Gerez Montserrat, Suárez Enrique, Serrano Carlos, Castanedo Lauro, Tello Armando
Departamento de Neurofisiología Clínica, Hospital Español de México, Mexico City, Mexico; Departamento de Psiquiatría, Hospital Español de México, Mexico City, Mexico; Unidad de Postgrado, Universidad Nacional Autónoma de México, Mexico City, Mexico Neuropsychiatric Disease and Treatment 2016:12 159-175.
Departamento de Psiquiatría, Hospital Español de México, Mexico City, Mexico; Unidad de Postgrado, Universidad Nacional Autónoma de México, Mexico City, Mexico Neuropsychiatric Disease and Treatment 2016:12 159-175.
Neuropsychiatr Dis Treat. 2016 Jan 18;12:159-75. doi: 10.2147/NDT.S89651. eCollection 2016.
Despite the devastating impact of anxiety disorders (ADs) worldwide, long-lasting debates on causes and remedies have not solved the clinician's puzzle: who should be treated and how? Psychiatric classifications conceptualize ADs as distinct entities, with strong support from neuroscience fields. Yet, comorbidity and pharmacological response suggest a single "serotonin dysfunction" dimension. Whether AD is one or several disorders goes beyond academic quarrels, and the distinction has therapeutic relevance. Addressing the underlying dysfunctions should improve treatment response. By its own nature, neurophysiology can be the best tool to address dysfunctional processes.
To search for neurophysiological dysfunctions and differences among panic disorder (PD), agoraphobia-social-specific phobia, obsessive-compulsive disorder (OCD) and generalized anxiety disorder.
A sample population of 192 unmedicated patients and 30 aged-matched controls partook in this study. Hypothesis-related neurophysiological variables were combined into ten independent factors: 1) dysrhythmic patterns, 2) delta, 3) theta, 4) alpha, 5) beta (whole-head absolute power z-scores), 6) event-related potential (ERP) combined latency, 7) ERP combined amplitude (z-scores), 8) magnitude, 9) site, and 10) site of hyperactive networks. Combining single variables into representative factors was necessary because, as in all real-life phenomena, the complexity of interactive processes cannot be addressed through single variables and the multiplicity of potentially implicated variables would demand an extremely large sample size for statistical analysis.
The nonparametric analysis correctly classified 81% of the sample. Dysrhythmic patterns, decreased delta, and increased beta differentiated AD from controls. Shorter ERP latencies were found in several individual patients, mostly from the OCD group. Hyperactivities were found at the right frontorbital-striatal network in OCD and at the panic circuit in PD.
Our findings support diffuse cortical instability in AD in general, with individual differences in information processing deficits and regional hyperactivities in OCD and PD. Study limitations and the rationale behind the variable selection and combination strategy will be discussed before addressing the therapeutic implications of our findings.
尽管焦虑症(ADs)在全球范围内具有毁灭性影响,但关于其病因和治疗方法的长期争论尚未解决临床医生的难题:谁应该接受治疗以及如何治疗?精神病学分类将焦虑症概念化为不同的实体,这得到了神经科学领域的有力支持。然而,共病现象和药物反应表明存在一个单一的“血清素功能障碍”维度。焦虑症是一种还是多种疾病,这不仅仅是学术争论,而且这种区分具有治疗相关性。解决潜在的功能障碍应该会改善治疗反应。就其本质而言,神经生理学可能是解决功能失调过程的最佳工具。
寻找惊恐障碍(PD)、广场恐怖症 - 社交特定恐惧症、强迫症(OCD)和广泛性焦虑症之间的神经生理功能障碍及差异。
192名未接受药物治疗的患者和30名年龄匹配的对照组参与了本研究。与假设相关的神经生理变量被组合成十个独立因素:1)节律紊乱模式,2)δ波,3)θ波,4)α波,5)β波(全脑绝对功率z分数),6)事件相关电位(ERP)组合潜伏期,7)ERP组合波幅(z分数),8)幅度,9)部位,10)活跃网络部位。将单个变量组合成代表性因素是必要的,因为正如在所有现实生活现象中一样,交互过程的复杂性无法通过单个变量来解决,而且潜在涉及的变量的多样性将需要极大的样本量进行统计分析。
非参数分析正确分类了81%的样本。节律紊乱模式、δ波减少和β波增加将焦虑症与对照组区分开来。在一些个体患者中发现了较短的ERP潜伏期,大多来自强迫症组。在强迫症患者的右眶额 - 纹状体网络和惊恐障碍患者的惊恐环路中发现了活动亢进。
我们的研究结果总体上支持焦虑症中广泛的皮质不稳定,在信息处理缺陷方面存在个体差异,在强迫症和惊恐障碍中存在区域活动亢进。在探讨我们研究结果的治疗意义之前,将讨论研究局限性以及变量选择和组合策略背后的基本原理。