fMRIPrep Lifespan: Extending A Robust Pipeline for Functional MRI Preprocessing to Developmental Neuroimaging Article Swipe
Mathias Goncalves
,
Julia Moser
,
Thomas Madison
,
R. E. McCollum
,
Jacob T. Lundquist
,
Begim Fayzullobekova
,
Lidia Hadera
,
Han Pham
,
Lucille A. Moore
,
Audrey Houghton
,
Greg Conan
,
Martin Styner
,
Dimitrios Alexopoulos
,
Christopher D. Smyser
,
Sally M. Stoyell
,
Sanju Koirala
,
Scott M. Nelson
,
Kimberly B. Weldon
,
Erik Lee
,
Robert Hermosillo
,
Luca Vizioli
,
Essa Yacoub
,
Gaurav H. Patel
,
Juan Manuel Sánchez Céspedes
,
Kenneth Wengler
,
Taylor Salo
,
Theodore D. Satterthwaite
,
Jed T. Elison
,
Christopher J. Markiewicz
,
Russell A. Poldrack
,
Eric Feczko
,
Oscar Estéban
,
Damien A. Fair
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1101/2025.05.14.654069
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1101/2025.05.14.654069
The adoption of a standardized preprocessing workflow is vital for fostering community, sharing, and reproducibility. fMRIPrep has been a critical advancement towards this end, however, it is limited in its capacity to be applied to data across the lifespan, starting from infancy. Here, we introduce fMRIPrep Lifespan, an extension of fMRIPrep that extends the standardized processing from childhood to senescence to include neonatal, infant, and toddler structural and functional MRI data preprocessing. This effort involves a NiPreps integration of 1) a workflow akin to fMRIPrep optimized for MRI data in the first years of life (previously NiBabies) and 2) upstream enhancements to the entire NiPreps suite, including multi-echo data processing, modularization of workflow components, and convergence of processing with other popular workflows (ABCD-BIDS, Human Connectome Project Pipelines). Using data from the Baby Connectome Project (participants 1-43 months of age), we demonstrate that fMRIPrep Lifespan produces high-quality outputs across a wide age range. Moving forward, the scalable, modular infrastructure of fMRIPrep Lifespan will ensure adaptability to data from birth to old age while maintaining robust and reproducible frameworks for functional MRI research across the lifespan.
Related Topics
Concepts
Workflow
Computer science
Scalability
Pipeline (software)
Preprocessor
Modularity (biology)
Modular design
Data pre-processing
Human Connectome Project
Neuroimaging
Artificial intelligence
Data science
Psychology
Database
Neuroscience
Biology
Functional connectivity
Genetics
Programming language
Operating system
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2025.05.14.654069
- https://www.biorxiv.org/content/biorxiv/early/2025/05/18/2025.05.14.654069.full.pdf
- OA Status
- green
- Cited By
- 4
- References
- 66
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410472486
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410472486Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2025.05.14.654069Digital Object Identifier
- Title
-
fMRIPrep Lifespan: Extending A Robust Pipeline for Functional MRI Preprocessing to Developmental NeuroimagingWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-05-18Full publication date if available
- Authors
-
Mathias Goncalves, Julia Moser, Thomas Madison, R. E. McCollum, Jacob T. Lundquist, Begim Fayzullobekova, Lidia Hadera, Han Pham, Lucille A. Moore, Audrey Houghton, Greg Conan, Martin Styner, Dimitrios Alexopoulos, Christopher D. Smyser, Sally M. Stoyell, Sanju Koirala, Scott M. Nelson, Kimberly B. Weldon, Erik Lee, Robert Hermosillo, Luca Vizioli, Essa Yacoub, Gaurav H. Patel, Juan Manuel Sánchez Céspedes, Kenneth Wengler, Taylor Salo, Theodore D. Satterthwaite, Jed T. Elison, Christopher J. Markiewicz, Russell A. Poldrack, Eric Feczko, Oscar Estéban, Damien A. FairList of authors in order
- Landing page
-
https://doi.org/10.1101/2025.05.14.654069Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2025/05/18/2025.05.14.654069.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.biorxiv.org/content/biorxiv/early/2025/05/18/2025.05.14.654069.full.pdfDirect OA link when available
- Concepts
-
Workflow, Computer science, Scalability, Pipeline (software), Preprocessor, Modularity (biology), Modular design, Data pre-processing, Human Connectome Project, Neuroimaging, Artificial intelligence, Data science, Psychology, Database, Neuroscience, Biology, Functional connectivity, Genetics, Programming language, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4Per-year citation counts (last 5 years)
- References (count)
-
66Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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