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Disturbance of neurovascular coupling (NVC) is suggested to be one potential mechanism in type 2 diabetes mellitus (T2DM) associated mild cognitive impairment (MCI). However, NVC evidence derived from functional magnetic resonance imaging ignores the relationship of neuronal activity with vascular injury. Twenty-seven T2DM patients without MCI and thirty healthy controls were prospectively enrolled. Brain regions with changed susceptibility detected by quantitative susceptibility mapping (QSM) were used as seeds for functional connectivity (FC) analysis. NVC coefficients were estimated using combined degree centrality (DC) with susceptibility or cerebral blood flow (CBF). Partial correlations between neuroimaging indicators and cognitive decline were investigated. In T2DM group, higher susceptibility values in right hippocampal gyrus (R.PHG) were found and were negatively correlated with Naming Ability of Montreal Cognitive Assessment. FC increased remarkably between R.PHG and right middle temporal gyrus (R.MTG), right calcarine gyrus (R.CAL). Both NVC coefficients (DC-QSM and DC-CBF) reduced in R.PHG and increased in R.MTG and R.CAL. Both NVC coefficients in R.PHG and R.MTG increased with the improvement of cognitive ability, especially for executive function. These demonstrated that QSM and DC-QSM coefficients can be promising biomarkers for early evaluation of cognitive decline in T2DM patients and help to better understand the mechanism of NVC.

Visual network (VN) related alterations is suggested to be one potential mechanism in type 2 diabetes mellitus (T2DM) associated mild cognitive impairment (MCI) and functional-structural coupling is a useful method to explore cerebral subtle changes. However, it is still unclear about the relationship between functional-structural decoupling in VN evidences derived from functional magnetic resonance imaging and cognitive impairment in T2DM. Thirty T2DM patients without MCI and twenty-nine healthy controls were prospectively enrolled. Visual components (VC) were estimated by independent component analysis (ICA). Degree centrality (DC), amplitude of low frequency fluctuation (ALFF) and fractional anisotropy (FA) were constructed to reflect functional and structural characteristics in these VCs respectively. Functional-structural coupling coefficients were further evaluated using combined FA and DC or ALFF. Partial correlations were performed between neuroimaging indicators and neuropsychological scores and clinical variables. Three VCs were selected using group ICA. Deteriorated DC, ALFF and DC-FA coefficients in VC1 were observed in T2DM group compared with control subjects, while FA and ALFF-FA coefficients in three VCs were no significant differences between two groups. In T2DM group, DC in VC1 positively correlated with 2 subitems of the California Verbal Learning Test, including Trial 4 and Total trial 1–5. The impaired DC-FA coefficients in VC1 markedly affected the Total perseverative responses % of the Wisconsin Card Sorting Test. These findings indicate that DC and DC-FA coefficients in VN may be potential imaging biomarkers for revealing early cognitive deficits of different dimensions in T2DM.

The high-voltage spindles (HVSs), one of the characteristic oscillations that include theta frequencies in the basal ganglia (BG)-cortical system, are involved in immobile behavior and show increasing power in Parkinson's disease (PD). Our previous results suggested that the D2 dopamine receptor might be involved in HVSs modulations in a rat model of PD. Membrane resonance is one of the cellular mechanisms of network oscillation; therefore, we investigated how dopamine modulates the theta frequency membrane resonance of neurons in the subthalamic nucleus (STN), a central pacemaker of BG, and whether such changes in STN neurons subsequently alter HVSs in the BG-cortical system. In particular, we tested whether dopamine modulates HVSs through hyperpolarization-activated cyclic nucleotide-gated (HCN) channels-dependent membrane resonance in STN neurons. We found that an antagonist of D2 receptors, but not of D1 receptors, inhibited membrane resonance and HCN currents of STN neurons through a G-protein activity in acute brain slices. Our further in vivo experiments using local injection of a D2 receptor antagonist or an HCN blocker in STNs of free-moving rats showed an increase in HVSs power and correlation in the BG-cortical system. Local injection of lamotrigine, an HCN agonist, counteracted the effect induced by the D2 antagonist. Taken together, our results revealed a potential cellular mechanism underlying HVSs activity modulation in the BG-cortical system, i.e. tuning HCN activities in STN neurons through dopamine D2 receptors. Our findings might lead to a new direction in PD treatment by providing promising new drug targets for HVSs activity modulation.

