Evidence map›Paper›PMID 37150937›Full record

ArticleEpilepsia2023

Flexible, high-resolution cortical arrays with large coverage capture microscale high-frequency oscillations in patients with epilepsy.

Katrina J Barth, James Sun, Chia-Han Chiang, Shaoyu Qiao, Charles Wang, Shervin Rahimpour, Michael Trumpis, Suseendrakumar Duraivel, Agrita Dubey, Katie E Wingel and 16 more

Open access · greenAbstract read
In one paragraph

Article in Epilepsia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 22 citations in OpenAlex.

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  16. Networks through the lens of high-frequency oscillations.Frontiers in network physiology · 2024
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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

26 authors at 6 institutions in 1 country.

Katrina J BarthDepartment of Biomedical Engineering, Duke University, North Carolina, Durham, USA.ORCID 0000-0002-0193-5057
James SunCenter for Neural Science, New York University, New York, New York, USA.
Chia-Han ChiangDepartment of Biomedical Engineering, Duke University, North Carolina, Durham, USA.ORCID 0000-0002-4010-1266
Shaoyu QiaoCenter for Neural Science, New York University, New York, New York, USA.ORCID 0000-0001-7594-6704
Charles WangDepartment of Biomedical Engineering, Duke University, North Carolina, Durham, USA.
Shervin RahimpourDepartment of Neurosurgery, Clinical Neuroscience Center, University of Utah, Utah, Salt Lake City, USA.
Michael TrumpisDepartment of Biomedical Engineering, Duke University, North Carolina, Durham, USA.
Suseendrakumar DuraivelDepartment of Biomedical Engineering, Duke University, North Carolina, Durham, USA.ORCID 0000-0002-1110-1021
Agrita DubeyDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, Philadelphia, USA.
Katie E WingelDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, Philadelphia, USA.
Alex E VoinasCenter for Neural Science, New York University, New York, New York, USA.ORCID 0000-0002-4332-2785
Breonna FerrentinoCenter for Neural Science, New York University, New York, New York, USA.
Werner DoyleDepartment of Neurosurgery, NYU Langone Health, New York, New York, USA.
Derek G SouthwellDepartment of Neurobiology, Duke University School of Medicine, North Carolina, Durham, USA.
Michael M HaglundDepartment of Neurosurgery, Duke University School of Medicine, North Carolina, Durham, USA.
Matthew VestalDepartment of Neurosurgery, Duke University School of Medicine, North Carolina, Durham, USA.
Stephen C HarwardDepartment of Neurosurgery, Duke University School of Medicine, North Carolina, Durham, USA.
Florian SolzbacherDepartment of Biomedical Engineering, University of Utah, Utah, Salt Lake City, USA.
Sasha DevoreDepartment of Neurology, NYU Grossman School of Medicine, New York, New York, USA.
Orrin DevinskyDepartment of Neurosurgery, NYU Langone Health, New York, New York, USA.ORCID 0000-0003-0044-4632
Daniel FriedmanDepartment of Neurology, NYU Grossman School of Medicine, New York, New York, USA.
Bijan PesaranDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, Philadelphia, USA.
Saurabh R SinhaDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, Philadelphia, USA.ORCID 0000-0003-0305-6731
Gregory B CoganDepartment of Neurosurgery, Duke University School of Medicine, North Carolina, Durham, USA.
Justin BlancoDepartment of Electrical and Computer Engineering, United States Naval Academy, Maryland, Annapolis, USA.ORCID 0000-0003-1101-2608
Jonathan ViventiDepartment of Biomedical Engineering, Duke University, North Carolina, Durham, USA.ORCID 0000-0001-6054-0541
Duke University · USNew York University · USUniversity of Pennsylvania · USNYU Langone Health · USUniversity of Utah · USUnited States Naval Academy · US

