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Objective:To explore the correlation and mechanism between thalamic network abnormality and cognitive decline in patients with temporal lobe epilepsy (TLE).Methods:A total of 53 patients with unilateral TLE were consecutively enrolled through the epilepsy clinic of the First Affiliated Hospital of Guangxi Medical University from December 2018 to February 2020. During the same recruitment interval, 37 health controls(HC) with matching demographic characteristic were recruited. All subjects were received the Montreal cognitive assessment(MoCA) test and multimodal MRI scanning. Voxel-based morphometry method was used to study the changes of thalamic gray matter volume in patients with unilateral TLE. The structural covariance network and functional connectivity network based on seed points were used to analyze the changes of thalamic network in TLE patients. In addition, the correlations among abnormal thalamic structure, thalamic network and cognitive function score were analyzed. SPSS 22.0 software was used for statistical analysis. Independent sample t-test and Mann Whitney U test were used for inter group comparison. In order to explore the relationship between thalamus and thalamic network and cognitive performance in TLE patients, thalamic volume and gray matter volume and functional connection value of brain areas with abnormal synergistic changes were extracted and correlated with MoCA score. Results:The total score of MoCA in TLE patients (27.0(25.0, 29.0)) was significantly decreased compared with HC (29.0(28.0, 30.0))( Z=-4.601, P<0.001). Whole brain gray matter volume analysis showed that compared with HCTLE patients showed significant volume reduction in left cerebellum, right temporal pole, right fusiform gyrus, straight gyrus, bilateral middle temporal gyrus, thalamus, medial and paracingulate gyrus (GRF adjusted, voxel-level P<0.001 and cluster-level P<0.05). The thalamus-associated structural covariance network analysis revealed that compared with healthy controls, TLE patients exhibited decreased connectivity in right fusiform gyrus (MNI: x=28.5, y=-15.0, z=-34.5), left insula (MNI: x=-33.0, y=-18.0, z=-1.5), right middle temporal gyrus (MNI: x=55.5, y=-51.0, z=9.0), left complementary motor area (MNI: x=-10.5, y=1.5, z=57.0) and right posterior central gyrus (MNI: x=31.5, y=-33.0, z=51.0) ( P<0.001, cluster > 100). The thalamus-associated functional connectivity network analysis revealed that TLE patients exhibited decreased connectivity in left insula (MNI: x=-38, y=-7, z=-7), left lingual gyrus (MNI: x=-6, y=-81, z=-12), right lingual gyrus (MNI: x=15, y=-105, z=0) and left triangular inferior frontal gyrus (MNI: x=-39, y=36, z=-6) (GRF correction, voxel-level P<0.001 and cluster-level P<0.05). Volume of left insula which had decreased structural connectivity with thalamus were positively correlated with the MoCA score in TLE patients( r=0.279, P=0.043). Volume of left complementary motor area which had decreased structural connectivity with thalamus was positively correalated with the MoCA score and language score in TLE patients( r=0.323, P=0.018; r=0.334, P=0.015). Volume of left lingual gyrus which had decreased functional connectivity with thalamus was negatively correalated with the memory score in TLE patients ( r=-0.331, P=0.016). Conclusion:Thalamic volume, thalamic structural covariant network and functional connection network are changed in TLE patients. The abnormality of thalamic network is associated with cognitive performance in TLE patients, which may be the neural mechanism of thalamus participating in the cognitive impairment of TLE patients.
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Objective:To investigate longitudinal alterations of brain functional complex network by rest-stage functional magnetic resonance imaging (rs-fMRI) and graph theory in patients with temporal lobe epilepsy (TLE).Methods:A total of 13 TLE patients (TLE baseline group) and 13 healthy controls (healthy control group) were enrolled to observe alterations in complex functional network. The subjects were recruited in the Epilepsy Clinic of the First Affiliated Hospital of Guangxi Medical University from January 2015 to April 2018. For longitudinal analysis, TLE patients were followed-up for three years (TLE follow-up group). All participants underwent rs-fMRI and attention network test (ANT). Finally, a cross-sectional study was conducted by comparing the area under the curve (AUC) between the TLE baseline group and the healthy control group, and a longitudinal analysis was conducted by comparing the AUC between the TLE baseline group and the TLE follow-up group.Results:Cross-sectional analysis showed that the alerting function of the TLE baseline group was declined [The tonic alertness reaction time, phasic alertness reaction time and alertness were (727.00±126.07) ms, (692.85±132.37) ms, and (34.15±23.50) ms, respectively in the TLE baseline group, which were (639.87±81.41) ms, (589.50±80.59) ms, and (50.37±14.71) ms, respectively in the healthy control group, with statistically significant differences between the two groups ( t=-2.09, P=0.047; t=-2.41, P=0.024; t=2.11, P=0.045)]; the TLE baseline group demonstrated decreased clustering coefficient in left supplementary motor area (SMA.L)(AUC was 0.162±0.044, 0.189±0.021, respectively; t=-4.14, P=4.67E-04) and left inferior parietal supramarginal angular gyri (AUC was 0.178±0.021, 0.202±0.026, respectively; t=-2.42, P=0.024), and decreased nodal local efficiency in SMA.L (AUC was 0.239±0.045, 0.260±0.022, respectively; t=-4.13, P=4.77E-04) and left inferior temporal gyrus (AUC was 0.233±0.036, 0.253±0.027, respectively; t=-3.03, P=0.006) compared with the healthy control group, and both SMA.L clustering coefficient and nodal local efficiency were positively correlated with TLE patients′ duration ( r=0.652, P<0.05; r=0.611, P<0.05). Longitudinal analysis showed that the global network efficiency of the TLE follow-up group decreased (The AUC of the TLE baseline group was 0.182±0.008, and the AUC of the TLE follow-up group was 0.169±0.015, t=2.73, P=0.017), which was negatively correlated with alertness ( r=-0.617, P<0.05). Conclusions:TLE patients show impairment of topological properties of brain functional network. SMA.L is a significant node in network. Alterations of brain functional network associate with duration. The decline in global network efficiency may be a characteristic of progressive deficit to TLE.
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Objective: To deal with the scientific accounting treatment of “clearing balance” in medical post payment system. Methods: Using qualitative analysis and social survey methods to discuss the influence of medical post payment system and risk prevention of medical treatment pool fund on “clearing balance” . Results: The accounting treatment of “clearing balance” in the new “Hospital Accounting System” has difficulty in the accounting practice. Conclusion: Treating “clearing balance” as bad debt losses to deal through allowance account is proposed.