Intraoperative neurophysiologic mapping (IONM) is a crucial procedure conducted during certain surgeries, particularly those involving the brain or spinal cord, to monitor the real-time functional integrity of neural structures. This technique employs various electrophysiological methods to evaluate the functionality of nerves and neural pathways during surgery. Electrodes are strategically placed on specific areas of the body corresponding to the nerves being monitored, recording electrical signals generated by the nerves in response to stimulation. Surgeons analyze these signals to determine whether neural structures are at risk of damage during the surgical procedure. IONM serves multiple vital purposes during surgery, including identifying and avoiding potential nerve damage, reducing the risk of postoperative neurological deficits, providing immediate feedback on the effectiveness of surgical maneuvers, and aiding in the precise localization of neural structures for more accurate interventions. Overall, intraoperative neurophysiologic mapping significantly enhances the safety and efficacy of surgeries involving the nervous system, leading to better patient outcomes and reduced risks of neurological complications.
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