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Fusion of microelectrode neuronal recordings and MRI landmarks for automatic atlas fitting in deep brain stimulation surgery

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F18%3A10383220" target="_blank" >RIV/00064165:_____/18:10383220 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21230/18:00325455 RIV/00216208:11110/18:10383220

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-030-01201-4_19" target="_blank" >http://dx.doi.org/10.1007/978-3-030-01201-4_19</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-01201-4_19" target="_blank" >10.1007/978-3-030-01201-4_19</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fusion of microelectrode neuronal recordings and MRI landmarks for automatic atlas fitting in deep brain stimulation surgery

  • Original language description

    The deep brain stimulation (DBS) is a symptomatic treatment technique used mainly for movement disorders, consisting of chronic electrical stimulation of subcortical structures. To achieve very precise electrode implantation, which is necessary for a good clinical outcome, many surgical teams use electrophysiological recording around the assumed target, planned in pre-operative MRI images. In our previous work, we developed a probabilistic model to fit a 3D anatomical atlas of the subthalamic nucleus to the recorded microelectrode activity in Parkinson&apos;s disease (PD) patients. In this paper, we extend the model to incorporate characteristic landmarks of the target nucleus, manually annotated in pre-operative MRI data. We validate the approach on a set of 27 exploration five-electrode trajectories from 15 PD patients. The results show that such combined approach may lead to a vast improvement in optimization reliability, while maintaining good fit to the electrophysiology data. The combination of electrophysiology and MRI-based data thus provides a promising approach for compensating brain shift, occuring during the surgery and achieving accurate localization of recording sites in DBS surgery.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    30103 - Neurosciences (including psychophysiology)

Result continuities

  • Project

    <a href="/en/project/GA16-13323S" target="_blank" >GA16-13323S: MIcro and MAcro Connectomics of the Subthalamic nucleus in humans: impact of neuromodulation and dopamine depletion</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis

  • ISBN

    978-3-030-01200-7

  • ISSN

    0302-9743

  • e-ISSN

    neuvedeno

  • Number of pages

    9

  • Pages from-to

    175-183

  • Publisher name

    Springer Verlag

  • Place of publication

    Berlin

  • Event location

    Granada, Spain

  • Event date

    Sep 16, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article