存在脑小血管疾病时的功能磁共振成像脑状态占位--汉堡市健康研究的预登记复制分析

T. Ingwersen, C. Mayer, M. Petersen, B. Frey, J. Fiehler, U. Hanning, Simone Kühn, Jürgen Gallinat, R. Twerenbold, C. Gerloff, B. Cheng, G. Thomalla, E. Schlemm
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摘要

摘要 我们的目的是复制最近关于脑小血管疾病(cSVD)程度、大脑功能网络分化和认知障碍之间关系的研究结果。我们分析了汉堡市前瞻性人群健康研究中的人口统计学、影像学和行为学数据。通过完全预设的分析管道,我们从结构和静息态功能磁共振成像(MRI)中估算出了离散的大脑状态。在多元宇宙分析中,我们采用了不同的大脑分区和功能磁共振成像混淆回归策略。cSVD的严重程度以推测为血管性白质高密度的体积来操作。处理速度和执行功能障碍通过 "追踪测试"(TMT)进行量化。我们的假设是:a) 域上白质高密度的体积越大,在功能性核磁共振成像衍生的高占位脑状态中花费的时间就越少;b) 在这些高占位脑状态中花费的时间越少,完成 TMT B 部分的时间就越长。高占有率脑状态的特点是激活或抑制默认模式网络。WMH体积每增加5.1倍,占据DMN相关脑状态的几率就会降低0.94倍(P = 5.01×10-8)。在高占据脑状态下所花费的时间每增加 5%,TMT-B 的完成时间就会减少 0.98 倍(P = 0.0116)。研究结果在大多数脑区和混淆回归策略中都是稳健的。总之,我们成功地在一个独立样本中复制了之前关于 cSVD、大脑功能占位和认知之间关联的研究结果。这些数据为cSVD相关认知障碍的功能网络分化假说提供了进一步的证据。要阐明这些关联的内在机制,还需要进一步的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Functional MRI brain state occupancy in the presence of cerebral small vessel disease—a pre-registered replication analysis of the Hamburg City Health Study
Abstract We aimed to replicate recent findings on the association between the extent of cerebral small vessel disease (cSVD), functional brain network dedifferentiation, and cognitive impairment. We analyzed demographic, imaging, and behavioral data from the prospective population-based Hamburg City Health Study. Using a fully prespecified analysis pipeline, we estimated discrete brain states from structural and resting-state functional magnetic resonance imaging (MRI). In a multiverse analysis, we varied brain parcellations and functional MRI confound regression strategies. The severity of cSVD was operationalized as the volume of white matter hyperintensities of presumed vascular origin. Processing speed and executive dysfunction were quantified using the Trail Making Test (TMT). We hypothesized a) that a greater volume of supratentorial white matter hyperintensities would be associated with less time spent in functional MRI-derived brain states of high fractional occupancy; and b) that less time spent in these high-occupancy brain states associated with a longer time to completion in part B of the TMT. High-occupancy brain states were characterized by activation or suppression of the default mode network. Every 5.1-fold increase in WMH volume was associated with a 0.94-fold reduction in the odds of occupying DMN-related brain states (P = 5.01×10−8). Every 5% increase in time spent in high-occupancy brain states was associated with a 0.98-fold reduction in the TMT-B completion time (P = 0.0116). Findings were robust across most brain parcellations and confound regression strategies. In conclusion, we successfully replicated previous findings on the association between cSVD, functional brain occupancy, and cognition in an independent sample. The data provide further evidence for a functional network dedifferentiation hypothesis of cSVD-related cognitive impairment. Further research is required to elucidate the mechanisms underlying these associations.
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