1.Abnormal changes of white matter structure in temporal lobe epilepsy patients with sleep disorders based on diffusion kurtosis imaging
Min GUO ; Yanjing LI ; Boxing SHEN ; Hong LUO ; Ruohan YUAN ; Jie HU ; Xing TANG
Journal of Practical Radiology 2024;40(1):1-5
Objective To investigate the microstructural changes of temporal lobe epilepsy(TLE)in patients with sleep disorders based on diffusion kurtosis imaging(DKI).Methods This research prospectively included 38 TLE patients(case group)and 20 healthy controls(HC)(HC group).Participants used sleep questionnaires to evaluate their sleep status.All TLE patients were divided into groups with and without sleep disorders according to the diagnostic criteria and scale scores of sleep disorders.The mean kurtosis(MK),mean diffusivity(MD),and fractional anisotropy(FA)of the relevant region of interest(ROI)were measured by DKI sequence.The differences of sleep quality scores and DKI parameters between groups were further compared via independent samples t-test and one-way analysis of variance.Results The Epworth sleepiness scale(ESS),Athens insomnia scale(AIS),and Pittsburgh sleep qual-ity index(PSQI)scores of TLE patients with sleep disorders were significantly higher than those of HC group(P<0.05).The FA and MK values in TLE patients were significantly lower than those in HC group,while the MD value of TLE patients were substan-tially higher than that of HC group(P<0.05).The values of MK and FA in left TLE patients with sleep disorders were significantly lower than those of without sleep disorders(P<0.05),while there was no significant difference in MD value between the two groups(P>0.05).MK value of right TLE patients with sleep disor-ders was significantly lower than that of without sleep disorders(P<0.05),however,there were no significant differences in MD and FA values between the two groups(P>0.05).Conclusion Quantitative DKI analysis revealed differences in DKI parameters in TLE patients combined with sleep disorders,inferring a specific white matter fiber damage in this group and providing imaging data to support the personalized treatment and prognostic assessment of these patients.