Resting-State fMRI Can Detect Alterations in Seizure Onset and Spread Regions in Patients with Non-Lesional Epilepsy: A Pilot Study.

Autor:	Sathe AV; Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA, USA., Matias CM; Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA, USA., Kogan M; Department of Neurological Surgery, University of New Mexico, Albuquerque, NM, USA., Ailes I; Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA, USA., Syed M; Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA, USA., Kang K; Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA, USA., Miao J; Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA, USA., Talekar K; Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA., Faro S; Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA., Mohamed FB; Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA., Tracy J; Department of Neurology, Thomas Jefferson University, Philadelphia, PA, USA., Sharan A; Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA, USA., Alizadeh M; Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA, USA.
Jazyk:	angličtina
Zdroj:	Frontiers in neuroimaging [Front Neuroimaging] 2023; Vol. 2. Date of Electronic Publication: 2023 May 05.
DOI:	10.3389/fnimg.2023.1109546
Abstrakt:	Introduction: Epilepsy is defined as non-lesional (NLE) when a lesion cannot be localized via standard neuroimaging. NLE is known to have a poor response to surgery. Stereotactic electroencephalography (sEEG) can detect functional connectivity (FC) between zones of seizure onset (OZ) and early (ESZ) and late (LSZ) spread. We examined whether resting-state fMRI (rsfMRI) can detect FC alterations in NLE to see whether noninvasive imaging techniques can localize areas of seizure propagation to potentially target for intervention. Methods: This is a retrospective study of 8 patients with refractory NLE who underwent sEEG electrode implantation and 10 controls. The OZ, ESZ, and LSZ were identified by generating regions around sEEG contacts that recorded seizure activity. Amplitude synchronization analysis was used to detect the correlation of the OZ to the ESZ. This was also done using the OZ and ESZ of each NLE patient for each control. Patients with NLE were compared to controls individually using Wilcoxon tests and as a group using Mann-Whitney tests. Amplitude of low-frequency fluctuations (ALFF), fractional ALFF (fALFF), regional homogeneity (ReHo), degree of centrality (DoC), and voxel-mirrored homotopic connectivity (VMHC) were calculated as the difference between NLE and controls and compared between the OZ and ESZ and to zero. A general linear model was used with age as a covariate with Bonferroni correction for multiple comparisons. Results: Five out of 8 patients with NLE showed decreased correlations from the OZ to the ESZ. Group analysis showed patients with NLE had lower connectivity with the ESZ. Patients with NLE showed higher fALFF and ReHo in the OZ but not the ESZ, and higher DoC in the OZ and ESZ. Our results indicate that patients with NLE show high levels of activity but dysfunctional connections in seizure-related areas. Discussion: rsfMRI analysis showed decreased connectivity directly between seizure-related areas, while FC metric analysis revealed increases in local and global connectivity in seizure-related areas. FC analysis of rsfMRI can detect functional disruption that may expose the pathophysiology underlying NLE. Competing Interests: Conflict of Interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Databáze:	MEDLINE
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