Funding

Support for QA/QC for Prior Approval ProcessUL1TR002553 · NCATS · DUKE UNIVERSITY · PI LI, JENNIFER S, MCNAMARA, JAMES O. · 2018 to 2023
$58.5M
Transitioning Early Career Neurosurgeons to Scientific IndependenceK12NS080223 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI ESKANDAR, EMAD N · 2012 to 2022
$9.2M
Medical Scientist Research Service AwardT32GM136573 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SULMAN, ERIK · 2020 to 2024
$6.8M
Neurophysiology of Human Cortical EpilepsyR01NS062092 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S · 2010 to 2021
$4.7M
Advancing Epilepsy Diagnosis with Flexible, High-Resolution Thin-Film ElectrodesUG3NS120172 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BHANDARI, RAJMOHAN, FRIEDMAN, DANIEL · 2022 to 2025
$4.6M
Development and validation of empirical models of the neuronal population activity underlying non-invasive human brain measurementsR01MH111417 · NIMH · UNIVERSITY MEDICAL CENTER UTRECHT · PI DEVINSKY, ORRIN, DIJKHUIZEN, RICK M · 2016 to 2020
$4.4M
Optimizing flexible, active electrode arrays for chronic, large-scale recording and stimulation on the scale of 100,000 electrodesU01NS099697 · NINDS · DUKE UNIVERSITY · PI BRAUN, PAUL, PESARAN, BIJAN · 2016 to 2018
$3.5M
Predictive models of brain dynamics during decision making and their validation using distributed optogenetic stimulationR01NS104923 · NINDS · NEW YORK UNIVERSITY · PI KIANI, ROOZBEH · 2017 to 2021
$3.5M
Brain rhythms-assisted memory enhancementR01MH107396 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BUZSAKI, GYORGY, DEVINSKY, ORRIN · 2015 to 2019
$3.3M
A Wireless micro-ECoG Prosthesis for SpeechR01DC019498 · NIDCD · DUKE UNIVERSITY · PI SHEPARD, KENNETH L, SOLZBACHER, FLORIAN · 2021 to 2025
$3.1M
NeuroGrid: a scalable system for large-scale recording of action potentials from the brain surfaceU01NS099705 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BUZSAKI, GYORGY, DEVINSKY, ORRIN · 2016 to 2018
$3.0M
The Neuronal Underpinnings of Non-invasive Laminar fMRIRF1MH116978 · NIMH · UNIVERSITY OF MINNESOTA · PI DEVINSKY, ORRIN, YACOUB, ESSA · 2018 to 2018
$2.9M
CDC HHS U48DP006396-01SIP 19-003NCATS NIH HHS UL1 TR002553NIDCD NIH HHS R01 DC019498NIGMS NIH HHS T32 GM136573NIH HHS 1R01-DC019498-01A1NIH HHS K12 NS080223NIH HHS R01 DC019498NIH HHS R01 HL151490NIH HHS R01 MH107396NIH HHS R01 MH111417NIH HHS R01 MH116978NIH HHS R01 NS062092NIH HHS R01 NS06209207NIH HHS R01 NS104923NIH HHS R01 NS109367NIH HHS RF1 MH116978NIH HHS T32 GM136573NIH HHS U01 NS090415NIH HHS U01 NS099577NIH HHS U01 NS099697NIH HHS U01 NS099705NIH HHS U01 NS103518NIH HHS U01 NS122123NIH HHS U01 NS123668NIH HHS UG3 NS120172NIH HHS UL 1TR002553NIMH NIH HHS R01 MH107396NIMH NIH HHS R01 MH111417NIMH NIH HHS RF1 MH116978NINDS NIH HHS K12 NS080223NINDS NIH HHS R01 NS062092NINDS NIH HHS R01 NS104923NINDS NIH HHS R01 NS109367NINDS NIH HHS R25 NS065731NINDS NIH HHS U01 NS090415NINDS NIH HHS U01 NS099577NINDS NIH HHS U01 NS099697NINDS NIH HHS U01 NS099705NINDS NIH HHS U01 NS103518NINDS NIH HHS U01 NS123668NINDS NIH HHS UE5 NS065731NINDS NIH HHS UF1 NS122123NINDS NIH HHS UG3 NS120172
6 · The paper itself

Abstract

objectiveEffective surgical treatment of drug-resistant epilepsy depends on accurate localization of the epileptogenic zone (EZ). High-frequency oscillations (HFOs) are potential biomarkers of the EZ. Previous research has shown that HFOs often occur within submillimeter areas of brain tissue and that the coarse spatial sampling of clinical intracranial electrode arrays may limit the accurate capture of HFO activity. In this study, we sought to characterize microscale HFO activity captured on thin, flexible microelectrocorticographic (μECoG) arrays, which provide high spatial resolution over large cortical surface areas.

methodsWe used novel liquid crystal polymer thin-film μECoG arrays (.76-1.72-mm intercontact spacing) to capture HFOs in eight intraoperative recordings from seven patients with epilepsy. We identified ripple (80-250 Hz) and fast ripple (250-600 Hz) HFOs using a common energy thresholding detection algorithm along with two stages of artifact rejection. We visualized microscale subregions of HFO activity using spatial maps of HFO rate, signal-to-noise ratio, and mean peak frequency. We quantified the spatial extent of HFO events by measuring covariance between detected HFOs and surrounding activity. We also compared HFO detection rates on microcontacts to simulated macrocontacts by spatially averaging data.

resultsWe found visually delineable subregions of elevated HFO activity within each μECoG recording. Forty-seven percent of HFOs occurred on single 200-μm-diameter recording contacts, with minimal high-frequency activity on surrounding contacts. Other HFO events occurred across multiple contacts simultaneously, with covarying activity most often limited to a .95-mm radius. Through spatial averaging, we estimated that macrocontacts with 2-3-mm diameter would only capture 44% of the HFOs detected in our μECoG recordings. SIGNIFICANCE: These results demonstrate that thin-film microcontact surface arrays with both highresolution and large coverage accurately capture microscale HFO activity and may improve the utility of HFOs to localize the EZ for treatment of drug-resistant epilepsy.

Indexed as

Brain WavesDrug Resistant EpilepsyEpilepsyBrainElectroencephalographyHumansdrug-resistant epilepsyhigh-frequency oscillationsinterictalintraoperativemicroelectrocorticography

Identifiers

PMID37150937
PMCPMC10524535
OpenAlexW4375856130

What OpenQuestion holds

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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.