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Wise Epidermis: Vision-Based Smooth Force Realizing Method regarding In-Home Hand Treatment.
Introduction The neural response is a noisy random process. The neural response to a sensory stimulus is completely equivalent to a list of spike times in the spike train. In previous studies, decreased neuronal response variability was observed in the cortex's various areas during motor preparatory in reaching tasks. The reasons for the reduction in Neural Variability (NV) are unclear. It could be influenced by an increased firing rate, or it could result from the intrinsic characteristic of cells during the Reaction Time (RT). Methods A neural response function with an underlying deterministic instantaneous firing rate signal and a random Poisson process spike generator was simulated in this research. Neural stimulation could help us understand the relationships between the complex data structures of cortical activities and their stability in detail during motor intention in arm-reaching tasks. selleck products Results Our measurements indicated a similar pattern of results to the cortex, a sharp reduction of the normalized variance of simulated spike trains across all trials. We also observed a reverse relationship between activity and normalized variance. Conclusion The present study findings could be applied to neural engineering and brain-machine interfaces for controlling external devices, like the movement of a robot arm.Introduction Obsessive-Compulsive Disorder (OCD) belongs to the categories of psychiatric disorders with the potential to turn into a chronic condition without receiving the necessary treatments. The main feature of OCD is the frequent or intense obsession and compulsion that might induce great pain and suffering in patients. Moreover, as one of the most prevalent abnormalities, depression usually follows OCD. The present study aimed to compare the effects of Exposure and Response Prevention (ERP) and Transcranial Direct Current Stimulation (tDCS) treatments adjunct to pharmacotherapy on decreasing the severity of obsession-depression symptoms and improving the quality of life in OCD patients. Methods This was a quasi-experimental study with a pre-test, post-test design and a follow-up stage. The statistical population comprised all the patients diagnosed with OCD in Zanjan Province, Iran. Besides, 26 OCD patients referring to Shahid Beheshti Medical Center in Zanjan were selected using a purposive sampling mERP combination proved to be more effective than pharmaco therapy-tDCS in treating OCD patients.Introduction This study aimed to compare the effectiveness of computer-based, manual-based, and combined cognitive rehabilitation to improve cognitive functions among patients with Relapsing-Remitting Multiple Sclerosis (RRMS). Methods This was a quasi-experimental study with a pre-test-post-test, and a 2-month follow-up, as well as a control group design. Sixty female patients with RRMS were selected by convenience sampling technique. Then they were randomly assigned into three experimental groups (computer-based, manual-based, and combined cognitive rehabilitation, each group including 12 patients), a placebo group (12 patients), and a control group (12 patients). The interventions were conducted in 21 sessions for the experimental groups for 5 months. The placebo group received physical rehabilitation intervention, and the control group received no intervention. The study participants were assessed by Psychiatric-Neurological Profile, Mini-Mental State Examination, Kurtzke Expanded Disability Status Scale, Stroop Color and Word Test, Wisconsin Card Sorting Test, and Paced Auditory Serial Addition Test. The obtained data were analyzed by repeated-measures multivariate analysis of variance in SPSS. Results The effect of group factor was not significant (η2=0.129), but the effect of time (η2=0.884) and interaction effect of time and group (η2=0.295) were statistically significant (P0.05). In the post-test totally and in Follow-up partially, all comparisons among three experimental groups with control and placebo groups were statistically significant (P less then 0.05). Conclusion Cognitive rehabilitation was effective in improving cognitive functions in patients with RRMS. Thus, these interventions are recommended for application, along with other treatment protocols to treat RRMS in clinical settings.Introduction The present study aimed to investigate the antidepressant effect of Verbena (V.) officinalis L. aqueous extract in adult female rats. Methods The present study evaluated the antidepressant effect of V. officinalis L. aqueous (V AE) extract in female rats using the Forced-Swimming Test (FST), Light-Dark Box (LDB) test, and Open Field Test (OFT). The level of glycemia and histological analysis were also studied. The VAE [200 mg/kg Parenterally (PO)] was administered orally for 7 successive days in the separate groups of rats. Results The oral administration of V. officinalis L. aqueous extract significantly decreased (P less then 0.01) the immobility time in the FST, increased the time spent in the light area (LDB), and the number of entry into the central squares (OFT). Thus, the extract at a dose of 200 mg/kg significantly decreased the glycemia level (P less then 0.05) and suggested no harmful effect on brain histology. Conclusion Verbena officinalis L. aqueous extract at a dose of 200 mg/kg could have an anti-depressant effect in adult rats.Introduction Identifying the potential firing patterns following different brain regions under normal and abnormal conditions increases our understanding of events at the level of neural interactions in the brain. Furthermore, it is important to be capable of modeling the potential neural activities to build precise artificial neural networks. The Izhikevich model is one of the simplest biologically-plausible models, i.e. capable of capturing most recognized firing patterns of neurons. This property makes the model efficient in simulating the large-scale networks of neurons. Improving the Izhikevich model for adapting with the neuronal activity of rat brain with great accuracy would make the model effective for future neural network implementations. Methods Data sampling from two brain regions, the HIP and BLA, was performed by the extracellular recordings of male Wistar rats, and spike sorting was conducted by Plexon offline sorter. Further analyses were performed through NeuroExplorer and MATLAB. To optimize the Izhikevich model parameters, a genetic algorithm was used.
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