摘要： Abstract: To face the challenges of keeping healthy in increasing population sizes of both ageing and developing people in China, a fundamental request from the public health is the development of lifespan normative trajectories of brain and behavior. This paper introduces the Chinese Color Nest Project (CCNP 2013–2022), a large-scale tenyear program of modeling brain and behavioral trajectories for human lifespan (6–85 years old). We plan to gradually collect the behavioral and brain imaging data at ages across the lifespan on nationwide and depict the normal trajectory of Chinese brain development across the lifespan, based on the accelerated longitudinal design in the coming next 10 years starting at 2013. Various psychiatric disorders have been demonstrated highly relevant to abnormal events during the neurodevelopment regarding their onset ages of first episodes. Therefore, delineation of normative growth curves of brain and cognition in typically developing children is extremely useful for monitoring, early detecting and intervention of various neurodevelopmental disorders. In this paper, we detailed the developing part of CCNP, devCCNP. It tracked 192 healthy children and adolescents (6–18 years old) in Beibei district of Chongqing for the first 5 years of the full CCNP cohort (2013–2017). To demonstrate the feasibility of implementing the longterm follow-up of CCNP, we here comprehensively document devCCNP in terms of its experimental design, sample strategies, data acquisition and storage as well as some preliminary results and data sharing roadmap for future. Specifically, we first describe the accelerated longitudinal sampling design as well as its exact ratio of sample dropping off during the data collection. Second, we present several initial findings such as canonical growth curves of cortical surface areas of a set of well-established large-scale functional networks of the human brain. Finally, together with records generated by many psychological and behavioral tests, we will provide an individual growing-up report for each family participating the program, initiating the potential guidance on the individual academic and social development. The resources introduced in the current work can provide first-hand data for a series of coming Chinese brain development studies, such as Chinese Standard MRI Brain Templates, Normative Growth Curves of Chinese Brain and Cognition as well as Mapping of Language Areas in Chinese Developing Brain. These would not only offer normative references of the atypical brain and cognition development for Chinese population but also serve as a strong force on accelerating the pace of integrating Chinese brain development into the national brain program or Chinese Brain Project.
摘要： Various resting-state fMRI (R-fMRI) measures have been developed to characterize intrinsic brain activity. While each of these measures has gained a growing presence in the literature, questions remain regarding the common and unique aspects these indices capture. The present work provided a comprehensive examination of inter-individual variation and intra-individual temporal variation for commonly used measures, including fractional amplitude of low frequency fluctuations, regional homogeneity, voxel-mirrored homotopic connectivity, network centrality and global signal correlation. Regardless of whether examining intra-individual or inter-individual variation, we found that these definitionally distinct R-fMRI indices tend to exhibit a relatively high degree of covariation. When taken as a measure of intrinsic brain function, inter-individual differences in concordance for R-fMRI indices appeared to be stable, and negatively related to age (i.e., functional concordance among indices decreases with age). To understand the functional significance of concordance, we noted that higher concordance was generally associated with higher strengths of R-fMRI indices, regardless of whether looking through the lens of inter-individual (i.e., high vs. low concordance participants) or intra-individual (i.e., high vs. low concordance states identified via temporal dynamic analyses) differences. Finally, temporal dynamics analyses also revealed that high concordance states are characterized by increased within- and between-network functional connectivity, suggesting more general variations in network integration and segregation. The current study draws attention to questions regarding how to select an R-fMRI index for usage in a given study, as well as how to compare findings across studies that examine inter-individual or group differences using different indices. Additionally, our work suggests global neural signals exist in the brain, and their spontaneous variations over time result in fluctuations in the connectedness of brain regions.
摘要：Recent studies have indicated that sleep deprivation (SD) alters intrinsic low-frequency connectivity in the resting brain, mainly focusing on the default mode network (DMN) and its anticorrelated network (ACN). These networks hold key functions in segregating internally and externally directed awareness. However, far less attention has been paid to investigation of the altered amplitude of these low-frequency fluctuations (ALFF) at the whole-brain level and more importantly by what extent the sleep-deprived resting brain pattern can be reproducible and predict individual behavioral performance. The aim of this study was to characterize more clearly the influence of sleep on the whole brain level of ALFF changes and its relation with the performance of a lexical decision task in the sleep deprivation. Sixteen healthy participants underwent fMRI three times: once after a normal night of sleep in the rested wakefulness (RW) state and two following approximately 24 h of total SD separated by an interval of two weeks (SD1 and SD2). Our behavioral results showed that sleep stabilizes performance whereas two sleep deprivation even at an interval of two weeks consistently deteriorates it. Sleep deprivation attenuated the ALFF mainly in the bilateral orbitofrontal cortex (OFC), bilateral dorsolateral prefrontal cortex (DLPFC) and right inferior parietal lobule (IPL). By contrast, the enhanced ALFF emerged in the left sensorimotor cortex (SMA), visual cortex and left fusiform gyrus. Conjunction analysis of SD1 and SD2 versus the control maps and voxel-wise ICC analysis revealed that these SD induced ALFF changes showed a significantly high reliability (ICC＞0.5). Particularly, the attenuation of the right IPL presents a significant negative relation with the behavior performance and can be reproducible for two SD at an interval of two weeks. Our results suggest that ALFF is a stable measure in study of SD, and the right IPL may represent a stable biomarker that responds to sleep loss.
