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中风后冷漠中奖励决策网络的断开连接:一项前瞻性多模态成像研究。

Reward Decision Network Disconnection in Poststroke Apathy: A Prospective Multimodality Imaging Study.

作者信息

Fang Yirong, Chao Xian, Wang Jinjing, Lu Zeyu, Yin Dawei, Shi Ran, Wang Peng, Liu Xinfeng, Sun Wen

机构信息

Department of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.

Department of Radiology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.

出版信息

Hum Brain Mapp. 2025 Feb 1;46(2):e70139. doi: 10.1002/hbm.70139.

Abstract

Apathy is a common neuropsychiatric symptom following stroke, characterized by reduced goal-directed behavior. The reward decision network (RDN), which plays a crucial role in regulating goal-directed behaviors, is closely associated with apathy. However, the relationship between poststroke apathy (PSA) and RDN dysfunction remains unclear due to apathy heterogeneity, the confounding effect of depression and individual variability in lesion impacts. This study aims to dissect the heterogeneity of PSA and explore the link between lesion-induced RDN damage and PSA. We prospectively recruited 207 patients with acute ischemic infarction and 60 demographically matched healthy controls. Participants underwent neuroimaging and longitudinal neuropsychiatric assessments. To characterize PSA heterogeneity, we employed multivariate analysis and clustering algorithms based on whole-brain functional connectivity and clinical assessments to classify patients into different PSA biotypes. We embedded each patient's lesion into a structural connectome atlas to obtain white matter (WM) disconnection maps. On this basis, WM disconnection scores were calculated for each brain region to quantify lesion-induced WM damage. We employed the XGBoost model to predict PSA biotypes based on WM disconnection scores, comparing the performance of models focusing on RDN-specific versus whole-brain WM disconnection. Additionally, we explored WM damage patterns across different biotypes by comparing disconnection scores in critical brain regions. We identified four PSA biotypes with unique clinical trajectories and neurobiological underpinnings. Biotype 4 was characterized by persistent apathy with depressive symptoms. Biotype 2 showed persistent apathy. Biotype 3 was non-apathetic. Biotype 1 exhibited delayed-onset apathy. The XGBoost models, when focused on the RDN-specific WM disconnection, performed significantly better in predicting PSA biotypes compared to the whole-brain WM disconnection model (t(164.66) = 8.871, p < 0.001). Analysis of WM disconnection patterns revealed that Biotype 4 exhibited more extensive RDN damage in crucial regions, Biotype 1 had a unique pattern of damage in the anterior cingulate cortex (t(61) = 1.874, p = 0.032), and Biotype 2 had a unique pattern of damage in the orbitofrontal cortex (t(53)= 1.827, p = 0.036). This study dissected PSA heterogeneity and demonstrated that RDN damage is a critical factor in PSA variability. We found that lesion-induced WM disconnections in anterior cingulate cortex and orbitofrontal cortex can lead to delayed-onset and persistent apathy, respectively. Furthermore, our findings revealed that apathy not only has distinct pathogenic mechanisms, but also shares neurobiological substrates with depression.

摘要

冷漠是中风后常见的神经精神症状,其特征是目标导向行为减少。奖励决策网络(RDN)在调节目标导向行为中起关键作用,与冷漠密切相关。然而,由于冷漠的异质性、抑郁症的混杂效应以及病变影响的个体差异,中风后冷漠(PSA)与RDN功能障碍之间的关系仍不明确。本研究旨在剖析PSA的异质性,并探索病变诱导的RDN损伤与PSA之间的联系。我们前瞻性招募了207例急性缺血性梗死患者和60名人口统计学匹配的健康对照者。参与者接受了神经影像学和纵向神经精神评估。为了表征PSA的异质性,我们基于全脑功能连接和临床评估,采用多变量分析和聚类算法将患者分为不同的PSA生物型。我们将每位患者的病变嵌入到一个结构连接组图谱中,以获得白质(WM)断开连接图。在此基础上,计算每个脑区的WM断开连接分数,以量化病变诱导的WM损伤。我们采用XGBoost模型基于WM断开连接分数预测PSA生物型,比较关注RDN特异性与全脑WM断开连接的模型的性能。此外,我们通过比较关键脑区的断开连接分数,探索不同生物型之间的WM损伤模式。我们确定了四种具有独特临床轨迹和神经生物学基础的PSA生物型。生物型4的特征是伴有抑郁症状的持续性冷漠。生物型2表现为持续性冷漠。生物型3无冷漠症状。生物型1表现为迟发性冷漠。与全脑WM断开连接模型相比,当关注RDN特异性WM断开连接时,XGBoost模型在预测PSA生物型方面表现明显更好(t(164.66) = 8.871,p < 0.001)。WM断开连接模式分析显示,生物型4在关键区域表现出更广泛的RDN损伤,生物型1在前扣带回皮质有独特的损伤模式(t(61) = 1.874,p = 0.032),生物型2在眶额皮质有独特的损伤模式(t(53) = 1.827,p = 0.036)。本研究剖析了PSA的异质性,并表明RDN损伤是PSA变异性的关键因素。我们发现,前扣带回皮质和眶额皮质中病变诱导的WM断开连接分别可导致迟发性和持续性冷漠。此外,我们的研究结果表明,冷漠不仅有不同的致病机制,而且与抑郁症共享神经生物学底物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b50/11747988/92f3c502c869/HBM-46-e70139-g002.jpg

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