Non-invasive electrical brain stimulation:from acute to late-stage treatment of central nervous system damage

Non-invasive brain current stimulation（NIBS） is a promising and versatile tool for inducing neuroplasticity,protection and functional rehabilitation of damaged neuronal systems.It is technically simple,requires no surgery,and has significant beneficial effects.However,there are various technical approaches for NIBS which influence neuronal networks in significantly different ways.Transcranial direct current stimulation（t DCS）,alternating current stimulation（ACS） and repetitive transcranial magnetic stimulation（r TMS） all have been applied to modulate brain activity in animal experiments under normal and pathological conditions.Also clinical trials have shown that t DCS,r TMS and ACS induce significant behavioural effects and can – depending on the parameters chosen – enhance or decrease brain excitability and influence performance and learning as well as rehabilitation and protective mechanisms.The diverse phaenomena and partially opposing effects of NIBS are not yet fully understood and mechanisms of action need to be explored further in order to select appropriate parameters for a given task,such as current type and strength,timing,distribution of current densities and electrode position.In this review,we will discuss the various parameters which need to be considered when designing a NIBS protocol and will put them into context with the envisaged applications in experimental neurobiology and medicine such as vision restoration,motor rehabilitation and cognitive enhancement.

Nankai Trough Velocity Structure Reconstruction using FWI of Wide-angle OBS Data with Graph-space Optimal Transport Misfit Function

Technical development oriented on the detailed seismic imaging and velocity model building coupled with rapid increase of the computing power available nowadays make it possible to process large volumes of seismic data using numerically intensive approaches based the wavefield propagation.

Brain functional connectivity network studies of acupuncture： a systematic review on resting-state fMRI

Background： Functional magnetic resonance imaging （fMRI） is a novel method for studying the changes of brain networks due to acupuncture treatment. In recent years, more and more studies have focused on the brain functional connectivity network of acupuncture stimulation. Objective： To offer an overview of the different influences of acupuncture on the brain functional connec- tivity network from studies using resting-state fMRI. Search strategy： The authors performed a systematic search according to PRISMA guidelines, The database PubMed was searched from January 1, 2006 to December 31, 2016 with restriction to human studies in English language. Inclusion criteria： Electronic searches were conducted in PubMed using the keywords ＂acupuncture＂ and ＂neuroimaging＂ or ＂resting-state fMRI＂ or ＂functional connectivity＂, Data extraction and analysis： Selection of included articles, data extraction and methodological quality assessments were respectively conducted by two review authors. Results： Forty-four resting-state fMRI studies were included in this systematic review according to inclu- sion criteria. Thirteen studies applied manual acupuncture vs. sham, four studies applied electro- acupuncture vs. sham, two studies also compared transcutaneous electrical acupoint stimulation vs. sham, and nine applied sham acupoint as control. Nineteen studies with a total number of 574 healthy subjects selected to perform fMRI only considered healthy adult volunteers. The brain functional connec- tivity of the patients had varying degrees of change. Compared with sham acupuncture, verum acupunc- ture could increase default mode network and sensorimotor network connectivity with pain-, affective- and memory-related brain areas. It has significantly greater connectivity of genuine acupuncture between the periaqueductal gray, anterior cingulate cortex, left posterior cingulate cortex, right anterior insula, limbic/paralimbic and precuneus compared with sham acupuncture. Some research had also shown that acupuncture could adjust the limbic-paralimbic-neocortical network, brainstem, cerebellum, subcortical and hippocampus brain areas. Conclusion： It can be presumed that the functional connectivity network is closely related to the mech- anism of acupuncture, and central integration plays a critical role in the acupuncture mechanism.