Author

Brayan Alves

Centre d'Imagerie BioMedicale

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· 4

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Organism:rat· 3 Approach:statistical model· 3 Assay:imaging· 2 Assay:multiome· 2 Approach:experimental assay· 1 Approach:simulation· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Bernard LanziD· 4 shared Cristina CudalbuiD· 4 shared Alessio SivigliaiD· 3 shared Gianna NossaiD· 2 shared Anna DuguidiD· 1 shared Bernhard StrasseriD· 1 shared Eloïse MougeliD· 1 shared Fabian NiessiD· 1 shared

Activity by Year

2025-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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4 shared papersNeuroscience

Bernard LanzORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Impacts of retrospective lipid suppression on metabolite quantification in preclinical proton MR spectroscopic imaging

Phan Tan Toi, Brayan Alves, Bernard Lanz, Cristina Cudalbu

This study evaluates how retrospective lipid suppression affects metabolite quantification in preclinical proton MRSI, showing significant impacts under high lipid contamination.

bioRxiv · Sep 21, 2026 · PreprintNeuroscience

Metabolic modelling and time-resolved mapping of glucose oxidative metabolism in rats brain by indirect deuterium detection with 1H-FID-MRSI at 9.4T

Alessio Siviglia, Gianna Nossa, Brayan Alves, Fabian Niess, Anna Duguid, Zenon Starčuk, Wolfgang Bogner, Bernhard Strasser, Cristina Cudalbu, Bernard Lanz

This study uses dynamic 1H-[2H]-FID-MRSI and a metabolic model to quantify glucose oxidative metabolism in rat brain regions during 2H-Glc infusion.

Magnetic Resonance Materials in Physics Biology and Medicine · May 27, 2026Peer-reviewedNeuroscience

Towards harmonized spectral quantification in MRSI: Comparative analysis of Backward-Linear-Predicted and original 1H-FID-MRSI dephased data

Alessio Siviglia, Brayan Alves, Cristina Cudalbu, Bernard Lanz

The paper compares Backward-Linear-Prediction (BLP) and original 1H-FID-MRSI data to assess quantification biases caused by acquisition delay and shows BLP improves consistency across different delays.

Magnetic Resonance Materials in Physics Biology and Medicine · May 14, 2026Peer-reviewedNeuroscience

MRS4Brain: a processing toolbox for preclinical MR spectroscopy and spectroscopic imaging data

Brayan Alves, Tan Toi Phan, Guillaume Briand, Alessio Siviglia, Gianna Nossa, Jessie Mosso, Eloïse Mougel, Jamie Near, Thi Ngoc Anh Dinh, Omar Zenteno, Bernard Lanz, Thanh Phong Lê, Cristina Cudalbu

MRS4Brain provides a MATLAB-based toolbox for preclinical MR spectroscopy and imaging, streamlining data processing and improving reproducibility and accessibility.

bioRxiv · Dec 16, 2025 · PreprintNeuroscience