Recent advancements in neural interfacing techniques to sense and artificially excite neural systems opens up enormous potential for restoring motor, cognitive, and autonomic function using neuromodulation systems. Control of these functions involves identification of suitable configurations, amplitudes, durations, and temporal patterns of stimulation that result in desired effects. In addition to stimulating brain cells, nerves, and muscles, these neuromodulation systems must take on other tasks typically performed by the nervous system to both control and regulate function. Moreover, control strategies must account for unanticipated perturbations and changes in the environment to allow for optimal effects to be sustained. Thus, smart, automated system capable of dynamically adjusting stimulation parameters in response to a changing environment becomes critical for improving the therapeutic efficacy of neuromodulation systems.
In principal accordance, this Research Topic features original interdisciplinary research aimed at the convergence of neurobiology and quantum-, nano- and micro-sciences that lead to novel sensing, stimulation, and control approaches for bench-to-bedside translation of closed-loop neuromodulation systems. To give examples, continuous electroencephalogram monitoring may allow for detection of delayed cerebral ischemia and seizures present in aneurysmal subarachnoid hemorrhages where bench-to-bedside translation requires the development and validation of robust sensor technology. Here, minimizing the foreign body response to these sensor technologies is critical for optimal use of implantable systems that requires convergence of neurobiology and quantum-, nano- and micro-sciences. Furthermore, multi-level spatiotemporal interactions in neurobiological systems presents a challenge, for which development of neurobiology driven computational models and signal classification techniques may be required in order to implement novel neuromodulation strategies. Thus, we are convinced that in addition to novel sensors, advancement of stimulation techniques, including optical stimulation along with neurobiology inspired control approaches will spearhead the bench-to-bedside translation of closed-loop neuromodulation systems. Therefore, the main focus of this Research Topic is on recent advances representing a diverse set of sensing, stimulation, and control approaches at the convergence of neurobiology and quantum-, nano- and microsciences for closed-loop neuromodulation systems.
Recent advancements in neural interfacing techniques to sense and artificially excite neural systems opens up enormous potential for restoring motor, cognitive, and autonomic function using neuromodulation systems. Control of these functions involves identification of suitable configurations, amplitudes, durations, and temporal patterns of stimulation that result in desired effects. In addition to stimulating brain cells, nerves, and muscles, these neuromodulation systems must take on other tasks typically performed by the nervous system to both control and regulate function. Moreover, control strategies must account for unanticipated perturbations and changes in the environment to allow for optimal effects to be sustained. Thus, smart, automated system capable of dynamically adjusting stimulation parameters in response to a changing environment becomes critical for improving the therapeutic efficacy of neuromodulation systems.
In principal accordance, this Research Topic features original interdisciplinary research aimed at the convergence of neurobiology and quantum-, nano- and micro-sciences that lead to novel sensing, stimulation, and control approaches for bench-to-bedside translation of closed-loop neuromodulation systems. To give examples, continuous electroencephalogram monitoring may allow for detection of delayed cerebral ischemia and seizures present in aneurysmal subarachnoid hemorrhages where bench-to-bedside translation requires the development and validation of robust sensor technology. Here, minimizing the foreign body response to these sensor technologies is critical for optimal use of implantable systems that requires convergence of neurobiology and quantum-, nano- and micro-sciences. Furthermore, multi-level spatiotemporal interactions in neurobiological systems presents a challenge, for which development of neurobiology driven computational models and signal classification techniques may be required in order to implement novel neuromodulation strategies. Thus, we are convinced that in addition to novel sensors, advancement of stimulation techniques, including optical stimulation along with neurobiology inspired control approaches will spearhead the bench-to-bedside translation of closed-loop neuromodulation systems. Therefore, the main focus of this Research Topic is on recent advances representing a diverse set of sensing, stimulation, and control approaches at the convergence of neurobiology and quantum-, nano- and microsciences for closed-loop neuromodulation systems.
