Evidence map›Paper›PMID 38025277›Full record

ArticleBrain communications2023

Optimization of patient-specific stereo-EEG recording sensitivity.

Grace E Dessert, Brandon J Thio, Warren M Grill

Abstract read
In one paragraph

Article in Brain communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Grace E DessertDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.ORCID https://orcid.org/0000-0003-4017-4147
Brandon J ThioDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Warren M GrillDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.ORCID https://orcid.org/0000-0001-5240-6588

Funding

Computational Tools for Improving Stereo-EEG Implantation and Resection SurgeryF31NS124094 · NINDS · DUKE UNIVERSITY · PI THIO, BRANDON JOON-SUN · 2022 to 2023
$73k
NINDS NIH HHS F31 NS124094
6 · The paper itself

Abstract

Stereo-EEG is a minimally invasive technique used to localize the origin of epileptic activity (the epileptogenic zone) in patients with drug-resistant epilepsy. However, current stereo-EEG trajectory planning methods are agnostic to the spatial recording sensitivity of implanted electrodes. In this study, we used image-based patient-specific computational models to design optimized stereo-EEG electrode configurations. Patient-specific optimized electrode configurations exhibited substantially higher recording sensitivity than clinically implanted configurations, and this may lead to a more accurate delineation of the epileptogenic zone. The optimized configurations also achieved equally good or better recording sensitivity with fewer electrodes compared with clinically implanted configurations, and this may reduce the risk for complications, including intracranial haemorrhage. This approach improves localization of the epileptogenic zone by transforming the clinical use of stereo-EEG from a discrete

Indexed as

computational modellingdipolesinterictal spikestereo-electroencephalography (sEEG)

Identifiers

PMID38025277
PMCPMC10655844

What OpenQuestion holds

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Registered trials

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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.