Author

Massimiliano Facca

University of Padua

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

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Organism:human· 4 Assay:imaging· 4 Approach:statistical model· 4 Research Focus:cell-cell communication· 2 Assay:bulk RNA-seq· 1 Research Focus:dimensionality reduction· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Alessandra BertoldoiD· 4 shared Andrei G. VlassenkoiD· 3 shared Claudia TarriconeiD· 3 shared Manu S. GoyaliD· 3 shared Anna Ridolfo· 2 shared Giorgia BaroniD· 2 shared Maurizio CorbettaiD· 2 shared Tommaso VolpiiD· 2 shared

Activity by Year

2026-2026 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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4 shared papersNeuroscience

Alessandra BertoldoORCID

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4 papers

Recent·Most cited

Eigenmode decomposition of asymmetries in whole-brain effective connectivity reveals multiscale hierarchical dynamics

Giorgia Baron, Giacomo Baggio, Massimiliano Facca, Danilo Benozzo, Alessandro Chiuso, Sandro Zampieri, Alessandra Bertoldo

This paper decomposes whole-brain effective connectivity to reveal multiscale hierarchical dynamics and their relation to temporal irreversibility and individual-specific signatures.

iScience · Oct 30, 2026Peer-reviewedNeuroscience

Unveiling functional-metabolic synergy in the healthy brain: multivariate integration of dynamic FDG-PET and resting-state fMRI

Claudia Tarricone, Giulia Vallini, Giorgia Baron, Massimiliano Facca, Erica Silvestri, Tommaso Volpi, Andrei G. Vlassenko, Manu S. Goyal, Alessandra Bertoldo

This paper uses multivariate PLSC to analyze functional-metabolic coupling in the brain, finding strong links between fMRI-derived functional connectivity and glucose metabolism parameters.

Human Brain Mapping · Sep 30, 2026Peer-reviewedNeuroscience

Individual-level metabolic connectivity captures cortical morphology and their coupling strengthens with age

Massimiliano Facca, Claudia Tarricone, Anna Ridolfo, Maurizio Corbetta, Andrei G. Vlassenko, Manu S. Goyal, Alessandra Bertoldo

bioRxiv · Mar 4, 2026 · PreprintNeuroscience

Glucose Metabolism echoes Long-Range Temporal Correlations in the Human Brain

Massimiliano Facca, Anna Ridolfo, Miriam Celli, Claudia Tarricone, Ilaria Mazzonetto, Tommaso Volpi, Andrei G. Vlassenko, Manu S. Goyal, Maurizio Corbetta, Alessandra Bertoldo

This study links long-range temporal correlations in brain activity to glucose metabolism and biosynthetic processes, showing higher correlations correlate with greater metabolic costs.

Imaging Neuroscience · Jan 1, 2026Peer-reviewedNeuroscience