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Since Feeling is First: Comment on “The affective grounds of the mind. The Affective Pertinentization (APER) Model” by Sergio Salvatore, Arianna Palmieri, Raffaele De Luca Picione, Vincenzo Bochicchio, Mateo Reho, Maria Rita Serio, Giampaolo Salvatore 因为感觉是第一位的:评论 "心灵的情感基础。塞尔吉奥-萨尔瓦多、阿丽安娜-帕尔米耶里、拉斐尔-德卢卡-皮乔内、文森佐-博奇基奥、马特奥-雷霍、玛丽亚-丽塔-塞里奥、詹保罗-萨尔瓦多。
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2024-09-26 DOI: 10.1016/j.plrev.2024.09.013
Jose' A. Saporta
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引用次数: 0
Surveying the neuroimager's connectivity toolbox: Comment on “Connectivity analyses for task-based fMRI” by Huang, De Brigard, Cabeza, & Davis 概览神经成像仪的连接性工具箱:对 Huang、De Brigard、Cabeza 和 Davis 所著《基于任务的 fMRI 连接性分析》的评论。
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2024-09-21 DOI: 10.1016/j.plrev.2024.09.012
N. Ladyka-Wojcik, M. Ritchey
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引用次数: 0
Competing models of visual mental imagery: Reverse hierarchy or heterarchy? 视觉心理意象的竞争模式:反向层次结构还是异质结构?
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2024-09-19 DOI: 10.1016/j.plrev.2024.09.011
Alfredo Spagna , Zoe Heidenry , Michelle Miselevich , Chloe Lambert , Benjamin Eisenstadt , Laura Tremblay , Zixin Liu , Jianghao Liu , Paolo Bartolomeo
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引用次数: 0
A natural experiment to understand genetic influences on brain structures. Comment on “Heritability of white matter in twins: A diffusion neuroimaging review” by Giovanni Videtta, Chiara Colli, Letizia Squarcina, Corrado Fagnani, Emanuela Medda, Paolo Brambilla, Giuseppe Delvecchio 了解遗传对大脑结构影响的自然实验评论 "双胞胎白质的遗传性:Giovanni Videtta、Chiara Colli、Letizia Squarcina、Corrado Fagnani、Emanuela Medda、Paolo Brambilla、Giuseppe Delvecchio 发表的评论
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2024-09-15 DOI: 10.1016/j.plrev.2024.09.010
Chien-Ho (Janice) Lin , Ming-Chang Chiang
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引用次数: 0
Stretching the limits of tightness and looseness in music interaction Reply to comments on “Musical engagement as a duet of tight synchrony and loose interpretability” 在音乐互动中拓展 "紧 "与 "松 "的极限 针对 "音乐互动是'紧'的同步性和'松'的可解释性的二重奏 "的评论的答复
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2024-09-15 DOI: 10.1016/j.plrev.2024.09.009
Tal-Chen Rabinowitch
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引用次数: 0
How to modulate consciousness through pre-stimulus manipulation. Comment on “Beyond task response–pre-stimulus activity modulates contents of consciousness” by Northoff, Zilio, and Zhang 如何通过刺激前操作调节意识?就 Northoff、Zilio 和 Zhang 的 "超越任务反应--刺激前活动调节意识内容 "发表评论
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2024-09-11 DOI: 10.1016/j.plrev.2024.09.006
Andrea Lavazza
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引用次数: 0
Combinatorial creativity as blind-variation and selective-retention: A definitional update 作为盲目变异和选择性保留的组合创造力:定义更新
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2024-09-07 DOI: 10.1016/j.plrev.2024.09.008
Dean Keith Simonton

Simonton (2010) presented a combinational model of exceptional creativity based on Campbell's (1960) theory of blind-variation and selective-retention (BVSR). The presentation provided an explanatory and predictive basis for comprehending the phenomenon with respect to individual, domain, and field systems. Although the model inspired future research, such as that regarding the “equal-odds baseline,” its formal definition of “blindness” was inadequate. Recently, a new definition has been advanced that puts this essential concept on a stronger basis. Rather than relying on ideas drawn from evolutionary theory, the new definition depends on epistemology, which is more consistent with Campbell's original intentions. The result is a typology of rational, irrational, and blind variations, where only the blind are logically associated with creativity and knowledge production.

