Post-traumatic stress disorder (PTSD) is a mental disorder causing great distress to individuals, families and even society, and there is not yet effective way of unified prevention and treatment up till now. Lots of neuroimaging techniques, however, such as the magnetic resonance imaging, are widely used to the study of the pathogenesis of PTSD with the development of medical imaging. Functional magnetic resonance imaging (fMRI) can be applied to detect the abnormalities not only of the brain morphology but also of the function of various cerebral areas and neural circuit, and plays an important role in studying the pathogenesis of psychiatric diseases. In this paper, we mainly review the task-related and resting-state functional magnetic resonance imaging studies of the PTSD, and finally suggest possible directions for future research.
Brain-computer interface (BCI) based on functional near-infrared spectroscopy (fNIRS) is a new-type human-computer interaction technique. To explore the separability of fNIRS signals in different motor imageries on the single limb, the study measured the fNIRS signals of 15 subjects (amateur football fans) during three different motor imageries of the right foot (passing, stopping and shooting). And the correlation coefficient of the HbO signal during different motor imageries was extracted as features for the input of a three-classification model based on support vector machines. The results found that the classification accuracy of the three motor imageries of the right foot was 78.89%±6.161%. The classification accuracy of the two-classification of motor imageries of the right foot, that is, passing and stopping, passing and shooting, and stopping and shooting was 85.17%±4.768%, 82.33%±6.011%, and 89.33%±6.713%, respectively. The results demonstrate that the fNIRS of different motor imageries of the single limb is separable, which is expected to add new control commands to fNIRS-BCI and also provide a new option for rehabilitation training and control peripherals for unilateral stroke patients. Besides, the study also confirms that the correlation coefficient can be used as an effective feature to classify different motor imageries.
ObjectiveTo summarize the early postoperative pain management strategies for anterior cruciate ligament reconstruction (ACLR), and to select a reasonable and effective pain management plan to promote functional rehabilitation after ACLR. MethodsThe literature about the early postoperative pain management strategies of ACLR both domestically and internationally in recent years was extensiverly reviewed, and the effects of improving postoperative pain were reviewed. ResultsCurrently, physical therapy and oral medication have advantages such as economy and simplicity, but the effect of improving postoperative pain is not satisfactory, often requires a combination of intravenous injection or intravenous pump, which is also a common way to relieve pain. However, in order to meet the analgesic needs of patients, the amount of analgesic drugs used is often large, which increases the incidence of various adverse reactions. Local infiltration analgesia (LIA), including periarticular or intra-articular injection of drugs, can significantly improve the early postoperative pain of ACLR, and achieve similar postoperative effectiveness as nerve block. LIA can be used as an analgesic technique instead of nerve block, and avoid the corresponding weakness of innervated muscles caused by nerve block, which increases the risk of postoperative falls. Many studies have confirmed that LIA can alleviate postoperative early pain in ACLR, especially the analgesic effects of periarticular injection are more satisfactory. It can also avoid the risk of cartilage damage caused by intra-articular injection. However, the postoperative analgesic effect and timeliness still need to be improved. It is possible to consider combining multimodal mixed drug LIA (combined with intra-articular and periarticular) with other pain intervention methods to exert a synergistic effect, in order to avoid the side effects and risks brought by single drugs or single administration route. LIA is expected to become one of the most common methods for relieving postoperative early pain in ACLR. ConclusionEarly pain after arthroscopic ACLR still affects the further functional activities of patients, and all kinds of analgesic methods can achieve certain effectiveness, but there is no unified standard at present, and the advantages and disadvantages of various analgesic methods need further research.
With the rapid development of day surgery mode in China, day surgery management has shifted from extensive to refined, but there are still many problems in the information system of day surgery in Chinese hospitals. The Second Affiliated Hospital Zhejiang University School of Medicine has developed a day surgery information management system since 2018, established a pre-hospital and in-hospital day surgery ecological management, and integrated daily management concepts and management rules into the system through the whole-process information management. It realized the whole process, full data, closed-loop and path-based information management of day surgery. This paper introduces the day surgery information management system of the Second Affiliated Hospital Zhejiang University School of Medicine, and aims to share the experience of building the day surgery information management function module.
White matter lesion (WML) of presumed vascular origin is one of the common imaging manifestations of cerebral small vessel diseases, which is the main reason of cognitive impairment and even vascular dementia in the elderly. However, there is a lack of early and effective diagnostic methods currently. In recent years, studies of diffusion tensor imaging (DTI) and resting-state functional magnetic resonance imaging (rs-fMRI) have shown that cognitive impairment in patients with WMLs is associated with disrupted white matter microstructural and brain network connectivity. Therefore, it’s speculated that DTI and rs-fMRI can be effective in early imaging diagnosis of WMLs-related cognitive impairment. This article reviews the role and significance of DTI and rs-fMRI in WMLs-related cognitive impairment.
