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

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...

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Bibliographic Details
Published inIntelligent Information and Database Systems Vol. 11432; pp. 615 - 623
Main Authors Chudzik, Artur, Szymański, Artur, Nowacki, Jerzy Paweł, Przybyszewski, Andrzej W.
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2019
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
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Summary: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).
ISBN:9783030148010
3030148017
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-030-14802-7_53