The role of intraoperative neurophysiological monitoring in spinal surgery: A focused evidence review (2015-2025). [PDF]
Fatima K +6 more
europepmc +1 more source
Abstract The intestinal microbiome plays a pivotal role in maintaining host health through its involvement in gastrointestinal, immune, and central nervous system (CNS) functions. Recent evidence underscores the bidirectional communication between the microbiota, the gut, and the brain and the impact of this axis on neurological diseases, including ...
Teresa Ravizza +4 more
wiley +1 more source
A soft electrode array with reconfigurable hydrogel interfaces for high-fidelity neurophysiological monitoring during craniotomy. [PDF]
Yang G +14 more
europepmc +1 more source
Abstract Objective Epilepsy is a common condition associated with significant morbidity, mortality, and costs. Poor documentation of seizures is a major challenge in epilepsy care. Objective seizure counting with mobile devices may mitigate this challenge and improve patient management.
Matthew McWilliam +8 more
wiley +1 more source
Frequency-Following Responses for Objective Neurophysiological Monitoring in Pediatric Fetal Alcohol Spectrum Disorder: A Proof of Concept Case Study During Non-Invasive Neuromodulation. [PDF]
Templado S +4 more
europepmc +1 more source
Neonatal seizures: Advances in diagnosis and management
Abstract The International League Against Epilepsy (ILAE) created the ILAE Neonatal Task Force that classified neonatal seizures, defined neonatal epilepsy syndromes, and specified treatment guidelines. These frameworks, in addition to improved access to genetic testing and other recent advances, have revolutionized the diagnosis and management of ...
Elissa G. Yozawitz +2 more
wiley +1 more source
Intraoperative Neurophysiological Monitoring in Patients With Marfan Syndrome Scoliosis. [PDF]
Cao K +6 more
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Sacral neurostimulation of penile erection: advancing intraoperative neurophysiological monitoring during pelvic surgeries-a narrative review. [PDF]
Burnett AL.
europepmc +1 more source

