Author

Bernd Kardatzki

Feinstein Institute for Medical Research

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Alysa E. DoyleiD· 3 shared Anastasia ChristakouiD· 3 shared Andreas Jochen FallgatteriD· 3 shared Annette ConzelmanniD· 3 shared Catharina Annette HartmaniD· 3 shared Damien A. FairiD· 3 shared Daniel Brandeis· 3 shared David CoghilliD· 3 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Alysa E. DoyleORCID

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3 papers

Recent·Most cited

Analysis of structural brain asymmetries in Attention-Deficit/Hyperactivity Disorder in 39 datasets

Merel C. Postema, Martine Hoogman, Sara Ambrosino, Philip J. Asherson, Tobias Banaschewski, Cibele Edom Bandeira, Baranov Aa, Claiton H.D. Bau, Sarah Baumeister, Ramona Baur‐Streubel, Mark A. Bellgrove, Joseph Biederman, Janita Bralten, Daniel Brandeis, Silvia Brem, , Neda Jahanshad

This study analyzes structural brain asymmetries in ADHD using 39 datasets, finding small effects that do not meet study-wide significance thresholds.

Journal of Child Psychology and Psychiatry · Mar 22, 2021Peer-reviewedNeuroscience

Evidence for Similar Structural Brain Anomalies in Youth and Adult Attention-Deficit/Hyperactivity Disorder: A Machine Learning Analysis

Yanli Zhang‐James, Emily C. Helminen, Jinru Liu, The ENIGMA-ADHD Working Group, Geraldo F. Busatto, Anna Calvo, Mara Cercignani, Tiffany M. Chaim‐Avancini, Matt C. Gabel, Neil Andrew Harrison, Luisa Lázaro, Sara Lera‐Miguel, Mario Rodrigues Louzã, Rosa Nicolau, Pedro G. P. Rosa, , Susanne Walitza

This study uses machine learning to show that structural brain anomalies in ADHD are similar in children and adults, supporting continuity of the disorder's pathophysiology.

Translational Psychiatry · Feb 1, 2021Peer-reviewedBioinformatics

Subcortical brain volume, regional cortical thickness and cortical surface area across attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and obsessive-compulsive disorder (OCD): findings from the ENIGMA-ADHD, -ASD, and -OCD working groups

Premika S.W. Boedhoe, Daan van Rooij, Martine Hoogman, Jos W. R. Twisk, Lianne Schmaal, Yoshinari Abe, Pino Alonso, Stephanie Hope Ameis, Аникин Анатолий Владимирович, Alan Anticevic, Philip Aherson, Celso Arango, Paul Daniel Arnold, Francesca Assogna, Guillaume Auzias, , Bernd Kardatzki

This study compares structural brain differences across ADHD, ASD, and OCD using MRI data from multiple cohorts, finding disorder-specific alterations in brain volume and cortical thickness.

bioRxiv · Jun 18, 2019 · PreprintNeuroscience