Evidence map›Paper›PMID 38222047›Full record

ArticleNeuro-oncology practice2024

Intraoperative language mapping guided by real-time visualization of gamma band modulation electrocorticograms: Case report and proof of concept.

Kyle R Noll, Priscella Asman, Israt Tasnim, Matthew Hall, Katherine Connelly, Chandra Swamy, Chibawanye Ene, Sudhakar Tummala, Roxana M Grasu, Ho-Ling Liu and 7 more

Open access · greenAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuro-oncology practice, 2024. 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
0.2field-weighted citation impact, top 50% of its field
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 citations in OpenAlex.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 2 institutions in 1 country.

Kyle R NollDepartment of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-7105-1900
Priscella AsmanDepartment of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Israt TasnimDepartment of Biomedical Engineering, University of Houston, Houston, Texas, USA.
Matthew HallDepartment of Biomedical Engineering, University of Houston, Houston, Texas, USA.
Katherine ConnellyDepartment of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Chandra SwamyDepartment of Biomedical Engineering, University of Houston, Houston, Texas, USA.
Chibawanye EneDepartment of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Sudhakar TummalaDepartment of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Roxana M GrasuDepartment of Anesthesiology and Perioperative Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Ho-Ling LiuDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Vinodh A KumarDepartment of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Matthew MuirDepartment of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Sarah PrinslooDepartment of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Hayley MichenerDepartment of Palliative, Rehabilitation and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Jeffrey S WefelDepartment of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Nuri F InceDepartment of Biomedical Engineering, University of Houston, Houston, Texas, USA.
Sujit S PrabhuDepartment of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
The University of Texas MD Anderson Cancer Center · USUniversity of Houston · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Background: Electrocorticography (ECoG) language mapping is often performed extraoperatively, frequently involves offline processing, and relationships with direct cortical stimulation (DCS) remain variable. We sought to determine the feasibility and preliminary utility of an intraoperative language mapping approach guided by real-time visualization of electrocorticograms. Methods: A patient with astrocytoma underwent awake craniotomy with intraoperative language mapping, utilizing a dual iPad stimulus presentation system coupled to a real-time neural signal processing platform capable of both ECoG recording and delivery of DCS. Gamma band modulations in response to 4 language tasks at each electrode were visualized in real-time. Next, DCS was conducted for each neighboring electrode pair during language tasks. Results: All language tasks resulted in strongest heat map activation at an electrode pair in the anterior to mid superior temporal gyrus. Consistent speech arrest during DCS was observed for Object and Action naming tasks at these same electrodes, indicating good correspondence with ECoG heat map recordings. This region corresponded well with posterior language representation via preoperative functional MRI. Conclusions: Intraoperative real-time visualization of language task-based ECoG gamma band modulation is feasible and may help identify targets for DCS. If validated, this may improve the efficiency and accuracy of intraoperative language mapping.

Indexed as

brain mappingcase reportelectrocorticographygliomalanguage

Identifiers

PMID38222047
PMCPMC10785572
OpenAlexW4386839476

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.