时间：3月19日 (周四)  18:00-20:00

地点：恕园28号楼205室

主题：文献报告和工作进展

1、工作进展：留守经历影响抑郁的心理机制与重复安全依恋启动干预

主讲： 李柯萌 同学

2、文献汇报：层级动态编码机制在人类大脑言语理解中的协调作用

主讲：蒋佳怡 同学

3、文献汇报：内源性逆转录病毒来源的RNA-DNA杂合体在自闭症模型中诱导小胶质细胞突触修剪

主讲：鞠滢蔚 同学

欢迎老师与同学们踊跃出席！

脑科学研究所

文献详细信息

1、题目：Hierarchical dynamic coding coordinates speech comprehension in the human brain

期刊名称：PNAS IF: 9.1 SCI: Q1   中科院：一区

摘要：

Speech comprehension involves transforming an acoustic waveform into meaning. To do so, the human brain generates a hierarchy of features that converts the sensory input into increasingly abstract language properties. However, little is known about how rapid incoming sequences of hierarchical features are continuously coordinated. Here, we propose that each language feature is supported by a dynamic neural code, which represents the sequence history of hierarchical features in parallel. To test this “hierarchical dynamic coding” (HDC) hypothesis, we use time-resolved decoding of brain activity to track the construction, maintenance, and update of a comprehensive hierarchy of language features spanning phonetic, word form, lexical–syntactic, syntactic, and semantic representations. For this, we recorded 21 native English participants with magnetoencephalography (MEG), while they listened to two hours of short stories in English. Our analyses reveal three main findings. First, the brain represents and simultaneously maintains a sequence of hierarchical features. Second, the duration of these representations depends on their level in the language hierarchy. Third, each representation is maintained by a dynamic neural code, which evolves at a speed commensurate with its corresponding linguistic level. This HDC preserves the maintenance of information over time while limiting destructive interference between successive features. Overall, HDC reveals how the human brain maintains and updates the continuously unfolding language hierarchy during natural speech comprehension, thereby anchoring linguistic theories to their biological implementations.

2、题目：Endogenous retrovirus-derived RNA-DNA hybrids induce microglial synaptic pruning in autism models

期刊名称：Neuron   IF:15.3   SCI: Q1   中科院：一区

摘要：Microglial overactivation is a key pathological feature of autism, yet the underlying mechanisms remain unclear. This study reveals that both SETDB1 deficiency and maternal immune activation (MIA) drive complement C4b upregulation specifically in prefrontal cortex (PFC) neurons, leading to excessive microglial synaptic pruning and autistic-like behaviors. Mechanistically, C4b expression is triggered by RNA-DNA hybrids generated upon reactivation of endogenous retroviruses (ERVs). Notably, FDA-approved HIV drugs that inhibit reverse transcriptase reduce C4b levels and alleviate ASD symptoms, highlighting a potential therapeutic strategy through targeting ERV reactivation.