Body mass variability is represented by distinct functional connectivity patterns.

Body mass variability is represented by distinct functional connectivity patterns.
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DOI:
10.1016/j.neuroimage.2018.06.082
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发表时间:
2018-11-01
期刊:
影响因子:
5.7
通讯作者:
Burger, Kyle S.
Burger, Kyle S.
中科院分区:
医学1区
文献类型:
--
作者:
Sadler, Jennifer R.;Shearrer, Grace E.;Burger, Kyle S.

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了解与体重相关的功能连接性差异有助于深入了解与肥胖有关的神经认知因素。在这里,我们从人类连接组项目数据中抽取了三组样本:1)47对BMI不协调的双胞胎(n=94;平均BMI-不协调6.7±3.1 kg/m2),2)47对性别和BMI匹配的BMI不协调的无关个体,以及3)47对BMI相似的双胞胎,以测试网络功能连接之间的体重依赖差异。在体重指数不一致的样本中,有三个网络似乎对体重状况高度敏感;具体地说,是味觉处理区域、视觉处理网络和默认模式网络(DMN)的折衷网络。此外,在BMI不一致的双胞胎样本中,BMI低于双胞胎的个体在纹状体/丘脑和前额叶网络之间的连接性更强(pFWE=0.04)。我们还观察到,体重指数高于双胞胎的个体在小脑和岛叶网络之间的连接性更强(pFWE=0.04)。在BMI不一致的双胞胎样本中观察到的连接模式在BMI相似的样本中没有看到,这提供了证据,表明结果是针对BMI不一致的。除了味觉和视觉网络以及DMN的参与外,两个BMI不一致的样本之间的结果几乎没有重叠。与之前的研究一致,我们假设,双胞胎较低的体重与较强的皮质-纹状体-丘脑连接可能有助于加强对享乐动机行为的调节。在体重较高的双胞胎中,小脑-脑岛连通性增加可能与饱腹感信号受损有关,这一解释与先前的研究相吻合。两个BMI不一致的样本之间没有重叠的结果可能是因为BMI不一致的双胞胎样本中的研究设计灵敏度较高,而不相关的样本中的结果更具普遍性。这些发现表明,不同的连接模式可以代表体重的可变性,进一步增加了越来越多的证据表明,随着体重的增加和/或保持,大脑功能不典型。
Understanding weight-related differences in functional connectivity provides key insight into neurocognitive factors implicated in obesity. Here, we sampled three groups from human connectome project data: 1) 47 pairs of BMI-discordant twins (n=94; average BMI-discordancy 6.7 ± 3.1 kg/m2), 2) 47 pairs of gender and BMI matched BMI-discordant, unrelated individuals, and 3) 47 pairs of BMI-similar twins to test for body mass dependent differences in between network functional connectivity. Across BMI discordant samples, three networks appeared to be highly sensitive to weight status; specifically, a network compromised of gustatory processing regions, a visual processing network, and the default mode network (DMN). Further, individuals with a lower BMI relative to their twin had stronger connectivity between striatal/thalamic and prefrontal networks (pFWE = 0.04) in the BMI-discordant twin sample. We also observed that individuals with a higher BMI than their twin had stronger connectivity between cerebellar and insular networks (pFWE = 0.04). Connectivity patterns observed in the BMI-discordant twin sample were not seen in a BMI-similar sample, providing evidence that the results are specific to BMI discordance. Beyond the involvement of gustatory and visual networks and the DMN, little overlap in results were seen between the two BMI-discordant samples. In concordance with previous research, we hypothesize that stronger cortical-striatal-thalamic connectivity associated with lower body mass in twins may facilitate increased regulation of hedonically motivated behaviors. In twins with higher body mass, increased cerebellar-insula connectivity may be associated with compromised satiation signaling, an interpretation dovetailing prior research. The lack of overlapping results between the two BMI discordant samples may be a function of the higher study design sensitivity in the BMI-discordant twin sample, relative to the more generalizable results in the unrelated sample. These findings demonstrate that distinct connectivity patterns can represent weight variability, adding to mounting evidence that implicates atypical brain functioning with the accumulation and/or maintenance of elevated weight.
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