Precise Electrode Co-Alignment in Deep Brain Stimulation Fusing Neuroimaging and Electrophysiology

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378050%3A_____%2F25%3A00643720" target="_blank" >RIV/68378050:_____/25:00643720 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21230/25:00388062 RIV/00023752:_____/25:43921645 RIV/00216208:11110/25:10506533 RIV/00064165:_____/25:10506533

Výsledek na webu

<a href="https://doi.org/10.1111/ejn.70309" target="_blank" >https://doi.org/10.1111/ejn.70309</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/ejn.70309" target="_blank" >10.1111/ejn.70309</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Precise Electrode Co-Alignment in Deep Brain Stimulation Fusing Neuroimaging and Electrophysiology

Popis výsledku v původním jazyce

We present a multimodal framework to improve the precision of electrode placement in deep brain stimulation (DBS) by fusing preoperative neuroimaging with intraoperative electrophysiology for accurate electrode co-alignment. The workflow integrates automated subthalamic nucleus (STN) segmentation from preoperative MRI using a two-step convolutional neural network (CNN), classification of microelectrode recordings (MER) with a transformer encoder and spatial co-alignment via a discrete optimisation procedure. Implemented as a 3D Slicer plugin, the pipeline enables real-time visualisation and interactive use during surgery. In validation on retrospective data of 17 trajectories from 12 Parkinson's disease patients, co-alignment reduced the mean lateral localisation error by 0.3 mm relative to an intraoperative reference, indicating improved agreement between electrophysiological and anatomical targets. Automated STN segmentation achieved a Dice similarity of 0.62 +/- 0.10, providing a robust starting point for manual refinement. This approach improves the understanding of electrode position within STN during surgery, incorporating preoperative and intraoperative data, offers clinicians a practical, real-time tool to enhance targeting accuracy. By directly integrating imaging and MER evidence, the framework addresses persistent challenges in DBS and represents a step toward more personalised and precise neurosurgical interventions.

Název v anglickém jazyce

Precise Electrode Co-Alignment in Deep Brain Stimulation Fusing Neuroimaging and Electrophysiology

Popis výsledku anglicky

We present a multimodal framework to improve the precision of electrode placement in deep brain stimulation (DBS) by fusing preoperative neuroimaging with intraoperative electrophysiology for accurate electrode co-alignment. The workflow integrates automated subthalamic nucleus (STN) segmentation from preoperative MRI using a two-step convolutional neural network (CNN), classification of microelectrode recordings (MER) with a transformer encoder and spatial co-alignment via a discrete optimisation procedure. Implemented as a 3D Slicer plugin, the pipeline enables real-time visualisation and interactive use during surgery. In validation on retrospective data of 17 trajectories from 12 Parkinson's disease patients, co-alignment reduced the mean lateral localisation error by 0.3 mm relative to an intraoperative reference, indicating improved agreement between electrophysiological and anatomical targets. Automated STN segmentation achieved a Dice similarity of 0.62 +/- 0.10, providing a robust starting point for manual refinement. This approach improves the understanding of electrode position within STN during surgery, incorporating preoperative and intraoperative data, offers clinicians a practical, real-time tool to enhance targeting accuracy. By directly integrating imaging and MER evidence, the framework addresses persistent challenges in DBS and represents a step toward more personalised and precise neurosurgical interventions.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10608 - Biochemistry and molecular biology

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

European Journal of Neuroscience

ISSN

0953-816X

e-ISSN

1460-9568

Svazek periodika

62

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

12

Strana od-do

e70309

Kód UT WoS článku

001628117400017

EID výsledku v databázi Scopus

2-s2.0-105022314651