Author

Jack Waldman

University of Cambridge

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· 5 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 6 Approach:statistical model· 6 Assay:imaging· 4 Research Focus:cell type annotation· 3 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

Amber N. V. RuigrokiD· 6 shared Meng‐Chuan LaiiD· 5 shared Prantik KunduiD· 5 shared Rosemary HoltiD· 5 shared Simon Baron‐CoheniD· 5 shared Antonia San José CáceresiD· 4 shared Bethany F. M. OakleyiD· 4 shared Bonnie Auyeung BiD· 4 shared

Activity by Year

2016-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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6 shared papersNeuroscience

Amber N. V. RuigrokORCID

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Author profile →

6 papers

Recent·Most cited

Patterns of connectome variability in autism across five functional activation tasks. Findings from the LEAP project

Tristan Looden, Dorothea L. Floris, Alberto Llera, Roselyne J. Chauvin, Tony Charman, Tobias Banaschewski, Declan Murphy, André F. Marquand, Jan K. Buitelaar, Christian F. Beckmann, the AIMS-2-TRIALS group, Jumana Ahmad, Sara Ambrosino, Bonnie Auyeung B, Simon Baron‐Cohen, , Marcel P. Zwiers

The paper identifies patterns of neural variability in autism using fMRI across tasks, finding greater global connectivity deviations and similar spatial patterns in autistic individuals compared to controls.

Molecular Autism · Dec 27, 2022Peer-reviewedNeuroscience

Autism is associated with inter-individual variations of gray and white matter morphology

Ting Mei, Natalie J. Forde, Dorothea L. Floris, Flavio Dell’Acqua, Richard Stones, Iva Ilioska, Sarah Durston, Carolin Moessnang, Tobias Banaschewski, Rosemary Holt, Simon Baron‐Cohen, Annika Rausch, Eva Loth, Bethany F. M. Oakley, Tony Charman, , Alberto Llera

The paper identifies a multimodal brain pattern associated with autism by integrating gray and white matter morphology data and linking it to clinical symptoms.

Biological Psychiatry Cognitive Neuroscience and Neuroimaging · Sep 5, 2022Peer-reviewedNeuroscience

Genetic correlates of phenotypic heterogeneity in autism

Varun Warrier, Xinhe Zhang, Patrick Reed, Alexandra Havdahl, Tyler M. Moore, Freddy Cliquet, Claire S. Leblond, Thomas Rolland, Anders Rosengren, EU-AIMS LEAP, Antonia San José Cáceres, Hannah Hayward, Daisy Crawley, Jessica Faulkner, Jessica Sabet, , Simon Baron‐Cohen

This study identifies genetic correlates of phenotypic heterogeneity in autism by analyzing common and de novo variants across core features and co-occurring disabilities.

Nature Genetics · Jun 2, 2022Peer-reviewedGenetic & Genomic Medicine

Atypical brain asymmetry in autism - a candidate for clinically meaningful stratification

Dorothea L. Floris, Thomas Wolfers, Mariam Zabihi, Nathalie E. Holz, Marcel P. Zwiers, Tony Charman, Julian Tillmann, Christine Ecker, Flavio Dell’Acqua, Tobias Banaschewski, Carolin Moessnang, Simon Baron‐Cohen, Rosemary Holt, Sarah Durston, Eva Loth, , Caroline Wooldridge

The paper identifies atypical brain asymmetry in autism as a potential neurophenotype for stratification, showing individualized patterns linked to symptom severity and language delay.

Biological Psychiatry Cognitive Neuroscience and Neuroimaging · Aug 24, 2020Peer-reviewedNeuroscience

Sex-specific impact of prenatal androgens on intrinsic functional connectivity between social brain default mode subsystems

Michael Vincent Lombardo, Bonnie Auyeung B, Tiziano Pramparo, Angélique Quartier, Jérémie Courraud, Rosemary Holt, Jack Waldman, Amber N. V. Ruigrok, Natasha Mooney, Richard A. I. Bethlehem, Meng‐Chuan Lai, Prantik Kundu, Edward Thomas Bullmore, Jean‐Louis Mandel, Amélie Piton, Simon Baron‐Cohen

The paper investigates how prenatal androgens affect functional connectivity in social brain networks, finding sex-specific impacts on adolescent males.

Molecular Psychiatry · Aug 13, 2018Peer-reviewedNeuroscience

Improving effect size estimation and statistical power with multi-echo fMRI and its impact on understanding the neural systems supporting mentalizing

Michael V. Lombardo, Bonnie Auyeung, Rosemary J Holt, Jack Waldman, Amber N. V. Ruigrok, Natasha Mooney, Edward T Bullmore, Simon Baron-Cohen, Prantik Kundu

This paper shows that removing non-BOLD artifacts using ME-ICA improves effect size and statistical power in mentalizing task-fMRI, particularly in cerebellar regions.

bioRxiv · Mar 23, 2016Neuroscience