Understanding the biological processes that contribute to dementia is essential for advancing diagnosis, prevention and treatment. This session focuses on cellular, molecular, biochemical and structural changes associated with Alzheimer’s disease and related neurodegenerative disorders. Areas of interest include protein aggregation, synaptic dysfunction, neuronal loss, oxidative stress, vascular changes, metabolic disturbances and interactions between different pathological pathways.
The session welcomes laboratory, preclinical, translational and human studies examining disease initiation, progression and neuropathological features. Abstracts may include experimental models, tissue studies, molecular investigations, computational research, pathological observations and interdisciplinary analyses. Neuroscientists, molecular biologists, neuropathologists, pharmacologists, biochemists, geneticists, clinicians, biomedical researchers and students may present findings that improve understanding of dementia-related disease mechanisms.
Title : Make a difference
Jacqueline Tuppen, Dementia UK, United Kingdom
Title : Imaging brain clearance in Alzheimer’s disease
Jun Hua, Johns Hopkins University , United States
Title : Neuromodulation of scalp electroacupuncture in the treatment of autism spectrum disorder
Zhenhuan Liu, Nanhai Maternity and Children Hospital Affiliated to Guangzhou University of Chinese Medicine, China
Title : Neuroimaging-based evaluation of scalp acupuncture for neural repair and reorganization in children with cerebral palsy
Zhenhuan Liu, Nanhai Maternity and Children Hospital Affiliated to Guangzhou University of Chinese Medicine, China
Title : The Bansal neuron model: A nonlinear framework for exploring neuronal excitability and electrophysiological dysfunction in Alzheimer's disease
Abhishek Bansal, New Era Consultancy Services, India
Title : Neurophysiological change and cognitive response to levetiracetam in Alzheimer disease: Testing the missing mechanistic link
Christopher Hubler, Emergent Neural Systems Institute for Research, United States