MDS Abstracts

Abstracts from the International Congress of Parkinson’s and Movement Disorders.

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  • 2026 International Congress

    Restless Limbs Syndrome (RLS) is More Likely a Premotor Symptom of Parkinson’s Disease then a Predisposing Condition.

    D. Dickoff (Yonkers, USA)

    Objective: A recent study suggested that 1.6% of RLS patients developed PD vs 1% of controls.The authors questioned whether RLS could be a premonitory symptom…
  • 2026 International Congress

    Identifying Peripheral Stimulation Sites to Treat Parkinson’s Disease Gait Impairments

    N. Hennessy, M. Bravo, J. Fallon, M. Shoushtarian (East Melbourne, Australia)

    Objective: Our aim is to develop a non-invasive treatment for Parkinson’s Disease gait symptoms by applying peripheral stimulation to the feet using coordinated reset stimulation…
  • 2026 International Congress

    Biomarker and Clinical Correlates of Restless Legs Syndrome (RLS) in Parkinson’s Disease: A Paradoxical Hyperdopaminergic State

    SM. Fereshtehnejad, J. Valerio, N. Ayas (Vancouver, Canada)

    Objective: To examine the clinical and biomarker correlates of Restless legs syndrome (RLS) in Parkinson’s disease (PD). Background: RLS is more common in PD than…
  • 2026 International Congress

    Genomic Insights into Parkinson’s Disease: LARGE-PD and PD GENEration Collaboration in El Salvador

    S. Peña Martínez, T. Ascencio, R. de León, I. Mata (SS, El Salvador)

    Objective: To characterize clinical and genetic features of  Parkinson’s disease (PD)  in El Salvador in the PD GENEration and LARGE-PD. Background: Central American populations remain…
  • 2026 International Congress

    HD-RAC (Huntington’s Disease Research at Convention) Series: Novel approach to pilot data collection for outcome measures in Huntington’s disease

    S. Sathe, M. Roche, R. Fuller, G. Phelan, C. Harwood, S. Lacy, S. Lazic, S. Smith, H. Wilkinson, C. Sampaio (Princeton, USA)

    Objective: The aim of HD-RAC studies is to answer focused research questions or collect pilot data for use of digital health technology (DHT) in clinical…
  • 2026 International Congress

    Objective Characteristics and Brain Network Alterations in Early-Stage Parkinson’s Disease with Gastric Motility Disorder

    J-Y. Jin, X-Y. Cheng, C-J. Mao, C-F. Liu (Suzhou, China)

    Objective: To characterize objective gastric motility disorder (GMD) in early-stage Parkinson’s disease (PD) and explore the underlying central neural network and structural alterations using multimodal…
  • 2026 International Congress

    Progressive Dynamic Functional Network Disorganisation and its Association with Phenoconversion in Isolated REM Sleep Behaviour Disorder: A Multicentre Study

    L. Churchill, J. Anderson, A. Ignatavicius, A. Konuri, M. Johansson, R. Gaurav, S. Lehéricy, S. Lewis, E. Matar (Sydney, Australia)

    Objective: To characterise static and dynamic functional connectivity signatures of disease progression and phenoconversion in a multicentre longitudinal cohort of individuals with isolated REM sleep…
  • 2026 International Congress

    Targeting the Immunoproteasome PSMB8: A dual strategy to enhance α-synuclein clearance and mitigate CD8+ T-Cell neurotoxicity in Parkinson’s Disease

    HD. Nguyen, HBT. Tran, TT. Nguyen, IH. Kwak, YJ. Kim, H. Ma, HJ. Kim, YE. Kim (Anyang, Republic of Korea)

    Objective: To determine if the immunoproteasome (IP) subunit PSMB8 serves as a pathological link between α-synuclein aggregation and cytotoxic immune responses in Parkinson’s disease (PD).…
  • 2026 International Congress

    Interplay of sex and GBA1 and LRRK2 genotype in Parkinson disease progression

    J. Park, M. Yang, N. Masood, R. Ortega, D. Raymond, A. Wise, B. Green, K. Leaver, V. Katsnelson, V. Shanker, M. Swan, M. Pullman, A. Domingo, L. Ozelius, S. Bressman, C. Wang, R. Saunders-Pullman (New York, USA)

    Objective: To characterize disease heterogeneity and how sex impacts motor and cognitive progression class membership across genetic subgroups of GBA1, LRRK2, and idiopathic Parkinson disease (PD). Background: Autosomal…
  • 2026 International Congress

    Towards Deep Learning for Personalized Parkinson’s Disease Tremor Segmentation and Severity Classification Using Wearable Sensors

    J. Jaegerman, C. Lucasius, J. Ambrad, C. Gorodetsky (Toronto, Canada)

    Objective: The objective of this work is to develop and evaluate a deep learning framework for segmenting and classifying Parkinson’s disease (PD) resting tremor severity…
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