Literature DB >> 35388455

Diffusion tractography predicts propagated high-frequency activity during epileptic spasms.

Nolan B O'Hara1,2, Min-Hee Lee2,3, Csaba Juhász1,2,3,4, Eishi Asano1,2,3,4, Jeong-Won Jeong1,2,3,4.   

Abstract

OBJECTIVE: To determine the structural networks that constrain propagation of ictal oscillations during epileptic spasm events, and compare the observed propagation patterns across patients with successful or unsuccessful surgical outcomes.
METHODS: Subdural electrode recordings of 18 young patients (age 1-11 years) were analyzed during epileptic spasm events to determine ictal networks and quantify the amplitude and onset time of ictal oscillations across the cortical surface. Corresponding structural networks were generated with diffusion magnetic resonance imaging (MRI) tractography by seeding the cortical region associated with the earliest average oscillation onset time, and white matter pathways connecting active electrode regions within the ictal network were isolated. Properties of this structural network were used to predict oscillation onset times and amplitudes, and this relationship was compared across patients who did and did not achieve seizure freedom following resective surgery.
RESULTS: Onset propagation patterns were relatively consistent across each patient's spasm events. An electrode's average ictal oscillation onset latency was most significantly associated with the length of direct corticocortical tracts connecting to the area with the earliest average oscillation onset (p < .001, model R2  = .54). Moreover, patients demonstrating a faster propagation of ictal oscillation signals within the corticocortical network were more likely to have seizure recurrence following resective surgery (p = .039). In addition, ictal oscillation amplitude was associated with connecting tractography length and weighted fractional anisotropy (FA) measures along these pathways (p = .002/.030, model R2  = .31/.25). Characteristics of analogous corticothalamic pathways did not show significant associations with ictal oscillation onset latency or amplitude. SIGNIFICANCE: Spatiotemporal propagation patterns of high-frequency activity in epileptic spasms align with length and FA measures from onset-originating corticocortical pathways. Considering the data in this individualized framework may help inform surgical decision-making and expectations of surgical outcomes.
© 2022 International League Against Epilepsy.

Entities:  

Keywords:  diffusion MRI tractography; high-frequency oscillations; infantile spasms; intracranial electroencephalography; seizure propagation; surgical outcome

Mesh:

Year:  2022        PMID: 35388455      PMCID: PMC9283246          DOI: 10.1111/epi.17251

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   6.740


  46 in total

1.  Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm.

Authors:  Y Zhang; M Brady; S Smith
Journal:  IEEE Trans Med Imaging       Date:  2001-01       Impact factor: 10.048

2.  Anatomically-constrained tractography: improved diffusion MRI streamlines tractography through effective use of anatomical information.

Authors:  Robert E Smith; Jacques-Donald Tournier; Fernando Calamante; Alan Connelly
Journal:  Neuroimage       Date:  2012-06-13       Impact factor: 6.556

3.  Infantile spasms: II. Lenticular nuclei and brain stem activation on positron emission tomography.

Authors:  H T Chugani; D A Shewmon; R Sankar; B C Chen; M E Phelps
Journal:  Ann Neurol       Date:  1992-02       Impact factor: 10.422

4.  γ-oscillations modulated by picture naming and word reading: intracranial recording in epileptic patients.

Authors:  Helen C Wu; Tetsuro Nagasawa; Erik C Brown; Csaba Juhasz; Robert Rothermel; Karsten Hoechstetter; Aashit Shah; Sandeep Mittal; Darren Fuerst; Sandeep Sood; Eishi Asano
Journal:  Clin Neurophysiol       Date:  2011-04-17       Impact factor: 3.708

5.  Denoising of diffusion MRI using random matrix theory.

Authors:  Jelle Veraart; Dmitry S Novikov; Daan Christiaens; Benjamin Ades-Aron; Jan Sijbers; Els Fieremans
Journal:  Neuroimage       Date:  2016-08-11       Impact factor: 6.556

6.  Reproducibility of interictal spike propagation in children with refractory epilepsy.

Authors:  Samuel B Tomlinson; Jeremy N Wong; Erin C Conrad; Benjamin C Kennedy; Eric D Marsh
Journal:  Epilepsia       Date:  2019-04-21       Impact factor: 5.864

7.  Prediction of postoperative deficits using an improved diffusion-weighted imaging maximum a posteriori probability analysis in pediatric epilepsy surgery.

Authors:  Min-Hee Lee; Nolan B O'Hara; Yasuo Nakai; Aimee F Luat; Csaba Juhasz; Sandeep Sood; Eishi Asano; Jeong-Won Jeong
Journal:  J Neurosurg Pediatr       Date:  2019-02-22       Impact factor: 2.713

8.  Three- and four-dimensional mapping of speech and language in patients with epilepsy.

Authors:  Yasuo Nakai; Jeong-Won Jeong; Erik C Brown; Robert Rothermel; Katsuaki Kojima; Toshimune Kambara; Aashit Shah; Sandeep Mittal; Sandeep Sood; Eishi Asano
Journal:  Brain       Date:  2017-05-01       Impact factor: 13.501

9.  Dynamic tractography-based localization of spike sources and animation of spike propagations.

Authors:  Takumi Mitsuhashi; Masaki Sonoda; Kazuki Sakakura; Jeong-Won Jeong; Aimee F Luat; Sandeep Sood; Eishi Asano
Journal:  Epilepsia       Date:  2021-07-29       Impact factor: 6.740

10.  Predicting Surgery Targets in Temporal Lobe Epilepsy through Structural Connectome Based Simulations.

Authors:  Frances Hutchings; Cheol E Han; Simon S Keller; Bernd Weber; Peter N Taylor; Marcus Kaiser
Journal:  PLoS Comput Biol       Date:  2015-12-10       Impact factor: 4.475

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