{"title":"在复杂的脑适应和频谱信号组成中自发α振荡与脑反应的关系。","authors":"Guang Ouyang","doi":"10.1111/psyp.70087","DOIUrl":null,"url":null,"abstract":"<p><p>The brain operates as a complex dynamic system, continuously generating both structured spontaneous activity and stimulus-evoked responses. Because these activities originate from the same neural architecture, they are hypothesized to be interconnected. However, research has yet to establish a definitive relationship between spontaneous and response patterns, as findings have been mixed and inconclusive. We argue that this ambiguity stems from significant theoretical and methodological challenges in characterizing the relevant variables amidst the brain's complexity. In this study, we investigated the cross-individual correlation between spontaneous Alpha amplitude and the magnitude of brain responses to simple stimuli. Our analysis revealed a robust correlation, but only after accounting for two key confounding factors inherent to the brain's complex dynamics: (1) strong adaptation effects across repeated stimulus exposures and (2) the mixture of aperiodic and band-specific dynamic activity signals. These results demonstrate a close association between the strength of Alpha oscillations-a primary brain rhythm implicated in various functions-and the magnitude of stimuli-evoked responses. Specifically, individuals with higher resting-state Alpha amplitudes exhibit stronger brain responses. This discovery not only highlights methodological challenges in relating spontaneous and evoked brain activity, but also demonstrates that they can be addressed. Our findings have significant implications for research aimed at understanding the mechanistic models and functional roles of the brain's dynamic system, shedding light on future investigations into the interplay between intrinsic and evoked neural dynamics.</p>","PeriodicalId":20913,"journal":{"name":"Psychophysiology","volume":"62 6","pages":"e70087"},"PeriodicalIF":2.8000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12134718/pdf/","citationCount":"0","resultStr":"{\"title\":\"Relationships Between Spontaneous Alpha Oscillation and Brain Response Amid the Complexity of Brain Adaptation and Spectral Signal Composition.\",\"authors\":\"Guang Ouyang\",\"doi\":\"10.1111/psyp.70087\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The brain operates as a complex dynamic system, continuously generating both structured spontaneous activity and stimulus-evoked responses. Because these activities originate from the same neural architecture, they are hypothesized to be interconnected. However, research has yet to establish a definitive relationship between spontaneous and response patterns, as findings have been mixed and inconclusive. We argue that this ambiguity stems from significant theoretical and methodological challenges in characterizing the relevant variables amidst the brain's complexity. In this study, we investigated the cross-individual correlation between spontaneous Alpha amplitude and the magnitude of brain responses to simple stimuli. Our analysis revealed a robust correlation, but only after accounting for two key confounding factors inherent to the brain's complex dynamics: (1) strong adaptation effects across repeated stimulus exposures and (2) the mixture of aperiodic and band-specific dynamic activity signals. These results demonstrate a close association between the strength of Alpha oscillations-a primary brain rhythm implicated in various functions-and the magnitude of stimuli-evoked responses. Specifically, individuals with higher resting-state Alpha amplitudes exhibit stronger brain responses. This discovery not only highlights methodological challenges in relating spontaneous and evoked brain activity, but also demonstrates that they can be addressed. Our findings have significant implications for research aimed at understanding the mechanistic models and functional roles of the brain's dynamic system, shedding light on future investigations into the interplay between intrinsic and evoked neural dynamics.</p>\",\"PeriodicalId\":20913,\"journal\":{\"name\":\"Psychophysiology\",\"volume\":\"62 6\",\"pages\":\"e70087\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12134718/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Psychophysiology\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1111/psyp.70087\",\"RegionNum\":2,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psychophysiology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1111/psyp.70087","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
Relationships Between Spontaneous Alpha Oscillation and Brain Response Amid the Complexity of Brain Adaptation and Spectral Signal Composition.
The brain operates as a complex dynamic system, continuously generating both structured spontaneous activity and stimulus-evoked responses. Because these activities originate from the same neural architecture, they are hypothesized to be interconnected. However, research has yet to establish a definitive relationship between spontaneous and response patterns, as findings have been mixed and inconclusive. We argue that this ambiguity stems from significant theoretical and methodological challenges in characterizing the relevant variables amidst the brain's complexity. In this study, we investigated the cross-individual correlation between spontaneous Alpha amplitude and the magnitude of brain responses to simple stimuli. Our analysis revealed a robust correlation, but only after accounting for two key confounding factors inherent to the brain's complex dynamics: (1) strong adaptation effects across repeated stimulus exposures and (2) the mixture of aperiodic and band-specific dynamic activity signals. These results demonstrate a close association between the strength of Alpha oscillations-a primary brain rhythm implicated in various functions-and the magnitude of stimuli-evoked responses. Specifically, individuals with higher resting-state Alpha amplitudes exhibit stronger brain responses. This discovery not only highlights methodological challenges in relating spontaneous and evoked brain activity, but also demonstrates that they can be addressed. Our findings have significant implications for research aimed at understanding the mechanistic models and functional roles of the brain's dynamic system, shedding light on future investigations into the interplay between intrinsic and evoked neural dynamics.
期刊介绍:
Founded in 1964, Psychophysiology is the most established journal in the world specifically dedicated to the dissemination of psychophysiological science. The journal continues to play a key role in advancing human neuroscience in its many forms and methodologies (including central and peripheral measures), covering research on the interrelationships between the physiological and psychological aspects of brain and behavior. Typically, studies published in Psychophysiology include psychological independent variables and noninvasive physiological dependent variables (hemodynamic, optical, and electromagnetic brain imaging and/or peripheral measures such as respiratory sinus arrhythmia, electromyography, pupillography, and many others). The majority of studies published in the journal involve human participants, but work using animal models of such phenomena is occasionally published. Psychophysiology welcomes submissions on new theoretical, empirical, and methodological advances in: cognitive, affective, clinical and social neuroscience, psychopathology and psychiatry, health science and behavioral medicine, and biomedical engineering. The journal publishes theoretical papers, evaluative reviews of literature, empirical papers, and methodological papers, with submissions welcome from scientists in any fields mentioned above.