Epilepsy is a commonly occurring neurological disease that has a large impact on the patient's daily life. Phosphorylation of heat shock protein B6 (HspB6) has been reported to protect the central nervous system. In this investigation, we explored whether HspB6 played a positive effect on epilepsy with the involvement of the cyclic adenosine monophosphate-protein kinase A (cAMP-PKA) pathway. The epileptic seizure was induced in rats by intraperitoneal injection of kainic acid (KA). The extent of HspB6 phosphorylation and expressions of HspB6, PKA, and inflammatory factors TNF-α, IL-1β, and IL-6 were quantified along with neuronal apoptosis. To further understand the regulatory mechanism of the HspB6 in the hippocampus, we altered the expression and the extent of HspB6 phosphorylation to see whether the cAMP-PKA pathway was inactivated or not in hippocampal neurons of rats post KA. Results showed that HspB6 was poorly expressed, resulting in the inactivation of the cAMP-PKA pathway in rats post KA, as well as an aggravated inflammatory response and hippocampal neuronal apoptosis. HspB6 overexpression and the cAMP-PKA pathway activation decreased the expression of inflammatory factors and inhibited hippocampal neuronal apoptosis. Additionally, HspB6 phosphorylation further augments the inhibitory effects of HspB6 on the inflammatory response and hippocampal neuronal apoptosis. The cAMP-PKA pathway activation was found to result in increased HspB6 phosphorylation. HspB6 decreased apoptosis signal-regulating kinase 1 (ASK1) expression to inhibit inflammatory response and hippocampal neuronal apoptosis. Collectively, our findings demonstrate that activation of the cAMP-PKA pathway induces overexpression and partial phosphorylation of HspB6 lead to the inhibition of ASK1 expression. This in turn protects rats against epilepsy and provides a potential approach to prevent the onset of epileptic seizure in a clinical setting.

Many studies showed that abnormal oscillations in the cortical-basal ganglia loop is involved in the pathophysiology of Parkinson’s disease (PD). In contrast to the well-studied beta synchronization, high-voltage spindles (HVSs), another type of abnormal oscillation observed in PD, are neglected. To explore the role of subthalamic nucleus-deep brain stimulation (STN-DBS) in HVSs regulation, we simultaneously recorded the local field potential (LFP) in the globus pallidus (GP) and electrocorticogram (ECoG) in the primary motor cortex(M1) in freely moving 6-hydroxydopamine (6-OHDA) lesioned or control rats before, during, and after STN-DBS. Consistent with our previous study, HVSs occurrence, duration, and relative power and coherence between the M1 cortex and GP increased in 6-OHDA lesioned rats. We found that high but not low frequency stimulation restored the abnormal HVSs activity and motor deficit. These results suggest that the STN is involved in the abnormal oscillation between the M1 cortex and GP.

To improve the speed sensorless speed control system’s performance, this paper analyzes the rotor flux and speed estimation principle based on MRAS. On this basis, a new online identification method of induction motor stator resistance based on fuzzy logic is proposed. This method takes rotor flux and stator current vector as input and the stator resistance changes as the output. In the simulation environment, we compare the speed waveforms after the increase of stator resistance identification and conduct simulation to the identification effect when doubling the original value of stator resistance suddenly. The experiments show that the method has simple structure, high reliability, low computational complexity and obvious ability to identify the stator resistance changes, and besides, it can significantly improve the speed control system performance.

Data fusion technique can produce fused images with high spatial resolution and abundant spectral information. A new image fusion algorithm based on two-dimension PCA and Curvelet transform will be proposed according to image process models specialities in this paper. First of all, we performed 2DPCA on the MS image to get the 1st principle component (PC1); then we applied Curvelet transform in Pan Image and PC1; lastly decomposition coefficients obtained was processed according to certain rules to get fused coefficients, and afterwards, we performed inverse Curvelet transform on them to acquire fused sub-images. Then we performed inverse 2DPCA transform on the other components and the fused sub-images to get fused images. Experiments will be carried out via application of multispectral and panchromatic images, and it turns out that this new algorithm can improve spatial resolution greatly while maintaining spectral information.

