Author

Thomas Ethofer

Feinstein Institute for Medical ResearchORCID 0000-0002-4612-6018Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:differential expression· 3 Assay:imaging· 3 Approach:statistical model· 3 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Alysa E. DoyleiD· 2 shared Ana CubilloiD· 2 shared Anastasia ChristakouiD· 2 shared Andreas Jochen FallgatteriD· 2 shared Annette ConzelmanniD· 2 shared Bernd Kardatzki· 2 shared Catharina Annette HartmaniD· 2 shared Damien A. FairiD· 2 shared

Activity by Year

2019-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Alysa E. DoyleORCID

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4 papers

Recent·Most cited

Genetic & Genomic MedicineBiological Psychiatry Global Open SciencePeer-reviewedJun 25, 2025

Pathway-Specific Polygenic Scores for Predicting Clinical Lithium Treatment Response in Patients with Bipolar Disorder

Nigussie Tadesse Sharew, Scott Richard Clark, Sergi Papiol…·Layla Kassem

The paper develops pathway-specific polygenic scores to predict lithium treatment response in bipolar disorder and finds associations with specific biological pathways.

9 citationstop 3%

humanGWAS summary statistics

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NeuroscienceJournal of Child Psychology and PsychiatryPeer-reviewedMar 22, 2021

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

Merel C. Postema, Martine Hoogman, Sara Ambrosino…·Neda Jahanshad

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

77 citationstop 1%

humanimaging

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NeurosciencebioRxivPreprintMar 18, 2021

Predicting intelligence from fMRI data of the human brain in a few minutes of scan time

Gabriele Lohmann, Eric Lacosse, Thomas Ethofer…·Jürgen Jost

The paper introduces a machine learning algorithm that predicts intelligence from task-based fMRI data with high accuracy and faster scan times than resting state fMRI.

11 citations

humanimaging

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NeurosciencebioRxivPreprintJun 18, 2019

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…·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.

12 citations

humanimaging

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