DTI Helps to Predict Parkinson’s Patient’s Symptoms Using Data Mining Techniques

  • Artur ChudzikEmail author
  • Artur Szymański
  • Jerzy Paweł Nowacki
  • Andrzej W. Przybyszewski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11432)


Deep Brain Stimulation (DBS) is commonly used to treat, inter alia, movement disorder symptoms in patients with Parkinson’s disease, dystonia or essential tremor. The procedure stimulates a targeted region of the brain through implanted leads that are powered by a device called an implantable pulse generator (IPG). The mentioned targeted region is mainly chosen to be subthalamic nucleus (STN) during most of the operations. STN is a nucleus in the midbrain with a size of 3 mm × 5 mm × 9 mm that consist of parts with different physiological functions. The purpose of the study was to predict Parkinson’s patient’s symptoms defined by Unified Parkinson’s Disease Rating Scale (UPDRS) that may occur after the DBS treatment. Parameters had been obtained from 3DSlicer (Harvard Medical School, Boston, MA), which allowed us to track connections between the stimulated part of STN and the cortex based on the DTI (diffusion tensor imaging).


Subthalamic nucleus UPDRS RSES MRI DTI DBS Parkinson’s disease Data mining 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Polish-Japanese Academy of Information TechnologyWarsawPoland
  2. 2.Department of NeurologyUniversity of Massachusetts Medical SchoolWorcesterUSA

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