Large-scale coupling of prefrontal activity patterns as a mechanism for cognitive control in health and disease: evidence from rodent models

IF 3.4 3区医学 Q2 NEUROSCIENCES

Frontiers in Neural Circuits Pub Date : 2024-04-04 DOI:10.3389/fncir.2024.1286111

Ignacio Negrón-Oyarzo, Tatiana Dib, Lorena Chacana-Véliz, Nélida López-Quilodrán, Jocelyn Urrutia-Piñones

{"title":"Large-scale coupling of prefrontal activity patterns as a mechanism for cognitive control in health and disease: evidence from rodent models","authors":"Ignacio Negrón-Oyarzo, Tatiana Dib, Lorena Chacana-Véliz, Nélida López-Quilodrán, Jocelyn Urrutia-Piñones","doi":"10.3389/fncir.2024.1286111","DOIUrl":null,"url":null,"abstract":"Cognitive control of behavior is crucial for well-being, as allows subject to adapt to changing environments in a goal-directed way. Changes in cognitive control of behavior is observed during cognitive decline in elderly and in pathological mental conditions. Therefore, the recovery of cognitive control may provide a reliable preventive and therapeutic strategy. However, its neural basis is not completely understood. Cognitive control is supported by the prefrontal cortex, structure that integrates relevant information for the appropriate organization of behavior. At neurophysiological level, it is suggested that cognitive control is supported by local and large-scale synchronization of oscillatory activity patterns and neural spiking activity between the prefrontal cortex and distributed neural networks. In this review, we focus mainly on rodent models approaching the neuronal origin of these prefrontal patterns, and the cognitive and behavioral relevance of its coordination with distributed brain systems. We also examine the relationship between cognitive control and neural activity patterns in the prefrontal cortex, and its role in normal cognitive decline and pathological mental conditions. Finally, based on these body of evidence, we propose a common mechanism that may underlie the impaired cognitive control of behavior.","PeriodicalId":12498,"journal":{"name":"Frontiers in Neural Circuits","volume":"39 1","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Neural Circuits","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fncir.2024.1286111","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}

引用次数: 0

Abstract

Cognitive control of behavior is crucial for well-being, as allows subject to adapt to changing environments in a goal-directed way. Changes in cognitive control of behavior is observed during cognitive decline in elderly and in pathological mental conditions. Therefore, the recovery of cognitive control may provide a reliable preventive and therapeutic strategy. However, its neural basis is not completely understood. Cognitive control is supported by the prefrontal cortex, structure that integrates relevant information for the appropriate organization of behavior. At neurophysiological level, it is suggested that cognitive control is supported by local and large-scale synchronization of oscillatory activity patterns and neural spiking activity between the prefrontal cortex and distributed neural networks. In this review, we focus mainly on rodent models approaching the neuronal origin of these prefrontal patterns, and the cognitive and behavioral relevance of its coordination with distributed brain systems. We also examine the relationship between cognitive control and neural activity patterns in the prefrontal cortex, and its role in normal cognitive decline and pathological mental conditions. Finally, based on these body of evidence, we propose a common mechanism that may underlie the impaired cognitive control of behavior.

查看原文本刊更多论文

作为健康和疾病认知控制机制的前额叶活动模式的大规模耦合：来自啮齿动物模型的证据

行为的认知控制对人的健康至关重要，它能让人以目标为导向适应不断变化的环境。在老年人认知能力衰退和病态心理状态下，都能观察到行为认知控制的变化。因此，恢复认知控制能力可能是一种可靠的预防和治疗策略。然而，人们对其神经基础尚不完全了解。认知控制由前额叶皮质支持，它是整合相关信息以适当组织行为的结构。在神经生理学层面，前额叶皮层和分布式神经网络之间的振荡活动模式和神经尖峰活动的局部和大规模同步化支持了认知控制。在这篇综述中，我们主要关注啮齿动物模型，探讨这些前额叶模式的神经元起源，及其与分布式大脑系统协调的认知和行为相关性。我们还研究了认知控制与前额叶皮层神经活动模式之间的关系，以及前额叶皮层在正常认知衰退和病态心理状况中的作用。最后，基于这些证据，我们提出了认知控制行为受损的共同机制。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Frontiers in Neural Circuits NEUROSCIENCES-

CiteScore

6.00

自引率

5.70%

发文量

135

审稿时长

4-8 weeks

期刊介绍： Frontiers in Neural Circuits publishes rigorously peer-reviewed research on the emergent properties of neural circuits - the elementary modules of the brain. Specialty Chief Editors Takao K. Hensch and Edward Ruthazer at Harvard University and McGill University respectively, are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Frontiers in Neural Circuits launched in 2011 with great success and remains a "central watering hole" for research in neural circuits, serving the community worldwide to share data, ideas and inspiration. Articles revealing the anatomy, physiology, development or function of any neural circuitry in any species (from sponges to humans) are welcome. Our common thread seeks the computational strategies used by different circuits to link their structure with function (perceptual, motor, or internal), the general rules by which they operate, and how their particular designs lead to the emergence of complex properties and behaviors. Submissions focused on synaptic, cellular and connectivity principles in neural microcircuits using multidisciplinary approaches, especially newer molecular, developmental and genetic tools, are encouraged. Studies with an evolutionary perspective to better understand how circuit design and capabilities evolved to produce progressively more complex properties and behaviors are especially welcome. The journal is further interested in research revealing how plasticity shapes the structural and functional architecture of neural circuits.