Regional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders.

Regional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders.
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DOI:
10.1038/s41593-023-01404-6
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发表时间:
2023-09
影响因子:
25
通讯作者:
Fornito, Alex
Fornito, Alex
中科院分区:
医学1区
文献类型:
--
作者:
Segal, Ashlea;Parkes, Linden;Aquino, Kevin;Kia, Seyed Mostafa;Wolfers, Thomas;Franke, Barbara;Hoogman, Martine;Beckmann, Christian F.;Westlye, Lars T.;Andreassen, Ole A.;Zalesky, Andrew;Harrison, Ben J.;Davey, Christopher G.;Soriano-Mas, Carles;Cardoner, Narcis;Tiego, Jeggan;Yucel, Murat;Braganza, Leah;Suo, Chao;Berk, Michael;Cotton, Sue;Bellgrove, Mark A.;Marquand, Andre F.;Fornito, Alex

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典型的病例对照研究往往忽视了精神疾病患者的个体异质性,这种异质性依赖于群体平均值的比较。在这里,我们提出了一个全面的,多尺度的表征灰质体积(GMV)差异的异质性,在1,294例诊断为六种疾病(注意力缺陷/多动障碍,自闭症谱系障碍,双相情感障碍,抑郁症,强迫症和精神分裂症)和1,465匹配的对照。规范模型表明,个人对区域GMV的预期与人群预期的偏差具有高度异质性,影响同一地区<7%的诊断相同的人。然而,在高达56%的情况下,这些偏差嵌入在常见的功能电路和网络中。显著性-腹侧注意系统与抑郁症、双相情感障碍、精神分裂症和注意力缺陷/多动障碍有关联。因此,分配相同诊断的病例之间的表型差异可能来自特定区域偏差的异质性定位,而表型相似性可能归因于共同功能回路和网络的功能障碍。一种新的针对个体的大脑映射方法显示,精神疾病的体积变化发生在个体之间高度可变的位置,但这些差异通常在共同的大脑系统中聚集。
The substantial individual heterogeneity that characterizes people with mental illness is often ignored by classical case–control research, which relies on group mean comparisons. Here we present a comprehensive, multiscale characterization of the heterogeneity of gray matter volume (GMV) differences in 1,294 cases diagnosed with one of six conditions (attention-deficit/hyperactivity disorder, autism spectrum disorder, bipolar disorder, depression, obsessive–compulsive disorder and schizophrenia) and 1,465 matched controls. Normative models indicated that person-specific deviations from population expectations for regional GMV were highly heterogeneous, affecting the same area in <7% of people with the same diagnosis. However, these deviations were embedded within common functional circuits and networks in up to 56% of cases. The salience–ventral attention system was implicated transdiagnostically, with other systems selectively involved in depression, bipolar disorder, schizophrenia and attention-deficit/hyperactivity disorder. Phenotypic differences between cases assigned the same diagnosis may thus arise from the heterogeneous localization of specific regional deviations, whereas phenotypic similarities may be attributable to the dysfunction of common functional circuits and networks. A new brain mapping approach tailored to individual people reveals that volume changes in psychiatric illness occur in highly variable locations across individuals, but that these differences often aggregate within common brain systems.
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