This study uses combined phMRI and phMRS to assess brain responses to S-ketamine, showing dose-dependent hemodynamic and neurometabolic changes in specific brain regions.

Journal of Cerebral Blood Flow & Metabolism · Nov 30, 2025Peer-reviewedNeuroscience

Modulation of functional networks related to the serotonin neurotransmitter system by citalopram: evidence from a multimodal neuroimaging study

Daphne E. Boucherie, Liesbeth Reneman, Jan Booij, Daniel Martins, Ottavia Dipasquale, Anouk Schrantee

This study examines how citalopram affects serotonin-related brain networks using neuroimaging, finding dose-dependent changes in functional connectivity linked to 5-HTT and 5-HT1AR availability.

Journal of Psychopharmacology · Nov 10, 2023Peer-reviewedNeuroscience

Multimodal multilayer network centrality relates to executive functioning

Lucas C. Breedt, Fernando A. N. Santos, Arjan Hillebrand, Liesbeth Reneman, Anne‐Fleur van Rootselaar, Menno Michiel Schoonheim, Cornelis Jan Stam, Anouk Ticheler, Betty Marije Tijms, Dick J. Veltman, Chris Vriend, Margot J. Wagenmakers, Guido Alexander van Wingen, Jeroen J.G. Geurts, Anouk Schrantee, Linda Douw

This study shows that multimodal multilayer network centrality in the frontoparietal network is positively associated with executive functioning, outperforming unilayer centrality.

Network Neuroscience · Oct 13, 2022Peer-reviewedNeuroscience

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

ExploreASL: an image processing pipeline for multi-center ASL perfusion MRI studies

Henk J. M. M. Mutsaerts, Jan Petr, Paul F. C. Groot, Pieter Vandemaele, Silvia Ingala, Andrew D. Robertson, Lena Václavů, Inge Rasmus Groote, Hugo J. Kuijf, Fernando O. Zelaya, Owen O’Daly, Saima Hilal, Alle Meije Wink, Ilse M.J. Kant, Matthan W.A. Caan, , Frederik Barkhof

ExploreASL provides a standardized image processing pipeline for multi-center ASL MRI studies, improving reproducibility and enabling group-level statistical analysis across diverse clinical populations.

NeuroImage · Jun 8, 2020Peer-reviewedNeuroscience

Brain Aging in Major Depressive Disorder: Results from the ENIGMA Major Depressive Disorder working group

Laura K. M. Han, Richard Dinga, Tim Hahn, Christopher R. K. Ching, Lisa T. Eyler, Lyubomir I. Aftanas, Moji Aghajani, André Aleman, Bernhard Theodor Baune, Klaus Berger, Ivan V. Brak, Geraldo F. Busatto, Angela Carballedo, Colm G. Connolly, Baptiste Couvy‐Duchesne, , Janice M. Fullerton

This paper examines brain aging in major depressive disorder (MDD) using a large dataset, finding that MDD patients show increased brain age differences compared to controls.

Molecular Psychiatry · May 18, 2020Peer-reviewedNeuroscience