Author

Hana Ali

University of Oxford

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· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Assay:imaging· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Andrea I. LuppiiD· 3 shared Bratislav MišićiD· 2 shared Filip MilisaviD· 2 shared Gustavo DecoiD· 2 shared Morten L. KringelbachiD· 2 shared Zhen-Qi LiuiD· 2 shared Alessandro GozziiD· 1 shared Arianna SalaiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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3 shared papersNeuroscience

Andrea I. LuppiORCID

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Author profile →

3 papers

Recent·Most cited

Generalisable signatures of anaesthesia in the large-scale functional organisation of the marmoset brain

Sebastian Dohnány, Katarina Jerotic, Davide Orsenigo, E. Serra, Hana Ali, Jonathan Buhler, Zhen-Qi Liu, Kanako Muta, Junichi Hata, Hideyuki Okano, Gustavo Deco, Morten L. Kringelbach, Andrea I. Luppi

This study shows that anaesthesia in marmosets alters large-scale brain organisation, similar to findings in humans and macaques, by constraining activity with structural connectivity and collapsing functional gradients.

bioRxiv · Jun 10, 2026 · PreprintNeuroscience

Cognitive cartography of mammalian brains using meta-analysis of AI experts

Andrea I. Luppi, Hana Ali, Zhen-Qi Liu, Filip Milisav, Arianna Sala, Jitka Annen, Alessandro Gozzi, Danilo Bzdok, Bratislav Mišić

This paper uses AI to analyze neuroscientific literature and discovers conserved cognitive circuits across species.

bioRxiv · Dec 3, 2025 · PreprintNeuroscience

An engine for systematic discovery of cause-effect relationships between brain structure and function

Andrea I. Luppi, Filip Milisav, Laura E. Suárez, Golia Shafiei, Jakub Vohryzek, Yonatan Sanz Perl, Hana Ali, Fernando E. Rosas, Pedro A. M. Mediano, Bratislav Mišić, Gustavo Deco, Morten L. Kringelbach

The paper introduces a computational engine to systematically discover cause-effect relationships between brain structure and function using in-silico brain models.

bioRxiv · Apr 5, 2025 · PreprintNeuroscience