{"title":"The impact of total sleep deprivation on attentional networks and its neural mechanisms: Based on the Attention Network Test","authors":"Ying Yang , Chen Yang , Changnan Guo , Li Mu","doi":"10.1016/j.bbr.2025.115513","DOIUrl":null,"url":null,"abstract":"<div><div>Sleep deprivation, both daily and occupational, has become a prevalent issue in modern society, significantly affecting individuals' attention functions. Traditionally, attention was viewed as a singular, unified system, but advances in neuroscience have revealed it as a network involving coordinated interactions across multiple brain regions. Posner and Petersen’s Attention Network Theory delineates three distinct subcomponents — alerting, orienting, and executive control — based on anatomical localization and neurobiochemical mechanisms. However, most studies on sleep deprivation often overlook these subcomponents, treating attention as a generalized process. This paper aims to address this gap by investigating the effects of total sleep deprivation (TSD) on these attentional subcomponents and their potential neural mechanisms focusing on both the general healthy population and specific occupational groups. Using the Attention Network Test (ANT) paradigm and its variants, the findings reveal that TSD differentially affects the three subcomponents of attentional networks, with occupation-specific differences. Notably, the impact of TSD on executive control exhibits greater variability. The state instability hypothesis and local sleep theory are proposed to explain these neural mechanisms, suggesting that TSD disrupts attentional networks through an interplay of top-down state instability and bottom-up local sleep processes. Future research should refine experimental paradigms related to attentional networks, integrate cognitive neuroscience methodologies and computational modeling approaches, and expand investigations into sleep restriction. Such advancements will provide a more comprehensive understanding of how TSD affects attentional networks and further elucidate the interplay between the state instability hypothesis and local sleep theory.</div></div>","PeriodicalId":8823,"journal":{"name":"Behavioural Brain Research","volume":"484 ","pages":"Article 115513"},"PeriodicalIF":2.6000,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behavioural Brain Research","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0166432825000993","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BEHAVIORAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Sleep deprivation, both daily and occupational, has become a prevalent issue in modern society, significantly affecting individuals' attention functions. Traditionally, attention was viewed as a singular, unified system, but advances in neuroscience have revealed it as a network involving coordinated interactions across multiple brain regions. Posner and Petersen’s Attention Network Theory delineates three distinct subcomponents — alerting, orienting, and executive control — based on anatomical localization and neurobiochemical mechanisms. However, most studies on sleep deprivation often overlook these subcomponents, treating attention as a generalized process. This paper aims to address this gap by investigating the effects of total sleep deprivation (TSD) on these attentional subcomponents and their potential neural mechanisms focusing on both the general healthy population and specific occupational groups. Using the Attention Network Test (ANT) paradigm and its variants, the findings reveal that TSD differentially affects the three subcomponents of attentional networks, with occupation-specific differences. Notably, the impact of TSD on executive control exhibits greater variability. The state instability hypothesis and local sleep theory are proposed to explain these neural mechanisms, suggesting that TSD disrupts attentional networks through an interplay of top-down state instability and bottom-up local sleep processes. Future research should refine experimental paradigms related to attentional networks, integrate cognitive neuroscience methodologies and computational modeling approaches, and expand investigations into sleep restriction. Such advancements will provide a more comprehensive understanding of how TSD affects attentional networks and further elucidate the interplay between the state instability hypothesis and local sleep theory.
期刊介绍:
Behavioural Brain Research is an international, interdisciplinary journal dedicated to the publication of articles in the field of behavioural neuroscience, broadly defined. Contributions from the entire range of disciplines that comprise the neurosciences, behavioural sciences or cognitive sciences are appropriate, as long as the goal is to delineate the neural mechanisms underlying behaviour. Thus, studies may range from neurophysiological, neuroanatomical, neurochemical or neuropharmacological analysis of brain-behaviour relations, including the use of molecular genetic or behavioural genetic approaches, to studies that involve the use of brain imaging techniques, to neuroethological studies. Reports of original research, of major methodological advances, or of novel conceptual approaches are all encouraged. The journal will also consider critical reviews on selected topics.