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. 2022 Jul 26:13:958294.
doi: 10.3389/fpsyt.2022.958294. eCollection 2022.

Altered voxel-mirrored homotopic connectivity in right temporal lobe epilepsy as measured using resting-state fMRI and support vector machine analyses

Yongqiang Chu  1   2 , Jun Wu  3 , Du Wang  1 , Junli Huang  1 , Wei Li  4 , Sheng Zhang  5 , Hongwei Ren  1
Affiliations

Altered voxel-mirrored homotopic connectivity in right temporal lobe epilepsy as measured using resting-state fMRI and support vector machine analyses

Yongqiang Chu et al. Front Psychiatry. .

Abstract

Background: Prior reports revealed abnormalities in voxel-mirrored homotopic connectivity (VMHC) when analyzing neuroimaging data from patients with various psychiatric conditions, including temporal lobe epilepsy (TLE). Whether these VHMC changes can be leveraged to aid in the diagnosis of right TLE (rTLE), however, remains to be established. This study was thus developed to examine abnormal VMHC findings associated with rTLE to determine whether these changes can be used to guide rTLE diagnosis.

Methods: The resultant imaging data of resting-state functional MRI (rs-fMRI) analyses of 59 patients with rTLE and 60 normal control individuals were analyzed using VMHC and support vector machine (SVM) approaches.

Results: Relative to normal controls, patients with rTLE were found to exhibit decreased VMHC values in the bilateral superior and the middle temporal pole (STP and MTP), the bilateral middle and inferior temporal gyri (MTG and ITG), and the bilateral orbital portion of the inferior frontal gyrus (OrbIFG). These patients further exhibited increases in VMHC values in the bilateral precentral gyrus (PreCG), the postcentral gyrus (PoCG), and the supplemental motor area (SMA). The ROC curve of MTG VMHC values showed a great diagnostic efficacy in the diagnosis of rTLE with AUCs, sensitivity, specificity, and optimum cutoff values of 0.819, 0.831, 0.717, and 0.465. These findings highlight the value of the right middle temporal gyrus (rMTG) when differentiating between rTLE and control individuals, with a corresponding SVM analysis yielding respective accuracy, sensitivity, and specificity values of 70.59% (84/119), 78.33% (47/60), and 69.49% (41/59).

Conclusion: In summary, patients with rTLE exhibit various forms of abnormal functional connectivity, and SVM analyses support the potential value of abnormal VMHC values as a neuroimaging biomarker that can aid in the diagnosis of this condition.

Keywords: network homogeneity; resting-state functional magnetic resonance imaging; right temporal lobe epilepsy; support vector machine analyses; voxel-mirrored homotopic connectivity.

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Conflict of interest statement

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.

Figures

Figure 1
Figure 1
Statistical maps showing VHMC differences between the subject groups. Blue denotes lower VHMC, red denotes higher VHMC, and the color bar indicates the T values from 2-sample t-tests.
Figure 2
Figure 2
The ROC curves of the altered brain regions in the diagnosis of TLE. The ROC curve of MTG VMHC values. The AUC was 0.819. The optimum cutoff value was 0.465 (sensitivity: 0.831 and specificity: 0.717).
Figure 3
Figure 3
Visualization of classifications through support vector machine (SVM) using the decreased VMHC values in rMTG to discriminate patients with rTLE from healthy controls. Left: SVM parameters result of 3D view. Right: Classified map of the VMHC values in rMTG.
See this image and copyright information in PMC

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