ArticleJournal of neuroscience methods2018
ALICE: A tool for automatic localization of intra-cranial electrodes for clinical and high-density grids.
Article in Journal of neuroscience methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04479410 (Efficient Automated Localization of ECoG Electrodes in CT Images Via Shape Analysis), which is not on this map. Cited by 31 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Efficient Automated Localization of ECoG Electrodes in CT Images Via Shape Analysis
Who cites it
31 citing papers in PubMed.
- Optimal Size of Electrocorticography Grids for Classification of Hand Movements.Neuroinformatics · 2026Article
- Association between motor cortex grey matter loss and inability to control an ECoG-based implanted Brain-Computer Interface in ALS.medRxiv : the preprint server for health sciences · 2026Article
- Article
- BrainTRACE (Brain Tumor Registration and Cortical Electrocorticography): A novel tool for localizing electrocorticography electrodes in patients with brain tumors.Journal of neuroscience methods · 2025Article
- Don't put words in my mouth: speech perception can falsely activate a brain-computer interface.Journal of neuroengineering and rehabilitation · 2025Article
- Anatomical registration of intracranial electrodes. Robust model-based localization and deformable smooth brain-shift compensation methods.Journal of neuroscience methods · 2024Review
- YAEL: Your Advanced Electrode Localizer.eNeuro · 2023Article
- Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models.Journal of neural engineering · 2023Article
- Methodological Recommendations for Studies on the Daily Life Implementation of Implantable Communication-Brain-Computer Interfaces for Individuals With Locked-in Syndrome.Neurorehabilitation and neural repair · 2022Article
- Advances in human intracranial electroencephalography research, guidelines and good practices.NeuroImage · 2022Review
- FMRI and intra-cranial electrocorticography recordings in the same human subjects reveals negative BOLD signal coupled with silenced neuronal activity.Brain structure & function · 2022Article
- Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film.Scientific data · 2022Article
- Modeling intracranial electrodes. A simulation platform for the evaluation of localization algorithms.Frontiers in neuroinformatics · 2022Article
- Size of the spatial correlation between ECoG and fMRI activity.NeuroImage · 2021Article
- Decoding four hand gestures with a single bipolar pair of electrocorticography electrodes.Journal of neural engineering · 2021Article
- Efficient automated localization of ECoG electrodes in CT images via shape analysis.International journal of computer assisted radiology and surgery · 2021Article
- A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources.Human brain mapping · 2021Article
- LeGUI: A Fast and Accurate Graphical User Interface for Automated Detection and Anatomical Localization of Intracranial Electrodes.Frontiers in neuroscience · 2021Article
- High-density intracranial recordings reveal a distinct site in anterior dorsal precentral cortex that tracks perceived speech.Human brain mapping · 2020Article
- Electrocorticography Evidence of Tactile Responses in Visual Cortices.Brain topography · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundElectrocorticographic (ECoG) measurements require the accurate localization of implanted electrodes with respect to the subject's neuroanatomy. Electrode localization is particularly relevant to associate structure with function. Several procedures have attempted to solve this problem, namely by co-registering a post-operative computed tomography (CT) scan, with a pre-operative magnetic resonance imaging (MRI) anatomy scan. However, this type of procedure requires a manual and time-consuming detection and transcription of the electrode coordinates from the CT volume scan and restricts the extraction of smaller high-resolution ECoG grid electrodes due to the downsampling of the CT. NEW
methodALICE automatically detects electrodes on the post-operative high-resolution CT scan, visualizes them in a combined 2D and 3D volume space using AFNI and SUMA software and then projects the electrodes on the individual's cortical surface rendering. The pipeline integrates the multiple-step method into a user-friendly GUI in Matlab
resultsALICE was validated in 13 subjects implanted with clinical ECoG grids by comparing the calculated electrode center-of-mass coordinates with those computed using a commonly used method. COMPARISON WITH EXISTING
methodsA novel aspect of ALICE is the combined 2D-3D visualization of the electrodes on the CT scan and the option to also detect high-density ECoG grids. Feasibility was shown in 5 subjects and validated for 2 subjects.
conclusionsThe ALICE pipeline provides a fast and accurate detection, discrimination and localization of ECoG electrodes spaced down to 4 mm apart.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.