Physics of Life Reviews最新文献_第5页

Mathematical models on Alzheimer's disease and its treatment: A review 阿尔茨海默病的数学模型及其治疗综述。

IF 13.7 1区生物学

Physics of Life Reviews Pub Date : 2025-01-10 DOI: 10.1016/j.plrev.2025.01.004

Mitali Maji, Subhas Khajanchi

{"title":"Mathematical models on Alzheimer's disease and its treatment: A review","authors":"Mitali Maji, Subhas Khajanchi","doi":"10.1016/j.plrev.2025.01.004","DOIUrl":"10.1016/j.plrev.2025.01.004","url":null,"abstract":"<div><div>Alzheimer's disease is a gradually advancing neurodegenerative disease. According to the report by “World Health Organization (WHO)”, there are over 55 million individuals currently living with Alzheimer's disease and other dementia globally, and the number of sufferers is increasing every day. In absence of effective cures and preventive measures, this number is predicted to triple by 2050. The disease's origin is still unclear, and also no such treatment is available for eradicating the disease. Based on the crucial factors that are connected to the disease's progression, the authors developed several types of mathematical models. We review such mathematical models that are utilized to better understand the pathophysiology of Alzheimer's disease. Section-wise, we categorize the mathematical models in terms of different components that might be responsible for Alzheimer's disease. We explain the mathematical models with their descriptions and respective conclusions. In addition to mathematical models, we concentrate on biological aspects of the disease and possible therapeutic targets. We explore the disease's biological basis primarily to understand how proteins, glial cells, cytokines, genes, calcium signaling and oxidative stress contribute to the disease. We go through several treatment targets that might stop the progression of the disease or at least slow it down. We present a table that summarizes the mathematical models in terms of their formalisms, highlighting key components and important remarks.</div></div>","PeriodicalId":403,"journal":{"name":"Physics of Life Reviews","volume":"52 ","pages":"Pages 207-244"},"PeriodicalIF":13.7,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142997894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From affective landscape to social meaning: The role of vitality forms in the APER model. Comment on “The affective grounds of the mind. The Affective Pertinentization (APER) model” by Salvatore et al. 2024 从情感景观到社会意义：活力在APER模型中形成的作用。评《心灵的情感基础》情感针对性（APER）模型”，Salvatore et al. 2024。

IF 13.7 1区生物学

Physics of Life Reviews Pub Date : 2025-01-08 DOI: 10.1016/j.plrev.2025.01.005

Cuccio Valentina, Montalti Martina

引用次数: 0

The paradox of the self-studying brain 自学大脑的悖论。

IF 13.7 1区生物学

Physics of Life Reviews Pub Date : 2025-01-07 DOI: 10.1016/j.plrev.2024.12.009

Simone Battaglia , Philippe Servajean , Karl J. Friston

{"title":"The paradox of the self-studying brain","authors":"Simone Battaglia , Philippe Servajean , Karl J. Friston","doi":"10.1016/j.plrev.2024.12.009","DOIUrl":"10.1016/j.plrev.2024.12.009","url":null,"abstract":"<div><div>The paradox of a brain trying to study itself presents a conundrum, raising questions about self-reference, consciousness, psychiatric disorders, and the boundaries of scientific inquiry. By which means can this complex organ shift the focus of study towards itself? We aim at unpacking the intricacies of this paradox. Historically, this question has been raised by philosophers under different frameworks. Thanks to the development of novel techniques to study the brain on a functional and structural level - as well as neurostimulation protocols that can modulate its activity in selected areas - we now possess advanced methods to progress this intricate inquiry. Nonetheless, the broader implications of the brain's pursuit of understanding itself remain unclear to this day. Ultimately, the need to employ both perception and introspection has led to different formulations of consciousness. This creates a challenge, as evidence supporting one formulation does not necessarily support the other. By deconstructing the paradoxical nature of self understanding - from a philosophical and neuroscientific point of view - we may gain insights into the human brain, which could lead to improved understanding of self-awareness and consciousness.</div></div>","PeriodicalId":403,"journal":{"name":"Physics of Life Reviews","volume":"52 ","pages":"Pages 197-204"},"PeriodicalIF":13.7,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142969098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

It's about time: Rhythmic foundations of inner thought 这是关于时间的：内在思想的节奏基础。

IF 13.7 1区生物学

Physics of Life Reviews Pub Date : 2025-01-06 DOI: 10.1016/j.plrev.2025.01.003

Bo Yao

引用次数: 0

Preliminaries to artificial consciousness: A multidimensional heuristic approach 人工意识初探：多维启发式方法。

