抑郁反刍的认知神经机制

抑郁反刍是指个体把注意力集中在抑郁症状以及这些症状含意的行为和想法, 包含反复思虑抑郁症状、抑郁的可能原因、以及抑郁可能引起的后果。抑郁反刍主要表现出对负性信息过度关注、认知控制缺陷以及非适应性的自我参照加工等认知特点。基于这些特点, 近期脑成像研究发现, 抑郁反刍主要与杏仁核、前额叶以及默认网络等脑区或神经网络有关。未来应在不同亚型抑郁反刍的神经机制、基因以及开发有效的干预技术与方法等方面展开深入研究。     

抑郁障碍和焦虑障碍治疗的神经心理机制——脑成像研究的ALE元分析

抑郁障碍和焦虑障碍是两种最常见的精神障碍。使用激活似然估计(activation likelihood estimation,ALE)元分析对抑郁和焦虑障碍患者治疗后出现的一致脑区激活改变进行评估,并考察不同条件下这一改变的差异。研究共纳入25篇文献,结果发现:(1)抑郁和焦虑障碍接受治疗后,枕下回(inferior occipital gyrus,IOG)等脑区激活增加;豆状核(lentiform nucleus)等激活减少。(2)a.心理治疗产生的脑激活改变为豆状核活动的减少;药物治疗则在于扣带回(cingulate gyrus)等活动增加,而楔前叶(precuneus)等活动减少。b.任务下成像治疗后激活增加的脑区为扣带回等,减少的脑区为楔前叶等;静息下成像,治疗后枕下回等激活增加,额内侧回(medial frontal gyrus,MFG)等激活减少。c.抑郁障碍治疗后的脑激活变化为扣带回等活动增加,楔前叶等活动减少;焦虑障碍在于前扣带回/额内侧回(anterior cingulate/MFG)活动减少。研究表明治疗会给抑郁和焦虑障碍带来一致的脑区激活改变;治疗方法、成像状态和障碍类型不同,治疗后脑区激活改变也存在差异。     

COMT基因Val158Met多态性与抑郁的关系

抑郁的发生具有重要的遗传学基础。COMT基因Val158Met多态性是抑郁的重要候选基因位点。目前有关COMT基因Val158Met多态性与抑郁关系的研究主要采用单基因设计、单基因-环境设计以及多基因-环境设计。有资料显示负性情绪偏向及其相关脑区可能在COMT基因Val158Met多态性与抑郁间起中介作用, 但具体机制仍有待探究。未来研究可以进一步考察被试的种族、年龄和性别等因素对COMT基因Val158Met多态性与抑郁关系的调节作用, 并通过采用多基因-环境设计, 综合运用积极与消极环境指标等措施深入考察负性情绪偏向和相关脑区在COMT基因Val158Met多态性与抑郁间的作用及其机制。     

应用动态因果模型研究阅读神经网络背、腹侧通路的协作机制

在神经网络的最新取向下, 探讨阅读脑机制中背侧和腹侧通路的协作机制, 是解决语言认知神经科学多个理论问题共同面临的焦点。本项目拟通过两个脑功能成像实验, 建构汉字阅读的动态因果模型, 系统地考察汉字阅读的神经网络, 以及阅读网络中背、腹侧通路的协作机制。实验一利用快速适应实验范式的优点, 识别和考察汉字阅读涉及的认知成分所对应的功能脑区, 以及脑区联结形成的神经回路, 并建构汉字阅读的动态因果模型; 实验二进一步考察在刺激属性(语音和语义信息)和任务要求下阅读脑区的动态激活及相互作用。通过不同任务下的模型对比, 重点探讨阅读网络的脑区联结模式变化, 尤其是背、腹侧通路受刺激和任务影响时的协作机制。研究结果将为揭示阅读的神经生理模型、解决语言特异性脑区激活的争论等理论问题提供直接的证据, 还能为语言教学、阅读障碍矫治、以及临床应用提供理论基础与指导。     

剖宫产产后抑郁的发生与社会支持、应对方式及防御方式的相关性

了解剖宫产产后抑郁的发生与社会支持、应对方式及防御方式的相关性,对剖宫产患者进行抑郁状况的调查,并对其影响因素进行分析。对抑郁组与非抑郁组的一般情况构成比比较,并采用抑郁自评量表（SDS）、应付方式评定量表（YFFS）、社会支持问卷（ISSI）、防御方式问卷（DSQ）进行测评。社会支持、应对方式及防御方式对产后抑郁的发生均产生一定作用。应付方式、社会支持及防御方式是影响剖宫产患者产后抑郁的重要因素。     

