OSCR

Artificial intelligence-based statistical modeling delineates architectural distortion in focal cortical dysplasia.

Overview

Authors: Andrew Cannon1, Roland Tian1,2, Blake Ebner1, Robert E. Watson Jr.3, Brian Burkett3, Jamie Van Gompel4, Lily C. Wong‐Kisiel5, Christopher P. Hartley1, Roger K. Moreira1, Aditya Raghunathan1
ORCID iDs: Andrew Cannon, Blake Ebner, Brian Burkett, Jamie Van Gompel
  1. Department of Laboratory Medicine and Pathology Mayo Clinic Rochester Minnesota USA
  2. Department of Pathology Baylor, Scott, and White Medical Center Temple Texas USA
  3. Department of Radiology Mayo Clinic Rochester Minnesota USA
  4. Department of Neurosurgery Mayo Clinic Rochester Minnesota USA
  5. Department of Neurology Mayo Clinic Rochester Minnesota USA
Institutions: Mayo Clinic (United States); Baylor Scott & White Medical Center - Temple (United States)
Journal: Brain pathology (Zurich, Switzerland), volume 36, issue 5, article e70096
Dates: received 25 June 2025; accepted 11 March 2026; published online 26 March 2026; in print September 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1111/bpa.70096 · PMID 42767799 · PMCID PMC13429297 · OpenAlex W7140387114
Open access: gold, a free copy (OpenAlex)
Status: data only (how the code is found and verified)
Categories: structural MRI / diffusion (modality), EEG (modality), histology / microscopy (modality), human (organism), epilepsy (population), developmental (subfield)
Methods: Statistics, Machine learning, fMRI & imaging
Keywords: artificial intelligence, cortical architecture, focal cortical dysplasia, spatial statistics
MeSH: Artificial Intelligence*, Focal Cortical Dysplasia*, Malformations of Cortical Development*, Models, Statistical*, Adolescent, Adult, Brain, Cerebral Cortex, Child, Electroencephalography, Epilepsy, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Neurons (* major topic)
Topic: Epilepsy research and treatment (Clinical Neurology, Medicine), according to OpenAlex
Funding: Internal grants through the Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
Citations: not cited yet (Europe PMC); 25 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Data

Datasets cited

Data availability statement

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Read it in the paper: doi.org/10.1111/bpa.70096.

Versions

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Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 10 authors, 4 keywords, 17 MeSH terms, 1 funder, 22 references.

Cite

This paper

Cannon, A., Tian, R., Ebner, B., Watson, R. E., Burkett, B., Van Gompel, J., Wong‐Kisiel, L. C., Hartley, C. P., Moreira, R. K., & Raghunathan, A. (2026). Artificial intelligence-based statistical modeling delineates architectural distortion in focal cortical dysplasia. Brain pathology (Zurich, Switzerland), 36(5), e70096. https://doi.org/10.1111/bpa.70096

BibTeX

@article{cannon2026artificial,
author = {Cannon, Andrew and Tian, Roland and Ebner, Blake and Watson, Robert E. and Burkett, Brian and Van Gompel, Jamie and Wong‐Kisiel, Lily C. and Hartley, Christopher P. and Moreira, Roger K. and Raghunathan, Aditya},
title = {{Artificial intelligence-based statistical modeling delineates architectural distortion in focal cortical dysplasia}},
journal = {Brain pathology (Zurich, Switzerland)},
year = {2026},
month = mar,
volume = {36},
number = {5},
pages = {e70096},
publisher = {Wiley},
issn = {1015-6305},
doi = {10.1111/bpa.70096},
url = {https://doi.org/10.1111/bpa.70096},
pmid = {42767799},
pmcid = {PMC13429297}
}

RIS

TY - JOUR
AU - Cannon, Andrew
AU - Tian, Roland
AU - Ebner, Blake
AU - Watson, Robert E.
AU - Burkett, Brian
AU - Van Gompel, Jamie
AU - Wong‐Kisiel, Lily C.
AU - Hartley, Christopher P.
AU - Moreira, Roger K.
AU - Raghunathan, Aditya
TI - Artificial intelligence-based statistical modeling delineates architectural distortion in focal cortical dysplasia
T2 - Brain pathology (Zurich, Switzerland)
J2 - Brain Pathol
PY - 2026
DA - 2026/03/26
VL - 36
IS - 5
SP - e70096
SN - 1015-6305
PB - Wiley
DO - 10.1111/bpa.70096
UR - https://doi.org/10.1111/bpa.70096
LA - en
ER -

CSL-JSON

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