Neuroimaging Labs, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Mol Psychiatry. 2019 May;24(5):746-756. doi: 10.1038/s41380-017-0009-x. Epub 2018 Feb 8.
Functional magnetic resonance imaging (fMRI) successfully disentangled neuronal pathophysiology of major depression (MD), but only a few fMRI studies have investigated correlates and predictors of remission. Moreover, most studies have used clinical outcome parameters from two time points, which do not optimally depict differential response times. Therefore, we aimed to detect neuronal correlates of response and remission in an antidepressant treatment study with 7 T fMRI, potentially harnessing advances in detection power and spatial specificity. Moreover, we modeled outcome parameters from multiple study visits during a 12-week antidepressant fMRI study in 26 acute (aMD) patients compared to 36 stable remitted (rMD) patients and 33 healthy control subjects (HC). During an electrical painful stimulation task, significantly higher baseline activity in aMD compared to HC and rMD in the medial thalamic nuclei of the pulvinar was detected (p = 0.004, FWE-corrected), which was reduced by treatment. Moreover, clinical response followed a sigmoid function with a plateau phase in the beginning, a rapid decline and a further plateau at treatment end. By modeling the dynamic speed of response with fMRI-data, perigenual anterior cingulate activity after treatment was significantly associated with antidepressant response (p < 0.001, FWE-corrected). Temporoparietal junction (TPJ) baseline activity significantly predicted non-remission after 2 antidepressant trials (p = 0.005, FWE-corrected). The results underline the importance of the medial thalamus, attention networks in MD and antidepressant treatment. Moreover, by using a sigmoid model, this study provides a novel method to analyze the dynamic nature of response and remission for future trials.
功能磁共振成像(fMRI)成功地解析了重度抑郁症(MD)的神经生理学,但只有少数 fMRI 研究调查了缓解的相关性和预测因素。此外,大多数研究使用了两个时间点的临床结果参数,这不能最佳地描述不同的反应时间。因此,我们旨在使用 7T fMRI 检测抗抑郁治疗研究中的反应和缓解的神经相关性,从而潜在地利用检测能力和空间特异性的进步。此外,我们在 26 名急性 MD(aMD)患者和 36 名稳定缓解 MD(rMD)患者和 33 名健康对照组(HC)的为期 12 周的抗抑郁 fMRI 研究中,使用多个研究访视的结果参数进行建模。在电痛刺激任务中,与 HC 和 rMD 相比,aMD 在丘脑髓质的内侧丘脑核中检测到基线活动明显更高(p=0.004,FWE 校正),治疗后降低。此外,临床反应遵循 S 形函数,在开始时有一个平台阶段,迅速下降,治疗结束时有进一步的平台。通过使用 fMRI 数据对反应的动态速度进行建模,治疗后扣带回前回的周边活动与抗抑郁反应显著相关(p<0.001,FWE 校正)。颞顶联合区(TPJ)基线活动在 2 次抗抑郁试验后显著预测无缓解(p=0.005,FWE 校正)。结果强调了中脑、MD 中的注意力网络和抗抑郁治疗的重要性。此外,通过使用 S 形模型,本研究提供了一种新的方法来分析未来试验中反应和缓解的动态性质。