Until recently, neuromodulation therapy for neurological diseases, such as movement disorders, neuropsychiatric disease, pain, and epilepsy, has largely relied on continuous open-loop stimulation for symptom relief. With technological advances, implantable neurostimulators with sensing functions are now available both as commercially available as well as research-only devices. This opens the door for closed-loop, or adaptive, neurostimulation therapy, where neural signals reflecting the disease or symptom state can control or trigger stimulation.
These bidirectional neural interfaces have also significantly advanced understanding of human neurophysiology as well as the pathophysiology of various neuropsychiatric conditions. By chronically recording or streaming neural activity through various central nervous system regions, we have gained tremendous insight into the functions and dysfunctions of the human nervous system. Using this knowledge, researchers now have the capability of designing real-time closed loop neurostimulation therapy using native nervous system signals to dynamically control and restore function on a circuit level.
This Research Topic’s goal is to collect articles showing how we can harness these new tools to both understand human nervous system functions in health and disease, and translate this knowledge into closed-loop neuromodulation therapy.
To this aim, we welcome research articles and review articles focusing mainly, but not limited to, the following issues:
• Biomarker discovery in movement disorders, epilepsy, psychiatric disease, and pain using bidirectional neural interfaces
• Prototypes of closed-loop, or adaptive, neurostimulation to treat various neurological and psychiatric diseases and conditions
• The use of neural sensing technology to understand human neurophysiology and behavior
• Techniques for neural decoding
• Technical advances in device design
• Ethical issues surrounding closed-loop neuromodulation therapy
Until recently, neuromodulation therapy for neurological diseases, such as movement disorders, neuropsychiatric disease, pain, and epilepsy, has largely relied on continuous open-loop stimulation for symptom relief. With technological advances, implantable neurostimulators with sensing functions are now available both as commercially available as well as research-only devices. This opens the door for closed-loop, or adaptive, neurostimulation therapy, where neural signals reflecting the disease or symptom state can control or trigger stimulation.
These bidirectional neural interfaces have also significantly advanced understanding of human neurophysiology as well as the pathophysiology of various neuropsychiatric conditions. By chronically recording or streaming neural activity through various central nervous system regions, we have gained tremendous insight into the functions and dysfunctions of the human nervous system. Using this knowledge, researchers now have the capability of designing real-time closed loop neurostimulation therapy using native nervous system signals to dynamically control and restore function on a circuit level.
This Research Topic’s goal is to collect articles showing how we can harness these new tools to both understand human nervous system functions in health and disease, and translate this knowledge into closed-loop neuromodulation therapy.
To this aim, we welcome research articles and review articles focusing mainly, but not limited to, the following issues:
• Biomarker discovery in movement disorders, epilepsy, psychiatric disease, and pain using bidirectional neural interfaces
• Prototypes of closed-loop, or adaptive, neurostimulation to treat various neurological and psychiatric diseases and conditions
• The use of neural sensing technology to understand human neurophysiology and behavior
• Techniques for neural decoding
• Technical advances in device design
• Ethical issues surrounding closed-loop neuromodulation therapy
