Author

Laura Mildred Cabral

University of Pittsburgh

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Assay:multiome· 1

Frequent Co-Authors

Beatríz LunaiD· 3 shared Will ForaniD· 3 shared Ashok PanigrahyiD· 2 shared Damien A. FairiD· 2 shared Finnegan J. CalabroiD· 2 shared Jerod M. RasmusseniD· 2 shared Adam Richie-HalfordiD· 1 shared Adam Robert PinesiD· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersNeuroscience

Beatríz LunaORCID

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Author profile →

3 papers

Recent·Most cited

Multivariate and Regional Age-Related Change in Basal Ganglia Iron in Neonates

Laura Mildred Cabral, Finnegan J. Calabro, Will Foran, Ashley C. Parr, Amar Ojha, Jerod M. Rasmussen, Rafael C. Ceschin, Ashok Panigrahy, Beatríz Luna

The paper examines age-related changes in basal ganglia iron levels in neonates using rsfMRI data, finding postnatal age associations in specific subregions and preterm birth effects.

Cerebral Cortex · Nov 20, 2023Peer-reviewedNeuroscience

Gestational and postnatal age associations for striatal tissue iron deposition in early infancy

Laura Mildred Cabral, Finnegan J. Calabro, Jerod M. Rasmussen, Will Foran, Lucille A. Moore, Alice M. Graham, Thomas G. O’Connor, Pathik D. Wadhwa, Sonja Entringer, Damien A. Fair, Claudia Buß, Ashok Panigrahy, Beatríz Luna

The paper measures striatal iron deposition in neonates using MRI and finds age-related changes in specific subregions but not others.

Developmental Cognitive Neuroscience · Jul 25, 2023Peer-reviewedNeuroscience

QSIPrep: An integrative platform for preprocessing and reconstructing diffusion MRI

Matthew Cieslak, Philip A. Cook, Xiaosong He, Fang-Cheng F. Yeh, Thijs Dhollander, Azeez Adebimpe, Geoffrey K. Aguirre, Danielle S. Bassett, Richard F. Betzel, Josiane Bourque, Laura Mildred Cabral, Christos A. Davatzikos, John A. Detre, Eric Earl, Mark A. Elliott, , Theodore Daniel Satterthwaite

QSIPrep is a software platform for preprocessing diffusion MRI data that supports multiple sampling schemes and ensures reproducibility through standardized workflows and quality measures.

bioRxiv · Sep 4, 2020 · PreprintBioinformatics