Beta, gamma and High-Frequency Oscillation characterization for targeting in Deep Brain Stimulation procedures
Deep Brain Stimulation (DBS) has been successfully used to treat patients with Parkinson’s Disease. DBS employs an electrode that regulates the oscillatory activity of the basal ganglia, such as the subthalamic nucleus (STN). A critical point during the surgical implantation of such electrode is the...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Instituto Tecnológico Metropolitano
2020-09-01
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| Series: | TecnoLógicas |
| Subjects: | |
| Online Access: | https://revistas.itm.edu.co/index.php/tecnologicas/article/view/1564 |
| _version_ | 1828190546899763200 |
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| author | Sarah Valderrama-Hincapié Sebastián Roldán-Vasco Sebastián Restrepo-Agudelo Frank Sánchez-Restrepo William D. Hutchison Adriana L. López-Ríos Alher Mauricio Hernández |
| author_facet | Sarah Valderrama-Hincapié Sebastián Roldán-Vasco Sebastián Restrepo-Agudelo Frank Sánchez-Restrepo William D. Hutchison Adriana L. López-Ríos Alher Mauricio Hernández |
| author_sort | Sarah Valderrama-Hincapié |
| collection | DOAJ |
| description | Deep Brain Stimulation (DBS) has been successfully used to treat patients with Parkinson’s Disease. DBS employs an electrode that regulates the oscillatory activity of the basal ganglia, such as the subthalamic nucleus (STN). A critical point during the surgical implantation of such electrode is the precise localization of the target. This is done using presurgical images, stereotactic frames, and microelectrode recordings (MER). The latter allows neurophysiologists to visualize the electrical activity of different structures along the surgical track, each of them with well-defined variations in the frequency pattern; however, this is far from an automatic or semi-automatic method to help these specialists make decisions concerning the surgical target. To pave the way to automation, we analyzed three frequency bands in MER signals acquired from 11 patients undergoing DBS: beta (13-40 Hz), gamma (40-200 Hz), and high-frequency oscillations (HFO – 201-400 Hz). In this study, we propose and assess five indexes in order to detect the STN: variations in autoregressive parameters and their derivative along the surgical track, the energy of each band calculated using the Yule-Walker power spectral density, the high-to-low (H/L) ratio, and its derivative. We found that the derivative of one parameter of the beta band and the H/L ratio of the HFO/gamma bands produced errors in STN targeting like those reported in the literature produced by image-based methods (<2 mm). Although the indexes introduced here are simple to compute and could be applied in real time, further studies must be conducted to be able to generalize their results. |
| first_indexed | 2024-04-12T08:24:21Z |
| format | Article |
| id | doaj.art-5d07420628fc422b8e885b79a205d69d |
| institution | Directory Open Access Journal |
| issn | 0123-7799 2256-5337 |
| language | English |
| last_indexed | 2024-04-12T08:24:21Z |
| publishDate | 2020-09-01 |
| publisher | Instituto Tecnológico Metropolitano |
| record_format | Article |
| series | TecnoLógicas |
| spelling | doaj.art-5d07420628fc422b8e885b79a205d69d2022-12-22T03:40:26ZengInstituto Tecnológico MetropolitanoTecnoLógicas0123-77992256-53372020-09-012349113210.22430/22565337.15641564Beta, gamma and High-Frequency Oscillation characterization for targeting in Deep Brain Stimulation proceduresSarah Valderrama-Hincapié0Sebastián Roldán-Vasco1Sebastián Restrepo-Agudelo2Frank Sánchez-Restrepo3William D. Hutchison4Adriana L. López-Ríos5Alher Mauricio Hernández6Universidad de Antioquia, ColombiaInstituto Tecnológico Metropolitano, ColombiaInstituto Tecnológico Metropolitano, ColombiaUniversidad de Antioquia, ColombiaUniversity of Toronto, CanadáHospital Universitario San Vicente Fundación , ColombiaUniversidad de Antioquia, ColombiaDeep Brain Stimulation (DBS) has been successfully used to treat patients with Parkinson’s Disease. DBS employs an electrode that regulates the oscillatory activity of the basal ganglia, such as the subthalamic nucleus (STN). A critical point during the surgical implantation of such electrode is the precise localization of the target. This is done using presurgical images, stereotactic frames, and microelectrode recordings (MER). The latter allows neurophysiologists to visualize the electrical activity of different structures along the surgical track, each of them with well-defined variations in the frequency pattern; however, this is far from an automatic or semi-automatic method to help these specialists make decisions concerning the surgical target. To pave the way to automation, we analyzed three frequency bands in MER signals acquired from 11 patients undergoing DBS: beta (13-40 Hz), gamma (40-200 Hz), and high-frequency oscillations (HFO – 201-400 Hz). In this study, we propose and assess five indexes in order to detect the STN: variations in autoregressive parameters and their derivative along the surgical track, the energy of each band calculated using the Yule-Walker power spectral density, the high-to-low (H/L) ratio, and its derivative. We found that the derivative of one parameter of the beta band and the H/L ratio of the HFO/gamma bands produced errors in STN targeting like those reported in the literature produced by image-based methods (<2 mm). Although the indexes introduced here are simple to compute and could be applied in real time, further studies must be conducted to be able to generalize their results.https://revistas.itm.edu.co/index.php/tecnologicas/article/view/1564deep brain stimulationmicroelectrode recordingbiomedical signal processingparkinson’s diseasesubthalamic nucleus |
| spellingShingle | Sarah Valderrama-Hincapié Sebastián Roldán-Vasco Sebastián Restrepo-Agudelo Frank Sánchez-Restrepo William D. Hutchison Adriana L. López-Ríos Alher Mauricio Hernández Beta, gamma and High-Frequency Oscillation characterization for targeting in Deep Brain Stimulation procedures TecnoLógicas deep brain stimulation microelectrode recording biomedical signal processing parkinson’s disease subthalamic nucleus |
| title | Beta, gamma and High-Frequency Oscillation characterization for targeting in Deep Brain Stimulation procedures |
| title_full | Beta, gamma and High-Frequency Oscillation characterization for targeting in Deep Brain Stimulation procedures |
| title_fullStr | Beta, gamma and High-Frequency Oscillation characterization for targeting in Deep Brain Stimulation procedures |
| title_full_unstemmed | Beta, gamma and High-Frequency Oscillation characterization for targeting in Deep Brain Stimulation procedures |
| title_short | Beta, gamma and High-Frequency Oscillation characterization for targeting in Deep Brain Stimulation procedures |
| title_sort | beta gamma and high frequency oscillation characterization for targeting in deep brain stimulation procedures |
| topic | deep brain stimulation microelectrode recording biomedical signal processing parkinson’s disease subthalamic nucleus |
| url | https://revistas.itm.edu.co/index.php/tecnologicas/article/view/1564 |
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