Author

Jyrki M. P. Lötjönen

Universitat Pompeu FabraORCID 0000-0002-8698-4340Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:imaging· 2 Research Focus:differential expression· 1

Frequent Co-Authors

Juha R. KoikkalaineniD· 2 shared Alessandra BorsiniiD· 1 shared Ana AgustíiD· 1 shared Ana VerdelhoiD· 1 shared Anders WalliniD· 1 shared Annamaria CattaneoiD· 1 shared Antti Brander· 1 shared Antti J ToloneniD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersNeuroscience

Juha R. KoikkalainenORCID

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3 papers

Recent·Most cited

Neighborhood-Level Disadvantage Impacts Multiple Measures of Brain Health: An Imaging Epidemiology Study

Ethan H. Willbrand, Elizabeth M. Stoeckl, Daryn S. Belden, Sheena Y. Chu, Eleanna M. Melcher, Daniil Zhitnitskii, Elena M. Bonke, Jussi Mattila, Usman Iftikhar, Juha R. Koikkalainen, Antti J Tolonen, Jyrki M. P. Lötjönen, Richard J. Bruce, John‐Paul J. Yu

This study investigates the association between neighborhood-level socioeconomic disadvantage and brain morphometry using neuroimaging data from 2,826 individuals, finding higher brain age gap, lower total brain volume, and increased white matter hyperintensity in disadvantaged neighborhoods.

bioRxiv · Mar 18, 2026 · PreprintNeuroscience

Identifying Causative Mechanisms Linking Early-Life Stress to Psycho-Cardio-Metabolic Multi-Morbidity: The EarlyCause Project

Nicole Mariani, Alessandra Borsini, Charlotte A. M. Cecil, Janine F. Felix, Sylvain P Sebert, Annamaria Cattaneo, Esther Walton, Yuri Milaneschi, Guy Cochrane, Clara Amid, Jeena Rajan, Juliette Giacobbe, Yolanda Sanz, Ana Agustí, Tania Sorg, , Karim Lekadir

The paper outlines the protocol for the EarlyCause project, which investigates the biological mechanisms linking early-life stress to psycho-cardio-metabolic multi-morbidity using longitudinal data, animal models, and cellular systems.

PLoS ONE · Jan 21, 2021Peer-reviewedNeuroscience

Automated quantification of small vessel disease brain changes on MRI predicts cognitive and functional decline

Hanna Jokinen, Juha R. Koikkalainen, Hanna M. Laakso, Susanna Melkas, Tuomas Nieminen, Antti Brander, Antti Korvenoja, Daniel Rueckert, Frederik Barkhof, Philip Scheltens, Reinhold Schmidt, Franz Fazekas, Sofia Madureira, Ana Verdelho, Anders Wallin, , Timo Erkinjuntti

The paper uses automated MRI segmentation to quantify SVD brain changes and shows they predict cognitive and functional decline.

Stroke · Nov 8, 2019Peer-reviewedNeuroscience