Transcranial direct current stimulation in Alzheimer's disease
Sen, Pranay
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https://hdl.handle.net/2142/124454
Description
Title
Transcranial direct current stimulation in Alzheimer's disease
Author(s)
Sen, Pranay
Issue Date
2024-05-02
Director of Research (if dissertation) or Advisor (if thesis)
Aggarwal, Anu
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Tdcs
Alzheimer's Disease
Machine Learning
Regression
Language
eng
Abstract
The focus of this work was to integrate results from the clinical trials related to transcranial direct current stimulation (tDCS) treatment of Alzheimer’s disease (AD) into a machine learning model of the disease to understand the long term impact of the treatment on disease progression over a decade. The three main contributions of this work are: Firstly, this work proposes the extension of otherwise sparse clinical data for tDCS stimulation AD patients to predict patient outcomes over a decade long period. Secondly, it introduces scientific evidence of long-term improvement in AD with tDCS using brain region volume and MMSE score as key metrics. Thirdly, it calculates an optimal tDCS regimen for improvement in cognitive function for patients with AD. This paper synthesizes data from an emerging field of research (tDCS treatment) into general guidelines for best stimulation practices and potential outcomes which can be replicated to other diseases and treatments.
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