MDS Abstracts

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

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Articles tagged "Olfactory dysfunction"

  • MDS Virtual Congress 2021

    BASELINE OLFACTION TESTING IN PARKINSON’S DISEASE PATIENTS IS CORRELATED WITH LONG-TERM DOPAMINERGIC DENERVATION IN STRIATAL SUB-REGIONS: LONGITUDINAL DATA FROM THE PPMI STUDY.

    C. Koros, A-M. Simitsi, N. Papagiannakis, A. Prentakis, A. Bougea, D. Papadimitriou, R. Antonelou, I. Pachi, E. Angelopoulou, E. Stanitsa, I. Beratis, S. Papageorgiou, M. Stamelou, X. Trapali, L. Stefanis (Athens, Greece)

    Objective: The aim of the current study was to determine whether there are longitudinal differences in dopaminergic denervation of striatal sub-regions [signal reduction in 123I-FP-CIT…
  • MDS Virtual Congress 2021

    Relationship Between Hyposmia and Olfactory Network Connectivity in Patients With Parkinson’s Disease

    L. Pesantez Pacheco, S. Horovitz (Bethesda, USA)

    Objective: To examine resting-state functional Magnetic Resonance Imaging in a group of Parkinson’s Disease patients, used to characterize changes in functional connectivity of the olfactory…
  • MDS Virtual Congress 2021

    Predictive value of UPSIT subsets in prodromal Parkinson disease

    P. Vaswani, J. Morley, D. Jennings, A. Siderowf, K. Marek, P. Investigators (Philadelphia, USA)

    Objective: To assess the predictive value of previously published subsets of the University of Pennsylvania Smell Identification Test (UPSIT) odors for conversion to Parkinson disease…
  • MDS Virtual Congress 2021

    Serial olfactory testing for the diagnosis of prodromal Parkinson disease in the Parkinson Associated Risk Syndrome (PARS) study

    P. Vaswani, J. Morley, D. Jennings, A. Siderowf, K. Marek, P. Investigators (Philadelpiha, USA)

    Objective: To assess whether repeat olfactory testing in initially hyposmic subjects improves prediction of conversion to Parkinson disease (PD). Background: Hyposmia is a common prodromal…
  • MDS Virtual Congress 2021

    Smell dysfunction correlates with severity of motor deficits in H&Y stage-I early onset Parkinson’s disease

    J. Wang, R. Stanford, Q. Yang, L. Spreen, M. Wang, B. Mullen, K. Venkiteswaran, T. Subramanian (Hershey, USA)

    Objective: The objective of this study is to test the hypotheses that: 1) olfactory dysfunction in early stage Parkinson’s disease (PD) is correlated with severity…
  • MDS Virtual Congress 2020

    Olfactory dysfunction and its relationship with clinical features of Parkinson’s disease

    Y.J Zhou, R.C He, Y.W Zhao, XX. Yan, B.S Tang, J.F Guo (Changsha, China)

    Objective: To investigate the reliability of assessing olfactory function of patients with PD by HRS in China and compare other non-motor features between patients with PD…
  • MDS Virtual Congress 2020

    Parkinson Progression Marker Initiative 2.0 – New Science/New Cohorts

    K. Marek, A. Siderowf, T. Simuni, C. Tanner (New Haven, CT, USA)

    Objective: The Parkinson Progression Marker Initiative 2.0 (PPMI 2.0) is a longitudinal, observational, multi-center natural history study to assess progression of clinical features, digital outcomes,…
  • MDS Virtual Congress 2020

    Olfactory impairment in Wilson’s disease

    L.i Chen, X. Wang (Tianjin, China)

    Objective: Olfactory dysfunction is a very common and early sign of many neurodegenerative disorders, but little is known about olfactory dysfunction in Wilson’s disease (WD).…
  • MDS Virtual Congress 2020

    Assessing the screening performance of three abbreviated smell tests in Parkinson’s disease

    G. Goodwin, H. Li, A. Ismail, H. Azevedo, G. Giovannoni, A. Schrag, A. Lees, J. Cuzick, J. Bestwick, S. Auger, A. Noyce (London, United Kingdom)

    Objective: We aimed to: a) determine the effectiveness of two shortened six-item ‘scratch-and-sniff’ smell tests and an alternative novel alginate capsule scent delivery system in…
  • MDS Virtual Congress 2020

    Improving estimation of Parkinson’s disease risk – enhancing the PREDICT-PD algorithm

    J. Bestwick, S. Auger, D. Grosset, S. Kanavou, G. Giovannoni, A. Lees, J. Cuzick, C. Simonet, R. Rees, D. Rack, M. Jitlal, A. Schrag, A. Noyce (London, United Kingdom)

    Objective: To develop and test an enhanced algorithm for the prediction of Parkinson’s disease (PD) risk. Background: The PREDICT-PD algorithm estimates risk of PD using…
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