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Unsmoothed functional MRI of the human amygdala and bed nucleus of the stria terminalis during processing of emotional faces

机译:在加工情绪面时,人杏仁菌的人杏仁菌和床核的牙科函数MRI

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摘要

Functional neuroimaging of the human amygdala has been of great interest to uncover the neural underpinnings of emotions, mood, motivation, social cognition, and decision making, as well as their dysfunction in psychiatric disorders. Yet, several factors limit in vivo imaging of amygdalar function, most importantly its location deep within the temporal lobe adjacent to air-filled cavities that cause magnetic field inhomogeneities entailing signal dropouts. Additionally, the amygdala and the extended amygdalar region consist of several substructures, which have been assigned different functions and have important implications for functional and effective connectivity studies. Here we show that high-resolution ultra-high field fMRI at 7T can be used to overcome these fundamental challenges for acquisition and can meet some of the demands posed by the complex neuroanatomy and -physiology in this region. Utilizing the inherently high SNR, we use an optimized preprocessing and data analysis strategy to demonstrate that imaging of the (extended) amygdala is highly reliable and robust. Using unsmoothed single-subject data allowed us to differentiate brain activation during processing of emotional faces in the central and basolateral amygdala and, for the first time, in the bed nucleus of the stria terminalis (BNST), which is critically involved in the neural mechanisms of anxiety and threat monitoring. We also provide a quantitative assessment of single subject sensitivity, which is relevant for connectivity studies that rely on time course extraction of functionally-defined volumes of interest.
机译:人类的杏仁核的功能神经影像学已经极大的兴趣发掘情感,情绪,动机,社会认知和决策的神经基础,以及他们在精神疾病功能障碍。然而,几个因素限制了Amygdalar函数的体内成像,最重要的是其位于与充气空腔相邻的颞叶内部的位置,导致磁场不均匀地引起信号丢失。另外,Amygdala和扩展的Amygdalar区域由几个子结构组成,该子结构已经分配了不同的功能,并对功能性和有效的连通性研究具有重要意义。在这里,我们显示7T的高分辨率超高场FMRI可用于克服采集的这些根本挑战,并可以满足该地区复杂神经瘤和型物理学所带来的一些要求。利用固有的高信噪比,我们使用一种优化预处理和数据分析策略来演示(扩展)杏仁该成像是高度可靠和稳定的。使用未平滑的单亲数据允许我们在中央和基底外侧杏仁菌的情绪面上进行脑激活,并且首次在斯特拉氏菌(BNST)的床核中,这批判性地参与神经机制焦虑与威胁监测。我们还提供了对单一受试者敏感性的定量评估,这与依赖于时间课程提取功能定义毛卷的连接性研究相关。

著录项

  • 来源
    《NeuroImage》 |2018年第2018期|共9页
  • 作者单位

    MR Center of Excellence Center for Medical Physics and Biomedical Engineering Medical University;

    MR Center of Excellence Center for Medical Physics and Biomedical Engineering Medical University;

    Social Cognitive and Affective Neuroscience Unit Department of Basic Psychological Research and;

    Department of Psychiatry and Psychotherapy Medical University of Vienna;

    MR Center of Excellence Center for Medical Physics and Biomedical Engineering Medical University;

    MR Center of Excellence Center for Medical Physics and Biomedical Engineering Medical University;

    Social Cognitive and Affective Neuroscience Unit Department of Basic Psychological Research and;

    Department of Psychiatry and Psychotherapy Medical University of Vienna;

    Social Cognitive and Affective Neuroscience Unit Department of Basic Psychological Research and;

    Department of Psychiatry and Psychotherapy Medical University of Vienna;

    Social Cognitive and Affective Neuroscience Unit Department of Basic Psychological Research and;

    Department of Psychiatry and Psychotherapy Medical University of Vienna;

    MR Center of Excellence Center for Medical Physics and Biomedical Engineering Medical University;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 诊断学;
  • 关键词

    Amygdala; BNST; faces; emotions; fMRI; 7 T;

    机译:asygdala;bnst;面孔;情绪;fmri;7 t;

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