Author

Jenni Leppänen

King's College LondonORCID 0000-0003-2814-4375Unclaimed 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 Assay:imaging· 2 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Steven WilliamsiD· 2 shared Adam PavlinekiD· 1 shared Aldar Cabrelles Munoz· 1 shared Aleksa Milevic· 1 shared Alex TsompanidisiD· 1 shared Alexander E. P. HeazelliD· 1 shared Alice FrankliniD· 1 shared Angelo Arias-MagnascoiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersNeuroscience

Steven WilliamsORCID

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3 papers

Recent·Most cited

GenomicsCell GenomicsPeer-reviewedSep 25, 2025

Cell-type-specific DNA methylation dynamics in the prenatal and postnatal human cortex

Alice Franklin, Jonathan P. Davies, Nicholas E. Clifton…·Covadonga M. Diaz-Caneja

This study identifies cell-type-specific DNA methylation dynamics in the human cortex across development, highlighting prenatal periods as critical for epigenomic plasticity and linking changes to neurodevelopmental disorders.

9 citations

humanDNA methylation

𝕏 PostBluesky

NeurosciencebioRxivPreprintDec 11, 2023

Predicting Anorexia Nervosa and Autistic Characteristics in Individuals with Anorexia Nervosa from Resting State Cyclic Connectivity.

Daniel Halls, Jenni Leppänen, Steven Williams, Kate Tchanturia

The paper predicts anorexia nervosa and autistic characteristics from resting state cyclic connectivity in individuals with anorexia nervosa using rsfMRI data.

DOI 10.1101/2023.12.11.571092

humanimaging

𝕏 PostBluesky

NeuroscienceMagnetic Resonance ImagingPeer-reviewedFeb 15, 2021

Sailing in rough waters: examining volatility of fMRI noise

Jenni Leppänen, Henry Stone, David J. Lythgoe…·Blanka N. Horvath

The paper models fMRI noise volatility using financial mathematics methods, finding it to be highly irregular with Hurst parameter H < 0.5.

1 citation

humanimaging

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