Seizures represent abnormal, uncontrolled electrical disturbances in the brain, manifesting in a spectrum of symptoms from convulsions to altered consciousness. Understanding these events involves categorizing them into two primary types: focal seizures, originating in a specific brain area, and generalized seizures, involving both hemispheres. Further classification occurs based on characteristics like motor or sensory symptoms and awareness levels. Various factors can provoke seizures, including epilepsy, brain injuries, infections, genetic predispositions, metabolic imbalances, and substance withdrawal. Identifying the root cause is pivotal for effective treatment. Triggers such as flashing lights, stress, sleep deprivation, hormonal changes, and certain medications can precipitate seizures in susceptible individuals, necessitating recognition and avoidance for seizure management. Treatment strategies focus on seizure control and enhancing quality of life, often employing antiepileptic medications, lifestyle adjustments, and occasionally surgical interventions for resistant cases. Comprehensive seizure management includes educating patients and caregivers on seizure first aid, implementing safety measures, and addressing psychosocial aspects for holistic support. Analyzing seizures requires a thorough evaluation encompassing their classification, causes, triggers, and management approaches to deliver optimal care and assistance to those impacted by these neurological events.
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