20206-06-11 マウントサイナイ医療システム（MSHS）
＜関連情報＞
- https://www.mountsinai.org/about/newsroom/2026/mount-sinai-researchers-identify-brain-entrapment-patterns-associated-with-depression
- https://www.nature.com/articles/s41467-026-71961-4
脳エネルギーランドスケープにおける時空間的非対称性は、うつ病の重症度に関連するシステム閉じ込めを明らかにする Spatiotemporal asymmetries on brain energy landscape uncover system entrapment related to depression severity
B. Ülgen Kilic,Jenna Jubeir,Priti Balchandani,James W. Murrough,Laurel S. Morris & Yael Jacob
Nature Communications Published:23 April 2026
DOI:https://doi.org/10.1038/s41467-026-71961-4 Unedited version
Abstract
Large-scale brain activity at rest is thought to wander among a discrete set of attractor-like functional configurations shaped by underlying structural connections, yet how state-transitions are perturbed in major depressive disorder remains unknown. Here, we integrate resting-state functional imaging and diffusion-weighted structural connectivity in individuals with and without major depressive disorder to identify stable, recurring whole-brain coactivation patterns. More frequent and shorter-lived visits to a prominent salience-dominated configuration are associated with anhedonia in depression. Moreover, reduced state transitions between visual-attentional and limbic-default mode configurations are associated with greater depressive symptom severity, indicative of cognitive rigidity, and reflected as a transition preference for energetically costly trajectories despite structurally facilitated alternatives. Our findings show that the alterations in dynamic properties, transition frequencies, and energetic asymmetries define an imbalanced state-transition landscape in which the depressed brain becomes trapped between source- and sink-like attractors, providing a mechanistic interpretation of aberrant state trajectories in depression.