IF 13.7 1区生物学

Physics of Life Reviews Pub Date : 2025-01-03 DOI: 10.1016/j.plrev.2025.01.002

K. Evers , M. Farisco , R. Chatila , B.D. Earp , I.T. Freire , F. Hamker , E. Nemeth , P.F.M.J. Verschure , M. Khamassi

{"title":"Preliminaries to artificial consciousness: A multidimensional heuristic approach","authors":"K. Evers , M. Farisco , R. Chatila , B.D. Earp , I.T. Freire , F. Hamker , E. Nemeth , P.F.M.J. Verschure , M. Khamassi","doi":"10.1016/j.plrev.2025.01.002","DOIUrl":"10.1016/j.plrev.2025.01.002","url":null,"abstract":"<div><div>The pursuit of artificial consciousness requires conceptual clarity to navigate its theoretical and empirical challenges. This paper introduces a composite, multilevel, and multidimensional model of consciousness as a heuristic framework to guide research in this field. Consciousness is treated as a complex phenomenon, with distinct constituents and dimensions that can be operationalized for study and for evaluating their replication. We argue that this model provides a balanced approach to artificial consciousness research by avoiding binary thinking (e.g., conscious vs. non-conscious) and offering a structured basis for testable hypotheses. To illustrate its utility, we focus on \"awareness\" as a case study, demonstrating how specific dimensions of consciousness can be pragmatically analyzed and targeted for potential artificial instantiation. By breaking down the conceptual intricacies of consciousness and aligning them with practical research goals, this paper lays the groundwork for a robust strategy to advance the scientific and technical understanding of artificial consciousness.</div></div>","PeriodicalId":403,"journal":{"name":"Physics of Life Reviews","volume":"52 ","pages":"Pages 180-193"},"PeriodicalIF":13.7,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142942198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancing epidemic modeling: The role of LLMs and generative agent-based models Comment on LLMs and generative agent-based models for complex systems research by Lu et al. 对Lu等人在复杂系统研究中的llm和基于生成代理的模型的评论。

IF 13.7 1区生物学

Physics of Life Reviews Pub Date : 2025-01-02 DOI: 10.1016/j.plrev.2025.01.001

Gui-Quan Sun , Li Li , Yan-Song Pei

引用次数: 0

Comment on: “Data-driven mathematical modeling approaches for COVID-19: A survey” 评论：“COVID-19数据驱动的数学建模方法：调查”。

IF 13.7 1区生物学

Physics of Life Reviews Pub Date : 2024-12-31 DOI: 10.1016/j.plrev.2024.12.014

Ousmane Seydi

引用次数: 0

Patterns of neuronal synchrony in higher-order networks 高阶网络中神经元同步模式。

IF 13.7 1区生物学

Physics of Life Reviews Pub Date : 2024-12-30 DOI: 10.1016/j.plrev.2024.12.013

Soumen Majhi , Samali Ghosh , Palash Kumar Pal , Suvam Pal , Tapas Kumar Pal , Dibakar Ghosh , Jernej Završnik , Matjaž Perc

{"title":"Patterns of neuronal synchrony in higher-order networks","authors":"Soumen Majhi , Samali Ghosh , Palash Kumar Pal , Suvam Pal , Tapas Kumar Pal , Dibakar Ghosh , Jernej Završnik , Matjaž Perc","doi":"10.1016/j.plrev.2024.12.013","DOIUrl":"10.1016/j.plrev.2024.12.013","url":null,"abstract":"<div><div>Synchrony in neuronal networks is crucial for cognitive functions, motor coordination, and various neurological disorders. While traditional research has focused on pairwise interactions between neurons, recent studies highlight the importance of higher-order interactions involving multiple neurons. Both types of interactions lead to complex synchronous spatiotemporal patterns, including the fascinating phenomenon of chimera states, where synchronized and desynchronized neuronal activity coexist. These patterns are thought to resemble pathological states such as schizophrenia and Parkinson's disease, and their emergence is influenced by neuronal dynamics as well as by synaptic connections and network structure. This review integrates the current understanding of how pairwise and higher-order interactions contribute to different synchrony patterns in neuronal networks, providing a comprehensive overview of their role in shaping network dynamics. We explore a broad range of connectivity mechanisms that drive diverse neuronal synchrony patterns, from pairwise long-range temporal interactions and time-delayed coupling to adaptive communication and higher-order, time-varying connections. We cover key neuronal models, including the Hindmarsh-Rose model, the stochastic Hodgkin-Huxley model, the Sherman model, and the photosensitive FitzHugh-Nagumo model. By investigating the emergence and stability of various synchronous states, this review highlights their significance in neurological systems and indicates directions for future research in this rapidly evolving field.</div></div>","PeriodicalId":403,"journal":{"name":"Physics of Life Reviews","volume":"52 ","pages":"Pages 144-170"},"PeriodicalIF":13.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142926213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The controversial status of affect in the interplay between the body and the mind Comment on “The affective grounds of the mind. The affective pertinentization (APER) model” by S. Salvatore, A. Palmieri, R. De Luca Picione, V. Bochicchio, M. Reho, M. R. Serio, & G. Salvatore 情感在身心相互作用中的争议地位评析“心灵的情感基础”。情感针对性（APER）模型（S. Salvatore， A. Palmieri， R. De Luca picone， V. Bochicchio， M. Reho， M. R. Serio, & G. Salvatore）

IF 13.7 1区生物学

Physics of Life Reviews Pub Date : 2024-12-26 DOI: 10.1016/j.plrev.2024.12.015

N. Gaj

引用次数: 0

Building bidirectional, signed, and weighted interaction network among microbes 构建微生物间双向、签名、加权的相互作用网络——评Gong等人“全球变暖下森林恢复力的土壤微生物群网络拓扑变化”

IF 13.7 1区生物学

Physics of Life Reviews Pub Date : 2024-12-19 DOI: 10.1016/j.plrev.2024.12.010

Tianchen Gao, Jingyuan Liu

引用次数: 0