Evidence map›Paper›PMID 32499685›Full record

ArticleFrontiers in human neuroscience2020

Optimizing Magnetoencephalographic Imaging Estimation of Language Lateralization for Simpler Language Tasks.

Leighton B N Hinkley, Elke De Witte, Megan Cahill-Thompson, Danielle Mizuiri, Coleman Garrett, Susanne Honma, Anne Findlay, Maria Luisa Gorno-Tempini, Phiroz Tarapore, Heidi E Kirsch and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in human neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

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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

14 authors at 3 institutions in 2 countries.

Leighton B N HinkleyDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
Elke De WitteDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
Megan Cahill-ThompsonDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
Danielle MizuiriDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
Coleman GarrettDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
Susanne HonmaDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
Anne FindlayDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
Maria Luisa Gorno-TempiniDepartment of Neurology, University of California, San Francisco, San Francisco, CA, United States.
Phiroz TaraporeDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States.
Heidi E KirschDepartment of Neurology, University of California, San Francisco, San Francisco, CA, United States.
Peter MariënDepartment of Neurology, Ziekenhuis Netwerk Antwerpen, Antwerp, Belguim.
John F HoudeDepartment of Otolaryngology; University of California, San Francisco, San Francisco, CA, United States.
Mitchel BergerDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States.
Srikantan S NagarajanDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
University of California, San Francisco · USUniversity of San Francisco · USZiekenhuisnetwerk Antwerpen Stuivenberg · BE

Funding

TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
Progressive Aphasia Cognition Anatomy and ProgressionR01NS050915 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARIA LUISA GORNO TEMPINI · 2004 to 2026
$11.0M
Cortical spatiotemporal plasticity in humansR01DC004855 · NIDCD · UNIVERSITY OF UTAH · PI NAGARAJAN, SRIKANTAN S. · 2002 to 2011
$2.9M
Training program in the neurology of language and neurodegenerative aphasiasK24DC015544 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GORNO TEMPINI, MARIA LUISA · 2016 to 2025
$1.9M
Neuroimaging of Speech Motor ControlR01DC010145 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOUDE, JOHN FRANCIS · 2010 to 2014
$1.8M
Imaging sensorimotor adaptation and compensation of speechR01DC013979 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOUDE, JOHN FRANCIS, NAGARAJAN, SRIKANTAN S. · 2014 to 2018
$1.7M
Fusion of Electromagnetic Brain Imaging and fMRIR21NS076171 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NAGARAJAN, SRIKANTAN S. · 2011 to 2012
$425k
NIA NIH HHS P01 AG019724NIDCD NIH HHS K24 DC015544NIDCD NIH HHS R01 DC004855NIDCD NIH HHS R01 DC010145NIDCD NIH HHS R01 DC013979NINDS NIH HHS R01 NS050915NINDS NIH HHS R21 NS076171
6 · The paper itself

Abstract

Magnetoencephalographic imaging (MEGI) offers a non-invasive alternative for defining preoperative language lateralization in neurosurgery patients. MEGI indeed can be used for accurate estimation of language lateralization with a complex language task - auditory verb generation. However, since language function may vary considerably in patients with focal lesions, it is important to optimize MEGI for estimation of language function with other simpler language tasks. The goal of this study was to optimize MEGI laterality analyses for two such simpler language tasks that can have compliance from those with impaired language function: a non-word repetition (NWR) task and a picture naming (PN) task. Language lateralization results for these two tasks were compared to the verb-generation (VG) task. MEGI reconstruction parameters (regions and time windows) for NWR and PN were first defined in a presurgical training cohort by benchmarking these against laterality indices for VG. Optimized time windows and regions of interest (ROIs) for NWR and PN were determined by examining oscillations in the beta band (12-30 Hz) a marker of neural activity known to be concordant with the VG laterality index (LI). For NWR, additional ROIs include areas MTG/ITG and for both NWR and PN, the postcentral gyrus was included in analyses. Optimal time windows for NWR were defined as 650-850 ms (stimulus-locked) and -350 to -150 ms (response-locked) and for PN -450 to -250 ms (response-locked). To verify the optimal parameters defined in our training cohort for NWR and PN, we examined an independent validation cohort (

Indexed as

language lateralizationlanguage tasksMEGnon-word repetitionpicture namingtumor patientsverb generationWada

Identifiers

PMID32499685
PMCPMC7242765
OpenAlexW3025392888

What OpenQuestion holds

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LicenceCC BY
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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.