       Impact factor: 4.881

6.  Spatiotemporal changes in regularity of gamma oscillations contribute to focal ictogenesis.

Authors:  Yosuke Sato; Simeon M Wong; Yasushi Iimura; Ayako Ochi; Sam M Doesburg; Hiroshi Otsubo
Journal:  Sci Rep       Date:  2017-08-24       Impact factor: 4.379

Review 7.  High-Frequency Oscillations in the Scalp Electroencephalogram: Mission Impossible without Computational Intelligence.

Authors:  Peter Höller; Eugen Trinka; Yvonne Höller
Journal:  Comput Intell Neurosci       Date:  2018-08-07

8.  Increased gamma and decreased fast ripple connections of epileptic tissue: A high-frequency directed network approach.

Authors:  Willemiek J E M Zweiphenning; Hanneke M Keijzer; Eric van Diessen; Maryse A van 't Klooster; Nicole E C van Klink; Frans S S Leijten; Peter C van Rijen; Michel J A M van Putten; Kees P J Braun; Maeike Zijlmans
Journal:  Epilepsia       Date:  2019-07-22       Impact factor: 5.864

9.  Phase Resetting in the Anterior Cingulate Cortex Subserves Childhood Attention and Is Impaired by Epilepsy.

Authors:  Simeon M Wong; Olivia N Arski; Nebras M Warsi; Elizabeth W Pang; Elizabeth Kerr; Mary Lou Smith; Benjamin T Dunkley; Ayako Ochi; Hiroshi Otsubo; Roy Sharma; Puneet Jain; Elizabeth Donner; O Carter Snead; George M Ibrahim
Journal:  Cereb Cortex       Date:  2021-11-23       Impact factor: 4.861

  9 in total

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