Author

Andrei Bieger

Universidade Federal do Rio Grande do SulORCID 0000-0002-6669-2834Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:GWAS summary statistics· 1 Assay:imaging· 1

Frequent Co-Authors

Eduardo Rigon ZimmeriD· 2 shared Giordana Salvi de SouzaiD· 2 shared Guilherme PovalaiD· 2 shared Marco Antônio De BastianiiD· 2 shared Alastair John NoyceiD· 1 shared Alzheimer’s Disease Neuroimaging Initiative· 1 shared Artur Francisco Schumacher SchuhiD· 1 shared Artur Martins CoutinhoiD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersNeuroscience

Eduardo Rigon ZimmerORCID

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3 papers

Recent·Most cited

Metabolic brain network reorganization precedes clinical conversion in Alzheimer's disease

Christian Limberger, Guilherme Garcia Schu, Giordana Salvi de Souza, Marco Antônio De Bastiani, Andrei Bieger, Gabriel Bueno Martins, Giovanna Carello‐Collar, Guilherme Povala, Luiza Santos Machado, Thomas Hugentobler Schlickmann, Alzheimer’s Disease Neuroimaging Initiative, Tharick Ali Pascoal, Pedro Rosa‐Neto, Débora G. de Souza, Eduardo Rigon Zimmer

The paper identifies hyperconnected metabolic networks in preclinical Alzheimer's converters using FDG-PET data, showing network reorganization precedes clinical conversion.

bioRxiv · Aug 7, 2026 · PreprintNeuroscience

Sources of Variability in Normative Cerebral FDG-PET imaging

Giordana Salvi de Souza, Guilherme Povala, Guilherme G. Schu Peixoto, Artur Martins Coutinho, Andrei Bieger, Mateus Rozalem Aranha, Marco Antônio De Bastiani, Eduardo Rigon Zimmer, Wyllians Vendramini Borelli, Laura Willers Souza

The paper investigates variability in FDG-PET imaging due to scanner manufacturer, reference region, age, and sex, and generates covariate-adjusted normative data.

bioRxiv · Aug 5, 2026 · PreprintNeuroscience

Diversity in Parkinson's disease genetics research: current landscape and future directions

Artur Francisco Schumacher Schuh, Andrei Bieger, Olaitan Okunoye, Kin Ying Mok, Shen‐Yang Lim, Soraya Bardien, Azlina Ahmad‐Annuar, Bruno Lopes Santos‐Lobato, Matheus Zschornack Strelow, Mohamed Salama, Shilpa C. Rao, Yared Zenebe Zewde, Saiesha Dindayal, Jihan Azar, Prashanth Lingappa Kukkle, , Global Parkinson's Genetics Program (GP2)

This paper reviews the lack of diversity in Parkinson's disease genetics research, highlighting underrepresentation of non-European populations and the need for more inclusive studies.

Movement Disorders · Jul 22, 2022Peer-reviewedGenetic & Genomic Medicine