西蒙顿(2010 年)根据坎贝尔(1960 年)的盲目变异和选择性保留(BVSR)理论,提出了一个非凡创造力的组合模型。该模型提供了一个解释性和预测性的基础,用于理解个人、领域和领域系统方面的现象。尽管该模型启发了未来的研究,如关于 "等差数列基线 "的研究,但其对 "盲 "的正式定义并不充分。最近,人们提出了一个新的定义,为这一基本概念奠定了更坚实的基础。新定义没有依赖于进化论的观点,而是依赖于认识论,这更符合坎贝尔的初衷。其结果是形成了理性、非理性和盲目变异的类型学,其中只有盲目变异在逻辑上与创造力和知识生产相关联。
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引用次数: 0
Tracking moment-to-moment variation in cognition with informational connectivity: Comment on “connectivity analyses for task-based fMRI” by Huang, De Brigard, Cabeza, & Davis 用信息连通性追踪认知中的瞬间变化:对 Huang、De Brigard、Cabeza 和 Davis 的 "基于任务的 fMRI 的连接性分析 "的评论
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2024-09-07 DOI: 10.1016/j.plrev.2024.09.007
Marc N. Coutanche
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引用次数: 0
Nature heals: An informational entropy account of self-organization and change in field psychotherapy 自然治愈:对现场心理疗法中的自组织和变化的信息熵解释
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2024-09-06 DOI: 10.1016/j.plrev.2024.09.005
Pietro Sarasso , Wolfgang Tschacher , Felix Schoeller , Gianni Francesetti , Jan Roubal , Michela Gecele , Katiuscia Sacco , Irene Ronga

This paper reviews biophysical models of psychotherapeutic change based on synergetics and the free energy principle. These models suggest that introducing sensory surprise into the patient-therapist system can lead to self-organization and the formation of new attractor states, disrupting entrenched patterns of thoughts, emotions, and behaviours. We propose that the therapist can facilitate this process by cultivating epistemic trust and modulating embodied attention to allow surprising affective states to enter shared awareness. Transient increases in free energy enable the update of generative models, expanding the range of experiences available within the patient-therapist phenomenal field. We hypothesize that patterns of disorganization at behavioural and physiological levels, indexed by increased entropy, complexity, and lower determinism, are key markers and predictors of psychotherapeutic gains. Future research should investigate how the therapist's openness to novelty shapes therapeutic outcomes.

本文回顾了基于协同学和自由能原理的心理治疗变化生物物理模型。这些模型表明,在患者-治疗师系统中引入感官惊喜可以导致自组织和新吸引子状态的形成,破坏根深蒂固的思想、情感和行为模式。我们建议,治疗师可以通过培养认识上的信任和调节体现注意力来促进这一过程,从而让令人惊讶的情感状态进入共同意识。自由能量的瞬时增加能够更新生成模型,扩大患者-治疗师现象场中可用的体验范围。我们假设,以熵增加、复杂性和决定性降低为指标的行为和生理层面的混乱模式是心理治疗收益的关键标志和预测因素。未来的研究应调查治疗师对新奇事物的开放性如何影响治疗结果。
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引用次数: 0
Why graph theory deserves more focus. Comment on “Connectivity analyses for task-based fMRI” by Huang et al. 图论为何值得更多关注?就 Huang 等人的 "基于任务的 fMRI 的连接性分析 "发表评论
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2024-09-05 DOI: 10.1016/j.plrev.2024.09.003
Mohammadreza Khodaei , Clayton C. McIntyre , Haley A. Kirse , Paul Laurienti

Huang et al. have conducted a thorough examination of methodologies used for identifying and analyzing functional connectivity using task-based fMRI. Their review adeptly describes current approaches without bias or preference. In this commentary, we explain why we believe that graph theory is the optimal approach for studying neural mechanisms associated with complex behaviors and cognitive processes that are engaged during task-based fMRI.

Huang 等人对使用基于任务的 fMRI 识别和分析功能连接的方法进行了深入研究。他们的综述巧妙地描述了当前的方法,没有偏见或偏好。在这篇评论中,我们将解释为什么我们认为图论是研究与复杂行为和认知过程相关的神经机制的最佳方法,这些复杂行为和认知过程是在基于任务的 fMRI 过程中参与的。
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引用次数: 0
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Physics of Life Reviews
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