Deep brain stimulation (DBS), as a major branch of functional neurosurgery, has been widely used in the treatment of diseases such as Parkinson disease, primary tremor, and muscle tone disorder. It can effectively alleviate patients’ symptoms, reduce drug dependence, and minimize adverse drug reactions. In recent years, with the rapid development of artificial intelligence (AI) in the medical field, it has gradually penetrated into multiple aspects of DBS. This article reviews the current application status of AI technology in DBS therapy and explores its future development prospects, providing new solutions for significant improvement in patients’ quality of life.
For refractory epilepsy requiring surgical treatment in clinic, precise preoperative positioning of the epileptogenic zone is the key to improving the success rate of clinical surgical treatment. Although the use of electrical stimulation to locate epileptogenic zone has been widely carried out in many medical centers, the preoperative implantation evaluation of stereoelectroencephalography (SEEG) and the interpretation of electrical stimulation induced EEG activity are still not perfect and rigorous. Especially, there are still technological limitations and unknown areas regarding electrode implantation mode, stimulation parameters design, and surgical prognosis correlation. In this paper, the clinical background, application status, technical progress and development trend of SEEG-based stereo-electric stimulation-induced cerebral electrical activity in the evaluation of refractory epilepsy are reviewed, and applications of this technology in clinical epileptogenic zone localization and cerebral cortical function evaluation are emphatically discussed. Additionally, the safety during both of high-frequency and low-frequency electrical stimulations which are commonly used in clinical evaluation of refractory epilepsy are also discussed.
The experimental models of chronic hepatic lesion of 40 rabbits were made by intra-abdominal injection of thioacetamide.The chronic hepatic lesion was confirmed by pathological examination and hepatectomies were performed in accordance with different measurements on each rabbit.The observations included indocyanine green retention rate,hepatic resection volume,and the outcomes of operations.The results showed that the mortality was correlative with the change of hepatic functions in the background of chronic hepatic lesion.The indocyanine green retention and the level of serum albumin are important parameters to indicate hepatic impairment.When the former was over 40% or the latter below 2.8g% the operative danger was high and the mortality was over 50%.In accordance with the classification of hepatic function,the preoperative functional state of liver were classified:grade A,B and C.the mortality of posthepatectomy were respectively 16.7%,3O%,and 72%.The multiple progressive regression equation is employed for calculating the postoperative outcome.The equation predicted the postoperative outcome with 88.9% accuracy.
Objective To evaluate the value of medical imaging technology in qualitative and quantitative diagnosis of liver steatosis. Methods To describe the current status and advancement s of medical imaging technology such as sonography , CT and MRI in qualitative and quantitative diagnosis of liver steatosis , and to cont rast their advantages and shortages. Results Sonography could be used as the primary screening and evaluate measures in qualitative and quantitative diagnosis of liver steatosis , and CT was more reliable in quantitative diagnosis , MRI had significant improving with its high sensitivity and specificity. Conclusion Medical imaging technology has significant clinical value in qualitative and quantitative diagnosis of liver steatosis , especially with the help of functional MR imaging techniques such as spect roscopy and chemical shif t Gradient-Echo technic.
Brain functional network changes over time along with the process of brain development, disease, and aging. However, most of the available measurements for evaluation of the difference (or similarity) between the individual brain functional networks are for charactering static networks, which do not work with the dynamic characteristics of the brain networks that typically involve a long-span and large-scale evolution over the time. The current study proposes an index for measuring the similarity of dynamic brain networks, named as dynamic network similarity (DNS). It measures the similarity by combining the “evolutional” and “structural” properties of the dynamic network. Four sets of simulated dynamic networks with different evolutional and structural properties (varying amplitude of changes, trend of changes, distribution of connectivity strength, range of connectivity strength) were generated to validate the performance of DNS. In addition, real world imaging datasets, acquired from 13 stroke patients who were treated by transcranial direct current stimulation (tDCS), were used to further validate the proposed method and compared with the traditional similarity measurements that were developed for static network similarity. The results showed that DNS was significantly correlated with the varying amplitude of changes, trend of changes, distribution of connectivity strength and range of connectivity strength of the dynamic networks. DNS was able to appropriately measure the significant similarity of the dynamics of network changes over the time for the patients before and after the tDCS treatments. However, the traditional methods failed, which showed significantly differences between the data before and after the tDCS treatments. The experiment results demonstrate that DNS may robustly measure the similarity of evolutional and structural properties of dynamic networks. The new method appears to be superior to the traditional methods in that the new one is capable of assessing the temporal similarity of dynamic functional imaging data.