不同感觉功能对抑郁的影响及其神经机制

大脑通过视觉、听觉、嗅觉、味觉和触觉等感官通道接收来自外界的信息。不同感觉功能受损涉及抑郁发生的中枢机制,而基于不同感官通道进行适当刺激以及多感官联合干预也可能发挥显著的抑郁治疗作用。笔者以症状-脑区-机制-治疗为逻辑主线,首次系统梳理了五种主要感觉障碍人群的抑郁临床症状、抑郁神经机制以及基于感觉刺激的抗抑郁治疗。结果表明,不同感觉功能障碍对抑郁相关神经机制的影响可能表征了不同的抑郁病理,涉及神经元电活动(某些神经元放电和神经环路激活等)和神经生化改变(神经可塑性和神经发生、炎症免疫和HPA轴、神经激素和神经递质等),且主要发生在边缘系统及其附近脑区,涉及岛叶、颞叶、额叶等。因此,未来研究可聚焦于机体对不同感觉信息的提取,这将为人类抑郁的病因和治疗提供新的研究视角。     

相继记忆模式：展现情节记忆形成脑机制的窗口

相继记忆模式在记忆形成的脑认知成像研究领域应用广泛,已成为研究者探究大脑形成记忆时活动的主要窗口。该文在介绍相继记忆模式及记忆形成过程的基础上,分析影响相继记忆效应大小和时空分布的因素,最后讨论内侧颞叶及前额叶神经网络中相关脑区如何分工、协同支持情节记忆形成。情节记忆多维度特性导致该神经网络中有关区域表现出不同形式的相继记忆效应,因此,该文提出有效分离这些脑区在记忆形成中如何分工及交互协同关系进行更为重要     

抑郁症情绪加工与认知控制的脑机制

抑郁症患者负性认知加工偏向是导致抑郁的一个主要认知因素, 是抑郁症的一个稳定特质。这种偏向与对负性情绪刺激自下而上的情绪加工增强有关, 表现为杏仁核和梭状回等脑区过度激活; 也与自上而下的认知控制功能不足有关, 表现为背外侧前额皮质、前扣带回等脑区活性不足。文章在前人研究基础上, 提出了关于抑郁症情绪加工与认知控制脑机制的一个理论假说, 即抑郁症的产生是由于抑郁症患者情绪加工脑区过度激活与认知控制脑区功能降低之间的相互作用而形成的恶性循环所介导。目前证明此理论假说在研究内容、研究材料、研究技术等方面还存在一些问题, 这些可能是未来研究的方向。     

汉-英儿童双语者母语和二语加工的相互作用:来自神经机制方面的证据

双语者语言加工的神经机制一直是语言认知神经科学研究关注的热点问题之一。前人研究多关注二语加工过程,较少研究母语加工神经网络与二语加工神经网络之间的相互作用;并且前人研究多以成人为被试,研究结果可能会受到发展成熟因素的影响。本研究中,28名汉英儿童双语者进行了两种语言条件下的语音判断任务和字形判断任务,在进行任务的同时进行了磁共振扫描。通过全脑分析、感兴趣区分析和相关分析,结果显示:1)汉语语音、字形加工和英语语音、字形加工激活了类似的脑区网络,但也存在差异。汉语特异脑区(根据Tan等人对汉英跨语言比较的元分析进行定义)右侧枕下回、梭状回以及左侧扣带回在英语语音、字形任务中都显著激活,英语语音任务还额外激活了汉语特异的左脑额中回和中央前回;英语特异脑区(根据Tan等人对汉英进行跨语言比较的元分析进行定义)左脑额内侧、额下回以及梭状回在汉语语音、字形加工中显著激活。2)儿童的英语熟练度越低,左脑扣带回(汉语特异脑区)在汉语语音和汉语字形任务中的激活越强;汉语熟练度越高,左脑额下回(英语特异脑区)在英语字形任务中的激活越强,左脑颞上回(英语特异脑区)在英语语音任务中的激活越弱。两个任务的结果一致说明:汉英双语者母语加工的神经网络与二语加工的神经网络之间存在相互作用,并且受到双语熟练度的调制。     

失用性失写的脑机制

失用性失写是指人们知道该如何书写, 但实际上却不会书写或错误书写的一种现象。失用性失写涉及的神经网络包括皮层与皮层连接、皮层与皮质下连接。其中前者包括额-顶叶相关脑区的连接、顶-枕叶相关脑区的连接以及额-顶-枕相关脑区的连接, 这些神经网络分别负责操作空间表征图像、回忆以及检索字母的形状等; 后者包括小脑与额-顶叶的连接、左丘脑-大脑皮质的连接以及纹状体-内囊-左额顶叶的连接等, 它们分别与图像输出程序、书写运动过程、操作指令的执行过程以及字素形成过程等有关。今后的研究应该集中在完善失用性失写的研究范式、深入探讨失用性失写的心理机制以及推动其康复工作的开展等方面。     

