Paper Info
Title
A neurocomputational model of dopamine dependent finger tapping task
Abstract
One of the main disabling features of Parkinson's disease (PD) is bradykinesia. Usually, bradykinesia is clinically assessed through the performance of an extremely simple motor task: the finger tapping task. This motor test correlates with the extent of loss of dopaminergic neurons in the substantia nigra, which is responsible for the triggering of Parkinson's disease (PD) and for the subsequent lack of dopamine (DA) typical of the disease. Therefore, this simple task provides useful information on the state and on the progression of PD. The present study aims at quantifying the connection between DA levels and finger tapping performances by means of a biologically inspired neurocomputational model, which investigates in detail the neural circuitry altered in PD and links the observed output (the finger tapping performance) to the different DA levels included in the model.
Year
DOI
Venue
2016
10.1109/RTSI.2016.7740581
2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI)
Keywords
Field
DocType
neurocomputational model,dopamine dependent finger tapping task,Parkinson's disease,bradykinesia,simple motor task,dopaminergic neurons,substantia nigra,PD progression,neural circuitry
Neuroscience,Motor test,Dopaminergic,Dopamine,Substantia nigra,Tapping,Artificial intelligence,Transient analysis,Biological neural network,Medicine
Conference
ISBN
Citations 
PageRank 
978-1-5090-1132-2
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Chiara Baston120.73
M. Ursino211113.13