Author

Sara Fernández‐Cabello

University of SalzburgORCID 0000-0002-2589-8449Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Martin KronbichleriD· 2 shared Andreas DahliD· 1 shared Anneli D. TandbergiD· 1 shared Benedikt Andreas PoseriD· 1 shared Christian Krog TamnesiD· 1 shared Dag AlnæsiD· 1 shared Eivind YstrømiD· 1 shared Espen Moen EilertseniD· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersNeuroscience

Martin KronbichlerORCID

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3 papers

Recent·Most cited

Genetic and brain similarity independently predict childhood anthropometrics and socioeconomic markers

Andreas Dahl, Espen Moen Eilertsen, Sara Fernández‐Cabello, Linn Bonaventure Norbom, Anneli D. Tandberg, Esten Høyland Leonardsen, Sang Lee, Eivind Ystrøm, Christian Krog Tamnes, Dag Alnæs, Lars Tjelta Westlye

The paper examines how genetic and brain similarities predict childhood anthropometric and socioeconomic traits using a mixed model framework in the ABCD cohort.

bioRxiv · Aug 18, 2023 · PreprintNeuroscience

Evaluating the capabilities and challenges of layer-fMRI VASO at 3T

Laurentius Huber, Lisa Kronbichler, Rüdiger Stirnberg, Philipp Ehses, Tony Stöcker, Sara Fernández‐Cabello, Benedikt Andreas Poser, Martin Kronbichler

This paper evaluates 3T layer-fMRI VASO for cortical layer-specific functional imaging, finding it feasible for motor tasks despite thermal noise limitations.

Aperture Neuro · Aug 9, 2023Peer-reviewedNeuroscience

Basal forebrain volume reliably predicts the cortical spread of Alzheimer’s degeneration

Sara Fernández‐Cabello, Martin Kronbichler, Koene R. A. Van Dijk, James A Goodman, R. Nathan Spreng, Taylor W. Schmitz, on behalf of the Alzheimer’s Disease Neuroimaging Initiative

This study shows that basal forebrain volume predicts cortical degeneration in Alzheimer's disease, challenging the traditional view of pathogenesis.

Brain · Jan 17, 2020Peer-reviewedNeuroscience