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

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Articles tagged "Bradykinesia"

  • 2023 International Congress

    Familial Parkinson’s: Epidemiological data at Blida University Hospital.

    M. Benmahdjoub, K. Kesraoui, S. Bouchetara, M. Arezki (Blida, Algeria)

    Objective: In Algeria, few epidemiological data published on PD. The objective of this work is to study the epidemiological aspects of familial parkinson (PF) at…
  • 2023 International Congress

    Clinical severity in Parkinson’s disease is determined by decline in cortical compensation

    M. Johansson, I. Toni, R. Kessels, B. Bloem, R. Helmich (Nijmegen, Netherlands)

    Objective: We tested whether inter- and intra-individual differences in clinical severity are determined by cortical compensation, and not just by basal ganglia dysfunction. Background: Motor…
  • 2023 International Congress

    Correlations between bradykinesia and acoustic speech variables in advanced Parkinson’s Disease

    F. Cavallieri, G. Di Rauso, A. Gessani, C. Budriesi, V. Fioravanti, S. Contardi, E. Menozzi, S. Pinto, E. Moro, F. Antonelli, F. Valzania (Reggio Emilia, Italy)

    Objective: To find the presence of possible correlations between upper extremity bradykinesia and speech variables in different medication conditions in a cohort of advanced Parkinson’s…
  • 2023 International Congress

    Controlled-release zolpidem improves freezing of gait and levodopa-induced dyskinesias in a patient with Parkinson’s disease.

    P. Barbosa, E. Fonoff, MG. Ghilardi (Sao Paulo, Brazil)

    Objective: To report a patient with Parkinson’s disease with freezing of gait and levodopa-induced dyskinesias who improved with zolpidem. Background: A 57-year-old man developed Parkinson’s…
  • 2023 International Congress

    Relationship between bradykinesia and cognitive functions in patients with essential tremor

    G. Paparella, L. Angelini, R. Margiotta, A. Cannavacciuolo, D. Costa, D. Birreci, M. de Riggi, M. Passaretti, D. Alunni Fegatelli, A. Berardelli, M. Bologna (Pozzilli, Italy)

    Objective: To investigate the association between bradykinesia, i.e., movement slowness, as objectively assessed with kinematic analysis, and cognitive functions in ET. Background: Bradykinesia in essential…
  • 2023 International Congress

    Axial impairment and bradykinesia are related to increased CSF sTREM2, a neuroinflammation biomarker, in Parkinson’s disease

    A. Brück, R. Ajalin, H. Al-Abdulrasul, H. Zetterberg, K. Blennow, E. Löyttyniemi, J. Rinne (Turku, Finland)

    Objective: To explore the association between Parkinson’s disease (PD) motor symptoms and CSF biomarkers for neuroinflammation and neurodegeneration. Background: Previous in vivo and post mortem…
  • 2023 International Congress

    Risk Factors for Stimulation-Induced Bradykinesia in Dystonia Patients Treated with Deep Brain Stimulation: A Retrospective Analysis.

    F. Lange, B. Karandasch, P. Mahlknecht, J. Kraus, A. Kühn, G. Deuschl, J. Volkmann, M. Reich (Würzburg, Germany)

    Objective: Identification of risk factors for stimulation-induced bradykinesia in GPi-DBS Background: Deep brain stimulation (DBS) is an effective treatment for dystonia, but some patients may…
  • 2022 International Congress

    Neurophysiological Assessment of Juvenile Parkinsonism due to Primary Monoamine Neurotransmitters Disorders

    M. Passaretti, L. Pollini, G. Paparella, A. de Biase, D. Colella, S. Galosi, F. Manti, A. Guerra, V. Leuzzi, A. Berardelli, M. Bologna (Rome, Italy)

    Objective: No previous studies investigated voluntary movements abnormalities and their neurophysiological correlates in primary monoamine neurotransmitters (NT) disorders. Background: Juvenile parkinsonism is a rare condition…
  • 2022 International Congress

    Deep learning to distinguish Parkinson’s from controls in video, without human-defined measures

    J. Yang, S. Williams, D. Hogg, J. Alty, S. Relton ()

    Objective: We aimed to apply a deep learning neural network directly to video of finger tapping, without human-defined measures or features, for a computer to…
  • 2022 International Congress

    Computer vision can detect changes in bradykinesia associated with dopaminergic state in Parkinson’s disease

    JF. Martín-Rodríguez, S. Camba Fernandez, D. Rodriguez Gordo, S. Garcia-Ojeda, B. Benitez Zamora, L. Muñoz-Delgado, F. Carrillo, P. Mir (Sevilla, Spain)

    Objective: To evaluate the classification accuracy of a computer vision-based feature extraction and classifier method to detect changes in finger tap bradykinesia associated with dopaminergic…
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