Understanding aging and neurology is essential for addressing the neurological challenges that accompany aging. As individuals age, structural changes in the brain can lead to cognitive impairments, motor dysfunctions, and increased susceptibility to neurological diseases. Ongoing research is uncovering the mechanisms behind these changes, including the role of genetic factors, protein accumulation, and disrupted brain plasticity. By exploring new treatments, from neuroprotective drugs to regenerative therapies like stem cell treatments, this field is focused on mitigating the effects of aging on brain health, enhancing the brain’s ability to recover, and improving the overall well-being of older adults. The integration of advanced neuroimaging techniques is also allowing for better understanding of brain aging in real-time, aiding in more precise diagnosis and treatment. These efforts promise to make significant strides in preserving neurological function in older populations.
Title : Atypical presentation of Juvenile myoclonic epilepsy in a 16-year-old female: A case report
George Diaz, Memorial Healthcare Systems, United States
Title : Triple-network dysfunction, ME/CFS, and the NeuroPhysics Treatment Process “A dynamical systems perspective on psychophysical organization and environmental interaction”
Ken Ware, NeuroPhysics Therapy Institute and Research Centre, Australia
Title : Narrative medicine: A communication therapy for the communication disorder of Functional Seizures (FS) [also known as Psychogenic Non-Epileptic Seizures (PNES)]
Robert B Slocum, University of Kentucky HealthCare, United States
Title : ACE-dependent Alzheimer’s Disease (AD)
Sergei M Danilov, University of Illinois, United States
Title : Examining the effects of prenatal neurotoxin exposure on the development of the prefrontal cortex and its impact on executive functioning and attentional capacities in children
David Joseph Sperbeck, Private practice, United States
Title : Managing healthcare transformation towards personalized, preventive, predictive, participative precision medicine ecosystems
Bernd Blobel, University of Regensburg, Germany