Psychological review最新文献_第2页

The interpersonal neural coupling in group creative ideation. 小组创意构思中的人际神经耦合。

IF 5.1 1区心理学

Psychological review Pub Date : 2024-12-12 DOI: 10.1037/rev0000524

Kelong Lu, Ning Hao

{"title":"The interpersonal neural coupling in group creative ideation.","authors":"Kelong Lu, Ning Hao","doi":"10.1037/rev0000524","DOIUrl":"https://doi.org/10.1037/rev0000524","url":null,"abstract":"Group creative ideation, the capacity of group to produce novel and useful ideas, is essential for navigating challenges and embracing opportunities. Despite its significance, research to decode its neurocognitive underpinnings utilizing interpersonal neuroscience paradigm has just commenced, linking group creative ideation to interpersonal neural coupling. In this perspective, we propose an interpersonal neural coupling in group creative ideation framework, which suggests that group creative ideation is supported by interpersonal neural coupling within three interrelated systems: cognitive, affective, and physical alignments. The cognitive alignment system is considered as the core system that determines the outcome of group creative ideation. Variations in cognitive alignment spanning shared intention, joint attention, shared comprehension, and idea convergence interact with an individual decision making in selecting any of three creative ideation pathways, including flexibility, persistence, and convergence, which collectively determine the final creative performance. The interpersonal neural coupling in group creative ideation framework enhances our understanding of the neurocognitive underpinnings of group creative ideation and outlines promising avenues for future research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).","PeriodicalId":21016,"journal":{"name":"Psychological review","volume":" ","pages":""},"PeriodicalIF":5.1,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142818983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How does depressive cognition develop? A state-dependent network model of predictive processing. 抑郁认知是如何形成的？预测处理的状态依赖网络模型

IF 5.1 1区心理学

Psychological review Pub Date : 2024-11-14 DOI: 10.1037/rev0000512

Nathaniel Hutchinson-Wong, Paul Glue, Divya Adhia, Dirk de Ridder

{"title":"How does depressive cognition develop? A state-dependent network model of predictive processing.","authors":"Nathaniel Hutchinson-Wong, Paul Glue, Divya Adhia, Dirk de Ridder","doi":"10.1037/rev0000512","DOIUrl":"https://doi.org/10.1037/rev0000512","url":null,"abstract":"Depression is vastly heterogeneous in its symptoms, neuroimaging data, and treatment responses. As such, describing how it develops at the network level has been notoriously difficult. In an attempt to overcome this issue, a theoretical \"negative prediction mechanism\" is proposed. Here, eight key brain regions are connected in a transient, state-dependent, core network of pathological communication that could facilitate the development of depressive cognition. In the context of predictive processing, it is suggested that this mechanism is activated as a response to negative/adverse stimuli in the external and/or internal environment that exceed a vulnerable individual's capacity for cognitive appraisal. Specifically, repeated activation across this network is proposed to update individual's brain so that it increasingly predicts and reinforces negative experiences over time-pushing an individual at-risk for or suffering from depression deeper into mental illness. Within this, the negative prediction mechanism is poised to explain various aspects of prognostic outcome, describing how depression might ebb and flow over multiple timescales in a dynamically changing, complex environment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).","PeriodicalId":21016,"journal":{"name":"Psychological review","volume":" ","pages":""},"PeriodicalIF":5.1,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142627180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A theory of flexible multimodal synchrony. 灵活的多模式同步理论

