MDS Abstracts

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

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Articles tagged "Dystonia: Pathophysiology"

  • 2024 International Congress

    Abnormal brain iron metabolism influences neural function in isolated laryngeal dystonia

    G. Battistella, L. Xavier, A. Vortmeyer, K. Simonyan (Boston, USA)

    Objective: To investigate iron accumulation as a pathophysiological signature of laryngeal dystonia (LD) and assess the abnormal influence of iron on neural activity within the…
  • 2024 International Congress

    Neural Signatures of Laryngeal Dystonia during Asymptomatic Tasks of Sequential and Learned Finger-Tapping

    M. Day, G. Battistella, K. Simonyan (Boston, USA)

    Objective: To investigate brain activity in laryngeal dystonia (LD) patients compared to healthy controls during asymptomatic motor tasks of sequential and learned finger-tapping, as well…
  • 2024 International Congress

    Writing dysfluency associates with basal ganglia network dysfunction in writer’s cramp dystonia

    N. Bukhari-Parlakturk, P. Mulcahey, M. Fei, M. Lutz, J. Voyvodic, S. Davis, A. Michael (Durham, USA)

    Objective: The primary objective of this study was to identify brain regions associated with behavioral measures of dystonia in a specific subtype called writer’s cramp…
  • 2024 International Congress

    Two Cases of Moyamoya Syndrome-Associated Chorea and Dystonia

    M. Qureshi, S. Radmard (Albany, USA)

    Objective: To report on two cases of mixed movement disorder presentation of chorea and dystonia due to moyamoya syndrome for which one case was successfully…
  • 2024 International Congress

    Temporal prediction in cervical dystonia

    L. Avanzino, A. Botta, M. Putzolu, G. Bonassi, C. Cosentino, S. Mezzarobba, E. Ravizzotti, E. Pelosin, S. Terranova (Genova, Italy)

    Objective: To explore temporal prediction ability as a novel pathophysiological framework in cervical dystonia. Background: The ability to build temporal prediction (TP) is a highly…
  • 2024 International Congress

    Visual Temporal Discrimination Threshold using a Virtual Reality Paradigm in Cervical Dystonia

    SR. Bostan, B. Lim, C. Fearon, R. Reilly (Dublin, Ireland)

    Objective: To develop a Virtual Reality (VR) application to test temporal discrimination thresholds in cervical dystonia patients within an outpatient environment. Background: Temporal discrimination threshold…
  • 2024 International Congress

    Investigating Impaired Perceptual Decision Making in Cervical Dystonia: A novel paradigm integrating Behavioural and Neural measures

    K. Miyauchi, M. Lakhotiya, A. Gill, S. Rafee, C. Fearon, R. Reilly (Dublin, Ireland)

    Objective: This research aimed to develop a paradigm measuring perceptual decision making (PDM) to test the hypothesis of impaired PDM in cervical dystonia patients. Background:…
  • 2023 International Congress

    Metoclopramide-induced acute dystonic reaction caused by CYP2D6 *4/*4 and CYP2D6 *10/*10 genotypes

    I. šarac, H. šarac, F. Borovečki, N. Božina, I. Ivek, L. Bagarić Krakan, Z. Krešić (Zagreb, Croatia)

    Objective: Objective is to demonstrated the role of CYP P450 2D6 polymorphisms in metoclopramide-induced acute dystonic reactions. Background: Metoclopramide can induce acute extrapyramidal reactions by…
  • 2023 International Congress

    Structural MRI Analysis of Basal Ganglia volume and White Matter Tracts in Upper Limb Dystonia

    DD. de Faria, JPQ. de Paiva, AJM. Paulo, VB. Borges, SM. Silva, HB. Ferraz, PMC. Aguiar (São Paulo, Brazil)

    Objective: To evaluate brain structural changes of motor networks and basal ganglia volume in dystonia.To evaluate brain structural changes of motor networks and basal ganglia…
  • 2023 International Congress

    Analysis of functional connectivity using machine learning and deep learning in EEG data from patients with focal dystonia

    C. Alves, A. Paulo, D. de Faria, J. Sato, S. Azevedo Silva, V. Borges, H. Ferraz, F. Rodrigues, C. Thielemann, P. Carvalho Aguiar (Sao Carlos Pinhal, Brazil)

    Objective: To apply a novel machine learning (ML) method to EEG data as a tool for the diagnosis of dystonia, providing a medical interpretation and…
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