Decoding movement states in stepping cycles based on subthalamic LFPs in Parkinsonian patients
Gait disturbances are a prominent feature of Parkinson's disease (PD), often refractory to medication or continuous deep brain stimulation (DBS) on basal ganglia targets such as the subthalamic nucleus (STN). Here we sought to identify movement states during stepping cycles, such as left leg st...
| Auteurs principaux: | , , , , , |
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| Format: | Journal article |
| Langue: | English |
| Publié: |
Institute of Electrical and Electronics Engineers
2018
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| _version_ | 1826304770523004928 |
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| author | Tan, H Fischer, P Shah, SA Vidaurre, D Woolrich, MW Brown, P |
| author_facet | Tan, H Fischer, P Shah, SA Vidaurre, D Woolrich, MW Brown, P |
| author_sort | Tan, H |
| collection | OXFORD |
| description | Gait disturbances are a prominent feature of Parkinson's disease (PD), often refractory to medication or continuous deep brain stimulation (DBS) on basal ganglia targets such as the subthalamic nucleus (STN). Here we sought to identify movement states during stepping cycles, such as left leg stance and right leg stance. To this end we analyzed local field potential (LFP) activity in STN using a combination of the multivariate autoregressive (MAR) model and the Hidden Markov model (HMM). Our results confirm that information is present in the STN related to movement states in stepping cycles, and that it is feasible to decode movement states based on STN LFPs recorded from DBS electrodes. This information can be used to implement temporally flexible stimulation strategies in order to facilitate patterns of neural modulation associated with better gait performance. |
| first_indexed | 2024-03-07T06:22:49Z |
| format | Journal article |
| id | oxford-uuid:f33e7da5-dc59-4bdc-b4f6-6f20d63f29ee |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T06:22:49Z |
| publishDate | 2018 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | oxford-uuid:f33e7da5-dc59-4bdc-b4f6-6f20d63f29ee2022-03-27T12:10:43ZDecoding movement states in stepping cycles based on subthalamic LFPs in Parkinsonian patientsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:f33e7da5-dc59-4bdc-b4f6-6f20d63f29eeEnglishSymplectic Elements at OxfordInstitute of Electrical and Electronics Engineers2018Tan, HFischer, PShah, SAVidaurre, DWoolrich, MWBrown, PGait disturbances are a prominent feature of Parkinson's disease (PD), often refractory to medication or continuous deep brain stimulation (DBS) on basal ganglia targets such as the subthalamic nucleus (STN). Here we sought to identify movement states during stepping cycles, such as left leg stance and right leg stance. To this end we analyzed local field potential (LFP) activity in STN using a combination of the multivariate autoregressive (MAR) model and the Hidden Markov model (HMM). Our results confirm that information is present in the STN related to movement states in stepping cycles, and that it is feasible to decode movement states based on STN LFPs recorded from DBS electrodes. This information can be used to implement temporally flexible stimulation strategies in order to facilitate patterns of neural modulation associated with better gait performance. |
| spellingShingle | Tan, H Fischer, P Shah, SA Vidaurre, D Woolrich, MW Brown, P Decoding movement states in stepping cycles based on subthalamic LFPs in Parkinsonian patients |
| title | Decoding movement states in stepping cycles based on subthalamic LFPs in Parkinsonian patients |
| title_full | Decoding movement states in stepping cycles based on subthalamic LFPs in Parkinsonian patients |
| title_fullStr | Decoding movement states in stepping cycles based on subthalamic LFPs in Parkinsonian patients |
| title_full_unstemmed | Decoding movement states in stepping cycles based on subthalamic LFPs in Parkinsonian patients |
| title_short | Decoding movement states in stepping cycles based on subthalamic LFPs in Parkinsonian patients |
| title_sort | decoding movement states in stepping cycles based on subthalamic lfps in parkinsonian patients |
| work_keys_str_mv | AT tanh decodingmovementstatesinsteppingcyclesbasedonsubthalamiclfpsinparkinsonianpatients AT fischerp decodingmovementstatesinsteppingcyclesbasedonsubthalamiclfpsinparkinsonianpatients AT shahsa decodingmovementstatesinsteppingcyclesbasedonsubthalamiclfpsinparkinsonianpatients AT vidaurred decodingmovementstatesinsteppingcyclesbasedonsubthalamiclfpsinparkinsonianpatients AT woolrichmw decodingmovementstatesinsteppingcyclesbasedonsubthalamiclfpsinparkinsonianpatients AT brownp decodingmovementstatesinsteppingcyclesbasedonsubthalamiclfpsinparkinsonianpatients |