The oscillatory activity in the basal ganglia is believed to have an important function, but little is known about its actual mechanisms. We studied the resonance characteristics of subthalamic nucleus (STN) neurons and their ionic mechanisms using whole-cell patch-clamp recordings in rat brain slices. A swept-sine-wave current with constant amplitude and linearly increasing frequency was applied to measure the resonance frequency ( f res ) of STN neurons. We also used single-frequency sine wave current to evoke firing. We found that the resonance of STN neurons was temperature- and voltage-dependent. The f res of STN neurons was about 4 Hz when the temperature was maintained at 38 °C and holding potential was at −70 mV. The f res increased with more negative holding potentials and decreased with lower temperature. Action potentials fired most readily when the input frequency was near f res . After application of drug ZD7288 (20 μM), the resonance of STN neurons was blocked and the spikes evoked by both impedance amplitude profile (ZAP) current and single-frequency sine wave current arose readily at the lowest frequencies, indicating that hyperpolarization-activated cation current ( I h ) generated the resonance and mediated a preferential coupling at frequencies near f res between inputs and firing. In conclusion, there is a θ -frequency resonance mediated by I h in STN neurons. The resonance characteristics are temperature- and voltage-dependent. The resonance mediates a frequency-selective coupling between inputs and firing.

Noise can play a constructive role in the detection of weak signals in various kinds of peripheral receptors and neurons. What the mechanism underlying the effect of noise is remains unclear. Here, the perforated patch-clamp technique was used on isolated cells from chronic compression of the dorsal root ganglion (DRG) model. Our data provided new insight indicating that, under conditions without external signals, noise can enhance subthreshold oscillations, which was observed in a certain type of neurons with high-frequency (20-100 Hz) intrinsic resonance from injured DRG neurons. The occurrence of subthreshold oscillation considerably decreased the threshold potential for generating repetitive firing. The above effects of noise can be abolished by blocking the persistent sodium current (I(Na, P)). Utilizing a mathematical neuron model we further simulated the effect of noise on subthreshold oscillation and firing, and also found that noise can enhance the electrical activity through autonomous stochastic resonance. Accordingly, we propose a new concept of the effects of noise on neural intrinsic activity, which suggests that noise may be an important factor for modulating the excitability of neurons and generation of chronic pain signals.

The dorsal striatum plays a key role in motor control and cognitive processes. Proper functioning of the striatum relies on the fine dynamic balance between the direct pathway projection medium spiny neurons (MSNs) that express D1 dopamine receptor (D1 MSNs) and indirect pathway projection MSNs that express D2 dopamine receptor (D2 MSNs). The inwardly rectifying K(+) channels (Kir), which express on both D1 and D2 MSNs, participate in the subthreshold dynamics including the membrane resonance and dendritic integration. However, it remains unclear whether dopamine differentially regulates Kir mediated subthreshold dynamics in two subtypes MSNs. Using transgenic mice that express either tdTomato in D1 MSNs or eGFP in D2 MSNs, we explored the Kir mediated subthreshold dynamics in D1 or D2 MSNs with whole cell patch clamp recording in acute brain slices. We found that D1 receptor agonist increased the Kir current while D2 receptor activation decreased the Kir conductance. The dopamine regulation of the Kir enhanced the resonant frequency and reduced the resonant impedance of D1 MSNs. The converse is ture for D2 MSNs. It also caused an opposing effect on dendritic integration between D1 and D2 MSNs, which can promote stability of the two pathways. The D1 receptor activation modulated Kir through cAMP-PKA signaling, whereas the D2 receptor modulated Kir through PLC-PKC signaling. Our findings demonstrated the differential dopaminergic regulation role of Kir, which mediates distinct subthreshold dynamics, and thus, contributes to the role of dopamine in fine tuning the balance of the striatal direct and indirect pathway activities.

We compared the responsiveness of a neural firing pacemaker in different dynamic states during the process of period-adding bifurcation to excitatory and inhibitory electrical field stimulus. In the region far from the bifurcation point, with the increase of the intensity of excitatory stimulus, the firing rate increased in an approximately linear manner and no firing pattern transition was observed. While in the region near the bifurcation point, the firing rate increased markedly higher accompanied with the transition of firing pattern when the intensity of excitatory stimulus remained the same. The stimulus-response of the region near the bifurcation point shifted upward significantly compared to that of the region far from the bifurcation point. Inhibitory stimulus with the same intensity, however, decreased the firing rate slightly without the transition of firing pattern in the region near the bifurcation point. These results suggest that the responsiveness in the region near the bifurcation point is more sensitive than that in the region far from the bifurcation point, which we named "critical sensitivity", and this has directional selectivity.

