A review on epileptic foci localization using resting-state functional magnetic resonance imaging

Shi, Yue; Zhang, Xin; Yang, Chun; Ren, Jie Chuan; Li, Zhi Mei; Wang, Qun

doi:10.3934/mbe.2020137

Cited by 4 publications

(2 citation statements)

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“…Many analysis tools have been used in RS-fMRI, with ICA having more accuracy and high specificity of 92% to detect epileptogenic foci. 23 EEG-PET study has shown that gamma oscillations of EEG and PET had a negative correlation very similar to our RS-fMRI-PET study. 24 In trimodality imaging, an EEG cap creates an artifact on PET attenuation correction images and EEG acquisition is labor intensive process.…”

Section: Discussionsupporting

confidence: 88%

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Resting-State Functional MRI/PET Profile as a Potential Alternative to Tri-Modality EEG-MR/PET Imaging: An Exploratory Study in Drug-Refractory Epilepsy

et al. 2023

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Objective The study explores whether the epileptic networks associate with predetermined seizure onset zone (SOZ) identified from other modalities such as electroencephalogram/video electroencephalogram/structural MRI (EEG/VEEG/sMRI) and with the degree of resting-state functional MRI/positron emission tomography (RS-fMRI/PET) coupling. Here, we have analyzed the subgroup of patients who reported having a seizure on the day of scan as postictal cases and compared the findings with interictal cases (seizure-free interval). Methods We performed independent component analysis (ICA) on RS-fMRI and 20 ICA were hand-labeled as large scale, noise, downstream, and epilepsy networks (Epinets) based on their profile in spatial, time series, and power spectrum domains. We had a total of 43 cases, with 4 cases in the postictal group (100%). Of 39 cases, 14 cases did not yield any Epinet and 25 cases (61%) were analyzed for the final study. The analysis was done patient-wise and correlated with predetermined SOZ. Results The yield of finding Epinets on RS-fMRI is more during the postictal period than in the interictal period, although PET and RS-fMRI spatial, time series, and power spectral patterns were similar in both these subgroups. Overlaps between large-scale and downstream networks were noted, indicating that epilepsy propagation can involve large-scale cognition networks. Lateralization to SOZ was noted as blood oxygen level–dependent activation and correlated with sMRI/PET findings. Postoperative surgical failure cases showed residual Epinet profile. Conclusion RS-fMRI may be a viable option for trimodality imaging to obtain simultaneous physiological information at the functional network and metabolic level.

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Section: Discussionsupporting

confidence: 88%

“…Many analysis tools have been used in RS-fMRI, with ICA having more accuracy and high specificity of 92% to detect epileptogenic foci. 23 …”

Section: Discussionmentioning

confidence: 99%