Evidence map›Paper›PMID 26935890›Full record

ArticleNeurology2016

Spatial-temporal functional mapping of language at the bedside with electrocorticography.

Yujing Wang, Matthew S Fifer, Adeen Flinker, Anna Korzeniewska, Mackenzie C Cervenka, William S Anderson, Dana F Boatman-Reich, Nathan E Crone

Abstract read
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In one paragraph

Article in Neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Significance of event related causality (ERC) in eloquent neural networks.Neural networks : the official journal of the International Neural Network Society · 2022
    Article
  8. Article
  9. A distributed network supports spatiotemporal cerebral dynamics of visual naming.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2021
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Cognitive and Emotional Mapping With SEEG.Frontiers in neurology · 2021
    Review
  15. Article
  16. Article
  17. Passive functional mapping of receptive language areas using electrocorticographic signals.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2018
    Article
  18. Article
  19. Four-dimensional map of the human early visual system.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2018
    Article
  20. Presurgical language mapping using event-related high-gamma activity: The Detroit procedure.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2018
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Yujing WangFrom the Departments of Neurology (Y.W., A.K., M.C.C., D.F.B.-R., N.E.C.), Biomedical Engineering (M.S.F.), and Neurosurgery (W.S.A.), Johns Hopkins University, Baltimore, MD; Fischell Department of Bioengineering (Y.W.), University of Maryland College Park; and Department of Psychology (A.F.), New York University, New York. ywang154@jhu.edu.
Matthew S FiferFrom the Departments of Neurology (Y.W., A.K., M.C.C., D.F.B.-R., N.E.C.), Biomedical Engineering (M.S.F.), and Neurosurgery (W.S.A.), Johns Hopkins University, Baltimore, MD; Fischell Department of Bioengineering (Y.W.), University of Maryland College Park; and Department of Psychology (A.F.), New York University, New York.
Adeen FlinkerFrom the Departments of Neurology (Y.W., A.K., M.C.C., D.F.B.-R., N.E.C.), Biomedical Engineering (M.S.F.), and Neurosurgery (W.S.A.), Johns Hopkins University, Baltimore, MD; Fischell Department of Bioengineering (Y.W.), University of Maryland College Park; and Department of Psychology (A.F.), New York University, New York.
Anna KorzeniewskaFrom the Departments of Neurology (Y.W., A.K., M.C.C., D.F.B.-R., N.E.C.), Biomedical Engineering (M.S.F.), and Neurosurgery (W.S.A.), Johns Hopkins University, Baltimore, MD; Fischell Department of Bioengineering (Y.W.), University of Maryland College Park; and Department of Psychology (A.F.), New York University, New York.
Mackenzie C CervenkaFrom the Departments of Neurology (Y.W., A.K., M.C.C., D.F.B.-R., N.E.C.), Biomedical Engineering (M.S.F.), and Neurosurgery (W.S.A.), Johns Hopkins University, Baltimore, MD; Fischell Department of Bioengineering (Y.W.), University of Maryland College Park; and Department of Psychology (A.F.), New York University, New York.
William S AndersonFrom the Departments of Neurology (Y.W., A.K., M.C.C., D.F.B.-R., N.E.C.), Biomedical Engineering (M.S.F.), and Neurosurgery (W.S.A.), Johns Hopkins University, Baltimore, MD; Fischell Department of Bioengineering (Y.W.), University of Maryland College Park; and Department of Psychology (A.F.), New York University, New York.
Dana F Boatman-ReichFrom the Departments of Neurology (Y.W., A.K., M.C.C., D.F.B.-R., N.E.C.), Biomedical Engineering (M.S.F.), and Neurosurgery (W.S.A.), Johns Hopkins University, Baltimore, MD; Fischell Department of Bioengineering (Y.W.), University of Maryland College Park; and Department of Psychology (A.F.), New York University, New York.
Nathan E CroneFrom the Departments of Neurology (Y.W., A.K., M.C.C., D.F.B.-R., N.E.C.), Biomedical Engineering (M.S.F.), and Neurosurgery (W.S.A.), Johns Hopkins University, Baltimore, MD; Fischell Department of Bioengineering (Y.W.), University of Maryland College Park; and Department of Psychology (A.F.), New York University, New York.

Funding

Electrocorticographic studies of human cortical functionR01NS040596 · NINDS · JOHNS HOPKINS UNIVERSITY · PI CRONE, NATHAN E · 2001 to 2014
$6.7M
Temporal-spatial mapping of cortical networks important for human cognitionR01NS091139 · NINDS · JOHNS HOPKINS UNIVERSITY · PI CRONE, NATHAN E · 2015 to 2019
$1.8M
NINDS NIH HHS NS40596NINDS NIH HHS NS91139NINDS NIH HHS R01 NS040596NINDS NIH HHS R01 NS091139
6 · The paper itself

Abstract

objectiveTo investigate the feasibility and clinical utility of using passive electrocorticography (ECoG) for online spatial-temporal functional mapping (STFM) of language cortex in patients being monitored for epilepsy surgery.

methodsWe developed and tested an online system that exploits ECoG's temporal resolution to display the evolution of statistically significant high gamma (70-110 Hz) responses across all recording sites activated by a discrete cognitive task. We illustrate how this spatial-temporal evolution can be used to study the function of individual recording sites engaged during different language tasks, and how this approach can be particularly useful for mapping eloquent cortex.

resultsUsing electrocortical stimulation mapping (ESM) as the clinical gold standard for localizing language cortex, the average sensitivity and specificity of online STFM across 7 patients were 69.9% and 83.5%, respectively. Moreover, relative to regions of interest where discrete cortical lesions have most reliably caused language impairments in the literature, the sensitivity of STFM was significantly greater than that of ESM, while its specificity was also greater than that of ESM, though not significantly so.

conclusionsThis study supports the feasibility and clinical utility of online STFM for mapping human language function, particularly under clinical circumstances in which time is limited and comprehensive ESM is impractical.

Indexed as

LanguagePoint-of-Care TestingAcoustic StimulationAdolescentAdultBrain MappingCerebral CortexElectrocorticographyEpilepsyFeasibility StudiesFemaleHumansMaleMiddle AgedPhotic StimulationTime Factors

Identifiers

PMID26935890
PMCPMC4818563

What OpenQuestion holds

Textmetadata
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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.