Evidence map›Paper›PMID 42312086›Full record

ArticleImaging neuroscience (Cambridge, Mass.)

QuNex recipes: Executable, human-readable workflows for reproducible neuroimaging research.

Jure Demšar, Aleksij Kraljič, Andraž Matkovič, Samuel Brege, Lining Pan, Zailyn Tamayo, Clara Fonteneau, Markus Helmer, Jie Lisa Ji, Alan Anticevic and 7 more

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Jure DemšarFaculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia.ORCID https://orcid.org/0000-0001-6080-149X
Aleksij KraljičMind & Brain Lab, Department of Psychology, Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia.
Andraž MatkovičMind & Brain Lab, Department of Psychology, Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia.
Samuel BregeDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
Lining PanDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
Zailyn TamayoDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
Clara FonteneauDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
Markus HelmerDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
Jie Lisa JiDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
Alan AnticevicDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
Cole KorponayMcLean Hospital, Harvard Medical School, Belmont, MA, United States.
Melissa SalavrakosMcLean Hospital, Harvard Medical School, Belmont, MA, United States.
Daniel DruckerMcLean Hospital, Harvard Medical School, Belmont, MA, United States.
Matthew F GlasserDepartment of Radiology, Washington University in St. Louis, St. Louis, MO, United States.
Lisa D NickersonMcLean Hospital, Harvard Medical School, Belmont, MA, United States.
Youngsun T ChoDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
Grega RepovšMind & Brain Lab, Department of Psychology, Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia.

Funding

Combining Computational Methods, RDoC, and Big Neuroimaging Data to Understand Mechanisms of Neuropsychiatric Symptoms in Alzheimer's DiseaseRF1AG078304 · NIA · MCLEAN HOSPITAL · PI HARPER, DAVID G, NICKERSON, LISA D · 2022 to 2025
$4.4M
NIA NIH HHS RF1 AG078304
6 · The paper itself

Abstract

Preprocessing and analysis of neuroimaging data are technically demanding, often requiring a combination of multiple software tools, modality-specific pipelines, and extensive parameter tuning to match dataset characteristics. These complexities make it difficult to document workflows in sufficient detail to ensure complete transparency and reproducibility. To address these challenges, we introduce

Indexed as

data analysis and reproducibilitydata processingneuroimaging

Identifiers

PMID42312086
PMCPMC13271150

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.