You say 'prefrontal cortex' and I say 'anterior cingulate': meta-analysis of spatial overlap in amygdala-to-prefrontal connectivity and internalizing symptomology.
You say 'prefrontal cortex' and I say 'anterior cingulate': meta-analysis of spatial overlap in amygdala-to-prefrontal connectivity and internalizing symptomology.
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DOI：
10.1038/tp.2016.218
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发表时间：
2016-11-08
影响因子：
6.8
通讯作者：
Rabinak CA
中科院分区：
文献类型：
--
作者：
Marusak HA;Thomason ME;Peters C;Zundel C;Elrahal F;Rabinak CA
杏仁核和内侧前额叶皮质（mPFC）之间的联系被认为是情绪行为表达和调节的关键。在几种内化条件和相关的风险因素（例如，童年创伤），这可能是内在条件的强烈表型重叠和共同发生的基础上，在额杏仁核电路的abbandering报告。然而，目前尚不清楚这些发现是否集中在mPFC或相邻的前扣带皮层（ACC）的相同局部区域。检查46个静息状态功能连接磁共振成像研究的内化条件或风险因素（例如，早期逆境和家族史），我们进行了激活可能性估计额杏仁核电路的荟萃分析。我们包括所有报告的杏仁核额叶坐标位置，属于一个自由的解剖学定义的额叶面具。研究中的峰值效应集中在ACC的两个焦点亚区：膝前（pgACC）和膝下（sgACC）。使用健康个体的公开地图和数据库，我们发现观察到的子区域具有独特的连接配置文件，跨一系列神经心理任务的神经共激活模式，以及跨越峰值区域内各种行为域的任务分布，也称为“功能指纹”。这些结果表明，在独特的杏仁核-ACC子电路中断的内化，遗传和环境风险研究。基于功能特征和研究有助于每个峰，观察到的杏仁核ACC子电路可能反映单独的transdiagnosis神经签名。特别是，它们可能反映了参与发育风险（sgACC）的常见神经生物学底物，或跨越疾病边界的情感精神病理学（pgACC）的广泛表达。
Connections between the amygdala and medial prefrontal cortex (mPFC) are considered critical for the expression and regulation of emotional behavior. Abnormalities in frontoamygdala circuitry are reported across several internalizing conditions and associated risk factors (for example, childhood trauma), which may underlie the strong phenotypic overlap and co-occurrence of internalizing conditions. However, it is unclear if these findings converge on the same localized areas of mPFC or adjacent anterior cingulate cortex (ACC). Examining 46 resting-state functional connectivity magnetic resonance imaging studies of internalizing conditions or risk factors (for example, early adversity and family history), we conducted an activation likelihood estimation meta-analysis of frontoamygdala circuitry. We included all reported amygdala to frontal coordinate locations that fell within a liberal anatomically defined frontal mask. Peak effects across studies were centered in two focal subareas of the ACC: pregenual (pgACC) and subgenual (sgACC). Using publicly available maps and databases of healthy individuals, we found that observed subareas have unique connectivity profiles, patterns of neural co-activation across a range of neuropsychological tasks, and distribution of tasks spanning various behavioral domains within peak regions, also known as ‘functional fingerprints'. These results suggest disruptions in unique amygdala–ACC subcircuits across internalizing, genetic and environmental risk studies. Based on functional characterizations and the studies contributing to each peak, observed amygdala–ACC subcircuits may reflect separate transdiagnostic neural signatures. In particular, they may reflect common neurobiological substrates involved in developmental risk (sgACC), or the broad expression of emotional psychopathology (pgACC) across disease boundaries.