Abhimanyu Mahajan, Travis Stoub, David A Gonzalez, Glenn Stebbins, Gabrielle Gray, Tila Warner-Rosen, Dana Sugar, Caroline Pylypyuk, Mandy Yu, Cynthia Comella
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引用次数: 0
摘要
背景:焦虑可能先于颈性肌张力障碍(CD)的运动症状出现,并与肌张力障碍的早期发病有关。我们对颈性肌张力障碍患者焦虑的了解还不够:研究与 CD 焦虑相关的大脑网络:方法:26 名特发性 CD 患者接受了无对比度核磁共振脑成像检查。方法:26 名特发性 CD 受试者接受了无对比度核磁共振脑成像检查。定量各向异性(QA)用于确定性扩散纤维追踪。然后使用相关性束图将 QA 与状态-特质焦虑量表(STAI)的状态分量表(STAI-S)和特质分量表(STAI-T)相关联:连接测量分析表明,状态焦虑与杏仁核至丘脑/顶叶的双侧束中的QA直接相关,而特质焦虑与杏仁核至运动皮层、感觉运动皮层和顶叶联想区的双侧束中的QA直接相关(FDR≤0.05):我们绘制的 CD 患者焦虑与大脑网络图突出显示了杏仁核在 CD 患者焦虑的病理生理学中的作用。
Understanding Anxiety in Cervical Dystonia: An Imaging Study.
Background: Anxiety may precede motor symptoms in cervical dystonia (CD) and is associated with an earlier onset of dystonia. Our understanding of anxiety in CD is inadequate.
Objective: To investigate brain networks associated with anxiety in CD.
Methods: Twenty-six subjects with idiopathic CD underwent MRI Brain without contrast. Correlational tractography was derived using Diffusion MRI connectometry. Quantitative Anisotropy (QA) was used in deterministic diffusion fiber tracking. Correlational tractography was then used to correlate QA with State-Trait Anxiety Inventory (STAI) state (STAI-S) and trait (STAI-T) subscales.
Results: Connectometry analysis showed direct correlation between state anxiety and QA in tracts from amygdala to thalamus/ pulvinar bilaterally, and trait anxiety and QA in tracts from amygdala to motor cortex, sensorimotor cortex and parietal association area bilaterally (FDR ≤0.05).
Conclusion: Our efforts to map anxiety to brain networks in CD highlight the role of the amygdala in the pathophysiology of anxiety in CD.
期刊介绍:
Movement Disorders Clinical Practice- is an online-only journal committed to publishing high quality peer reviewed articles related to clinical aspects of movement disorders which broadly include phenomenology (interesting case/case series/rarities), investigative (for e.g- genetics, imaging), translational (phenotype-genotype or other) and treatment aspects (clinical guidelines, diagnostic and treatment algorithms)