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Beta, gamma and High-Frequency Oscillation characterization for targeting in Deep Brain Stimulation procedures

Caracterización beta, gamma y de oscilaciones de alta frecuencia para localización de diana en procedimientos de Estimulación Cerebral Profunda

dc.creatorValderrama-Hincapié, Sarah
dc.creatorRoldán-Vasco, Sebastián
dc.creatorRestrepo-Agudelo, Sebastián
dc.creatorSánchez-Restrepo, Frank
dc.creatorHutchison, William D.
dc.creatorLópez-Ríos, Adriana L.
dc.creatorHernández, Alher Mauricio
dc.date2020-09-15
dc.identifierhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/1564
dc.identifier10.22430/22565337.1564
dc.descriptionDeep 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.en-US
dc.descriptionLa estimulación cerebral profunda (DBS por sus siglas en inglés) ha sido usada exitosamente en el tratamiento de pacientes con enfermedad de Párkinson. La DBS tiene un electrodo que regula la actividad oscilatoria de los ganglios basales involucrados, como el núcleo subtalámico (STN). Un aspecto crítico en el implante de dicho electrodo es la localización precisa de la diana quirúrgica. Esta se realiza mediante imágenes pre-quirúrgicas, marcos estereotácticos y registros de micro-electrodos (MER). Este último permite visualizar la actividad eléctrica de diferentes estructuras a través del recorrido quirúrgico, cada una de ellas con un patrón de variaciones bien definidas en frecuencia; sin embargo, esto dista de ser un método automático o semi-automático que ayude al neurofisiólogo a tomar decisiones en cuanto a la diana quirúrgica. Con el ánimo de contribuir a la automatización, analizamos tres bandas de frecuencias de señales MER adquiridas en 11 pacientes sometidos a DBS: beta (13-40 Hz), gamma (40-200 Hz) y oscilaciones de alta frecuencia (HFO – 201-400 Hz). Se propusieron y evaluaron 5 índices para detectar el STN: variaciones de parámetros auto-regresivos y su derivada a lo largo del recorrido quirúrgico, la energía de cada banda a partir de la densidad espectral de potencia mediante el método de Yule-Walker, la relación de frecuencias altas a bajas y su derivada. Encontramos que la derivada de un parámetro de la banda beta y la relación alta-bajas de las bandas HFO/gamma alcanzaron errores en la localización del STN, similares a los reportados en la literatura (<2mm). Aunque los índices propuestos son sencillos de calcular y de fácil implementación en tiempo real, se deben seguir explorando para incrementar la capacidad de generalización de los resultados obtenidos.es-ES
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dc.languageeng
dc.publisherInstituto Tecnológico Metropolitano (ITM)en-US
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/1564/1698
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/1564/1759
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/1564/1780
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dc.rightsCopyright (c) 2020 TecnoLógicasen-US
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0en-US
dc.sourceTecnoLógicas; Vol. 23 No. 49 (2020); 11-32en-US
dc.sourceTecnoLógicas; Vol. 23 Núm. 49 (2020); 11-32es-ES
dc.source2256-5337
dc.source0123-7799
dc.subjectDeep Brain Stimulationen-US
dc.subjectmicroelectrode recordingen-US
dc.subjectbiomedical signal processingen-US
dc.subjectParkinson’s diseaseen-US
dc.subjectsubthalamic nucleusen-US
dc.subjectEstimulación Cerebral Profundaes-ES
dc.subjectregistro con micro-electrodoses-ES
dc.subjectprocesamiento de señales biomédicases-ES
dc.subjectenfermedad de Párkinsones-ES
dc.subjectnúcleo subtalámicoes-ES
dc.titleBeta, gamma and High-Frequency Oscillation characterization for targeting in Deep Brain Stimulation proceduresen-US
dc.titleCaracterización beta, gamma y de oscilaciones de alta frecuencia para localización de diana en procedimientos de Estimulación Cerebral Profundaes-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeResearch Papersen-US
dc.typeArtículos de investigaciónes-ES


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