摘要： Sharing drafts of scientific manuscripts on preprint hosting services for early exposure and pre-publication feedback is a well-accepted practice in fields such as physics, astronomy, or mathematics. The field of neuroscience, however, has yet to adopt the preprint model. A reason for this reluctance might partly be the lack of central preprint services for the field of neuroscience. To address this issue, we announce the launch of Preprints of the R-fMRI Network (PRN), a community funded preprint hosting service. PRN provides free-submission and free hosting of manuscripts for resting state functional magnetic resonance imaging (R-fMRI) and neuroscience related studies. Submissions will be peer viewed and receive feedback from readers and a panel of invited consultants of the R-fMRI Network. All manuscripts and feedback will be freely available online with citable permanent URL for open-access. The goal of PRN is to supplement the “peer reviewed” journal publication system – by more rapidly communicating the latest research achievements throughout the world. We hope PRN will help the field to embrace the preprint model and thus further accelerate R-fMRI and neuroscience related studies, eventually enhancing human mental health.
摘要：Although爈inear trend removing has often been implemented as a routine preprocessing step in resting-state functional magnetic resonance imaging (RS-fMRI) data analysis, the爏patial distribution爋f the magnitude of linear trend is still unclear. Further, it is interesting whether there will be any difference of the linear trend magnitude between different resting-states. For the first aim, we analyzed 5 RS-fMRI datasets from 5 different scanners (namely Beijing-Simens-3T, Cambridge-Siemens-3T, CCBD-GE750-3T, Milwaukee-GE-3T, and Oulu-GE-1.5T). One-sample t-tests on the regression coefficient (i.e., the magnitude of linear trend) were performed for each datasets. For the second aim, we used 2 datasets in each of which different states were compared, one containing eyes-open resting-state (EO-RS) vs. eyes-closed resting-state (EC-RS) and the other containing two steady-state tasks, i.e.,爎eal-time finger force feedback�RT-FFF) and sham finger force feedback (S-FFF) tasks. Paired t-tests were performed between EO-RS and EC-RS, and between RT-FFF and S-FFF. One-sample t-tests showed that the spatial pattern of linear trend of RS-fMRI time series were quite different between different manufactures. The 3T SIEMENS scanners showed positive linear trend in almost all part of the brain, while GE scanners showed primarily negative linear trend in most part of the brain. Paired t-tests showed some differences between paired conditions; differences between EO-RS and EC-RS were mainly in cuneus and eyeballs, and differences between RT-FFF and S-FFF were found in the thalamus, anterior cingulate gyrus, and right sensorimotor cortex. The current study indicated that, while the manufacturer-dependent linear trend of RS-fMRI time series were mostly scanner-related noise, the linear trend may also be physiological noise (eyeballs) or even physiologically meaningful, especially during steady-state tasks.
摘要： Brain imaging efforts are being increasingly devoted to decode the functioning of the human brain. Among neuroimaging techniques, resting-state fMRI (R-fMRI) is currently expanding exponentially. Beyond the general neuroimaging analysis packages (e.g., SPM, AFNI and FSL), REST and DPARSF were developed to meet the increasing need of user-friendly toolboxes for R-fMRI data processing. To address recently identified methodological challenges of R-fMRI, we introduce the newly developed toolbox, DPABI, which was evolved from REST and DPARSF. DPABI incorporates recent research advances on head motion control and measurement standardization, thus allowing users to evaluate results using stringent control strategies. DPABI also emphasizes test-retest reliability and quality control of data processing. Furthermore, DPABI provides a user-friendly pipeline analysis toolkit for rat/monkey R-fMRI data analysis to reflect the rapid advances in animal imaging. In addition, DPABI includes preprocessing modules for task-based fMRI, voxel-based morphometry analysis, statistical analysis and results viewing. DPABI is designed to make data analysis require fewer manual operations, be less time-consuming, have a lower skill requirement, a smaller risk of inadvertent mistakes, and be more comparable across studies. We anticipate this open-source toolbox will assist novices and expert users alike and continue to support advancing R-fMRI methodology and its application to clinical translational studies.
