Computational approaches for understanding the diagnosis and treatment of Parkinson's disease

TY - JOUR

T1 - Computational approaches for understanding the diagnosis and treatment of Parkinson's disease

AU - Smith, Stephen L

AU - Lones, Michael A

AU - Bedder, Matthew

AU - Alty, Jane E

AU - Cosgrove, Jeremy

AU - Maguire, Richard J

AU - Pownall, Mary Elizabeth

AU - Ivanoiu, Diana

AU - Lyle, Camille

AU - Cording, Amy

AU - Elliott, Christopher J H

PY - 2015/12

Y1 - 2015/12

N2 - This study describes how the application of evolutionary algorithms (EAs) can be used to study motor function in humans with Parkinson's disease (PD) and in animal models of PD. Human data is obtained using commercially available sensors via a range of non-invasive procedures that follow conventional clinical practice. EAs can then be used to classify human data for a range of uses, including diagnosis and disease monitoring. New results are presented that demonstrate how EAs can also be used to classify fruit flies with and without genetic mutations that cause Parkinson's by using measurements of the proboscis extension reflex. The case is made for a computational approach that can be applied across human and animal studies of PD and lays the way for evaluation of existing and new drug therapies in a truly objective way.

AB - This study describes how the application of evolutionary algorithms (EAs) can be used to study motor function in humans with Parkinson's disease (PD) and in animal models of PD. Human data is obtained using commercially available sensors via a range of non-invasive procedures that follow conventional clinical practice. EAs can then be used to classify human data for a range of uses, including diagnosis and disease monitoring. New results are presented that demonstrate how EAs can also be used to classify fruit flies with and without genetic mutations that cause Parkinson's by using measurements of the proboscis extension reflex. The case is made for a computational approach that can be applied across human and animal studies of PD and lays the way for evaluation of existing and new drug therapies in a truly objective way.

KW - Parkinson disease diagnosis

KW - Parkinson disease treatment

KW - animal models

KW - computational approaches

KW - disease monitoring

KW - drug therapy

KW - evolutionary algorithms

KW - fruit flies

KW - genetic mutations

KW - human data classification

KW - motor function

KW - noninvasive procedures

KW - proboscis extension reflex

KW - sensors

U2 - 10.1049/iet-syb.2015.0030

DO - 10.1049/iet-syb.2015.0030

M3 - Article

C2 - 26577157

VL - 9

SP - 226

EP - 233

JO - IET Systems Biology

JF - IET Systems Biology

IS - 6

ER -