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Bodily rhythms and the Brain: Critical links to cognition in health and disease. Comment on ‘A body-brain (dis)equilibrium regulating transitions from health to pathology’ by Antonio Criscuolo, Anna Czepiel, Michael Schwartze and Sonja A. Kotz 身体节律和大脑:健康和疾病认知的关键环节。对Antonio Criscuolo, Anna Czepiel, Michael Schwartze和Sonja A. Kotz的“调节从健康到病理转变的身体-大脑(非)平衡”的评论
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2026-03-01 Epub Date: 2025-12-05 DOI: 10.1016/j.plrev.2025.12.005
Marzia De Lucia , Andria Pelentritou , Alessandro Tavano
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引用次数: 0
From brain dynamics to the dynamic self - standing in the spatiotemporal architecture of the psyche: Comment on “Brain dynamics shape cognition–Spatiotemporal Neuroscience” by Northoff, Wolman & Zhang 从脑动力学到心理时空结构中的动态自我:评诺斯霍夫、沃尔曼和张的《脑动力学塑造认知-时空神经科学》
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2026-03-01 Epub Date: 2025-12-17 DOI: 10.1016/j.plrev.2025.12.008
Andrea Scalabrini
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引用次数: 0
Mechanomedicine in anastomosis: Bridging biomechanics and clinical outcomes for improved surgical healing 吻合中的机械医学:桥接生物力学和改善手术愈合的临床结果
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2025-12-01 Epub Date: 2025-10-05 DOI: 10.1016/j.plrev.2025.09.008
Nianyuan Shi , Yufei Ma , Ning Liu , Yi Lv , Feng Xu
Anastomosis is a critical surgical procedure for reconnecting the tissue ends. Despite progress in surgical techniques, complications such as leaks and strictures still pose serious health risks. Most traditional approaches primarily focus on tissue alignment and perfusion. However, they often overlook the influence of mechanical cues on healing process. In this review, we introduce the concept of mechanomedicine that is a new field for integration of biomechanics and mechanobiology to guide cellular responses and tissue regeneration during anastomosis. We summarize the mechanical characteristics of different anastomotic techniques, including the type and level of mechanical forces generated at the repair site. In addition, we explore how these mechanical cues affect signaling pathways, such as Piezo1, TRPV4, and YAP/TAZ that are essential for hemostasis, inflammation, and tissue regeneration during the anastomotic healing process. By evaluating conventional and emerging anastomotic techniques, we reveal how distinct mechanical cues influence clinical outcomes. Finally, we highlight the potential of artificial intelligence and robotic systems that may help to optimize the mechanical microenvironment, predict complications, and personalize treatments. This review will establishe a novel mechanomedicine-driven framework for anastomosis, aiming to utilize biomechanics and mechanobiology for enhancing surgical precision and improving patient outcomes.
吻合是重新连接组织末端的关键外科手术。尽管外科技术取得了进步,但诸如泄漏和狭窄等并发症仍然构成严重的健康风险。大多数传统的方法主要集中在组织对齐和灌注。然而,他们往往忽略了机械线索对愈合过程的影响。本文介绍了机械医学的概念,这是生物力学和力学生物学相结合的一个新领域,用于指导吻合过程中的细胞反应和组织再生。我们总结了不同吻合技术的力学特征,包括修复部位产生的机械力的类型和水平。此外,我们还探讨了这些机械信号如何影响信号通路,如Piezo1、TRPV4和YAP/TAZ,这些信号通路在吻合口愈合过程中对止血、炎症和组织再生至关重要。通过评估传统和新兴的吻合技术,我们揭示了不同的机械线索如何影响临床结果。最后,我们强调了人工智能和机器人系统的潜力,它们可能有助于优化机械微环境、预测并发症和个性化治疗。本文将建立一种新的机械医学驱动的吻合框架,旨在利用生物力学和机械生物学来提高手术精度和改善患者预后。
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引用次数: 0
Integrating large language models and active inference to understand eye movements in reading and dyslexia 整合大语言模型和主动推理来理解阅读和阅读障碍中的眼球运动
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2025-12-01 Epub Date: 2025-09-03 DOI: 10.1016/j.plrev.2025.08.008
Francesco Donnarumma , Mirco Frosolone , Giovanni Pezzulo
We present a novel computational model employing hierarchical active inference to simulate reading and eye movements. The model characterizes linguistic processing as inference over a hierarchical generative model, facilitating predictions and inferences at various levels of granularity, from syllables to sentences. Our approach combines the strengths of large language models for realistic textual predictions and active inference for guiding eye movements to informative textual information, enabling the testing of predictions. The model exhibits proficiency in reading both known and unknown words and sentences, adhering to the distinction between lexical and nonlexical routes in dual route theories of reading. Our model therefore provides a novel approach to understand the cognitive processes underlying reading and eye movements, within a predictive processing framework. Furthermore, our model can potentially aid in understanding how maladaptive predictive processing can produce reading deficits associated with dyslexia. As a proof of concept, we show that attenuating the contribution of priors during the reading process leads to incorrect inferences and a more fragmented reading style, characterized by a greater number of shorter saccades, aligning with empirical findings regarding eye movements in dyslexic individuals. In summary, our model represents a significant advancement in comprehending the cognitive processes involved in reading and eye movements, with potential implications for understanding dyslexia in terms of maladaptive inference.
