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Identification of an early-stage Parkinson's disease neuromarker using event-related potentials, brain network analytics and machine-learning.

Sharon Hassin-BaerOren S CohenSimon Israeli-KornGilad YahalomSandra BenizriDaniel SandGil IssacharAmir B GevaRevital Shani-HershkovichZiv Peremen
Published in: PloS one (2022)
This pilot study found that BNA can identify patients with early PD using an advanced analysis of ERPs. These results need to be validated in a larger PD patient sample and assessed for people with premotor phase of PD.
Keyphrases
  • early stage
  • machine learning
  • big data
  • resting state
  • artificial intelligence
  • squamous cell carcinoma
  • functional connectivity
  • sentinel lymph node
  • lymph node