Abnormal oscillation in the cortical-basal ganglia loop is involved in the pathophysiology of parkinsonism. High-voltage spindles (HVSs), one of the main type abnormal oscillations in Parkinson's disease, are regulated by dopamine D2-like receptors but not D1-like receptors. However, little is known about how dopamine D2-like receptors regulate HVSs and the role of hyperpolarization-activated cyclic nucleotide-gated2 (HCN2) in HVSs regulation. We simultaneously recorded the local field potential (LFP) in globus pallidus (GP) and electrocorticogram (ECoG) in primary motor cortex (M1) in freely moving 6-hydroxydopamine (6-OHDA) lesioned or control rats. The expression of HCN2 and dopamine D2 receptor in the subthalamic nucleus (STN) was examined by immunochemical staining and Western blotting. We also tested the role of HCN2 in HVSs regulation by using pharmacological and shRNA methodology. We found that dopamine D2-like receptor agonists suppressed the increased HVSs in 6-OHDA lesioned rats. HCN2 was co-expressed with dopamine D2 receptor in the STN, and dopamine depletion decreased the expression of HCN2 as well as dopamine D2 receptor which contribute to the regulation of HVSs. HCN2 was down regulated by HCN2 shRNA, which thereby led to an increase in the HVSs in naive rats while HCN2 agonist reduced the HVSs in 6-OHDA lesioned rats. These results suggest that HCN2 in the STN is involved in abnormal oscillation regulation between M1 cortex and GP.

Studies on patients with Parkinson's disease and in animal models have observed enhanced synchronization of oscillations in several frequency bands within and between the cortical-basal ganglia (BG) structures. Recent research has also shown that synchronization of high-voltage spindles (HVSs) in the cortex, striatum and substantia nigra pars reticulate is increased by dopamine depletion. However, more evidence is needed to determine whether HVS activity in the whole cortex-BG network represents homologous alteration following dopamine depletion. As the globus pallidus (GP) is in a central position to propagate and synchronize oscillations in the cortical-BG circuits, we employed local-field potentials and electrocorticogram to simultaneously record oscillations in the GP and primary (M1) and secondary (M2) motor cortices on freely moving 6-hydroxydopamine (6-OHDA) lesioned and control rats. Results showed that HVS episodes recorded from GP, and M2 and M1 cortex areas were more numerous and longer in 6-OHDA lesioned rats compared to controls. Relative power associated with HVS activity in the GP, and M2 and M1 cortices of 6-OHDA lesioned rats was significantly greater than that for control rats. Coherence values for HVS activity between the GP, and M2 and M1 cortex areas were significantly increased by dopamine depletion. Time lag between the M1 cortex HVS and GP HVS was significantly shorter for dopamine depleted than normal rats. Findings indicate a crucial rule for dopamine in the regulation of HVS activity in the whole cortical-BG circuit, and suggest a close relationship between abnormally synchronized HVS oscillations in the cortex-BG network and Parkinson's disease.

Oscillation activities are the feature of neural network and correlated to different physiological states. The theta (θ) oscillation (2-7 Hz) has been reported in the basal ganglia, and the intrinsic resonance properties of individual neurons have provided a basis for this network oscillation. The basal ganglia neurons receive comprehensive modulation arising from dopaminergic (DA) neurons located in the substantia nigra pars compacta (SNc), but how the oscillation is regulated in SNc DA neurons remains poorly understood. In this paper, whole-cell patch-clamp recordings were performed on SNc DA neurons in rat brain slices to reveal the resonance properties and underlying mechanisms. After swept-sine-wave (ZAP protocol) current was injected into SNc DA neurons, θ resonance was induced, whose peak impedance went up with the rising of temperature, demonstrating the dependency of resonance on temperature. Voltage dependency of resonance was also observed at hyperpolarized membrane potentials. Further investigation demonstrated two individual components: (1) SK-current generated resonance at around -65 mV, which could be blocked by apamin (300 nM), a specific antagonist of the small-conductance calcium-dependent potassium channel; (2) h-current (I (h)) generated resonance at around -75 mV, which could be abolished by ZD7288 (10 μM), a selective blocker of HCN channels. We concluded that in SNc DA neurons, θ resonance was mediated by two distinct ionic channels at hyperpolarized potentials. Our results imply that θ frequency resonance of individual SNc DA neurons may participate in coordinating rhythmic firing activity and contribute to the physiological or pathophysiological behaviors of Parkinson's disease.