我们提出了一种新的计算模型,采用分层主动推理来模拟阅读和眼球运动。该模型将语言处理描述为分层生成模型上的推理,促进从音节到句子的各种粒度级别的预测和推理。我们的方法结合了大型语言模型的优势,用于现实文本预测和主动推理,用于引导眼球运动以获取翔实的文本信息,从而能够对预测进行测试。该模型能够熟练地阅读已知和未知的单词和句子,坚持阅读双路径理论中词汇路径和非词汇路径的区分。因此,我们的模型提供了一种在预测处理框架内理解阅读和眼球运动背后的认知过程的新方法。此外,我们的模型可以潜在地帮助理解不适应的预测处理如何产生与阅读障碍相关的阅读缺陷。作为概念的证明,我们表明,在阅读过程中减弱先验的贡献会导致不正确的推理和更碎片化的阅读风格,其特征是更多的短扫视,这与关于阅读困难个体眼球运动的实证研究结果一致。总之,我们的模型在理解与阅读和眼球运动有关的认知过程方面取得了重大进展,对理解阅读障碍的适应不良推理具有潜在的意义。
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引用次数: 0
Getting surprise under control: Via active inference or meta-reinforcement learning? 控制惊喜:通过主动推理还是元强化学习?
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2025-12-01 Epub Date: 2025-10-27 DOI: 10.1016/j.plrev.2025.10.007
Massimo Silvetti , Eliana Vassena
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引用次数: 0
Fundamental constraints shaping intrinsic brain activity: Comment on “Dark brain energy: Toward an integrative model of spontaneous slow oscillations” by Zhu-Qing Gong and Xi-Nian Zuo 塑造大脑内在活动的基本约束:评龚竹青、左希念《暗能量:走向自发慢振荡的综合模型
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2025-12-01 Epub Date: 2025-08-20 DOI: 10.1016/j.plrev.2025.08.006
James C. Pang
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引用次数: 0
From static catalogs to dynamic regulation: Comment on “Unlocking the brain's code: The crucial role of post-translational modifications in neurodevelopment and neurological function” by Peng Ye et al. 从静态编目到动态调控:评叶鹏等《解锁大脑密码:翻译后修饰在神经发育和神经功能中的关键作用》
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2025-12-01 Epub Date: 2025-10-21 DOI: 10.1016/j.plrev.2025.10.003
Sung Hee Baek , Keun Il Kim
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引用次数: 0
Brain networkness: from dynamics to function and dysfunction reply to comments on: “Does the brain behave like a (complex) network? I. Dynamics” 大脑网络:从动态到功能和功能障碍回复以下评论:“大脑的行为像一个(复杂)网络吗?”即动力”
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2025-12-01 Epub Date: 2025-08-05 DOI: 10.1016/j.plrev.2025.08.001
D. Papo , J.M. Buldú
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引用次数: 0
Revealing hierarchical organization via frequency oscillations: Comment on: “Dark brain energy: Toward an integrative model of spontaneous slow oscillations” by Gong & Zuo 通过频率振荡揭示层次组织:评龚、左的《暗脑能量:走向自发慢振荡的整合模型
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2025-12-01 Epub Date: 2025-08-22 DOI: 10.1016/j.plrev.2025.08.012
Hao Ming Dong , Li Hu
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引用次数: 0
The viscoelastic living matter from biomolecular condensates to tissues: Comment on “viscoelastic mechanics of living cells” by Zhou et al 从生物分子凝聚物到组织的粘弹性生物物质——评周等人的《活细胞的粘弹性力学
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2025-12-01 Epub Date: 2025-08-22 DOI: 10.1016/j.plrev.2025.08.010
Dongshi Guan
None.
没有。
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引用次数: 0
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