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Noninvasive classification of physiological and pathological high frequency oscillations in children

Code ↔ Paper

4 matches between paragraphs of the paper and lines of its authors' code, computed by the harvester (lexical-v1). Click a colored paragraph or line to see its counterpart.

The 4 matches · 2 of them tie a paragraph to a whole file, not to given lines: weak matches, whose lines are not tinted
  1. [1] § Materials and methods › Source localization ↔ run_wmem_on_EOIs.m, the whole file · a weak match · score 0.75 · Maximum Entropy, wMEM, Brainstorm, wavelet, active, segments
  2. [2] § Materials and methods › Source localization ↔ Main_brainstorm_3_wMEM_eoi_EEG.m, lines 1–106 · score 0.68 · wMEM, 80–160 HZ, Desikan, Killiany, atlas, Brainstorm
  3. [3] § Materials and methods › Ripple detection ↔ bandpassFilter_v2.m, the whole file · a weak match · score 0.58 · frequency domains, Hz, algorithm, ripple, signal, filtered
  4. [4] § Materials and methods › Ripple detection ↔ Main_brainstorm_2_hfo_detection_MEG.m, lines 23–102 · score 0.55 · HFO detection, frequency band, peak, overlapping, filtered, duration

Paper

Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC

The paper is loaded when this pane is shown.

The authors' code

MATLAB · 57 lines · 2.4 KB · no license · 1 match

  1. function [sFiles] = run_wmem_on_EOIs(sFiles, eoi_start, eoi_stop, b_start, b_stop, sensor_type)
  2. % Start a new report
  3. bst_report('Start', sFiles);
  5. % Process: Compute sources: BEst
  6. sFiles = bst_process('CallProcess', 'process_inverse_mem', sFiles, [], ...
  7. 'comment', '', ...
  8. 'method', 1, ... % Maximum Entropy on the Mean (MEM)
  9. 'mem', struct(...
  10. 'MEMpaneloptions', struct(...
  11. 'InverseMethod', 'MEM', ...
  12. 'automatic', struct(...
  13. 'MEMexpert', 0, ...
  14. 'version', '2.7.3', ...
  15. 'last_update', ''), ...
  16. 'clustering', struct(...
  17. 'neighborhood_order', 4, ...
  18. 'MSP_window', 10, ...
  19. 'clusters_type', 'wfdr', ...
  20. 'MSP_scores_threshold', 'fdr'), ...
  21. 'optional', struct(...
  22. 'TimeSegment', [eoi_start, eoi_stop], ...
  23. 'groupAnalysis', 0, ...
  24. 'Baseline', [], ...
  25. 'BaselineHistory', {{'within'}}, ...
  26. 'display', 0, ...
  27. 'BaselineSegment', [b_start, b_stop]), ...
  28. 'mandatory', struct(...
  29. 'pipeline', 'wMEM'), ...
  30. 'model', struct(...
  31. 'active_mean_method', 2, ...
  32. 'alpha_method', 3, ...
  33. 'alpha_threshold', 0.1, ...
  34. 'initial_lambda', 1), ...
  35. 'solver', struct(...
  36. 'spatial_smoothing', 0.6, ...
  37. 'active_var_mult', 0.05, ...
  38. 'inactive_var_mult', 0, ...
  39. 'NoiseCov_method', 5, ...
  40. 'Optim_method', 'fminunc', ...
  41. 'parallel_matlab', 0, ...
  42. 'NoiseCov_recompute', 1), ...
  43. 'wavelet', struct(...
  44. 'type', 'rdw', ...
  45. 'vanish_moments', 4, ...
  46. 'shrinkage', 1, ...
  47. 'selected_scales', 2))), ...
  48. 'sensortypes', sensor_type, ...
  49. 'output', 1); % Full results: one per file
  51. % Save and display report
  52. ReportFile = bst_report('Save', sFiles);
  53. bst_report('Open', ReportFile);
  54. % bst_report('Export', ReportFile, ExportDir);

run_wmem_on_EOIs.m at commit aba308c, no license · at the source

Overview

Authors: Lorenzo Fabbri1,2, Eleonora Tamilia3,4, Margherita A G Matarrese1,2,5, Linh Tran1, Saleem I Malik1, Dave Shahani1, Cynthia G Keator1, Steven M Stufflebeam6, Phillip L Pearl4, M Scott Perry1, Christos Papadelis1,2,7
ORCID iDs: Eleonora Tamilia, Margherita A G Matarrese, Phillip L Pearl, Christos Papadelis
  1. Neuroscience Research, Jane and John Justin Institute for Mind Health, Cook Children’s Health Care System, Fort Worth, TX 76104, USA
  2. Department of Bioengineering, University of Texas at Arlington, Arlington, TX 76019, USA
  3. Division of Newborn Medicine, Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
  4. Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
  5. Research Unit of Intelligent Health Technology for Health and Wellbeing, Department of Engineering, Università Campus Bio-Medico di Roma, Rome 00128, Italy
  6. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital & Harvard Medical School, Charlestown, MA 02129, USA
  7. Burnett School of Medicine, Texas Christian University, Fort Worth, TX 76129, USA
Institutions: The University of Texas at Arlington (United States); Cook Children's Medical Center (United States); Cook Children's Health Care System (United States); Boston Children's Hospital (United States); Harvard University (United States); Università Campus Bio-Medico (Italy); Massachusetts General Hospital (United States); Athinoula A. Martinos Center for Biomedical Imaging (United States); Texas Christian University (United States)
Journal: n/a, volume 7, issue 3, article fcaf170
Dates: received 13 December 2024; accepted 30 April 2025; published online 2 May 2025
Type: Research article · Language: English
License: none stated
Identifiers: DOI 10.1093/braincomms/fcaf170 · PMCID PMC12077393 · OpenAlex W4410018420
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: EEG (modality), MEG (modality), human (organism), epilepsy (population), clinical / translational (subfield)
Methods: Spectral & time-frequency, Statistics, Machine learning, Preprocessing, Connectivity
Keywords: electrical source imaging, high-density electroencephalography, high frequency oscillations, magnetoencephalography, drug-resistant epilepsy
Topic: Heart Rate Variability and Autonomic Control (Cardiology and Cardiovascular Medicine, Medicine), according to OpenAlex
Funding: HHS | NIH | National Institute of Neurological Disorders and Stroke (NINDS) (R01NS104116, R01NS134944)
Citations: cited by 3 papers (Europe PMC); 83 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (none stated) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Repository

