Author

CALM Team

MRC Cognition and Brain Sciences Unit

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· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

3R-BRAIN· 1 shared Aaron F. Alexander‐BlochiD· 1 shared AIBL· 1 shared Alzheimer’s Disease Neuroimaging Initiative· 1 shared Alzheimer’s Disease Repository Without Borders Investigators· 1 shared Andrea M. SantangeloiD· 1 shared Anita RandolphiD· 1 shared Arielle S. KelleriD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

3R-BRAIN

Mutual co-authors in cluster

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3 papers

Recent·Most cited

ADHD and intelligence polygenic scores associations with developmental dimensions in children with attention, learning and memory difficulties

Andrea M. Santangelo, Olena Ohlei, Silvana Mareva, Diandra Brkić, CALM Team, Lars Bertram, Joni Holmes, Duncan Edward Astle, Kate Baker

The paper examines associations between ADHD and intelligence polygenic scores and developmental dimensions in children with attention, learning, and memory difficulties, finding significant links with cognitive and behavioral traits.

European Child & Adolescent Psychiatry · Jun 13, 2026Peer-reviewedGenetic & Genomic Medicine

Functional connectivity correlates of the hierarchical p-factor model in youth at neurodevelopmental risk

Rebeca Ianov Vitanov, Danyal Akarca, CALM Team, Sarah Elizabeth Morgan, Jonathan Spencer Jones

The paper examines functional connectivity patterns in youth at neurodevelopmental risk, linking mental health dimensions to brain network organization.

bioRxiv · May 4, 2026 · PreprintNeuroscience

Study design features increase replicability in cross-sectional and longitudinal brain-wide association studies

Kaidi Kang, Jakob Seidlitz, Richard A. I. Bethlehem, Jiangmei Xiong, Megan T. Jones, Kahini P. Mehta, Arielle S. Keller, Ran Tao, Anita Randolph, Bart Larsen, Brenden Tervo‐Clemmens, Eric Feczko, Óscar Miranda-Domínguez, Steve Nelson, 3R-BRAIN, , Simon Vandekar

This study shows that optimizing study design, such as increasing age variability and adding longitudinal measurements, improves replicability and effect sizes in brain-wide association studies.

Nature · Nov 27, 2024Peer-reviewedNeuroscience