The real-time fMRI neurofeedback based stratification of Default Network Regulation Neuroimaging data repository.
The real-time fMRI neurofeedback based stratification of Default Network Regulation Neuroimaging data repository.
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DOI：
10.1016/j.neuroimage.2016.10.048
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发表时间：
2017-02-01
期刊：
影响因子：
5.7
通讯作者：
Craddock RC
中科院分区：
文献类型：
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作者：
McDonald AR;Muraskin J;Dam NTV;Froehlich C;Puccio B;Pellman J;Bauer CCC;Akeyson A;Breland MM;Calhoun VD;Carter S;Chang TP;Gessner C;Gianonne A;Giavasis S;Glass J;Homann S;King M;Kramer M;Landis D;Lieval A;Lisinski J;Mackay-Brandt A;Miller B;Panek L;Reed H;Santiago C;Schoell E;Sinnig R;Sital M;Taverna E;Tobe R;Trautman K;Varghese B;Walden L;Wang R;Waters AB;Wood DC;Castellanos FX;Leventhal B;Colcombe SJ;LaConte S;Milham MP;Craddock RC
这个数据描述符描述了一个开放共享的数据库，这些数据来自一个实验，用于评估默认模式网络（DMN）活动中的个体间差异。该存储库包括来自多源干扰任务的横截面功能磁共振成像（fMRI）数据，以评估DMN失活，道德困境任务，以评估DMN激活，静息状态fMRI扫描和DMN神经反馈范例，以评估DMN调制，沿着行为和认知测量。我们报告了来自180名参与者的最终目标样本的n=125名参与者的技术验证。每个会话包括在上述任务和静息状态期间采集的一个全脑解剖扫描和全脑回波平面成像（EPI）扫描。这些数据包括几个自我报告的措施有关的持久性思维，情绪调节，想象力的过程，沿着快速视觉信息处理的行为措施。数据的技术验证确认任务按预期停用和激活DMN。组水平的神经反馈数据分析表明，参与者能够调节他们的DMN与相当大的受试者间的变异性。对行为反应的初步分析，特别是自我报告的睡眠表明，多达73名参与者可能需要从分析中排除，这取决于正在测试的假设。目前的数据与增强的Nathan Kline研究所，罗克兰样本相关联，并建立在全面的神经成像和深度表型分析的基础上。由于有限的信息是目前可获得的能力，直接调制默认模式网络的个体差异，这些数据提供了一个独特的机会来检查DMN调制能力与许多表型特征。
This data descriptor describes a repository of openly shared data from an experiment to assess inter-individual differences in default mode network (DMN) activity. This repository includes cross-sectional functional magnetic resonance imaging (fMRI) data from the Multi Source Interference Task, to assess DMN deactivation, the Moral Dilemma Task, to assess DMN activation, a resting state fMRI scan, and a DMN neurofeedback paradigm, to assess DMN modulation, along with accompanying behavioral and cognitive measures. We report technical validation from n=125 participants of the final targeted sample of 180 participants. Each session includes acquisition of one whole-brain anatomical scan and whole-brain echo-planar imaging (EPI) scans, acquired during the aforementioned tasks and resting state. The data includes several self-report measures related to perseverative thinking, emotion regulation, and imaginative processes, along with a behavioral measure of rapid visual information processing. Technical validation of the data confirms that the tasks deactivate and activate the DMN as expected. Group level analysis of the neurofeedback data indicates that the participants are able to modulate their DMN with considerable inter-subject variability. Preliminary analysis of behavioral responses and specifically self-reported sleep indicate that as many as 73 participants may need to be excluded from an analysis depending on the hypothesis being tested. The present data are linked to the enhanced Nathan Kline Institute, Rockland Sample and builds on the comprehensive neuroimaging and deep phenotyping available therein. As limited information is presently available about individual differences in the capacity to directly modulate the default mode network, these data provide a unique opportunity to examine DMN modulation ability in relation to numerous phenotypic characteristics.