Global Neurology Summit 2024 – Webcast

The Global Neurology Summit 2024 featured sessions by esteemed speakers on advancements in epilepsy, stroke, multiple sclerosis, dementia, and headache syndromes. Topics included neuroprotection, antiseizure medications, genetic treatments, predictive devices, neuromodulation, AI in neurological diseases, and breakthrough treatments. Learning objectives focused on enhancing clinical practices, leveraging emerging technologies, understanding ethical considerations, and optimizing treatment strategies. These sessions, recorded for enduring material, provide a comprehensive overview of current trends and innovations in neurology, fostering continued education for healthcare professionals.

Topics and Learning Objectives:

1. Epilepsy as a Prototype System Disease/Neuroprotection

Speaker: Solomon L. Moshé, MD

• Discuss common pathways underlying brain diseases.
• Provide an overview of the epileptic process.
• Discuss epilepsy's association with diseases like stroke, trauma, Alzheimer's, and more.

2. Patient Perspective in Epilepsy

Speaker: Monika Jones, JD

• Identify disparities in care access for children with drug-resistant epilepsy.
• Understand the impact of timely diagnosis and surgical referral.
• Explore strategies to address systemic inequities in healthcare.

3. Antiseizure Drugs in Epilepsy and Other Neurological Diseases

Speaker: Sunita Dergalust, Pharm.D

• Summarize literature on off-label uses of antiseizure medications (ASMs).
• Understand ASMs' mechanisms in treating neurological disorders.
• Optimize ASM use for off-label indications.

4. Personalized Meds and Genetic Treatments in Epilepsy

Speaker: Aristea S. Galanopoulou, MD, PhD

• Illustrate examples of precision therapies for epilepsies.
• Enhance individualized seizure management.
• Compare genetic treatments' benefits and challenges.

5. Predictive Devices in Epilepsy

Speaker: John M. Stern, MD

• Recognize limitations of seizure burden assessments.
• Review devices for improved epilepsy care.
• Reconsider interpreting seizure logs for treatment decisions.

6. Predictive Devices in Stroke

Speaker: Jeffrey L. Saver, MD

• Survey wearable technologies to detect stroke onset.
• Review stroke recognition and subtyping devices.
• Describe mobile technologies for stroke risk management.

7. Breakthrough Treatments in Multiple Sclerosis

Speaker: Aaron E. Miller, MD, FAAN

• Understand the 2024 McDonald Criteria for MS diagnosis.
• Engage in shared decision-making for disease-modifying therapies.
• Learn about new therapies in Phase 3 trials.

8. Devices and Neuromodulation in Headache Syndromes

Speaker: Peter Goadsby, MBBS, MD, PhD

• Describe mechanisms underlying neuromodulation's clinical effects.
• Outline results from key neuromodulation trials.
• Understand neuromodulation use in practice.

9. Living with Dementia: A Doctor’s Perspective

Speaker: Barbara Sue Koppel, MD

• Guide relatives in obtaining a definitive dementia diagnosis.
• Advise on the benefits of clinical trial participation.
• Address offspring's risks and preventive measures.

10. Neuromodulation and Deep Brain Stimulation in Epilepsy and Parkinson's Disease

Speaker: Robert E. Gross, MD, PhD

• Identify indications and benefits of DBS for Parkinson’s and epilepsy.
• Explore new neuromodulation approaches.

11. Artificial Intelligence and Devices in Dementia

Speaker: Ali Ezzati, MD

• Examine considerations for integrating AI in dementia care.
• Discuss AI's role in tracking dementia progression.
• Explain intelligent devices for managing dementia care.

12. Breakthrough Treatments in Dementing Illnesses

Speaker: Barbara Joy Snider, MD, PhD

• Understand new diagnostic tools for Alzheimer’s disease.
• Evaluate amyloid antibody therapy risks and benefits.
• Address challenges of new Alzheimer’s therapies in practice.

13. Artificial Intelligence in Epilepsy

Speaker: Fred A. Lado, MD, PhD

• Differentiate AI types like machine learning and deep learning in epilepsy care.
• Identify current and future AI applications.
• Understand AI limitations and biases.

The estimated time to complete this activity is 9 hours.