To estimate the median survival and the effect of antiretroviral therapy (ART) among HIV-positive former blood donors of Fuyang in Anhui province, China.A retrospective survey was conducted among HIV-positive former blood donors, and data was collected on survivors who had received ART. Weibull function was used to calculate median survival of HIV-positive former blood donors. The effect of ART was estimated through comparing the actual number of deaths after ART with the expected number of deaths in those who did not receive ART.The median period of HIV infection was at the end of 1994, with the median survival of HIV-positive former blood donors in Fuyang as 10.8 years. By the end of September 2008, among 159 former blood donors, 74 received ART, with their mean CD(4)(+) T-cell count increased from 247.8/microl to 475.1/microl (P0.0001). 76 of the 159 former blood donors died. When comparing the expected number of deaths calculated by Weibull function, 31.7% of the total number of deaths was reduced.Result from this study was in consistent to the UNAIDS' figures that in the absence of treatment, the net median survival time after infection with HIV was estimated to be 11 years and ART has reduced about one third of the expected deaths.

Hopf bifurcation of the H-H neuron was computed by numerical methods and discharge of H-H neuron under slow wave stimulation was studied by simulation. It is shown that slow wave can result in neuron bursting, especially the long time-course bursting, and onset of the bursting is related with Hopf bifurcation. The results prompt that bursting and supernormal excitability of neurons can be induced by slow excitatory synaptic reaction when it is big enough. This phenomenon probably can be used to explain the seizure of some diseases (such as epilepsy).

The neuron population of the hippocampal forma- tion exhibits oscillatory activity within the theta () frequency band (4-10 Hz), and the intrinsic resonance properties of individual hippocampal neurons contribute to this network oscillation. The subiculum is the pivotal output region of the hippocampal formation and it is involved in many of the physiological and pathological functions of the limbic sys- tem. To study the characteristics and underlying mecha- nisms of resonance activity in subicular pyramidal neurons, we performed whole-cell patch-clamp recordings from these neurons in rat horizontal brain slices. We applied sinusoidal currents with constant amplitudes and linearly increasing frequencies to measure the resonance frequency of subicular pyramidal neurons. We found that the resonance frequency of subicular pyramidal neurons was about 2 Hz at room temperature and 4-6 Hz at 32-35 °C. The resonance fre- quency increased at hyperpolarized membrane potentials and decreased at depolarized membrane potentials. We also investigated three sub-threshold currents involved in the res- onance: a slow hyperpolarization-activated cation current; an instantaneously activating, inwardly rectifying potassium current; and an inwardly persistent sodium current. The ap- plication of ZD7288 abolished the resonance hump, indicat- ing that hyperpolarization-activated cation current generated resonance. The application of Ba 2 enlarged the resonance hump at hyperpolarized potentials below 80 mV, indicating that inwardly rectifying potassium current attenuated reso- nance. The application of TTX suppressed the resonance at depolarized potentials, indicating that persistent sodium cur- rent amplified resonance when neurons were depolarized. Thus, there is a -frequency resonance mediated by hyper- polarization-activated cation current in subicular pyramidal neurons. This -frequency resonance of individual subicular pyramidal neurons may participate in the population's os- cillation and contribute to the functions of the subiculum. © 2006 Published by Elsevier Ltd on behalf of IBRO.

Primary sensory neurons can generate irregular burst firings in which the existence of significant deterministic behaviors of chaotic dynamics has been proved with nonlinear time series analysis. But how well the deterministic characteristics and neural information of presynaptic chaotic spike trains were transmitted into postsynaptic spike trains is still an open question. Here we investigated the synaptic transmission of chaotic spike trains between primary Aδ afferent fiber and spinal dorsal horn neuron. Two kinds of basic stimulus unit, brief burst and single pulse, were employed by us to comprise chaotic stimulus trains. For time series analysis, we defined “events” as the longest sequences of spikes with all interspike intervals less than or equal to a certain threshold and extracted the interevent intervals (IEIs) from spike trains. Return map analysis of the IEI series showed that the main temporal structure of chaotic input trains could be detected in postsynaptic output trains, especially under brief-burst stimulation. Using correlation dimension and nonlinear prediction methods, we found that synaptic transmission could influence the nonlinear characteristics of chaotic trains, such as fractal dimension and short-term predictability, with greater influence made under single-pulse stimulation. By calculating the mutual information between input and output trains, we found the information carried by presynaptic spike trains could not be completely transmitted at primary afferent synapses, and that brief bursts could more reliably transmit the information carried by chaotic input trains across synapses. These results indicate that although unreliability exists during synaptic transmission, the main deterministic characteristics of chaotic burst trains can be transmitted across primary afferent synapses. Moreover, brief bursts that come from the periphery can more reliably transmit neural information between primary afferent fibers and spinal dorsal horn neurons.