The paper evaluates factors affecting brain-age prediction models using structural neuroimaging data from 35,683 individuals, finding optimal model performance with no site harmonization, age-binning, and a sample size of over 1,600.

Human Brain Mapping · Jul 1, 2024Peer-reviewedBioinformatics

Normative Modeling of Brain Morphometry Across the Lifespan using CentileBrain: Algorithm Benchmarking and Model Optimization

Ruiyang Ge, Yuetong Yu, Yi Xuan Qi, Yunan Vera Fan, Shiyu Chen, Chuntong Gao, Shalaila S. Haas, Amirhossein Modabbernia, Faye New, Ingrid Agartz, Philip J. Asherson, Rosa Ayesa‐Arriola, Nerisa Banaj, Tobias Banaschewski, Sarah Baumeister, , Bernd Weber

The paper benchmarks and optimizes a normative modeling framework for brain morphometry across the lifespan using MFPR, showing excellent accuracy and stability.

bioRxiv · Jan 30, 2023 · PreprintBioinformatics

Dissociable Cellular and Genetic Mechanisms of Cortical Thinning at Different Life Stages

Amirhossein Modabbernia, Dídac Vidal-piñeiro A, Ingrid Agartz, Ole A. Andreassen, Rosa Ayesa‐Arriola, Alessandro Bertolino, Dorret Irene Boomsma, Josiane Bourque, Alan F. Breier, Henry Brodaty, Rachel M. Brouwer, Jan K. Buitelaar, Erick Jorge Canales-Rodríguez, Xavier Caseras, Patricia Conrod, , Sophia Frangou

The paper examines age-related variations in cortical thickness across different life stages using gene expression data from a large neuroimaging dataset.

bioRxiv · Mar 21, 2022 · PreprintNeuroscience

Greater male than female variability in regional brain structure across the lifespan

Lara Marise Wierenga, Gaelle Eve Doucet, Danai Dima, Ingrid Agartz, Moji Aghajani, Theophilus N. Akudjedu, Anton Albajes‐Eizagirre, Dag Alnæs, Kathryn I. Alpert, Ole A. Andreassen, Alan Anticevic, Philip J. Asherson, Tobias Banaschewski, Núria Bargalló, Sarah Baumeister, , Genevieve McPhilemy

The paper analyzes sex differences in brain structure variability across the lifespan using a large dataset, finding greater male variability in subcortical volumes, cortical surface area, and thickness in most regions.

Human Brain Mapping · Oct 12, 2020Peer-reviewedNeuroscience

Epigenome-wide meta-analysis of blood DNA methylation and its association with subcortical volumes: findings from the ENIGMA Epigenetics Working Group

Tianye Jia, Congying Chu, Yun Liu, Jenny van Dongen, Evangelos Papastergios, Nicola J. Armstrong, Mark E. Bastin, Tania Carrillo‐Roa, Anouk den Braber, Mathew A. Harris, Rick Jansen, Jingyu Liu, Michelle Luciano A, Anil P. S. Ori, Roberto Roiz‐Santiáñez, , Sylvane Desrivières

The paper reports epigenome-wide meta-analyses of blood DNA methylation with subcortical brain volumes, identifying significant associations with hippocampal volume and potential biological mechanisms.

Molecular Psychiatry · Dec 6, 2019Peer-reviewedGenomics

EEG-based age-prediction models as stable and heritable indicators of brain maturational level in children and adolescents

Marjolein M. L. J. Z. Vandenbosch, Dennis van ‘t Ent, Dorret Irene Boomsma, Andrey P. Anokhin, Dirk J. A. Smit

The paper uses EEG data to predict age in children and adolescents, finding stable prediction errors and significant genetic influence on brain maturity.

Human Brain Mapping · Jan 4, 2019Peer-reviewedNeuroscience

Do Candidate Genes Affect the Brain’s White Matter Microstructure? Large-Scale Evaluation of 6,165 Diffusion MRI Scans

Neda Jahanshad, Habib Ganjgahi, Janita Bralten, Anouk den Braber, Joshua Faskowitz, Annchen R. Knodt, Hervé Lemaître, Talia M. Nir, Binish Patel, Stuart Richie, Emma Sprooten, Martine Hoogman, Kimm J. E. van Hulzen, Artemis Zavaliangos‐Petropulu, Marcel P. Zwiers, , Peter V Kochunov

The paper evaluates 15 candidate SNPs associated with psychiatric disorders using 6,165 diffusion MRI scans, finding no significant associations after correction for multiple testing.

bioRxiv · Feb 20, 2017 · PreprintNeuroscience