Objective:To explore the alteration of structural network, cognitive scores in patients with anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis, as well as the relationship between cognitive impairment and changes of structural networks in patients with NMDAR encephalitis.Methods:This study was a retrospective study. A total of 39 patients with anti-NMDAR encephalitis were recruited as the autoimmune encephalitis group (AE group) from the First Affiliated Hospital of Chongqing Medical University between September 2012 to December 2019, and 32 healthy volunteers with normal results of routine head MR examinations and no history of central nervous system diseases were recruited as the health control group (HC group). There were 16 males and 23 females, aged from 13 to 66 (34±15) years, with duration of disease from 11 to 110 (31±20) days in AE group, and there were 16 males and 23 females, aged from 13 to 66 (34±15) years in HC group. All subjects underwent diffusion tensor imaging (DTI) scan and cognitive function evaluation. The brain structural networks of two groups were constructed by deterministic fiber tracking techniques, and the differences of global topological properties [clustering coefficient (C p), shortest path length (L p), local efficiency (E loc), global efficiency (E glob), normalized C p (γ), normalized L p (λ), small-worldness (σ)] and local topological properties between two groups were analyzed by the graph theory approch. The correlations between characteristics of brain structural networks and cognitive function scores were further analyzed. Results:There was no significant difference in age and gender distribution between the AE group and HC group ( P>0.05). The C p [0.005(0.004, 0.007)], γ (1.76±0.13), λ (0.51±0.03) and σ value (1.57±0.13) of AE group were decreased when compared with HC group [the values were 0.007(0.004,0.017), 2.13±0.63, 0.55±0.06 and 1.73±0.36 each] ( Z=-939.00, t=-3.58, t=-4.16, t=-2.58, P<0.05). Compared with HC group, nodal efficiencies in the left middle frontal gyrus (orbital part), left and right supplementary motor areas, left olfactory cortex, left gyrus rectus, bilateral insula, left postcentral gyrus, left paracentral lobule and right heschl gyrus were changed ( P<0.05). There were five identical hub regions which contains the left middle occipital gyrus, bilateral supplementary motor areas and precuneus in both groups. However, in the AE group, three hub regions of the left middle occipital gyrus and bilateral middle temporal gyrus were reduced, and the left precentral gyrus was increased as hub region. The nodal efficiencies of the left supplementary motor areas ( r=0.393, P=0.013), right supplementary motor areas ( r=0.384, P=0.016) and left paracentral lobule ( r=0.356, P=0.026) were positively correlated with the montreal cognitive assessment scores. Conclusion:The white matter is extensively impaired in anti-NMDAR encephalitis patients and the changes of topological properties in several brain regions are correlated with cognitive decline.

Objective:To investigate the distribution of iron deposition in the substantia nigral (SN) subregions on quantitative susceptibility mapping (QSM) and the change of swallow tail sign (STS) in patients with relapsing-remitting multiple sclerosis (RRMS) of different disease stages.Methods:The clinical and imaging data of 53 patients with RRMS (case group) diagnosed at the First Hospital of Chongqing Medical University from November 2019 to December 2021 were retrospectively analyzed. The case group was divided into 0-5 years subgroup, 6-10 years subgroup, and >10 years subgroup according to the disease duration; another 37 age-and gender-matched healthy volunteers were recruited as the control group during the same period. All subjects underwent MRI and QSM reconstruction. First, the SN was divided into four subregions: rostral anterior-SN (aSNr), rostral posterior-SN (pSNr), caudal anterior-SN (aSNc), and caudal posterior-SN (pSNc) on the QSM, and the quantitative susceptibility value (QSV) of each subregion was measured, and then the STS of the SN was observed and scored on the susceptibility weighted imaging (SWI) generated by post-processing. ANOVA was used to compare the differences in the QSV of each subregion of SN among the groups, and the probability of abnormal STS was compared using the χ 2 test. Spearman′s test was used to analyze the correlation between the QSV of each subregion of SN and the STS score. Results:The differences in QSV of aSNr, pSNr, aSNc, and pSNc were statistically significant among the 0-5 years subgroup, 6-10 years subgroup,>10 years subgroup of RRMS patients and the control group ( P<0.05). The QSV of aSNr, pSNr, and aSNc in 0-5 years subgroup was higher than those in the control group ( P was 0.039, 0.008, 0.039, respectively). The QSV of aSNr, aSNc, and pSNc in the 6-10 years subgroup were higher than those in the 0-5 years subgroup ( P was <0.001, 0.020, 0.015, respectively). The QSV of the aSNc, pSNc in >10 years subgroup were lower than those in the 6-10 years subgroup ( P=0.037, 0.006). The QSV of aSNr, pSNr in >10 years subgroup were higher than those in the control group ( P was <0.001, 0.001). There were 7 cases of abnormal STS in the 0-5 years subgroup, 11 cases in the 6-10 years subgroup, 12 cases in >10 years subgroup, and 9 cases in the control subgroup, and there was a statistically significant difference in the probability of abnormal STS among the subgroups of the RRMS patients and the control subgroup (χ 2=16.20, P=0.011). Both the scores of STS in the 6-10 years subgroup and >10 years group were positively correlated with the QSV in pSNc ( r s=0.65, P=0.006; r s=0.48, P=0.045). Conclusions:In RRMS patients, SN iron deposition is concentrated on aSNr, pSNr, and aSNc in the 0-5 years subgroup and on aSNr, aSNc and pSNc in the 6-10 years subgroup. The QSVs of all SN subregions have a downward trend in >10 years subgroup compared with that in the 6-10 years subgroup. Both the QSVs of the pSNc in the 6-10 years group and >10 years group are positively related to STS scores. These help explore the potential progression pattern of SN iron deposition in RRMS patients and the cause of abnormal STS in RRMS patients.