Objective To evaluate the efficacy and safety of FTY720 (fligolimod) in different dosages in the treatment of Relapsing-Remitting Multiple Sclerosis (RRMS), so as to provide references for clinical practice. Methods Such databases as MEDLINE, EMbase, The Cochrane Liabrary, CBM and CNKI were searched for collecting randomized controlled trials (RCTs) of FTY720 in the treatment of RRMS, which were published from January 1, 2001 to December 31, 2010. The studies were retrieved and the data were extracted according to the predefined inclusion and exclusion criteria, the quality of included studies was evaluated with improved Jadad scale, and the Meta-analyses were performed with RevMan5.1 software. Results Three high quality RCTs were included. The Meta-analyses showed that: a) compared with the control group, orally taking FTY720 could obviously decreased the annualized relapse rate (OR=-6.67, 95%CI -10.75 to -2.60, P=0.001), the confirmed disability progression rate (OR=0.64, 95%CI 0.47 to 0.87, P=0.004), and the incidence rate of intensified lesion on T2-weighted magnetic resonance imaging scans (OR=0.28, 95%CI 0.21 to 0.37, Plt;0.00001); b) There was no significant difference (P=0.55) between the small dosage (0.5mg/d) group and the big dosage (1.25mg/d) group of FTY720; and c) The incidence of adverse events was significantly different among the 3 dosage groups (5mg/d, 1.25mg/d and 0.5mg/d), and the minimum dosage group (0.5mg/d) was safer than the other groups. Conclusion FTY720 is safe to treat RRMS, and it can obviously decrease the annualized relapse rate, confirmed disability progression rate and incidence rate of intense lesion on T2-weighted magnetic resonance imaging scans. There is no dosage-effect relationship found in treating RRMS with FTY720 in different dosages, but the 0.5mg/d FTY720 as the minimum dosage is the safest.
Speech expression is an important high-level cognitive behavior of human beings. The realization of this behavior is closely related to human brain activity. Both true speech expression and speech imagination can activate part of the same brain area. Therefore, speech imagery becomes a new paradigm of brain-computer interaction. Brain-computer interface (BCI) based on speech imagery has the advantages of spontaneous generation, no training, and friendliness to subjects, so it has attracted the attention of many scholars. However, this interactive technology is not mature in the design of experimental paradigms and the choice of imagination materials, and there are many issues that need to be discussed urgently. Therefore, in response to these problems, this article first expounds the neural mechanism of speech imagery. Then, by reviewing the previous BCI research of speech imagery, the mainstream methods and core technologies of experimental paradigm, imagination materials, data processing and so on are systematically analyzed. Finally, the key problems and main challenges that restrict the development of this type of BCI are discussed. And the future development and application perspective of the speech imaginary BCI system are prospected.