Convergence, preliminary findings and future directions across the four human connectome projects investigating mood and anxiety disorders.
Convergence, preliminary findings and future directions across the four human connectome projects investigating mood and anxiety disorders.
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融合，初步发现和未来的方向跨越四个人类连接体项目调查情绪和焦虑障碍。
DOI：
10.1016/j.neuroimage.2021.118694
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发表时间：
2021-12-15
期刊：
影响因子：
5.7
通讯作者：
Williams LM
中科院分区：
文献类型：
--
作者：
Tozzi L;Anene ET;Gotlib IH;Wintermark M;Kerr AB;Wu H;Seok D;Narr KL;Sheline YI;Whitfield-Gabrieli S;Williams LM
在本文中，我们提供了一个概述的基本原理，方法和初步结果的四个连接组研究与人类疾病调查情绪和焦虑症。第一项研究，“焦虑痛苦的维度连接组学”（HCP-DAM），描述了焦虑痛苦障碍的跨诊断样本的大脑症状关系。第二项研究，“人类连接体项目的混乱的情绪状态”（HCP-DES），测试了一个假设驱动的模型，脑回路功能障碍的样本未经治疗的年轻人与抑郁症和焦虑症的症状。第三项研究，“通过速效疗法干扰难治性抑郁症连接体”（HCP-MDD），量化了三种速效干预措施导致的结构和功能连接体的改变：电休克治疗，连续氯胺酮治疗和完全睡眠剥夺。最后，第四项研究，“青少年焦虑和抑郁相关的连接体”（HCP-ADA），调查了青少年焦虑和抑郁亚型的发展轨迹。这四个项目使用可比较和标准化的人类连接组项目磁共振成像（MRI）协议，包括结构MRI，弥散加权MRI以及任务和静息状态功能MRI。所有四个项目还进行了全面和收敛的临床和神经心理学评估，包括（但不限于）人口统计信息，临床诊断，情绪和焦虑症的症状，消极和积极的影响，认知功能，以及暴露于早期生活压力。在这四个项目中进行的第一轮分析提供了新的方法来研究大型数据集中功能连接体和自我报告之间的关系，确定了情绪和焦虑症症状的新功能相关性，描述了连接体症状特征随时间的轨迹，并量化了新治疗方法对异常连接的影响。总的来说，四项与人类疾病相关的连接组研究（Connectome Studies Related to Human Disease）调查情绪和焦虑障碍所获得和报告的数据描述了一系列丰富的趋同生物学、临床和行为表型，这些表型跨越了情绪障碍发病的高峰年龄。这些数据正在准备与科学界公开分享，随后由Connectome协调机构（CCF）进行质量筛选。CCF还计划发布所有项目的数据，这些项目已经使用相同的最先进的管道进行了预处理。由此产生的数据集将使研究人员有机会汇集四个项目的互补数据，以研究可能导致情绪和焦虑症的电路功能障碍，绘制电路和症状之间的内聚关系，并探索这些关系如何随着年龄和急性干预而变化。这个大型的综合数据集也可能是使用数据驱动的分析方法的理想选择，为未来的临床试验和专注于临床或行为结果的干预提供神经生物学目标。
In this paper we provide an overview of the rationale, methods, and preliminary results of the four Connectome Studies Related to Human Disease investigating mood and anxiety disorders. The first study, “Dimensional connectomics of anxious misery” (HCP-DAM), characterizes brain-symptom relations of a transdiagnostic sample of anxious misery disorders. The second study, “Human connectome Project for disordered emotional states” (HCP-DES), tests a hypothesis-driven model of brain circuit dysfunction in a sample of untreated young adults with symptoms of depression and anxiety. The third study, “Perturbation of the treatment resistant depression connectome by fast-acting therapies” (HCP-MDD), quantifies alterations of the structural and functional connectome as a result of three fast-acting interventions: electroconvulsive therapy, serial ketamine therapy, and total sleep deprivation. Finally, the fourth study, “Connectomes related to anxiety and depression in adolescents” (HCP-ADA), investigates developmental trajectories of subtypes of anxiety and depression in adolescence. The four projects use comparable and standardized Human Connectome Project magnetic resonance imaging (MRI) protocols, including structural MRI, diffusion-weighted MRI, and both task and resting state functional MRI. All four projects also conducted comprehensive and convergent clinical and neuropsychological assessments, including (but not limited to) demographic information, clinical diagnoses, symptoms of mood and anxiety disorders, negative and positive affect, cognitive function, and exposure to early life stress. The first round of analyses conducted in the four projects offered novel methods to investigate relations between functional connectomes and self-reports in large datasets, identified new functional correlates of symptoms of mood and anxiety disorders, characterized the trajectory of connectome-symptom profiles over time, and quantified the impact of novel treatments on aberrant connectivity. Taken together, the data obtained and reported by the four Connectome Studies Related to Human Disease investigating mood and anxiety disorders describe a rich constellation of convergent biological, clinical, and behavioral phenotypes that span the peak ages for the onset of emotional disorders. These data are being prepared for open sharing with the scientific community following screens for quality by the Connectome Coordinating Facility (CCF). The CCF also plans to release data from all projects that have been pre-processed using identical state-of-the-art pipelines. The resultant dataset will give researchers the opportunity to pool complementary data across the four projects to study circuit dysfunctions that may underlie mood and anxiety disorders, to map cohesive relations among circuits and symptoms, and to probe how these relations change as a function of age and acute interventions. This large and combined dataset may also be ideal for using data-driven analytic approaches to inform neurobiological targets for future clinical trials and interventions focused on clinical or behavioral outcomes.
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DOI：
10.1016/j.bpsgos.2021.06.007
发表时间：
2021-12
期刊：
Biological psychiatry global open science
影响因子：
--
作者：
Holt-Gosselin B;Tozzi L;Ramirez CA;Gotlib IH;Williams LM
通讯作者：
Williams LM
影响因子：
3.2
作者：
Helm K;Viol K;Weiger TM;Tass PA;Grefkes C;Del Monte D;Schiepek G
通讯作者：
Schiepek G
影响因子：
25.8
作者：
Kaiser, Roselinde H.;Andrews-Hanna, Jessica R.;Wager, Tor D.;Pizzagalli, Diego A.
通讯作者：
Pizzagalli, Diego A.
影响因子：
82.9
作者：
Drysdale AT;Grosenick L;Downar J;Dunlop K;Mansouri F;Meng Y;Fetcho RN;Zebley B;Oathes DJ;Etkin A;Schatzberg AF;Sudheimer K;Keller J;Mayberg HS;Gunning FM;Alexopoulos GS;Fox MD;Pascual-Leone A;Voss HU;Casey BJ;Dubin MJ;Liston C
通讯作者：
Liston C
影响因子：
5.7
作者：
Demro C;Mueller BA;Kent JS;Burton PC;Olman CA;Schallmo MP;Lim KO;Sponheim SR
通讯作者：
Sponheim SR