Author

Archana Singh‐Manoux

InsermORCID 0000-0002-1244-5037Unclaimed ORCID profile · follow to get notified of new preprints

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Neuroscience· 4

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Organism:human· 4 Research Focus:differential expression· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:gene regulatory network inference· 2 Assay:imaging· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1

Frequent Co-Authors

Enikő ZsoldosiD· 4 shared Klaus P. EbmeieriD· 4 shared Mika Kivimaki BiD· 4 shared Sana SuriiD· 4 shared Clare E. MackayiD· 2 shared Daria E. A. JenseniD· 2 shared Ludovica GriffantiiD· 2 shared Michelle G. JanseniD· 2 shared

Activity by Year

2020-2023 · peak 2/yr

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10 top collaborators · 40 mutual co-author links

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4 shared papersNeuroscience

Enikő ZsoldosORCID

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4 papers

Recent·Most cited

The association of longitudinal diet and waist-to-hip ratio from midlife to old age with hippocampus connectivity and memory in old age: a cohort study

Daria E. A. Jensen, Klaus P. Ebmeier, Tasnime Nassime Akbaraly, Michelle G. Jansen, Archana Singh‐Manoux, Mika Kivimaki B, Enikő Zsoldos, Miriam C. Klein-Flügge, Sana Suri

bioRxiv · Dec 12, 2023 · PreprintNeuroscience

Integrating large-scale neuroimaging research datasets: harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets

Valentina Bordin, Ilaria Bertani, Irene Mattioli, Vaanathi Sundaresan, Paul McCarthy, Sana Suri, Enikő Zsoldos, Nicola Filippini, Abda Mahmood, Luca Melazzini, Maria Marcella Laganà, Giovanna Zamboni, Archana Singh‐Manoux, Mika Kivimaki B, Klaus P. Ebmeier, , Ludovica Griffanti

This paper harmonises white matter hyperintensity measurements across two neuroimaging datasets by standardising preprocessing and modelling demographic and physiological differences.

NeuroImage · May 19, 2021Peer-reviewedNeuroscience

Individual variation in brain structural-cognition relationships in aging

Raihaan Patel, Clare E. Mackay, Michelle G. Jansen, Gabriel A. Devenyi, M Clare O'Donoghue, Mika Kivimaki B, Archana Singh‐Manoux, Enikő Zsoldos, Klaus P. Ebmeier, M. Mallar Chakravarty, Sana Suri

This paper identifies two latent brain structure-cognition associations in aging using longitudinal data from the Whitehall II Study, showing how structural variations predict cognitive decline and maintenance.

bioRxiv · Feb 19, 2021 · PreprintNeuroscience

Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study

Ann‐Marie G. de Lange, Melis Anatürk, Sana Suri, Tobias Kaufmann, James Howard Cole, Ludovica Griffanti, Enikő Zsoldos, Daria E. A. Jensen, Nicola Filippini, Archana Singh‐Manoux, Mika Kivimaki B, Lars Tjelta Westlye, Klaus P. Ebmeier

The paper predicts brain age using multimodal MRI data from the Whitehall II cohort and links brain aging to cardiovascular risk factors.

NeuroImage · Aug 21, 2020Peer-reviewedNeuroscience