Use of an Individual-Level Approach to Identify Cortical Connectivity Biomarkers in Obsessive-Compulsive Disorder.

Use of an Individual-Level Approach to Identify Cortical Connectivity Biomarkers in Obsessive-Compulsive Disorder.
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DOI:
10.1016/j.bpsc.2018.07.014
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发表时间:
2019-01
期刊:
Biological psychiatry. Cognitive neuroscience and neuroimaging
影响因子:
--
通讯作者:
Liu H
Liu H
中科院分区:
其他
文献类型:
--
作者:
Brennan BP;Wang D;Li M;Perriello C;Ren J;Elias JA;Van Kirk NP;Krompinger JW;Pope HG Jr;Haber SN;Rauch SL;Baker JT;Liu H

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现有的强迫症(OCD)的功能连接研究支持电路功能障碍的模型。然而,这些组水平的观察未能产生足够的神经影像学生物标志物作为测试强迫症的诊断,预测当前或未来的症状,或预测治疗反应,也许是因为这些研究未能解释的结构和功能的大脑组织的主体间的差异。我们使用功能区域,定位在每个41个单独的强迫症患者,以确定全球和特定维度的症状严重程度的皮质连接生物标志物,并检测功能连接,跟踪症状严重程度的变化后,密集的住宅治疗。整体强迫症症状的严重程度与大规模内在大脑网络之间的连接障碍直接相关-特别是背侧注意力,默认和额顶叶网络之间。这些网络之间的连接子集内的变化与症状的解决有关。此外,确定了与污染/清洗的严重程度和伤害/检查症状的责任显著相关的不同和非重叠的皮质连接生物标志物,突出了可分离神经网络对特定OCD症状维度的贡献。相比之下,当我们使用人群水平的大脑图谱以传统方式定义功能区域时,我们不再能够识别任何症状维度的严重性或改善的连接生物标志物。我们的研究结果似乎鼓励使用个人层面的方法来连接分析,以更好地描绘皮层和皮层下网络的基础症状的严重程度和改善在维度水平的强迫症患者。
Existing functional connectivity studies of obsessive-compulsive disorder (OCD) support a model of circuit dysfunction. However, these group-level observations have failed to yield neuroimaging biomarkers sufficient to serve as a test for the OCD diagnosis, to predict current or future symptoms, or to predict treatment response, perhaps because these studies failed to account for the substantial inter-subject variability in structural and functional brain organization. We used functional regions, localized in each of 41 individual OCD patients, to identify cortical connectivity biomarkers of both global and dimension-specific symptom severity and to detect functional connections that track changes in symptom severity following intensive residential treatment. Global OCD symptom severity was directly linked to dysconnectivity between large-scale intrinsic brain networks – particularly between dorsal attention, default, and frontoparietal networks. Changes within a subset of connections between these networks were associated with symptom resolution. Additionally, distinct and non-overlapping cortical connectivity biomarkers were identified that were significantly associated with the severity of contamination/washing and responsibility for harm/checking symptoms, highlighting the contribution of dissociable neural networks to specific OCD symptom dimensions. By contrast, when we defined functional regions conventionally, using a population-level brain atlas, we no longer could identify connectivity biomarkers of severity or improvement for any of the symptom dimensions. Our findings would seem to encourage use of individual-level approaches to connectivity analyses in order to better delineate the cortical and subcortical networks underlying symptom severity and improvement at the dimensional level in OCD patients.
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