Parallel Session 1201

How Neuroimaging is Rapidly Transforming the Diagnosis and Treatment of Parkinson's Disease

Friday, February 13, 2026
14:30 - 16:30 | River Oaks Room

In this session, the faculty will present recent advancements on how neuroimaging is transforming the diagnosis and management of Parkinson’s disease, with a focus on enabling earlier and more individualized diagnosis. They will highlight the integration of deep learning techniques with neuroimaging tools, illustrating how this synergy enhances brain data analysis; leading to deeper insights, improved interpretation of results, and better clinical applications.

Chairs:

Shannon Chiu, USA
Antonio Strafella, Canada

Presenters:

How is Artificial Intelligence Currently Used in Imaging Tools for Parkinson’s Disease?
Shannon Chiu, USA

How Multimodal Imaging Aids in Early Detection and Monitoring Disease Progression In PD?
Antonio Strafella, Canada

Relevance of Alpha-Synuclein Imaging in Synucleinopathies
Vasko Kramer, Chile

CSPC Liaisons:

Cecilia Peralta, Argentina

Learning Objectives

At the conclusion of this session, participants should be better able to:

1. Recognize how artificial intelligence and machine learning can change the way we analyze current neuroimaging studies for the diagnosis and differential diagnosis of Parkinson’s disease.
2. Identify multimodal imaging techniques that may be helpful for early detection and monitoring Parkinson’s disease.
3. Discuss the latest advancements in the development of alpha-synuclein tracers for Parkinson’s disease.

Recommended Audience

Clinician / General Neurology
Fellow / Resident / Student
Health Professional (non-physician)
Researcher / Basic Science

Education Level

Beginner / Foundational
Experienced
Expert