# Multi-Graph Assessment of Temporal and Extratemporal Lobe Epilepsy in Resting-State fMRI
## 2 Materials and Methods
### Preprocessing  
The FMRIB's Software Library (FSL; v 6.0.1; [[https://www.fMRI.ox.ac.uk/fsl](https://www.fMRI.ox.ac.uk/fsl)]([https://www.fMRI.ox.ac.uk/fsl](https://www.fMRI.ox.ac.uk/fsl)); accessed on 15 January 2024) was utilized for the preprocessing pipeline of fMRI data [35]. Gradient field maps were utilized to estimate the scanner inhomogeneities for data correction and better registration procedures. The effective echo spacing of the fMRI data was at 0.78 ms. The preprocessing pipeline included brain extraction, motion correction via linear registration with 6 DOF to the middle fMRI volume of the acquisition, spatial smoothing  
\begin{table}
\begin{tabular}{c c} \hline \hline \multicolumn{1}{c}{**Characteristics**} & \multicolumn{1}{c}{21} \\ \hline Number of Individuals & 28 \\ Age, mean in years (range) & 28.4 \(\pm\) 8.9 (14-41) \({}^{\ast}\) ** & 21.3 \(\pm\) 6.4 (13–40) ** \\ Age of seizure onset, & 17.1 \(\pm\) 12.1 (0.2–39) ** & 2.5–39 \\ \hline \hline \multicolumn{1}{c}{**Affected Hemisphere**} \\ \hline Left, N (\%) & 19 (67.9) & 11 (68.75) \\ Right, N (\%) & 7 (25) & 5 (31.25) \\ Bilateral, N (\%) & 2 (7.1) & 0 (0) \\ \hline \hline \multicolumn{1}{c}{**Pathology**} \\ \hline Grade I astrocytoma & 3 (10.7) & 2 (12.5) \\ Gangliogloma & 2 (7.1) & 0 (0) \\ Gliosis & 0 (0) & 1 (6.25) \\ MTS & 5 (17.9) & 0 (0) \\ Meningioma & 0 (0) & 1 (6.25) \\ DNET & 3 (10.7) & 1 (6.25) \\ FCD & 3 (10.7) & 3 (18.75) \\ unknown & 12 (42.9) & 5 (31.25) \\ \hline \hline \end{tabular} Note: Asterisk (\({}^{\ast}\)) denotes a statistical difference with the control group (\(p<0.05\)); Double asterisk (**) denotes a statistical difference between the patient groups (\(p<0.05\)); MTS: Medial Temporal Sclerosis; DNET: Dysembryoblastic Neuroepithelial Tumor; FCD: Focal Cortical Dysplasia.  
\end{table}
Table 1: Demographic and clinical characteristics of healthy controls.  
\begin{table}
\begin{tabular}{c c} \hline \hline \multicolumn{1}{c}{**Characteristics**} & \multicolumn{1}{c}{21} \\ \hline Number of Individuals & 21 \\ Female, N (\%) & 12 (57.1) \\ Age, mean in years (std, range) & 31.6 (7.4, 18–44) \\ Handedness: left, N (\%) & 0 (0) \\ Handedness: right, N (\%) & 20 (100) \\ Language Lateralization: left, N (\%) & 19 (95) \\ Language Lateralization: right, N (\%) & 1 (5) \\ \hline \hline \end{tabular}
\end{table}
Table 2: Demographic and clinical characteristics of patient groups.  
with a kernel of 4 mm FWHM, grand mean intensity normalization, and a high pass filter at 100 s. Registration was performed from the fMRI template image to the T1 image with the BBR algorithm and inverted to apply the transformation to the label image and capture the time series of each region in the fMRI space to avoid unnecessary interpolations [36; 37]. Afterwards, independent component analysis was performed for each session and the components related to any artifact were manually recognized and regressed out of the signal for the subsequent analysis [38; 39]. Registration to a template was not performed, as the time series were extracted to the fMRI space for each subject.