Efficacy of High-Frequency Repetitive Transcranial Magnetic Stimulation at 10 Hz in Fibromyalgia: A Systematic Review and Meta-analysis.

OBJECTIVE: The purpose of this review was to systematically assess the effectiveness of 10-Hz repetitive transcranial magnetic stimulation (rTMS) in fibromyalgia. DATA SOURCES: We searched PubMed, Cochrane Library, Embase, Web of Science, and Ovid databases as of November 6, 2021. STUDY SELECTION: The inclusion criteria for this review were randomized controlled trials of 10-Hz rTMS for fibromyalgia, exploring the effects of 10-Hz rTMS on pain, depression, and quality of life in patients with fibromyalgia. DATA EXTRACTION: Data extraction was performed independently by 2 evaluators according to predefined criteria, and the quality of the included literature was assessed using the Cochrane Bias Risk Assessment Tool. The measurement outcomes include visual analog scale, Hamilton Depression Rating Scale, and Fibromyalgia Impact Questionnaire, and so on. DATA SYNTHESIS: A total of 488 articles were screened, and the final 7 selected high-quality articles with 217 patients met our inclusion criteria. Analysis of the results showed that high-frequency transcranial magnetic stimulation at 10 Hz was significantly associated with reduced pain compared with sham stimulation in controls (standardized mean difference [SMD]=-0.72; 95% confidence interval [CI], -1.12 to -0.33; P<.001; I2=46%) and was able to improve quality of life (SMD=-0.70; 95% CI, -1.00 to -0.40; P<.001; I2=15%) but not improve depression (SMD=-0.23; 95% CI, -0.50 to 0.05; P=.11; I2=33%). In addition, a subgroup analysis of pain conducted based on stimulation at the primary motor cortex and dorsolateral prefrontal cortex showed no significant difference (SMD=-0.72; 95% CI, -1.12 to -0.33; P=.10; I2=62%). CONCLUSIONS: Overall, 10-Hz rTMS has a significant effect on analgesia and improved quality of life in patients with FMS but did not improve depression.

Zeolitic imidazolate framework-8: a versatile nanoplatform for tissue regeneration.

Extensive research on zeolitic imidazolate framework (ZIF-8) and its derivatives has highlighted their unique properties in nanomedicine. ZIF-8 exhibits advantages such as pH-responsive dissolution, easy surface functionalization, and efficient drug loading, making it an ideal nanosystem for intelligent drug delivery and phototherapy. These characteristics have sparked significant interest in its potential applications in tissue regeneration, particularly in bone, skin, and nerve regeneration. This review provides a comprehensive assessment of ZIF-8's feasibility in tissue engineering, encompassing material synthesis, performance testing, and the development of multifunctional nanosystems. Furthermore, the latest advancements in the field, as well as potential limitations and future prospects, are discussed. Overall, this review emphasizes the latest developments in ZIF-8 in tissue engineering and highlights the potential of its multifunctional nanoplatforms for effective complex tissue repair.

Compensatory movement detection by using near-infrared spectroscopy technology based on signal improvement method.

Introduction: Compensatory movements usually occur in stroke survivors with hemiplegia, which is detrimental to recovery. This paper proposes a compensatory movement detection method based on near-infrared spectroscopy (NIRS) technology and verifies its feasibility using a machine learning algorithm. We present a differential-based signal improvement (DBSI) method to enhance NIRS signal quality and discuss its effect on improving detection performance. Method: Ten healthy subjects and six stroke survivors performed three common rehabilitation training tasks while the activation of six trunk muscles was recorded using NIRS sensors. After data preprocessing, DBSI was applied to the NIRS signals, and two time-domain features (mean and variance) were extracted. An SVM algorithm was used to test the effect of the NIRS signal on compensatory behavior detection. Results: Classification results show that NIRS signals have good performance in compensatory detection, with accuracy rates of 97.76% in healthy subjects and 97.95% in stroke survivors. After using the DBSI method, the accuracy improved to 98.52% and 99.47%, respectively. Discussion: Compared with other compensatory motion detection methods, our proposed method based on NIRS technology has better classification performance. The study highlights the potential of NIRS technology for improving stroke rehabilitation and warrants further investigation.

Effect of Sitting Ba-Duan-Jin Exercises on Balance and Quality of Life Among Older Adults: A Preliminary Study.

PURPOSE: The aim of this study was to ascertain whether ba-duan-jin (BDJ) can improve balance and enhance the quality of life among older adults. DESIGN: This pilot study was designed as a single group pre-post comparison test. METHODS: Sixteen older adults were qualified and recruited for this study at local retirement communities. Assessments for pre- and postintervention among the subjects included Single-Leg Stance, Chair Rising Test, Tinetti Balance Test, Modified Falls Efficacy Scale, and 12-Item Short Form Health Survey Questionnaire for quality of life. FINDINGS: After 12 weeks of BDJ training, significant improvements were identified in Single-Leg Stance, Tinetti Balance Test, Modified Falls Efficacy Scale, and 12-Item Short Form Health Survey (all p < .01); however not for the Chair Rising Test (p > .05). CONCLUSION: The results indicate that BDJ can improve balance, lower extremity strength, quality of life, and decrease fear of falling among older adults. CLINICAL RELEVANCE: BDJ is an effective rehabilitation training method and can improve balance and motor function among older people. Rehabilitation nursing plays a key role in functional rehabilitation of older people.