Aims To compare different patterns of memory impairment in patients with two subtypes of mesial temporal lobe epilepsy (MTLE) and healthy controls. Methods Thirty‐five healthy controls and 41 patients with MTLE were recruited, of which 25 patients were diagnosed as hippocampal sclerosis (HS‐MTLE), and the rest 16 patients were lesion‐negative (MRI‐neg MTLE). Participants completed the Wechsler memory assessment and a short‐term memory game on an automated computer‐based memory assessment platform with an eye tracker. Results Both the MRI‐neg MTLE and HS‐MTLE groups took longer time to complete the short‐term memory game than healthy controls (p < 0.001, Cohen's d = 1.087; p = 0.047, Cohen's d = 0.787). During the memory encoding phase, the MRI‐neg MTLE group spent significantly shorter time than healthy controls on the difficult levels with three (p = 0.004, Cohen's d = 0.993) and four targets (p = 0.016, Cohen's d = 0.858). During the memory decoding phase, the HS‐MTLE group spent less time looking on the targets compared to controls when recalling and finding four targets (p = 0.004, Cohen's d = −0.793), while the MRI‐neg MTLE group spent significantly longer time on the distractors and shorter time on the region of interests (ROIs) for all difficulty levels (all p < 0.05) than controls. Furthermore, the eye tracking data were correlated with the scores of the Wechsler Memory Scale after Bonferroni correction (p < 0.05). Conclusion Patients with MRI‐neg MTLE demonstrate impaired memory mostly due to attention deficits, while those with HS‐MTLE show memory impairment with relative sparing of attention. Eye tracking technology has the potential of facilitating the investigation of the mechanism of memory defect in MTLE and can serve as a supplementary neuropsychological tool for clinical diagnosis and long‐term monitoring.

Corona Virus Disease 2019 (COVID-19), the novel coronavirus disease, is now a global pandemic. Vaccination can significantly reduce the mortality rate caused by the severe acute respiratory syndrome of coronavirus 2 (SARS-CoV-2). There are currently several effective vaccines that have been introduced. Inactivated COVID-19 vaccine is one of these options and is generally considered safe. Neurofascin (NF) plays an important role in keeping the functionality of the node of Ranvier. We report here a rare case of anti-NF186+ chronic inflammatory demyelinating polyneuropathy (CIDP) in a 23-year-old male patient who was vaccinated with inactivated COVID-19 vaccine prior to the onset. This report adds a new possible rare side effect of a COVID-19 vaccine and provides a case for the clinical effectiveness of rituximab (RTX) in patients with anti-NF186+ CIDP.

BackgroundCurrently, more than one-third of patients with drug-resistant temporal lobe epilepsy (TLE) continue to develop seizures after resection surgery. Dynamic functional network connectivity (DFNC) analyses, capturing temporal properties of functional connectivity during MRI acquisition, may help us identify unfavorable surgical outcomes. The purpose of this work was to explore the association of DFNC variations of preoperative resting-state MRI and surgical outcomes in patients with drug-resistant TLE.MethodsWe evaluated 61 patients with TLE matched for age and gender with 51 healthy controls (HC). Patients with TLE were classified as seizure-free (n = 39) and not seizure-free (n = 16) based on the Engel surgical outcome scale. Six patients were unable to confirm the postoperative status and were not included in the subgroup analysis. The DFNC was calculated using group spatial independent component analysis and the sliding window approach.ResultsDynamic functional network connectivity analyses suggested two distinct connectivity “States.” The dynamic connectivity state of patients with TLE was different from HC. TLE subgroup analyses showed not seizure-free (NSF) patients spent significantly more time in State II compared to seizure-free (SF) patients and HC. Further, the number of transitions from State II to State I was significantly lower in NSF patients. SF patients had compensatory enhancement of DFNC strengths between default and dorsal attention network, as well as within the default network. While reduced DFNC strengths of within-network and inter-network were both observed in NSF patients, patients with abnormally temporal properties and more extension DFNC strength alterations were less likely to receive seizure freedom.ConclusionsOur study indicates that DFNC could offer a better understanding of dynamic neural impairment mechanisms of drug-resistant TLE functional network, epileptic brain network reorganization, and provide an additional preoperative evaluation support for surgical treatment of drug-resistant TLE.

PurposeThis study was carried out to test the validity and reliability of the Chinese version of the Stigma Scale of Epilepsy (SSE), with aim to better understand the public stigmatizing attitudes of epilepsy in China and help elucidate stigma determinants for interventions.MethodsThe SSE was translated into Simplified Chinese Mandarin. In this study, most of the participants were enrolled via convenience sampling by randomly distributing questionnaires on the streets and parts of the participants were recruited by an online platform named Wenjuanxing. We assessed the psychometric properties of the SSE in 310 Chinese native-speaker. Cronbach's alpha was tested for reliability. Index of Content Validity (CVI) was calculated. Exploratory and confirmatory analysis were used to explore the factor structure and verify the validity of SSE.ResultsThe Cronbach's alpha is 0.936 for the overall scale, and the CVI value is greater than 0.78. The exploratory factor analysis (EFA) extracted SSE six factors: the fear of seizure attacks (factor 1), sympathy for patients with epilepsy (PWEs) (factor 2); difficulties faced by PWEs (factor 3); speculation on PWEs' feeling (factor 4); discrimination against PWEs (factor 5); and knowledge about epilepsy (factor 6). The item 13 was proven to be problematic and has been eliminated. The confirmatory factor analysis (CFA) ensured the great construct validity (χ2/SD = 1.725, goodness of fit index (GFI) = 0.916, and root mean square error of approximation (RMSEA) = 0.048), convergent validity (the factor loads of each item corresponding to each latent variable &gt;0.6, average variance extracted (AVE) &gt; 0.5, and composite reliability (CR) &gt; 0.7), and discrimination validity (all of the absolute value of correlation coefficient are &lt;0.5,and less than the square root of AVE) of the SSE.ConclusionsThe Chinese version of the SSE scale was a valid and reliable tool to measure epilepsy-associated stigma in the Chinese society.

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