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Interpretable machine learning approach for neuron-centric analysis of human cortical cytoarchitecture

Štajduhar, Andrija; Lipić, Tomislav; Lončarić, Sven; Judaš, Miloš; Sedmak, Goran (2023) Interpretable machine learning approach for neuron-centric analysis of human cortical cytoarchitecture. Scientific Reports, 13 . ISSN 2045-2322

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Abstract

The complexity of the cerebral cortex underlies its function and distinguishes us as humans. Here, we present a principled veridical data science methodology for quantitative histology that shifts focus from image-level investigations towards neuron-level representations of cortical regions, with the neurons in the image as a subject of study, rather than pixel-wise image content. Our methodology relies on the automatic segmentation of neurons across whole histological sections and an extensive set of engineered features, which reflect the neuronal phenotype of individual neurons and the properties of neurons’ neighborhoods. The neuron-level representations are used in an interpretable machine learning pipeline for mapping the phenotype to cortical layers. To validate our approach, we created a unique dataset of cortical layers manually annotated by three experts in neuroanatomy and histology. The presented methodology offers high interpretability of the results, providing a deeper understanding of human cortex organization, which may help formulate new scientific hypotheses, as well as to cope with systematic uncertainty in data and model predictions.

Item Type: Article
Uncontrolled Keywords: Cerebral-cortex; human brain; search; images
Subjects: TECHNICAL SCIENCES > Computing
BIOMEDICINE AND HEALTHCARE
BIOMEDICINE AND HEALTHCARE > Public Health and Health Care
Divisions: Division of Electronics
Projects:
Project titleProject leaderProject codeProject type
Znanstveni centar izvrnosti - Eksperimentalna i klinička istraživanja hipoksijsko-ishemijskog oštećenja mozga u perinatalnoj i odrasloj dobi-ZCI - NEUROMiloš JudašKK.01.1.1.01.0007EK
Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima - IJ za napredne kooperativne sustave-DATACROSSIvan Petrović; Tomislav ŠmucKK.01.1.1.01.0009-2EK
Depositing User: Josipa Karadžole
Date Deposited: 14 Apr 2026 12:26
URI: https://fulir.irb.hr:/id/eprint/11702
DOI: 10.1038/s41598-023-32154-x

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