MDS Abstracts

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

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Articles tagged "Functional magnetic resonance imaging(fMRI)"

  • 2026 International Congress

    Cerebellar Network Compensation in Parkinson’s Disease: Functional Connectivity Across Motor and Cognitive Circuits

    C. Lin, T. Magalhães, S. Yonce, I. Rampalli, R. Mahabir, J. Bernard (Houston, USA)

    Objective: To investigate whether alterations in cerebellar connectivity with cortical and basal ganglia networks in Parkinson’s disease (PD) represent compensatory network adaptations related to dopaminergic…
  • 2026 International Congress

    Longitudinal motor network responses to pallidal DBS in cervical dystonia: an ongoing DBS-fMRI study

    E. Cito, S. Deutsch, S. Wang, D. Mikhael, J. Ostrem, M. San Luciano, I. Bledsoe, M. Morrison (San Francisco, USA)

    Objective: This longitudinal MRI study in cervical dystonia uses functional MRI (fMRI) to evaluate neural mechanisms underlying clinical response to deep brain stimulation (DBS), with…
  • 2026 International Congress

    Modulated functional connectivity in patients with Parkinson’s disease by transcutaneous auricular acupoint Vagus Nerve Stimulation (taVNS)

    XJ. Dan, SS. Gao, JL. Fang, P. Chan (45#Changchun Street, Xicheng District, Beijing, China)

    Objective: To explore the brain function mechanism of rs-fMRI in the treatment of PD by taVNS. Background: TaVNS has the potential  to improve the clinical…
  • 2026 International Congress

    Sleep Slow-Wave Activity Topography and Dynamics in PD: Relationships with Resting-State fMRI data and Glymphatic Clearance

    O. Alenikova, O. Zmachinskaya, M. Dymkovskaya, E. Mykitchuk (Minsk, Belarus)

    Objective: We propose that abnormal EEG power dynamics during sleep are associated not only glymphatic dysfunction but also signal fundamental changes in resting-state functional connectivity…
  • 2026 International Congress

    Identification of Parkinson’s Disease Tremor-Related Functional Network Topographies Using 3.0 T rs-fMRI

    ZY. Lin, J. Li, ZT. Zeng, DY. Li (Shanghai, China)

    Objective: To identify rs-fMRI-derived functional brain network patterns associated with parkinsonian tremor severity and dopaminergic medication responsiveness in Parkinson’s disease (PD). Background: While metabolic imaging…
  • 2026 International Congress

    Distinct Cortical and Subcortical Network Mechanisms of High and Low Frequency Subthalamic Stimulation in Parkinsons Disease

    Z. Zeng, Z. Lin, C. Zhang, Z. Duan, B. Sun, N. He, P. Peng, D. Li (Shanghai, China)

    Objective: The study aimed to quantify and compare the directional, effective connectivity modulated by HFS and LFS within a motor-cognitive-emotional brain network to identify the…
  • 2026 International Congress

    Central Autonomic Network Alterations in MSA: From Subcortical Degeneration to Prefrontal Reorganization

    Y. Wang, A. He, W. Mao, P. Chen (Beijing, China)

    Objective: To characterize disease- and symptom-specific alterations in the central autonomic network (CAN) in multiple system atrophy (MSA) and associations with autonomic dysfunction. Background: Autonomic…
  • 2026 International Congress

    Cholinergic Dysconnectivity in Early Parkinson’s Disease Aligns with the Basal Forebrain Functional Gradient

    A. Ignatavicius, L. Churchill, A. Konuri, J. Anderson, S. Lewis, E. Matar (Sydney, Australia)

    Objective: To determine whether alterations in cholinergic functional connectivity (FC) in early PD relate to the intrinsic organization of the basal forebrain (BF) functional connectome.…
  • 2026 International Congress

    Dopaminergic reconfiguration of an inverted network hierarchy in Parkinson’s disease

    Z. Zhang, T. Feng (Beijing, China)

    Objective: To determine how acute dopaminergic treatment reshapes large-scale brain network organization in Parkinson’s disease (PD). Background: Dopamine replacement reliably improves motor symptoms in PD,…
  • 2026 International Congress

    Automated MRI Biomarker Extraction for Parkinson’s Disease Using Attention-Based U-Net Segmentation

    G. Kuanar, C. Mahapatra (Cuttack, India)

    Objective: To evaluate a deep learning-based automated segmentation pipeline for extracting midbrain regions in MRI scans related to Parkinson’s disease. Background: Magnetic resonance imaging has…
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