Its files are read in the Code ↔ Paper reader above, with 4 matches between paragraphs and lines of code.

LorenzoFabbri95/Noninvasive-Classification-of-Physiological-and-Pathological-High-Frequency-Oscillations-in-Children

License: none: the authors keep all their rights
State: the link answers, verified on 26 September 2026
Evidence: files inventoried
Commit: aba308ce339450bb6b52676a8f398c6a908691c3, 19 February 2025
Languages: MATLAB (31)
Size: 33 files, 31 scripts
Software Heritage: not archived
Found in: “Data availability”
Holds: README
Not found: license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: Brainstorm (8 files), Statistics and Machine Learning Toolbox (7 files), Signal Processing Toolbox (2 files)
Availability: 1 check, the latest on 26 September 2026: the link answers
  • 26 September 2026: the link answers
32 files
At the source: github.com/LorenzoFabbri95/Noninvasive-Classification-of-Physiological-and-Pathological-High-Frequency-Oscillations-in-Children.git

The paper's code and data availability statement is in the Data section.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 31 scripts, each with its path and the digest of its content;
  • 4 matches between paragraphs of the paper and lines of the code (method lexical-v1);
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Code and data availability statement

The paper has a code and data availability statement. Its license (none stated) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1093/braincomms/fcaf170.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 11 authors, 5 keywords, 1 funder, 82 references.

Cite

This paper

Fabbri, L., Tamilia, E., Matarrese, M. A. G., Tran, L., Malik, S. I., Shahani, D., Keator, C. G., Stufflebeam, S. M., Pearl, P. L., Perry, M. S., & Papadelis, C. (2025). Noninvasive classification of physiological and pathological high frequency oscillations in children. Brain Communications, 7(3), fcaf170. https://doi.org/10.1093/braincomms/fcaf170

BibTeX

@article{fabbri2025noninvasive,
author = {Fabbri, Lorenzo and Tamilia, Eleonora and Matarrese, Margherita A G and Tran, Linh and Malik, Saleem I and Shahani, Dave and Keator, Cynthia G and Stufflebeam, Steven M and Pearl, Phillip L and Perry, M Scott and Papadelis, Christos},
title = {{Noninvasive classification of physiological and pathological high frequency oscillations in children}},
journal = {Brain Communications},
year = {2025},
volume = {7},
number = {3},
pages = {fcaf170},
publisher = {Oxford University Press},
issn = {2632-1297},
doi = {10.1093/braincomms/fcaf170},
url = {https://doi.org/10.1093/braincomms/fcaf170},
pmcid = {PMC12077393}
}

RIS

TY - JOUR
AU - Fabbri, Lorenzo
AU - Tamilia, Eleonora
AU - Matarrese, Margherita A G
AU - Tran, Linh
AU - Malik, Saleem I
AU - Shahani, Dave
AU - Keator, Cynthia G
AU - Stufflebeam, Steven M
AU - Pearl, Phillip L
AU - Perry, M Scott
AU - Papadelis, Christos
TI - Noninvasive classification of physiological and pathological high frequency oscillations in children
T2 - Brain Communications
J2 - Brain Commun
PY - 2025
DA - 2025
VL - 7
IS - 3
SP - fcaf170
SN - 2632-1297
PB - Oxford University Press
DO - 10.1093/braincomms/fcaf170
UR - https://doi.org/10.1093/braincomms/fcaf170
LA - en
ER -

CSL-JSON

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"id": "10.1093/braincomms/fcaf170",
"type": "article-journal",
"title": "Noninvasive classification of physiological and pathological high frequency oscillations in children",
"container-title": "Brain Communications",
"author": [
{
"family": "Fabbri",
"given": "Lorenzo"
},
{
"family": "Tamilia",
"given": "Eleonora"
},
{
"family": "Matarrese",
"given": "Margherita A G"
},
{
"family": "Tran",
"given": "Linh"
},
{
"family": "Malik",
"given": "Saleem I"
},
{
"family": "Shahani",
"given": "Dave"
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{
"family": "Keator",
"given": "Cynthia G"
},
{
"family": "Stufflebeam",
"given": "Steven M"
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{
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"given": "Phillip L"
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"family": "Perry",
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],
"container-title-short": "Brain Commun",
"volume": "7",
"issue": "3",
"page": "fcaf170",
"DOI": "10.1093/braincomms/fcaf170",
"PMCID": "PMC12077393",
"ISSN": "2632-1297",
"publisher": "Oxford University Press",
"URL": "https://doi.org/10.1093/braincomms/fcaf170",
"language": "en",
"issued": {
"date-parts": [
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2025
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}
}

The tracing map gets a citation of its own once an author has validated it and it has a DOI.

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