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Deep brain stimulation (DBS) is a widely used therapy for movement
disorders such as Parkinson's disease, essential tremor, and
dystonia. Its therapeutic success has led to the application of DBS
for an increasing spectrum of conditions. However, the fundamental
relationships between neural activation, neurochemical
transmission, and clinical outcomes during DBS are not well
understood. Drawing on the clinical and research expertise of the
Mayo Clinic Neural Engineering Laboratories, this book addresses
the history of therapeutic electrical stimulation of the brain, its
current application and outcomes, and theories about its underlying
mechanisms. It reviews research on measures of local
stimulation-evoked neurochemical release, imaging research on
stimulation-induced neural circuitry activation, and the state of
the art on closed-loop feedback devices for stimulation delivery.
This book focuses on neuro-engineering and neural computing, a
multi-disciplinary field of research attracting considerable
attention from engineers, neuroscientists, microbiologists and
material scientists. It explores a range of topics concerning the
design and development of innovative neural and brain interfacing
technologies, as well as novel information acquisition and
processing algorithms to make sense of the acquired data. The book
also highlights emerging trends and advances regarding the
applications of neuro-engineering in real-world scenarios, such as
neural prostheses, diagnosis of neural degenerative diseases, deep
brain stimulation, biosensors, real neural network-inspired
artificial neural networks (ANNs) and the predictive modeling of
information flows in neuronal networks. The book is broadly divided
into three main sections including: current trends in technological
developments, neural computation techniques to make sense of the
neural behavioral data, and application of these
technologies/techniques in the medical domain in the treatment of
neural disorders.
This book focuses on neuro-engineering and neural computing, a
multi-disciplinary field of research attracting considerable
attention from engineers, neuroscientists, microbiologists and
material scientists. It explores a range of topics concerning the
design and development of innovative neural and brain interfacing
technologies, as well as novel information acquisition and
processing algorithms to make sense of the acquired data. The book
also highlights emerging trends and advances regarding the
applications of neuro-engineering in real-world scenarios, such as
neural prostheses, diagnosis of neural degenerative diseases, deep
brain stimulation, biosensors, real neural network-inspired
artificial neural networks (ANNs) and the predictive modeling of
information flows in neuronal networks. The book is broadly divided
into three main sections including: current trends in technological
developments, neural computation techniques to make sense of the
neural behavioral data, and application of these
technologies/techniques in the medical domain in the treatment of
neural disorders.
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