Analysis of a fourth order model of neural synchrony and applied stimulation using control theory
Deep brain stimulation (DBS) effectively suppresses the pathological neural activity associated with Parkinson's disease, with a parallel improvement in motor symptoms of the disease observed. However, its exact mode of action is not fully understood. This study explores a fourth order computat...
| Main Authors: | , , , |
|---|---|
| Format: | Journal article |
| Language: | English |
| Published: |
2013
|
| _version_ | 1797087687333642240 |
|---|---|
| author | Davidson, C De Paor, A Cagnan, H Lowery, M |
| author_facet | Davidson, C De Paor, A Cagnan, H Lowery, M |
| author_sort | Davidson, C |
| collection | OXFORD |
| description | Deep brain stimulation (DBS) effectively suppresses the pathological neural activity associated with Parkinson's disease, with a parallel improvement in motor symptoms of the disease observed. However, its exact mode of action is not fully understood. This study explores a fourth order computational model of neural synchrony and applied stimulation using established nonlinear control systems theory. A novel method of combining two describing functions is developed, which allows the amplitude of oscillations in the model to be studied as the applied stimulation parameters vary. The theoretical model parameters are fitted to experimental data recorded in a patient with Parkinson's disease for a range of stimulator settings. © 2013 IEEE. |
| first_indexed | 2024-03-07T02:39:14Z |
| format | Journal article |
| id | oxford-uuid:a9dcd04b-11fd-49f7-88c3-38a228014919 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T02:39:14Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | oxford-uuid:a9dcd04b-11fd-49f7-88c3-38a2280149192022-03-27T03:11:15ZAnalysis of a fourth order model of neural synchrony and applied stimulation using control theoryJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a9dcd04b-11fd-49f7-88c3-38a228014919EnglishSymplectic Elements at Oxford2013Davidson, CDe Paor, ACagnan, HLowery, MDeep brain stimulation (DBS) effectively suppresses the pathological neural activity associated with Parkinson's disease, with a parallel improvement in motor symptoms of the disease observed. However, its exact mode of action is not fully understood. This study explores a fourth order computational model of neural synchrony and applied stimulation using established nonlinear control systems theory. A novel method of combining two describing functions is developed, which allows the amplitude of oscillations in the model to be studied as the applied stimulation parameters vary. The theoretical model parameters are fitted to experimental data recorded in a patient with Parkinson's disease for a range of stimulator settings. © 2013 IEEE. |
| spellingShingle | Davidson, C De Paor, A Cagnan, H Lowery, M Analysis of a fourth order model of neural synchrony and applied stimulation using control theory |
| title | Analysis of a fourth order model of neural synchrony and applied stimulation using control theory |
| title_full | Analysis of a fourth order model of neural synchrony and applied stimulation using control theory |
| title_fullStr | Analysis of a fourth order model of neural synchrony and applied stimulation using control theory |
| title_full_unstemmed | Analysis of a fourth order model of neural synchrony and applied stimulation using control theory |
| title_short | Analysis of a fourth order model of neural synchrony and applied stimulation using control theory |
| title_sort | analysis of a fourth order model of neural synchrony and applied stimulation using control theory |
| work_keys_str_mv | AT davidsonc analysisofafourthordermodelofneuralsynchronyandappliedstimulationusingcontroltheory AT depaora analysisofafourthordermodelofneuralsynchronyandappliedstimulationusingcontroltheory AT cagnanh analysisofafourthordermodelofneuralsynchronyandappliedstimulationusingcontroltheory AT lowerym analysisofafourthordermodelofneuralsynchronyandappliedstimulationusingcontroltheory |