Determining pathways that link brain, body, lifestyle and mental health

2024-09-25 - 2024-09

Using multimodal brain imaging and organ-specific physiological markers from more than 18,000 adult participants of the UK Biobank database, this study reveals integrated pathways that explain the interplay between brain, body, environment and lifestyle, and their collective influence on mental health outcomes.

Joint inference of discrete and continuous factors captures variability across and within cell types

2024-10-23 - 2024-10

We developed mixture model inference with discrete-coupled autoencoders (MMIDAS), an unsupervised variational framework that jointly learns discrete clusters and continuous cluster-specific variability. When applied to unimodal or multimodal single-cell omic data, MMIDAS learned single-cell representations with robust cell type definitions and interpretable, continuous within-cell type variability.

Mapping connectivity and network alterations in youth depression by functional brain imaging

2024-09-23 - 2024-09

Analyses of functional MRI brain images of young people with depression revealed that altered brain connectivity associated with this disorder is circumscribed to specific networks and hub regions, including the default mode and attentional networks. The magnitude of these connectivity changes is a reliable predictor of depression symptom severity.

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Determining pathways that link brain, body, lifestyle and mental health

Joint inference of discrete and continuous factors captures variability across and within cell types

Mapping connectivity and network alterations in youth depression by functional brain imaging

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Brain Disorders and Neurology

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Determining pathways that link brain, body, lifestyle and mental health

Joint inference of discrete and continuous factors captures variability across and within cell types

Mapping connectivity and network alterations in youth depression by functional brain imaging