Depression and Anxiety Center for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine of Mount Sinai.
Depression and Anxiety Center for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine of Mount Sinai.
Neuroimage Clin. 2020;25:102148. doi: 10.1016/j.nicl.2019.102148. Epub 2020 Jan 15.
The locus coeruleus (LC) has a long-established role in the attentional and arousal response to threat, and in the emergence of pathological anxiety in pre-clinical models. However, human evidence of links between LC function and pathological anxiety has been restricted by limitations in discerning LC with current neuroimaging techniques. We combined ultra-high field 7-Tesla and 0.4 × 0.4 × 0.5 mm quantitative MR imaging with a computational LC localization and segmentation algorithm to delineate the LC in 29 human subjects including subjects with and without an anxiety or stress-related disorder. Our automated, data-driven LC segmentation algorithm provided LC delineations that corresponded well with postmortem anatomic definitions of the LC. There was variation of LC size in healthy subjects (125.7 +/- 59.3 mm), which recapitulates histological reports. Patients with an anxiety or stress-related disorder had larger LC compared to controls (Cohen's d = 1.08, p = 0.024). Larger LC was additionally associated with poorer attentional and inhibitory control and higher anxious arousal (FDR-corrected p's<0.025), trans-diagnostically across the full sample. This study combined high-resolution and quantitative MR with a mixture of supervised and unsupervised computational techniques to provide robust, sub-millimeter measurements of the LC in vivo, which were additionally related to common psychopathology. This work has wide-reaching applications for a range of neurological and psychiatric disorders characterized by expected LC dysfunction.
蓝斑(LC)在对威胁的注意力和觉醒反应以及在临床前模型中病理性焦虑的出现中起着长期确立的作用。然而,由于当前神经影像学技术在辨别 LC 方面的局限性,人类对 LC 功能与病理性焦虑之间联系的证据一直受到限制。我们结合了超高场 7 特斯拉和 0.4×0.4×0.5 毫米定量磁共振成像以及计算 LC 定位和分割算法,以描绘包括有或没有焦虑或压力相关障碍的受试者在内的 29 名人类受试者的 LC。我们的自动、数据驱动的 LC 分割算法提供的 LC 描绘与 LC 的死后解剖定义非常吻合。健康受试者的 LC 大小存在差异(125.7 +/- 59.3 毫米),这与组织学报告相符。与对照组相比,患有焦虑或压力相关障碍的患者的 LC 更大(Cohen's d = 1.08,p = 0.024)。更大的 LC 还与注意力和抑制控制较差以及更高的焦虑唤醒相关(FDR 校正后的 p 值<0.025),在整个样本中具有跨诊断的相关性。这项研究结合了高分辨率和定量磁共振以及监督和无监督计算技术的混合,提供了 LC 在体内的强大、亚毫米测量,这些测量还与常见的精神病理学有关。这项工作在一系列以 LC 功能预期异常为特征的神经和精神障碍中具有广泛的应用。