YAEL : Your Advanced Electrode Localizer

Copyright © 2023 Wang et al..

Intracranial electroencephalography (iEEG) provides a unique opportunity to record and stimulate neuronal populations in the human brain. A key step in neuroscience inference from iEEG is localizing the electrodes relative to individual subject anatomy and identified regions in brain atlases. We describe a new software tool, Your Advanced Electrode Localizer (YAEL), that provides an integrated solution for every step of the electrode localization process. YAEL is compatible with all common data formats to provide an easy-to-use, drop-in replacement for problematic existing workflows that require users to grapple with multiple programs and interfaces. YAEL's automatic extrapolation and interpolation functions speed localization, especially important in patients with many implanted stereotactic (sEEG) electrode shafts. The graphical user interface is presented in a web browser for broad compatibility and includes an interactive 3D viewer for easier localization of nearby sEEG contacts. After localization is complete, users may enter or import data into YAEL's 3D viewer to create publication-ready visualizations of electrodes and brain anatomy, including identified brain areas from atlases; the response to experimental tasks measured with iEEG; and clinical measures such as epileptiform activity or the results of electrical stimulation mapping. YAEL is free and open source and does not depend on any commercial software. Installation instructions for Mac, Windows, and Linux are available at https://yael.wiki.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:10

Enthalten in:

eNeuro - 10(2023), 10 vom: 19. Okt.

Sprache:

Englisch

Beteiligte Personen:

Wang, Zhengjia [VerfasserIn]
Magnotti, John F [VerfasserIn]
Zhang, Xiang [VerfasserIn]
Beauchamp, Michael S [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Research Support, N.I.H., Extramural

Anmerkungen:

Date Completed 23.10.2023

Date Revised 10.02.2024

published: Electronic-Print

Citation Status MEDLINE

doi:

10.1523/ENEURO.0328-23.2023

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM363499466