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青少年反刍的动态功能磁共振成像相关性的普遍适用性有限。

Limited generalizability of dynamic fMRI correlates of adolescent rumination.

作者信息

Treves Isaac N, Park Madelynn S, Spence Jamaal, Jaffe Nigel, Pidvirny Kristina, Tierney Anna O, Kucyi Aaron K, Gabrieli John D E, Auerbach Randy P, Webb Christian A

机构信息

McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA.

Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA.

出版信息

bioRxiv. 2025 Sep 3:2025.08.29.673124. doi: 10.1101/2025.08.29.673124.

DOI:10.1101/2025.08.29.673124
PMID:40949947
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12424793/
Abstract

Rumination, or perseverative negative self-referential thinking, is a hallmark of depression. In adults, a dynamic resting-state fMRI model of trait rumination was recently identified through predictive modelling. In adolescents, a development period during which rumination and depression increase, the neurobiological correlates of ruminative thinking are less clear. In the current preregistered study, we examine dynamic connectivity correlates of self-reported rumination in the largest sample of adolescents to date ( = 443, containing clinical and non-clinical individuals). Notably, the adult model failed to generalize to our sample. In addition, linear models trained on default-mode network (DMN) connectivity, as well as whole-brain connectome models, failed to generalize to held-out data. In an exploratory random forest analysis, we found significant prediction performance of a model where increased variability between DMN-cerebellum, DMN-dorsal attention network, and DMN-DMN connections was nominally associated with higher rumination. However, the model did not generalize to an external sample with lower rumination scores and a distinct scanner protocol. Our findings illustrate the difficulty of characterizing the neurodevelopment of risk factors for depression.

摘要

反刍思维,即持续性的消极自我参照思维,是抑郁症的一个标志。在成年人中,最近通过预测建模确定了一种特质反刍思维的动态静息态功能磁共振成像模型。在青少年这个反刍思维和抑郁症发生率上升的发育阶段,反刍思维的神经生物学关联尚不清楚。在当前这项预先注册的研究中,我们在迄今为止最大的青少年样本(N = 443,包括临床和非临床个体)中研究了自我报告的反刍思维的动态连接相关性。值得注意的是,成人模型未能推广到我们的样本。此外,基于默认模式网络(DMN)连接训练的线性模型以及全脑连接组模型也未能推广到留出的数据。在一项探索性随机森林分析中,我们发现一个模型具有显著的预测性能,在该模型中,DMN - 小脑、DMN - 背侧注意网络和DMN - DMN连接之间变异性增加与更高的反刍思维名义上相关。然而,该模型未能推广到反刍思维得分较低且扫描协议不同的外部样本。我们的研究结果说明了表征抑郁症风险因素神经发育的困难。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba0d/12424793/c7488913421f/nihpp-2025.08.29.673124v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba0d/12424793/94e18941e77c/nihpp-2025.08.29.673124v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba0d/12424793/0e9853d0ddf6/nihpp-2025.08.29.673124v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba0d/12424793/fc77704f7051/nihpp-2025.08.29.673124v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba0d/12424793/c489b0b80a92/nihpp-2025.08.29.673124v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba0d/12424793/c7488913421f/nihpp-2025.08.29.673124v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba0d/12424793/94e18941e77c/nihpp-2025.08.29.673124v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba0d/12424793/0e9853d0ddf6/nihpp-2025.08.29.673124v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba0d/12424793/fc77704f7051/nihpp-2025.08.29.673124v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba0d/12424793/c489b0b80a92/nihpp-2025.08.29.673124v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba0d/12424793/c7488913421f/nihpp-2025.08.29.673124v1-f0005.jpg

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本文引用的文献

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