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Deep learning based source imaging provides strong sublobar localization of epileptogenic zone from MEG interictal spikes

NeuroImage(2023)10.1016/j.neuroimage.2023.120366Source: DataRank Database

Deep learning based source imaging provides strong sublobar localization of epileptogenic zone from MEG interictal spikes is a research paper published in NeuroImage (2023). On theSindex it has a DataRank of 0. It has been cited 22 times.

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Open Access22 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (25 grants)Impact (FWCI 2.84)OA: goldTopics (54)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Wenbo Zhang ORCID,Anto Bagić ORCID,Bin He ORCID,Rui Sun ORCID

Live enrichment

PubMed:37716593 PMC:PMC10771628 OpenAlex:https://openalex.org/W4386782747

National Institute of Neurological Disorders and Stroke

Grant: NS096761

National Institute of Neurological Disorders and Stroke

Grant: NS124564

National Institute of Neurological Disorders and Stroke

Grant: NS127849

National Institute of Biomedical Imaging and Bioengineering

Grant: EB021027

National Institute of Biomedical Imaging and Bioengineering

Grant: EB029354

National Center for Complementary and Integrative Health

Grant: AT009263

National Science Foundation

Grant: ACI-1928147

National Science Foundation

Grant: ACI1548562

National Institute of Mental Health

Grant: MH114233

NINDS NIH HHS

Grant: R01 NS127849

NIBIB NIH HHS

Grant: R01 EB021027

NINDS NIH HHS

Grant: R01 NS124564

NCCIH NIH HHS

Grant: R01 AT009263

NINDS NIH HHS

Grant: R01 NS096761

NIMH NIH HHS

Grant: RF1 MH114233

NIBIB NIH HHS

Grant: U18 EB029354

National Institutes of Health

Grant: 7RF1MH114233-02

Electrophysiological source imaging guided transcranial focused ultrasound

National Institutes of Health

Grant: 1U18EB029354-01

Treating pain in sickle cell disease by means of focused ultrasound neuromodulation

National Science Foundation

Grant: 1928147

Category I: Bridges-2: Scalable Converged Computing, Data, and Analytics for Rapidly Evolving Science and Engineering Research

National Institutes of Health

Grant: 5R01NS021027-05

IMPROVED COCHLEAR IMPLANTS: PSYCHOPHYSICS &ENGINEERING

National Institutes of Health

Grant: 1R01NS127849-01A1

Imaging Epilepsy Sources with Biophysically Constrained Deep Neural Networks

National Institutes of Health

Grant: 2R01NS096761-06

Electrophysiological Source Imaging of Partial Epilepsy

National Institutes of Health

Medical Center, University of Pittsburgh

Center for Machine Learning and Health, School of Computer Science, Carnegie Mellon University

FWCI

2.84

Citation Percentile

0.9%

Influential Citations

Citation Trend

2024

2025

2026

goldLicense: cc-by-nc-nd

journalhttps://doi.org/10.1016/j.neuroimage.2023.120366

GOLDhttps://doi.org/10.1016/j.neuroimage.2023.120366

publisherhttps://doi.org/10.1016/j.neuroimage.2023.120366

publisherhttps://api.elsevier.com/content/article/PII:S1053811923005177?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1053811923005177?httpAccept=text/plain

Fields of Study

Functional Brain Connectivity StudiesAdvanced MRI Techniques and ApplicationsNeural dynamics and brain functionComputer ScienceMedicineEngineering02 engineering and technology0202 electrical engineering, electronic engineering, information engineeringHumansDeep LearningBrainEpilepsyDrug Resistant EpilepsyElectrocorticographyMagnetic Resonance ImagingElectroencephalographyMagnetoencephalographyBrain Mapping

MeSH Terms

Drug Resistant EpilepsyElectrocorticographyDeep LearningBrainBrain MappingElectroencephalographyEpilepsyHumansMagnetic Resonance ImagingMagnetoencephalography

Keywords

IctalComputer scienceMagnetoencephalographyArtificial intelligenceRobustness (evolution)Deep learningElectroencephalographyStereoelectroencephalographyPattern recognition (psychology)NeurosciencePsychologyMEGSource localizationNeural Mass ModelsFocal EpilepsyDeep Neural NetworksElectromagnetic Source ImagingDrug Resistant EpilepsyBrain MappingEpilepsyBrainNeurosciences. Biological psychiatry. NeuropsychiatryMagnetic Resonance ImagingHumansElectrocorticographyRC321-571