MDS Abstracts

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

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Articles tagged "Functional magnetic resonance imaging(fMRI)"

  • 2024 International Congress

    Abnormal basal ganglia-related functional gradient in Parkinson’s disease

    L. Chen, L. Sun, M. Xia, T. Wu (Beijing, China)

    Objective: The aim of this research was to investigate the basal ganglia (BG)-related functional gradient alterations and the association between these brain dysfunctions and clinical…
  • 2024 International Congress

    Reliability of neurophysiological and cerebral tremor features in Parkinson’s disease

    L. Angelini, KRE. Berg, MF. Dirkx, M. Bologna, BR. Bloem, RCG. Helmich (Pozzilli

    Objective: We aim to assess the stability and intra-individual reliability of clinical, neurophysiological and neuroimaging Parkinson’s Disease (PD) tremor parameters. Background: The cerebello-thalamo-cortical circuit (CTC)…
  • 2024 International Congress

    Classification of Parkinson’s disease using AI based on multi-modal brain MRI connectomics

    T. Teo, T. Welton (Singapore, Singapore)

    Objective: To develop a novel artificial intelligence (AI) model using connectivity matrices derived from multi-modal brain magnetic resonance imaging (MRI) to aid diagnosis and subtyping…
  • 2024 International Congress

    Longitudinal Structural and Functional Correlates of Progression in Isolated Rapid Eye Movement Sleep Behaviour Disorder

    L. Churchill, YC. Chen, J. Anderson, A. Ignatavicius, SJG. Lewis, E. Elie (Camperdown, Australia)

    Objective: To identify progressive structural and functional imaging alterations in a longitudinal cohort of patients with isolated rapid eye movement sleep behavior disorder (iRBD). Background:…
  • 2024 International Congress

    Functional Connectivity Changes Associated with Interlimb Coordination Force Deficits in Parkinson’s Disease

    A. Bower, J. Chung, R. Burciu (Newark, USA)

    Objective: To investigate differences in the functional connectivity of motor regions between individuals with and without Parkinson’s disease (PD) during a force task requiring coordination…
  • 2024 International Congress

    Differences in regional activity levels between healthy controls, PD-nFOG, and PD-FOG as measured by ALFF and fALFF using resting-state fMRI.

    T. Davis, Z. Mari, V. Mishra (Birmingham, USA)

    Objective: To elucidate regional neural activity differences in patients with PD-FOG using resting-state fMRI (rs-fMRI). Background: Freezing of gait (FOG) in Parkinson's disease (PD0 is…
  • 2024 International Congress

    Altered Dynamic Functional Connectivity in Parkinson’s Disease Individuals with Visual Hallucinations and Dysfunction

    MA. Alizadeh, SN. Naghizadehkashani, OS. Shoraka, KS. Shivok, IF. Fayed, KH. Hines, AA. Atik, CM. Matias, RS. Sergott, TWL. Liang, CW. Wu (Philadelphia, USA)

    Objective: Parkinson’s disease (PD) is frequently accompanied by visual disturbances (VD) and visual hallucinations (VH). This study aimed to analyze the alterations of Dynamic Functional…
  • 2024 International Congress

    Comparative Study of Whole-Brain Functional Connectivity Patterns in Parkinson’s Disease and Essential Tremor: A Resting-State fMRI Study

    O. Shoraka, S. Naghizadeh Kashani, M. Syed, K. Shivok, T. Liang, R. Sergott, I. Fayed, C. Matias, C. Wu, A. Sharan, M. Alizadeh (Philadelphia, USA)

    Objective: Our study aimed to analyze the alterations in brain FC in subjects with tremor-dominant PD compared to ET subjects. Background: While both tremor-dominant Parkinson’s…
  • 2024 International Congress

    Predicting cognitive phenotypes in de novo Parkinson’s disease: an fMRI data-driven approach.

    MI. de Bartolo, A. Ojha, G. Leodori, C. Piervincenzi, G. Vivacqua, S. Pietracupa, M. Costanzo, F. D'Antonio, S. Barbetti, R. Margiotta, G. Bruno, A. Conte, A. Berardelli, G. Fabbrini, P. Pantano, D. Belvisi (Rome, Italy)

    Objective: To verify whether connectivity changes in the dorsolateral prefrontal cortex (DLPC) and the precuneus (PCun) can predict cognitive phenotypes in de novo Parkinson’s disease…
  • 2024 International Congress

    The Feasibility of ICA in Parkinson’s Disease fMRI

    A. Kim, K. Shivok, T. Liang, R. Sergott, L. Singanamala, I. Fayed, C. Matias, C. Wu, L. Krisa, M. Alizadeh (Villanova, USA)

    Objective: To report the feasibility of ICA on the BOLD signals of a Parkinson’s Disease patient. Background: ICA is a mathematical method to decompose multivariate…
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