Associations between anterior hypothalamic subunits and ADHD and autistic traits revealed by deep learning MRI segmentation.

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Paper

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The authors' code

Python · 6 lines · 152 B · Apache-2.0

from . import edit_tensors
from . import edit_volumes
from . import image_generator
from . import lab2im_model
from . import layers
from . import utils

__init__.py at commit dbcf68f, under Apache-2.0 · at the source

Overview

Authors: Uk-Su Choi¹, Sachiko Kiyama², Yul-Wan Sung³, Masaki Fukunaga⁴, Seiji Ogawa³

Institutions: Daegu-Gyeongbuk Medical Innovation Foundation (South Korea); Tohoku University (Japan); Tohoku Fukushi University (Japan); National Institute for Physiological Sciences (Japan)

Journal: Discover mental health, volume 6, issue 1, article 166

Dates: received 30 January 2026; accepted 16 June 2026; published online 21 June 2026

Type: Research article · Language: English

License: CC BY-NC-ND

Identifiers: DOI 10.1007/s44192-026-00521-5 · PMID 42323754 · PMCID PMC13529635 · OpenAlex W7165481154

Open access: gold, a free copy (OpenAlex)

Status: code verified (how the code is found and verified)

Categories: structural MRI / diffusion (modality), autism (population), ADHD (population), clinical / translational (subfield)

Methods: Connectivity, Statistics, Machine learning

Keywords: Hypothalamus, Oxytocin system, Autism spectrum traits, ADHD symptoms, Structural MRI

Topic: Autism Spectrum Disorder Research (Cognitive Neuroscience, Neuroscience), according to OpenAlex

Funding: Japan Society for the Promotion of Science

Citations: not cited yet (Europe PMC); 57 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.

Repository

Its files are read in the Code ↔ Paper reader above.

BBillot/hypothalamus_seg

License: Apache-2.0

State: the link answers, verified on 13 November 2026

Evidence: files inventoried

Commit: dbcf68f0dab5201b56a1457d64f379d0e43cd031, 6 January 2023

Languages: Python (37)

Size: 44 files, 37 scripts

Software Heritage: not archived

Found in: “Code availability”

Holds: README, license file, environment (requirements.txt)

Not found: CITATION.cff, tests, continuous integration, documentation

Tools: NumPy (27 files), Keras (17 files), TensorFlow (13 files), Matplotlib (6 files), SciPy (6 files), NiBabel (3 files), FreeSurfer (1 file), Pillow (1 file), scikit-learn (1 file)

Availability: 2 checks, the latest on 13 November 2026: the link answers

13 November 2026: the link answers
27 September 2026: the link answers

39 files

ext/lab2im/__init__.py, Python, 6 lines
ext/lab2im/edit_tensors.py, Python, 346 lines
ext/lab2im/edit_volumes.py, Python, 2,792 lines
ext/lab2im/image_generator.py, Python, 266 lines
ext/lab2im/lab2im_model.py, Python, 174 lines
ext/lab2im/layers.py, Python, 1,727 lines
ext/lab2im/utils.py, Python, 1,055 lines
ext/neuron/__init__.py, Python, 11 lines
ext/neuron/callbacks.py, Python, 624 lines
ext/neuron/dataproc.py, Python, 414 lines
ext/neuron/generators.py, Python, 1,059 lines
ext/neuron/inits.py, Python, 18 lines
ext/neuron/layers.py, Python, 1,170 lines
ext/neuron/metrics.py, Python, 448 lines
ext/neuron/models.py, Python, 1,053 lines
ext/neuron/plot.py, Python, 302 lines
ext/neuron/utils.py, Python, 1,340 lines
ext/neuron/vae_tools.py, Python, 456 lines
ext/pynd/__init__.py, Python, 2 lines
ext/pynd/imutils.py, Python, 11 lines
ext/pynd/ndutils.py, Python, 483 lines
ext/pynd/segutils.py, Python, 121 lines
ext/pytools/__init__.py, Python, 4 lines
ext/pytools/iniparse.py, Python, 212 lines
ext/pytools/patchlib.py, Python, 458 lines
ext/pytools/plot.py, Python, 63 lines
ext/pytools/timer.py, Python, 32 lines
hypothalamus_seg/__init__.py, Python, 5 lines
hypothalamus_seg/augmentation_model.py, Python, 254 lines
hypothalamus_seg/evaluate.py, Python, 370 lines
hypothalamus_seg/metrics_model.py, Python, 60 lines
hypothalamus_seg/model_inputs.py, Python, 71 lines
hypothalamus_seg/predict.py, Python, 439 lines
hypothalamus_seg/training.py, Python, 288 lines
hypothalamus_seg/validate.py, Python, 268 lines
scripts/predict.py, Python, 71 lines
scripts/training.py, Python, 82 lines
LICENSE.txt, License, 201 lines
README.md, Text, 232 lines

