MDS Abstracts

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

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  • 2018 International Congress

    The clinical characteristics and cognitive features of mild cognitive impairment in Parkinson’s disease and analysis of relevant factors

    K. Nie, Y. Gao, M. Mei, M. Guo, Z. Huang, L. Wang, J. Zhao, Y. Zhang, L. Wang (Guangzhou, China)

    Objective: To investigate the clinical characteristics, cognitive impairment features, and subgroup types of Parkinson’s disease (PD) patients with mild cognitive impairment and to analyze relevant…
  • 2018 International Congress

    Reproductive factors influence on cognitive function of Parkinson’s disease in female patients-from a cross-sectional study

    Y. Wu, H. Liu, R.W. Ou, Q.Q. Wei, H.F. Shang (Chengdu, People’s Republic of China)

    Objective: To explore the relationship between the female reproductive factors and cognitive decline/dementia with PD Background: Cognitive dysfunction was the common non-motor features of Parkinson’s…
  • 2018 International Congress

    Biomarkers of rapid progression of cognitive decline in Parkinson’s disease

    S. Martinez-Horta, F. Sampedro, J. Pagonabarraga, J. Marin-Lahoz, A. Horta-Barba, H. Bejr-Kasem, I. Aracil, J. Perez-Perez, MA. Boti, J. Kulisevsky. (Barcelona, Spain)

    Objective: We aimed to explore cross-sectional grey-matter volume (GMV) and CSF biomarkers differences in PD patients exhibiting a rapid progression of cognitive decline compared to…
  • 2018 International Congress

    Clinical phenotype analysis of Parkinson’s disease associated with LRRK2 variants in Chinese Han population

    C. Gu, K. Li, J. Zhang, H. Jin, Y. Ge, C. Liu (Suzhou, China)

    Objective: Our study aimed to compare motor and non-motor symptoms, imaging features and molecular markers of patients with Parkinson’s disease (PD) who are carriers of…
  • 2018 International Congress

    Comparison of thermal sensation and pain thresholds in LRRK2 carriers and non carriers with Parkinson’s disease

    A. Khlebtovsky, Y. Roditi, R. Djaldetti (Petach Tikva, Israel)

    Objective: To compare between clinical findings and quantitative sensory testing (QST) data in patients with Parkinson's disease (PD) positive and negative for mutations in LRKK2.…
  • 2018 International Congress

    Acid sphingomyelinase deficiency rescues mitochondrial dysfunction in gba-/- zebrafish (Danio rerio)

    M. Keatinge, L. Trollope, H. Mortiboys, O. Bandmann (Sheffield, United Kingdom)

    Objective: To determine the interaction between glucocerebrosidase deficiency and acid sphingomyelinase deficiency in a tractable vertebrate model system of Parkinson's disease. Background: Heterozygous glucocerebrosidase (GBA)…
  • 2018 International Congress

    Tef polymorphism predicts the decline of sleep disturbances in Parkinson’s disease

    P. Hua, W. Liu (Nanjing, China)

    Objective: Circadian dysfunction may contribute to the etiology of motor and non-motor symptoms of Parkinson’s disease (PD). The influence of polymorphisms of Cry1 rs2287161, Cry2…
  • 2018 International Congress

    eEF1A2 and Prdx1 as possible new targets for Parkinson’s disease therapeutics

    W. Wirakiat, P. Dharmasaroja (Bangkok, Thailand)

    Objective: We investigated expression of eEF1A2 and Prdx1 in differentiated SH-SY5Y cells in searching for possible new targets for Parkinson’s disease treatment. Background: Parkinson’s disease…
  • 2018 International Congress

    Investigating the influence of alpha-synuclein promoter (Rep1) polymorphism on cognition, disability and plasma alpha-synuclein levels in Parkinson’s disease

    YJ. Tan, Y. Zhao, ZH. Lu, S. Ng, E. Ng, F. Setiawan, WL. Au, EK. Tan, L. Tan, A. Ng (Singapore, Singapore)

    Objective: We sought to investigate the relationship between SNCA Rep1 allele length and cognitive, motor and disability scores in PD, as well with plasma alpha-synuclein…
  • 2018 International Congress

    Automated Differential Diagnosis of Parkinsonian Syndromes Using FDG-PET Metabolic Brain Network Analysis

    T. Rus, P. Tomše, L. Jensterle, M. Grmek, Z. Pirtošek, D. Eidelberg, C. Tang, M. Trošt (Ljubljana, Slovenia)

    Objective: To discriminate among parkinsonian patients using an automated network analysis of FDG-PET brain images. Background: Clinical differentiating among parkinsonian syndromes: Parkinson’s disease (PD), multiple…
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