Article

Polygenic Risk-Informed White Matter Integrity Improves Deep Learning-Based Prediction of Youth Depression

2025-03-27

Abstract excerpt

Early detection of youth depression is crucial, given its rising prevalence and long-term consequences. Although genetic factors contribute significantly to youth depression, their integration with neuroimaging remains limited. We present a deep learning framework using polygenic scores (PGS) to pretrain a 3D convolutional neural network on diffusion MRI (track-weighted fractional anisotropy), capturing gene–brain...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: fc9597a1-1157-5a88-ad6a-52a632bdcf89
DOI: 10.1101/2025.03.27.25324746

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Polygenic Risk-Informed White Matter Integrity Improves Deep Learning-Based Prediction of Youth DepressionDOI 10.1101/2025.03.27.25324746Read

Association between polygenic risk for Major Depression and brain structure in a mega-analysis of 50,975 participants across 11 studies.Semantic proximity Read

A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank.Semantic proximity Read

Polygenic Risk, Psychopathology, and Personalized Functional Brain Network Topography in Adolescence.Semantic proximity Read

Predicting cognitive and mental health traits and their polygenic architecture using large-scale brain connectomicsSemantic proximity Read

Deep learning reveals a neurocomputational mechanism predicting depression risk in adolescents.Semantic proximity Read

Associations between brain imaging and polygenic scores of mental health and educational attainment in children aged 9-11Semantic proximity Read

Associations between brain imaging and polygenic scores of mental health and educational attainment in children aged 9–11Semantic proximity Read

Genome-wide association study of adolescent-onset depressionSemantic proximity Read

Polygenic architecture of brain structure and function, behaviors, and psychopathologies in childrenSemantic proximity Read

Polygenic risk for depression and resting state functional connectivity of subgenual anterior cingulate cortex in young adultsSemantic proximity Read

Neurodevelopmental signature of a transcriptome-based polygenic risk score for depression.Semantic proximity Read

Applying Machine-Learning and Deep-Learning to Predict Depression from Brain MRI and Identify Depression-Related Brain BiologySemantic proximity Read