Neurotechnologies encompass a wide spectrum of tools and methodologies aimed at interfacing with the nervous system for diagnostic, therapeutic, or investigational purposes. Leveraging advancements in engineering, computer science, and neuroscience, these technologies enable manipulation or monitoring of neural activity across various scales, from individual neurons to entire brain networks. Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) stand as non-invasive methods for measuring brain activity, offering insights into neural correlates of behavior and cognition. Deep brain stimulation (DBS) and transcranial magnetic stimulation (TMS) emerge as therapeutic modalities, providing avenues for modulating brain function in conditions like Parkinson's disease, depression, and chronic pain. Optogenetics, another innovative approach, involves genetically altering neurons to respond to light, facilitating precise control over neural activity with exceptional spatial and temporal resolution. Meanwhile, neural prosthetics present a remarkable advancement, directly interfacing with the nervous system to restore lost sensory or motor functions, holding particular promise for individuals grappling with spinal cord injuries or limb amputations. As neurotechnologies continue to evolve, they present immense potential for advancing our understanding of the brain and developing groundbreaking treatments for neurological disorders, ultimately improving the lives of millions worldwide.
Title : A case of vile vindictive primary CNS vasculitis
George Diaz, Memorial Healthcare Systems, United States
Title : Novel important cellular responses, signaling mechanisms and therapeutic options in vascular dementia
Yong Xiao Wang, Albany Medical College, United States
Title : The role of beliefs, perception, and behavioural patterns in the evolution of psychophysical disorders
Ken Ware, NeuroPhysics Therapy Institute and Research Centre, Australia
Title : A multiscale systems biology framework integrating ODE-based kinetics and MD-derived structural affinities to model mBDNF–proBDNF-mediated bifurcation dynamics in CNS neurotrophin signaling
Krishna Moorjani, Boston University, United States
Title : A multiscale systems biology framework integrating ODE-based kinetics and MD-derived structural affinities to model mBDNF–proBDNF-mediated bifurcation dynamics in CNS neurotrophin signaling
Abhay Murthy, Boston University, United States
Title : A multiscale systems biology framework integrating ODE-based kinetics and MD-derived structural affinities to model mBDNF–proBDNF-mediated bifurcation dynamics in CNS neurotrophin signalling
Ethan Liu, Boston University, United States