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bioRxiv · 10.1101/2025.08.04.668558

Temporal Dynamics of Depression in Premanifest Huntington's Disease: A Network Dysconnection Approach

Barta, T.·Novelli, L.·Georgiou-Karistianis, N.·Stout, J.·Loi, S. M.·Razi, A.
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Abstract

Background and objectivesDepression emerges years before motor signs in Huntington"s disease gene expansion carriers (HDGECs), yet how directional connectivity patterns evolve over time and relate to depression trajectories remains unknown. We hypothesized HDGECs with depression history would show accelerated grey matter atrophy and disinhibition of striatal-to-default mode network connections over time. MethodsThe study utilised the largest longitudinal study of premanifest HD, TrackOn-HD, including structural and resting-state brain scans. HDGECs were stratified by depression history and followed over three annual assessments. Analyses focused on 8 predefined regions spanning striatal and default mode network regions. Here, we applied spectral dynamic causal modelling to examine effective connectivity, alongside voxel-based morphometry of grey matter atrophy and linear mixed models of depressive symptoms. Spectral DCM employed Bayesian model reduction with free energy thresholds [≥]0.95 for strong evidence of connectivity changes. ResultsThe study included 105 HDGECs (53 females, mean age = 43, mean CAG = 43). Depression-related network dysconnection operated independently of regional grey matter atrophy, with HDGECs exhibiting widespread striatal volume loss but no differential atrophy patterns between depression groups. Larger posterior cingulate cortex volumes predicted increased depression severity specifically in HDGECs with depression history, across both Beck Depression Inventory-II ({beta} = 36.79, 95% CI = 2.33-71.25, p =.041) and Hospital Anxiety and Depression Scale-Depression Subscale ({beta} = 27.31, 95% CI = 11.12-43.50, p =.002). Spectral dynamic causal models explained 88.6% of variance in depression groups and 90.4% in non-depression groups. Longitudinal effective connectivity analyses revealed distinct dysconnection profiles: HDGECs with depression history showed widespread interhemispheric alterations including progressive inhibitory changes of striatal-DMN circuits and aberrant hippocampal regulatory control, while those without depression exhibited more focal dysconnection. These patterns occurred despite no group differences in grey matter atrophy trajectories over 24 months. DiscussionDepression in HDGECs emerges through network dysconnection that operates independently of regional atrophy. Functional alterations may precede detectable structural breakdown and represent pathological responses to subclinical neurodegenerative processes, suggesting functional connectivity markers may serve as early indicators of depression vulnerability in premanifest HD.

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Barta, T., Novelli, L., Georgiou-Karistianis, N., Stout, J., Loi, S. M., Razi, A.. 2025-08-06. Temporal Dynamics of Depression in Premanifest Huntington's Disease: A Network Dysconnection Approach. https://doi.org/10.1101/2025.08.04.668558

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