Cedalion tutorial: a Python-based framework for comprehensive analysis of multimodal fNIRS and DOT from the lab to the everyday world.

Middell E, Carlton LB, Moradi S, Codina T, Fischer T, Cutler J, Kelley SM, Behrendt J, Dissanayake T, Harmening N, Yücel MA, Boas DA, von Lühmann A

Open source

DOI: 10.1117/1.nph.13.s3.s32602
Published: 2026 Aug
Container: Neurophotonics
Publisher: Not recorded
Open access: yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1117/1.nph.13.s3.s32602,
  title = {Cedalion tutorial: a Python-based framework for comprehensive analysis of multimodal fNIRS and DOT from the lab to the everyday world.},
  author = {Middell E and Carlton LB and Moradi S and Codina T and Fischer T and Cutler J and Kelley SM and Behrendt J and Dissanayake T and Harmening N and Yücel MA and Boas DA and von Lühmann A},
  year = {2026},
  journal = {Neurophotonics},
  doi = {10.1117/1.nph.13.s3.s32602},
  url = {https://doi.org/10.1117/1.nph.13.s3.s32602}
}

RIS

TY  - JOUR
TI  - Cedalion tutorial: a Python-based framework for comprehensive analysis of multimodal fNIRS and DOT from the lab to the everyday world.
AU  - Middell E
AU  - Carlton LB
AU  - Moradi S
AU  - Codina T
AU  - Fischer T
AU  - Cutler J
AU  - Kelley SM
AU  - Behrendt J
AU  - Dissanayake T
AU  - Harmening N
AU  - Yücel MA
AU  - Boas DA
AU  - von Lühmann A
PY  - 2026
JO  - Neurophotonics
DO  - 10.1117/1.nph.13.s3.s32602
UR  - https://doi.org/10.1117/1.nph.13.s3.s32602
ER  -

APA

E, M., LB, C., S, M., T, C., T, F., J, C., SM, K., J, B., T, D., N, H., MA, Y., DA, B., & A, V. L. (2026). Cedalion tutorial: a Python-based framework for comprehensive analysis of multimodal fNIRS and DOT from the lab to the everyday world.. Neurophotonics. https://doi.org/10.1117/1.nph.13.s3.s32602

Source records

pubmed · retrieved 2026-09-25T05:07:51.454Z