Postinjury Neuroplasticity in Central Neural Networks
نویسندگان
چکیده
1Department of Physiology, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul 120-752, Republic of Korea 2Department of Biomedical Engineering, Seamans Center for the Engineering Arts and Sciences, College of Engineering, University of Iowa, Iowa City, IA 52242, USA 3Department of Physiology, Korea University College of Medicine, Seoul 136-705, Republic of Korea 4Department of Neurology, University of California, San Francisco, and San Francisco Veterans Affairs Medical Center, San Francisco, CA 94121, USA 5Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Republic of Korea
منابع مشابه
P 138: Improving Neuroplasticity Through Neuroinflammation Pathways as a Therapeutic Goal in the Treatment of Autism
Neuroplasticity is the brain's ability to reorganize itself by forming new neural connections throughout life. Neuroplasticity allows the neurons in the brain to compensate injury and disease and to adjust their activities in response to new situations or to changes in their environment. At the other side, it is now well established that neuronal function is strongly influenced by both central ...
متن کاملEEG Source Imaging Guided by Spatiotemporal Specific fMRI: Toward an Understanding of Dynamic Cognitive Processes
Understanding the mechanism of neuroplasticity is the first step in treating neuromuscular system impairments with cognitive rehabilitation approaches. To characterize the dynamics of the neural networks and the underlying neuroplasticity of the central motor system, neuroimaging tools with high spatial and temporal accuracy are desirable. EEG and fMRI stand among the most popular noninvasive n...
متن کاملNeuroplasticity and neuromotor synergies in context of rehabilitation after stroke: a systematic review
Background: Alterations of neuroplasticity and cortical excitability are important pathophysiological factors in stroke. Modulation of the neuroplasticity has been proposed as an underlying mechanism of recovery in different neurological disorders. But it is not still clear how the CNS faces the complexity of muscle control. Neuroplastic processes may be used for the functional improvement of s...
متن کاملApplication of artificial neural networks on drought prediction in Yazd (Central Iran)
In recent decades artificial neural networks (ANNs) have shown great ability in modeling and forecasting non-linear and non-stationary time series and in most of the cases especially in prediction of phenomena have showed very good performance. This paper presents the application of artificial neural networks to predict drought in Yazd meteorological station. In this research, different archite...
متن کاملEfficient Parameters Selection for CNTFET Modelling Using Artificial Neural Networks
In this article different types of artificial neural networks (ANN) were used for CNTFET (carbon nanotube transistors) simulation. CNTFET is one of the most likely alternatives to silicon transistors due to its excellent electronic properties. In determining the accurate output drain current of CNTFET, time lapsed and accuracy of different simulation methods were compared. The training data for...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
دوره 2015 شماره
صفحات -
تاریخ انتشار 2015