Chen Eunice Y, Eickhoff Simon B, Giovannetti Tania, Smith David V
Department of Psychology, Temple University, USA.
Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Germany.
Neuroimage Clin. 2020;28:102420. doi: 10.1016/j.nicl.2020.102420. Epub 2020 Sep 9.
Neural models of obesity vary in their focus upon prefrontal and striatal differences. Animal and human studies suggest that differential functioning of the orbitofrontal cortex is associated with obesity. However, meta-analyses of functional neuroimaging studies have not found a clear relationship between the orbitofrontal cortex and obesity. Meta-analyses of structural imaging studies of obesity have shown mixed findings with regards to an association with reduced orbitofrontal cortex gray matter volume. To clarify these findings, we conducted a meta-analysis of 25 voxel-based morphometry studies, and found that greater body mass index is associated with decreased gray matter volume in the right orbitofrontal cortex (Brodmanns' areas 10 and 11), where family-wise corrected p < .05, N = 7,612. Use of the right orbitofrontal cortex as a seed in a Neurosynth Network Coactivation analysis showed that this region is associated with activity in the left frontal medial cortex, left temporal lobe, right precuneus cortex, posterior division of the left middle temporal gyrus, and right frontal pole. When Neurosynth Network Coactivation results were submitted as regions of interest in the Human Connectome Project data, we found that greater body mass index was associated with greater activity in left frontal medial cortex response to the Gambling Task, where p < .05, although this did not survive Bonferroni-correction. Our findings highlight the importance of the orbitofrontal cortex structure and functioning in neural models of obesity. Exploratory analyses suggest more studies are needed that examine the functional significance of reduced orbitofrontal cortex gray matter volume in obesity, and the effect of age and weight changes on this relationship using longitudinal designs.
肥胖的神经模型在对前额叶和纹状体差异的关注上各不相同。动物和人体研究表明，眶额皮质的功能差异与肥胖有关。然而，功能神经影像学研究的荟萃分析并未发现眶额皮质与肥胖之间存在明确的关系。肥胖结构影像学研究的荟萃分析在与眶额皮质灰质体积减少的关联方面显示出混合的结果。为了阐明这些发现，我们对25项基于体素的形态学研究进行了荟萃分析，发现较高的体重指数与右侧眶额皮质（布罗德曼区10和11）的灰质体积减少有关，家族性校正p <.05，N = 7612。在神经合成网络共激活分析中，将右侧眶额皮质作为种子点，结果显示该区域与左侧额内侧皮质、左侧颞叶、右侧楔前皮质、左侧颞中回后部分以及右侧额极的活动有关。当将神经合成网络共激活结果作为感兴趣区域提交到人类连接组计划数据中时，我们发现较高的体重指数与左侧额内侧皮质对赌博任务的反应活动增加有关，p <.05，尽管这在邦费罗尼校正后未通过检验。我们的发现突出了眶额皮质结构和功能在肥胖神经模型中的重要性。探索性分析表明，需要更多的研究来检查肥胖中眶额皮质灰质体积减少的功能意义，以及使用纵向设计研究年龄和体重变化对这种关系的影响。
