Alterations of Intrinsic Brain Connectivity Patterns in Depression and Bipolar Disorders: A Critical Assessment of Magnetoencephalography-Based Evidence.
Alterations of Intrinsic Brain Connectivity Patterns in Depression and Bipolar Disorders: A Critical Assessment of Magnetoencephalography-Based Evidence.
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DOI：
10.3389/fpsyt.2017.00041
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发表时间：
2017
影响因子：
4.7
通讯作者：
Jerbi K
中科院分区：
文献类型：
--
作者：
Alamian G;Hincapié AS;Combrisson E;Thiery T;Martel V;Althukov D;Jerbi K
尽管是一个蓬勃发展的临床研究领域的对象，但对精神疾病内在脑网络改变的研究仍处于早期阶段。由于病理改变主要是探测使用功能磁共振成像（fMRI），许多问题的休息状态的改变在精神疾病，特别是心境障碍患者的电生理基础，仍然没有答案。除了使用脑电图（EEG）的重要研究外，脑磁图（MEG）在该领域的具体最新贡献和未来前景尚未得到充分认识和重视。在这里，我们提供了一个重要的审查最近的研究结果，从MEG静息状态连接在重性抑郁症（MDD）和双相情感障碍（BD）。临床脑磁图静息状态的结果与以前报道的功能磁共振成像和脑电图进行了比较。两者合计，MEG似乎是一个有前途的，但仍然严重开发不足的技术，以解开神经生理机制，介导异常（超和低）连接模式参与MDD和BD。特别地，MEG的主要优点是其能够提供在各种频率（即，振荡耦合）。回顾的文献突出了探测本地和区域间的节奏同步，探索每种疾病的病理生理基础的相关性。然而，在我们能够充分利用MEG连接分析在精神病学中的优势之前，需要理解和考虑MEG连接分析固有的一些局限性。因此，我们还讨论了当前的方法学挑战，并概述了未来研究的路径。脑磁图静息态研究提供了一个重要的窗口扰动自发振荡脑网络，因此提供了一个重要的补充，以功能磁共振成像为基础的静息态测量精神病患者的人群。
Despite being the object of a thriving field of clinical research, the investigation of intrinsic brain network alterations in psychiatric illnesses is still in its early days. Because the pathological alterations are predominantly probed using functional magnetic resonance imaging (fMRI), many questions about the electrophysiological bases of resting-state alterations in psychiatric disorders, particularly among mood disorder patients, remain unanswered. Alongside important research using electroencephalography (EEG), the specific recent contributions and future promise of magnetoencephalography (MEG) in this field are not fully recognized and valued. Here, we provide a critical review of recent findings from MEG resting-state connectivity within major depressive disorder (MDD) and bipolar disorder (BD). The clinical MEG resting-state results are compared with those previously reported with fMRI and EEG. Taken together, MEG appears to be a promising but still critically underexploited technique to unravel the neurophysiological mechanisms that mediate abnormal (both hyper- and hypo-) connectivity patterns involved in MDD and BD. In particular, a major strength of MEG is its ability to provide source-space estimations of neuromagnetic long-range rhythmic synchronization at various frequencies (i.e., oscillatory coupling). The reviewed literature highlights the relevance of probing local and interregional rhythmic synchronization to explore the pathophysiological underpinnings of each disorder. However, before we can fully take advantage of MEG connectivity analyses in psychiatry, several limitations inherent to MEG connectivity analyses need to be understood and taken into account. Thus, we also discuss current methodological challenges and outline paths for future research. MEG resting-state studies provide an important window onto perturbed spontaneous oscillatory brain networks and hence supply an important complement to fMRI-based resting-state measurements in psychiatric populations.