Author

Hannah Kiesow

RWTH Aachen UniversityORCID 0000-0002-3829-787XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1

Frequent Co-Authors

Danilo BzdokiD· 3 shared André F. MarquandiD· 1 shared Avram J. HolmesiD· 1 shared B.T. Thomas YeoiD· 1 shared Boris C. BernhardtiD· 1 shared Joseph W. KableiD· 1 shared Lucina Q. UddiniD· 1 shared M. Mallar ChakravartyiD· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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3 shared papersNeuroscience

Danilo BzdokORCID

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3 papers

Recent·Most cited

Dissecting the midlife crisis: Disentangling social, personality and demographic determinants in social brain anatomy

Hannah Kiesow, Lucina Q. Uddin, Boris C. Bernhardt, Joseph W. Kable, Danilo Bzdok

The paper investigates how social, personality, and demographic factors influence brain structure in midlife using UK Biobank data.

Communications Biology · Jun 17, 2021Peer-reviewedNeuroscience

Population variability in social brain morphology:links to socioeconomic status and health disparity

Nathania Suryoputri, Hannah Kiesow, Danilo Bzdok

The paper examines how socioeconomic status and health status affect brain morphology in a population cohort using generative probabilistic modeling.

bioRxiv · Sep 24, 2020 · PreprintNeuroscience

Hidden population modes in social brain morphology: Its parts are more than its sum

Hannah Kiesow, R. Nathan Spreng, Avram J. Holmes, M. Mallar Chakravarty, André F. Marquand, B.T. Thomas Yeo, Danilo Bzdok

The paper identifies hidden population-level subnetworks in social brain morphology using deep learning on UK Biobank data, showing they predict social traits and loneliness.

bioRxiv · Aug 7, 2020 · PreprintNeuroscience