摘要： 多项式加工树(multinomial processing tree, MPT)从理论模型出发，使用多项式模型来拟合行为数据并估计理论模型中各个加工过程发生的可能性。该模型能够有效分离和量化不同心理过程，广泛应用于社会认知研究之中，如刻板印象、道德判断等。本文首先介绍该模型的基本原理及其实现，并以道德判断为例说明其在社会心理学中的最新应用。最后，总结其对社会心理学研究的意义，即可以作为一种方法提高研究的效度和精度，具有较高的实用价值，并指出其潜在不足。
摘要：[目的] 利用微博大数据探索熬夜和焦虑、抑郁情绪的关系。 [方法] 本研究根据微博用户在夜间的活动状态, 把100万活跃用户分为熬夜组和非熬夜组，比较两组用户在所发微博中出现的体现焦虑和抑郁情绪的相关词词频。 [结果] 独立样本t检验结果显示，熬夜组的焦虑相关词词频显著高于非熬夜组，t=36.86，p<0.001；熬夜组的抑郁相关词词频显著高于非熬夜组，t=49.71，p<0.001。 [局限] 词频分析与用心理测量量表测量抑郁和焦虑的情感无法完全等同，基于大数据的词频分析虽然提供了一种高效的分析方法，但不能完全替代严格的心理测量。 [结论] 入睡时间过晚会影响睡眠质量；熬夜人群更容易受到焦虑和抑郁情绪的困扰。
摘要：It has been demonstrated that visual attention is guided by information actively maintained in working memory (WM). However, it remains unknown whether other operations (e.g. inhibition) on WM contents influence selective attention. This issue was investigated in a visual search task where WM contents with either operation (maintenance or inhibition) appeared as distractors in the search display. Behavioral results showed that search performance was slowed down for presenting the maintained contents, but speeded up for the inhibited contents. These results suggested an operation-directed selection of WM contents that visual attention was distinctively influenced by contents with different operation. These observations were further confirmed by the indexes of event-related potentials (ERPs). The inhibited WM contents were suppressed at sensory gating stage (i.e., suppressed P1 amplitude), while the maintained WM contents guided visual attention (i.e., enhanced N2pc amplitude). It seems that results from ERPs and behavior are integrated. The maintained contents guided visual attention that hindered performance of searching a target, while the inhibited contents screened attention that facilitated target searching in the other space. Besides, P3 component indexing updating of WM, which revealed comparable latency both for the maintained and the inhibited WM contents, but with longer latency than the neutral contents. These results suggested that the WM contents with distinct operations were expelled from the focus of executive attention after the onset of the search task, which might be necessary for the WM contents influencing selective attention. The current study reveals that operations of WM contents distinctively affect early selective attention to the matching contents, which sheds some light on the interaction between WM and visual attention.