At the source: github.com/BBillot/hypothalamus_seg

Code availability statement

The paper has a code availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

it points to the authors' code: BBillot/hypothalamus_seg
it says that the code is available on request

Read it in the paper: doi.org/10.1007/s44192-026-00521-5.

Tracing map

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What the map holds:

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37 scripts, each with its path and the digest of its content;
no match between paragraphs and code yet;
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Data

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Data availability statement

The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

it says that the data are available on request

Read it in the paper: doi.org/10.1007/s44192-026-00521-5.

Versions

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Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 5 keywords, 1 funder, 55 references.

Cite

This paper

Choi, U.-S., Kiyama, S., Sung, Y.-W., Fukunaga, M., & Ogawa, S. (2026). Associations between anterior hypothalamic subunits and ADHD and autistic traits revealed by deep learning MRI segmentation. Discover mental health, 6(1), 166. https://doi.org/10.1007/s44192-026-00521-5

BibTeX

@article{choi2026associations, author = {Choi, Uk-Su and Kiyama, Sachiko and Sung, Yul-Wan and Fukunaga, Masaki and Ogawa, Seiji}, title = {{Associations between anterior hypothalamic subunits and ADHD and autistic traits revealed by deep learning MRI segmentation}}, journal = {Discover mental health}, year = {2026}, month = jun, volume = {6}, number = {1}, pages = {166}, publisher = {Springer}, issn = {2731-4383}, doi = {10.1007/s44192-026-00521-5}, url = {https://doi.org/10.1007/s44192-026-00521-5}, pmid = {42323754}, pmcid = {PMC13529635} }

RIS

TY - JOUR AU - Choi, Uk-Su AU - Kiyama, Sachiko AU - Sung, Yul-Wan AU - Fukunaga, Masaki AU - Ogawa, Seiji TI - Associations between anterior hypothalamic subunits and ADHD and autistic traits revealed by deep learning MRI segmentation T2 - Discover mental health J2 - Discov Ment Health PY - 2026 DA - 2026/06/21 VL - 6 IS - 1 SP - 166 SN - 2731-4383 PB - Springer DO - 10.1007/s44192-026-00521-5 UR - https://doi.org/10.1007/s44192-026-00521-5 LA - en ER -

CSL-JSON

{ "id": "10.1007/s44192-026-00521-5", "type": "article-journal", "title": "Associations between anterior hypothalamic subunits and ADHD and autistic traits revealed by deep learning MRI segmentation", "container-title": "Discover mental health", "author": [ { "family": "Choi", "given": "Uk-Su" }, { "family": "Kiyama", "given": "Sachiko" }, { "family": "Sung", "given": "Yul-Wan" }, { "family": "Fukunaga", "given": "Masaki" }, { "family": "Ogawa", "given": "Seiji" } ], "container-title-short": "Discov Ment Health", "volume": "6", "issue": "1", "page": "166", "DOI": "10.1007/s44192-026-00521-5", "PMID": "42323754", "PMCID": "PMC13529635", "ISSN": "2731-4383", "publisher": "Springer", "URL": "https://doi.org/10.1007/s44192-026-00521-5", "language": "en", "issued": { "date-parts": [ [ 2026, 6, 21 ] ] } }

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