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 : 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