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Background Hereditary spastic paraplegias (HSP) are of great clinical and genetic heterogeneity. According to the clinical features, HSP can be divided into pure or complicated subtypes which combined with other neurological symptoms including cerebellar ataxia. Up to date, 78 loci or genes have been implicated in HSP. CAPN1 was a novel gene detected recently for spastic paraplegia 76 (SPG76). Methods Patients referred to our clinic with spastic or spastic-ataxic gait were collected. Genetic testing of the probands were performed by target sequencing of a panel containing over 4000 known virulence genes. And the candidate mutations were further confirmed by polymerase chain reaction (PCR) and Sanger sequencing. The clinical materials of these patients were demonstrated retrospectively. Results Two Chinese patients, both from consanguineous families, each carried a novel homozygous mutation of CAPN1, p.R48X and p.R339X. The male proband presented pure HSP subtype while the female proband presented complicated HSP symptoms with cerebellar ataxia. We then reviewed all the literatures of HSP patients carrying CAPN1 mutations and summarized the molecular spectrum and clinical characteristics of CAPN1-related SPG76. Conclusion These two SPG76 patients carrying CAPN1 mutations were the first reported in China. By reviewing the clinical manifestations of SPG76 patients, we validated the “spastic-ataxia” phenotype and emphasized the association between spasticity and ataxia, indicating the importance of CAPN1 screening in HSP patients.

Background Diffusion kurtosis imaging (DKI) has the potential to provide microstructural insights into myelin and axonal pathology with additional kurtosis parameters. To our knowledge, few studies are available in the current literature using DKI by tract-based spatial statistics (TBSS) analysis in patients with multiple sclerosis (MS). The aim of this study is to assess the performance of commonly used parameters derived from DKI and diffusion tensor imaging (DTI) in detecting microstructural changes and associated pathology in relapsing remitting MS (RRMS). Methods Thirty-six patients with RRMS and 49 age and sex matched healthy controls underwent DKI. The brain tissue integrity was assessed by fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (Da), radial diffusivity (Dr), mean kurtosis (MK), axial kurtosis (Ka) and radial kurtosis (Kr) of DKI and FA, MD, Da and Dr of DTI. Group differences in these parameters were compared using TBSS (P Kr (76.7%) > Ka (53.5%) and Dr (78.8%) > MD (76.7%) > FA (74.1%) > Da (28.3%) for DKI, and Dr (79.8%) > MD (79.5%) > FA (68.6%) > Da (40.1%) for DTI. DKI-derived diffusion parameters (FA, MD, and Dr) were sensitive for detecting abnormality in WM regions with coherent fiber arrangement; however, the kurtosis parameters (MK and Kr) were sensitive to discern abnormalities in WM regions with complex fiber arrangement. Conclusions The diffusion and kurtosis parameters could provide complementary information for revealing brain microstructural damage in RRMS. Dr and DKI_Kr may be regarded as useful surrogate markers for reflecting pathological changes in RRMS.