Neural correlates of automatic mood regulation in girls at high risk for depression

Daughters of depressed mothers are at significantly elevated risk for developing a depressive disorder themselves. We have little understanding, however, of the specific factors that contribute to this risk. The ability to regulate negative affect effectively is critical to emotional and physical health and may play an important role in influencing risk for depression. We examined whether never-disordered daughters whose mothers have experienced recurrent episodes of depression during their daughters' lifetime differ from never-disordered daughters of never-disordered mothers in their patterns of neural activation during a negative mood induction and during automatic mood regulation. Sad mood was induced in daughters through the use of film clips; daughters then recalled positive autobiographical memories, a procedure shown previously to repair negative affect. During the mood induction, high-risk girls exhibited greater activation than did low-risk daughters in brain areas that have frequently been implicated in the experience of negative affect, including the amygdala and ventrolateral prefrontal cortex. In contrast, during automatic mood regulation, low-risk daughters exhibited greater activation than did their high-risk counterparts in brain areas that have frequently been associated with top-down regulation of emotion, including the dorsolateral prefrontal cortex and dorsal anterior cingulate cortex. These findings indicate that girls at high and low risk for depression differ in their patterns of neural activation both while experiencing, and while repairing negative affect, and suggest that anomalies in neural functioning precede the onset of a depressive episode.     

青少年抑郁及其自动情绪调节的研究概述

本文旨在梳理近年来国内外青少年抑郁及其自动情绪调节在相关研究领域的研究成果,以进一步促进青少年抑郁的自动情绪调节研究。首先,阐明了青少年脑发展与抑郁之间的关系,并概括了三种青少年抑郁模型。然后,澄清了自动情绪调节的内涵和经典范式,而且从时间和空间方面,总结了青少年抑郁的自动情绪调节的神经机制的相关文献。最后,未来要加强功能连接研究,采用经颅直流电刺激(t DCS)、重复经颅磁刺激(r TMS)技术开展干预研究。     

疼痛恐惧的形成及其对疼痛知觉的影响

脑岛、杏仁核是疼痛恐惧形成的重要神经网络中心。疼痛恐惧增强了慢性疼痛患者的疼痛知觉体验, 进而加剧抑郁、焦虑情绪和功能损伤程度。脑岛、杏仁核、前额皮层和前扣带回是疼痛恐惧影响疼痛知觉的重要神经基础。通过认知方法干预疼痛恐惧可以改善患者的抑郁、焦虑情绪, 减少功能损伤。未来研究应拓展疼痛恐惧的测量工具, 采用功能磁共振成像技术进一步揭示疼痛恐惧影响慢性疼痛患者疼痛知觉的神经机制。     

预先承诺的理论解释及其神经机制

预先承诺是指个体提前做出一个有长远目标的决定来限制对即时诱惑的选择,从而避免在未来决策中由于意志力缺乏而出现的自我控制失败。最后期限法和限制选择法是开展预先承诺研究的常用范式。本研究在系统回顾预先承诺的三种理论解释（自我控制资源模型、神经网络模型和时间差强化学习模型）的基础上,尝试提出一个整合性的认知神经机制模型来解释预先承诺的作用过程。未来研究可进一步丰富预先承诺的研究范式和应用范围,并探究预先承诺调控非理性决策的心理与神经机制。     

预先承诺的理论解释及其神经机制

预先承诺是指个体提前做出一个有长远目标的决定来限制对即时诱惑的选择,从而避免在未来决策中由于意志力缺乏而出现的自我控制失败。最后期限法和限制选择法是开展预先承诺研究的常用范式。本研究在系统回顾预先承诺的三种理论解释（自我控制资源模型、神经网络模型和时间差强化学习模型）的基础上,尝试提出一个整合性的认知神经机制模型来解释预先承诺的作用过程。未来研究可进一步丰富预先承诺的研究范式和应用范围,并探究预先承诺调控非理性决策的心理与神经机制。     