摘要： 基于记忆再巩固理论的提取消退范式被证明是一种有效和颇有前景的消除不良记忆的方法。本研究将预期错误(Prediction Error, PE)应用于提取消退范式中, 采用多感官复合刺激模型(声音+图片)作为条件刺激, 以皮电反应作为恐惧反应指标, 考察在提取阶段不同的预期错误设置(无PE、单个负性PE、单个正性PE和多重PE)对条件性恐惧记忆提取消退效果有何差异。结果表明：无PE组和多重PE组出现了恐惧的自发恢复和重建效应, 而负性PE组和正性PE组均没有出现恐惧的自发恢复和重建效应。说明了在对复合恐惧记忆进行提取消退时, 提取阶段适当的PE才能使记忆进入再巩固过程, 随后传统消退达到抑制恐惧返回效果, 提取阶段没有PE或PE量过多都不能达到恐惧消退效果。
摘要： 高热量食物摄入导致的能量正平衡是导致肥胖的原因之一。本研究通过3个实验考察了健康目标启动能否以及如何降低高热量食物的消费, 提高低热量食物的消费。结果发现：(1)健康目标启动能够显著减少人们对高热量食物的消费, 增加对低热量食物的消费。(2)对食物的情感预测分别在健康目标启动减少高热量食物消费、增加低热量食物消费中起中介作用。因此, 健康目标启动可以通过降低(增加)对高(低)热量食物的情感预测来帮助人们减少(增加)高(低)热量食物的选择和消费。
摘要： 采用修改后的Taylor攻击范式, 将被试为虚拟对手选择的白噪音的惩罚强度作为反应性攻击的指标, 选取眶部内侧前额叶(Orbitomedial Prefrontal Cortex, OMPFC)作为种子点, 考察静息状态下正常人群OMPFC与其他脑区的连接及其与反应性攻击之间的关系。功能连接结果表明, 左侧OMPFC与右侧角回(Angular gyrus)、左侧OMPFC与双侧尾状核(Caudate nucleus)、右侧OMPFC与右侧尾状核的功能连接与反应性攻击显著负相关。格兰杰因果分析的结果进一步表明, 右侧尾状核到右侧OMPFC的效应连接与反应性攻击呈显著负相关, 尤其是与激发条件下的反应性攻击呈显著负相关。这表明, 静息状态下OMPFC与尾状核的连接与反应性攻击有着密切的关系。
摘要： 索行为是婴幼儿从外部环境获取信息、促进认知发展的重要方式和途径。本研究采用家庭半结构观察和实验室陌生情境技术考察66名14个月母婴对中母亲的鼓励自主水平、儿童依恋类型与学步儿探索行为的关系。结果发现：在控制家庭社会经济地位(SES)及儿童气质困难度后, (1)母亲鼓励自主显著正向预测探索操作总频次、探索操作种类、探索坚持性; (2)儿童依恋类型显著负向预测探索操作总频次, 正向预测探索操作平均时长; (3)学步儿依恋类型可以显著地调节母亲鼓励自主对学步儿探索能力的作用, 表现为母亲鼓励自主行为能显著正向预测安全型依恋学步儿的探索能力; 当学步儿为不安全依恋时, 母亲鼓励自主行为对婴儿探索能力的预测作用不显著。结论：母亲鼓励自主行为能够促进婴幼儿的探索行为, 且儿童依恋安全性对这一影响具有一定的促进作用。
摘要： 已有触觉研究和已有新产品研究都不能回答是否先前触摸一个新产品会影响消费者随后对另一新产品的理解和评估。本文发现：事先让消费者触摸(vs.不触摸)一个外观极度不一致的新产品会促进消费者对另一外观极度不一致的目标新产品的评估和选择(实验1-实验2)。实验3进一步发现, 当先前触摸的产品和随后评估的产品在外观极度不一致这一点上不具相似性时(如, 当所摸新产品在外观上与常见同类产品一致), 先前触摸将不再促进目标新产品的不一致解决, 进而不再影响目标新产品评估。最后, 实验4剥离了触觉和视觉的影响, 发现实验1~实验3的发现受触觉(先前摸)而非视觉(先前看)主导的。
摘要： 采用连续闪烁抑制范式(Continuous Flash Suppression, CFS), 通过比较不同美感的图片的突破抑制时间, 考察了美感对西方绘画无意识加工的影响。实验1使用黑白噪音图片, 通过单因素被试内设计考察了高、中、低三种美感等级的彩色西方绘画的突破抑制时间。结果发现, 美感高和美感中等的西方绘画比美感低的西方绘画能更快突破噪音图片的抑制进入意识。实验2考察在彩色噪音图片的抑制下, 美感是否依然影响彩色西方绘画突破抑制的时间。结果发现, 美感不影响西方绘画突破抑制时间, 且突破抑制时间显著长于实验1。这些结果表明美感对西方绘画无意识加工的影响受到双眼竞争的眼间抑制过程的限制, 只有在黑白噪音图抑制的情况下, 美感会影响西方绘画进入意识的速度。与黑白噪音图片相比, 彩色噪音图片可能对颜色信息的抑制更强, 干扰了美感对西方绘画无意识加工的影响。
摘要： 以360名初中生为被试, 使用推箱子游戏, 结合游戏日志文件(log-file)和机器学习技术预测学生的推理能力和数学成绩。预测变量是从推箱子的过程数据中提取的一系列特征指标, 结果变量是瑞文推理测验成绩和数学成绩, 且均以25%为高低分组的临界值转换为二分变量。结果发现, 训练的模型预测推理能力最高能获得76.11%的查准率、65.72%的精确率、63.10%的查全率以及65.01%的F1得分; 预测数学成绩最高能获得83.07%的查准率、73.70%的精确率、73.33%的查全率以及75.57%的F1得分。研究结果说明, 机器学习建立的区分模型具有较好的预测效果, 利用log-file所记录的游戏过程数据可以对个体的能力进行有效预测。