Author

Enrico Premi

Azienda Socio Sanitaria Territoriale degli Spedali Civili di BresciaORCID 0000-0002-4342-6963Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 5

Signature Assays, Organisms & Methods

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Organism:human· 5 Research Focus:differential expression· 4 Assay:imaging· 4 Approach:statistical model· 4 Research Focus:clustering· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

Barbara BorroniiD· 3 shared Alessandro PadovaniiD· 2 shared Alexandre de MendonçaiD· 2 shared Andrea ArighiiD· 2 shared Andrea NaniiD· 2 shared Caroline GraffiD· 2 shared Chiara FenoglioiD· 2 shared Christin Andersson· 2 shared

Activity by Year

2018-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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3 shared papersNeuroscience

Barbara BorroniORCID

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5 papers

Recent·Most cited

Mapping Amyloid Networks in Alzheimer's Disease: A High-Order ICA Approach to Gray and White Matter Pathology

Nigar Khasayeva, Kyle M. Jensen, Cyrus Eierud, Helen Petropoulos, Allan I. Levey, James J. Lah, Ruiyan Luo, Enrico Premi, Barbara Borroni, Jiayu Chen, Vince D. Calhoun, Armin Iraji

This study uses high-order ICA on PET scans to identify amyloid-beta networks in Alzheimer's Disease, revealing distinct gray and white matter patterns associated with cognitive impairment.

bioRxiv · Mar 21, 2025 · PreprintNeuroscience

Analysis of brain atrophy and local gene expression in genetic frontotemporal dementia

André Altmann, David M. Cash, Martina Bocchetta, Carolin Heller, Regina Hertfelder Reynolds, Katrina M. Moore, Rhian S. Convery, David Lee Thomas, John Cornelis Van Swieten, Fermín Moreno, Raquel Sánchez‐Valle, Barbara Borroni, Robert Jr Laforce, Mario Masellis, Maria Carmela Tartaglia, , Philip Van Damme

The paper investigates the relationship between gene expression and brain atrophy in genetic frontotemporal dementia, finding correlations between atrophy patterns and specific gene sets related to vascular, glial, and neuronal functions.

Brain Communications · Jan 1, 2020Peer-reviewedNeuroscience

Hubs of long-distance co-alteration in brain pathology

Franco Cauda, Lorenzo Mancuso, Andrea Nani, Jordi Manuello, Donato Liloia, Gabriele Gelmini, Linda Alice Ficco, Enrico Premi, Sergio Duca, Tommaso Costa

The paper analyzes co-alterations in brain pathology across disorders, finding that long-distance co-alterations identify key pathological hubs and relate to functional connectivity.

bioRxiv · Nov 19, 2019 · PreprintNeuroscience

Addressing reverse inference in structural brain alterations

Franco Cauda, Andrea Nani, Donato Liloia, Jordi Manuello, Enrico Premi, Sergio Duca, Peter T. Fox, Tommaso Costa

The paper uses Bayes factor analysis on voxel-based morphometry data to assess the specificity of brain alterations in schizophrenia and Alzheimer's disease, finding that more disease-specific areas are altered earlier.

bioRxiv · Feb 20, 2019 · PreprintNeuroscience

Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

Alexandra L. Young, Razvan Valentin Marinescu, Neil P. Oxtoby, Martina Bocchetta, Keir X. X. Yong, Nicholas C. Firth, David M. Cash, David Lee Thomas, Katrina M. Dick, M. Jorge Cardoso, John Cornelis Van Swieten, Barbara Borroni, Daniela Galimberti, Mario Masellis, Maria Carmela Tartaglia, , Ronald G. Thomas

This paper introduces SuStaIn, a machine learning method that identifies disease subtypes and their temporal progression from cross-sectional data, improving prediction of diagnostic conversion in neurodegenerative diseases.

Nature Communications · Oct 9, 2018Peer-reviewedNeuroscience