Neural decoding of positive and negative self-knowledge

A prevalent explanation for the self-reference effect is that self-knowledge is represented by a set of specific brain regions, including anterior cingulate cortex (ACC), middle frontal gyrus (MFG), superior temporal gyrus (STG), precuneus, and inferior parietal lobule (IPL), which enables self-knowledge to be processed in priority than other-knowledge. However, the conventional univariate activation analysis adopted by previous studies could only detect the activation of separate brain regions. The current study mainly investigated the global neural patterns of self-knowledge (relative to other-knowledge) by the multivariate pattern analysis (MVPA). Results obtained in Experiments 1 and 2 were highly consistent, indicating that the core self-network (mainly the ACC) and salience network (mainly the insula) could distinguish self-knowledge from other-knowledge. Furthermore, the neural pattern of positive self-knowledge mainly included the ventral part of ACC, while the neural pattern of negative self-knowledge mainly included the ventral and dorsal parts of ACC and cognitive control network (dorsolateral prefrontal cortex: dlPFC). These findings suggest that the core self-network and salience network are specific to the neural process of self-knowledge. Moreover, both positive and negative self-knowledge are separately driven by different cognitive and neural characteristics.

     

The Neural Architecture of General Knowledge

Cognitive performance varies widely between individuals and is highly influenced by structural and functional properties of the brain. In the past, neuroscientific research was principally concerned with fluid intelligence, while neglecting its equally important counterpart crystallized intelligence. Crystallized intelligence is defined as the depth and breadth of knowledge and skills that are valued by one's culture. The accumulation of crystallized intelligence is guided by information storage capacities and is likely to be reflected in an individual's level of general knowledge. In spite of the significant role general knowledge plays for everyday life, its neural foundation largely remains unknown. In a large sample of 324 healthy individuals, we used standard magnetic resonance imaging along with functional magnetic resonance imaging and diffusion tensor imaging to examine different estimates of brain volume and brain network connectivity and assessed their predictive power with regard to both general knowledge and fluid intelligence. Our results demonstrate that an individual's level of general knowledge is associated with structural brain network connectivity beyond any confounding effects exerted by age or sex. Moreover, we found fluid intelligence to be best predicted by cortex volume in male subjects and functional network connectivity in female subjects. Combined, these findings potentially indicate different neural architectures for information storage and information processing. © 2019 European Association of Personality Psychology     

Myths and Mates in Childbearing Depression

Abstract

Many myths exist about postpartum depression (PPD), all of which are based on the assumption that PPD differs qualitatively from depression that occurs at other times in women's lives. These myths paint a misleading picture of how PPD arises and may prevent women from receiving treatment for their difficulties. In this article, I identify five common myths and review the research literature to demonstrate that each lacks an empirical basis. Next, I present a model based on attachment theory, which I use to conceptualize PPD that occurs in the context of relationship distress. Finally, I illustrate this model with a clinical case.     

Neuroimaging and Depression: Current Status and Unresolved Issues

ABSTRACT— Major depression is among the most debilitating, prevalent, and recurrent of all psychiatric disorders. Over the past decade, investigators have examined the neural mechanisms associated with this disorder. In this article we present an overview of neuroimaging research that has assessed the structure and functioning of the amygdala, subgenual anterior cingulate cortex, and dorsolateral prefrontal cortex in major depression. We then describe results of studies that have attempted to elucidate the nature of the relations among these brain structures. The picture that emerges from these investigations is one in which heightened activity in limbic structures that underlie the experience and expression of emotion dampens activation in dorsal cortical structures that are involved in affect regulation, reducing their ability to influence limbic activation. We conclude by highlighting unresolved issues concerning the roles of these structures in depression and their relation to specific symptoms of this disorder.     

Brain network interactions in auditory, visual and linguistic processing

In the paper, we discuss the importance of network interactions between brain regions in mediating performance of sensorimotor and cognitive tasks, including those associated with language processing. Functional neuroimaging, especially PET and fMRI, provide data that are obtained essentially simultaneously from much of the brain, and thus are ideal for enabling one to assess interregional functional interactions. Two ways to use these types of data to assess network interactions are presented. First, using PET, we demonstrate that anterior and posterior perisylvian language areas have stronger functional connectivity during spontaneous narrative production than during other less linguistically demanding production tasks. Second, we show how one can use large-scale neural network modeling to relate neural activity to the hemodynamically-based data generated by fMRI and PET. We review two versions of a model of object processing - one for visual and one for auditory objects. The regions comprising the models include primary and secondary sensory cortex, association cortex in the temporal lobe, and prefrontal cortex. Each model incorporates specific assumptions about how neurons in each of these areas function, and how neurons in the different areas are interconnected with each other. Each model is able to perform a delayed match-to-sample task for simple objects (simple shapes for the visual model; tonal contours for the auditory model). We find that the simulated electrical activities in each region are similar to those observed in nonhuman primates performing analogous tasks, and the absolute values of the simulated integrated synaptic activity in each brain region match human fMRI/PET data. Thus, this type of modeling provides a way to understand the neural bases for the sensorimotor and cognitive tasks of interest.