IF 5.4 1区心理学

Psychological review Pub Date : 2024-10-24 DOI: 10.1037/rev0000495

Ilanit Gordon,Alon Tomashin,Oded Mayo

{"title":"A theory of flexible multimodal synchrony.","authors":"Ilanit Gordon,Alon Tomashin,Oded Mayo","doi":"10.1037/rev0000495","DOIUrl":"https://doi.org/10.1037/rev0000495","url":null,"abstract":"Dominant theoretical accounts of interpersonal synchrony, the temporal coordination of biobehavioral processes between several individuals, have employed a linear approach, generally considering synchrony as a positive state, and utilizing aggregate scores. However, synchrony is known to take on a dynamical form with continuous shifts in its timeline. Acting as one continuously, is not always the optimal state, due to an intrinsic tension between individualistic and synergistic forms of action that exist in many social situations. We propose an alternative theory of flexible multimodal synchrony which highlights context as a key component that defines \"pulls\" toward synchrony and \"pulls\" toward segregation inherent to the social situation. Traitlike individual differences and relationship variables then sensitize individuals to these contextual \"pulls.\" In this manner, context, individual differences, and relationship variables provide the backdrop to the emergence of flexible and dynamical synchrony patterns, which we consider adaptive, in several modalities-behavioral, physiological, and neural. We point to three consequences of synchrony patterns: social-, task, and self-oriented. We discuss multimodal associations that arise in different contexts considering the theory and delineate hypotheses that emanate from the theory. We then provide two empirical proofs-of-concept: First, we show how individual differences modulate the effect of context on synchrony's outcomes in a novel dyadic motor game. Second, we reanalyze previously reported data, to show how a \"flexibility\" approach to synchrony data analysis improves predictive ability when testing for synchrony's effects on social cohesion. We provide ways to standardize the characterization of context and guidelines for future synchrony research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).","PeriodicalId":21016,"journal":{"name":"Psychological review","volume":"26 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142490937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bouncing back from life's perturbations: Formalizing psychological resilience from a complex systems perspective. 从生活的干扰中反弹：从复杂系统的角度将心理复原力正规化。

IF 5.1 1区心理学

Psychological review Pub Date : 2024-10-21 DOI: 10.1037/rev0000497

Gabriela Lunansky, George A Bonanno, Tessa F Blanken, Claudia D van Borkulo, Angélique O J Cramer, Denny Borsboom

{"title":"Bouncing back from life's perturbations: Formalizing psychological resilience from a complex systems perspective.","authors":"Gabriela Lunansky, George A Bonanno, Tessa F Blanken, Claudia D van Borkulo, Angélique O J Cramer, Denny Borsboom","doi":"10.1037/rev0000497","DOIUrl":"https://doi.org/10.1037/rev0000497","url":null,"abstract":"Experiencing stressful or traumatic events can lead to a range of responses, from mild disruptions to severe and persistent mental health issues. Understanding the various trajectories of response to adversity is crucial for developing effective interventions and support systems. Researchers have identified four commonly observed response trajectories to adversity, from which the resilient is the most common one. Resilience refers to the maintenance of healthy psychological functioning despite facing adversity. However, it remains an open question how to understand and anticipate resilience, due to its dynamic and multifactorial nature. This article presents a novel formalized framework to conceptualize resilience from a complex systems perspective. We use the network theory of psychopathology, which states that mental disorders are self-sustaining endpoints of direct symptom-symptom interactions organized in a network system. The internal structure of the network determines the most likely trajectory of symptom development. We introduce the resilience quadrant, which organizes the state of symptom networks on two domains: (1) healthy versus dysfunctional and (2) stable versus unstable. The quadrant captures the four commonly observed response trajectories to adversity along those dimensions: resilient trajectories in the face of adversity, as well as persistent symptoms despite treatment interventions. Subsequently, an empirical illustration, by means of a proof-of-principle, shows how simulated observations from four different network architectures lead to the four commonly observed responses to adversity. As such, we present a novel outlook on resilience by combining existing statistical symptom network models with simulation techniques. (PsycInfo Database Record (c) 2024 APA, all rights reserved).","PeriodicalId":21016,"journal":{"name":"Psychological review","volume":" ","pages":""},"PeriodicalIF":5.1,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142473481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bouncing back from life's perturbations: Formalizing psychological resilience from a complex systems perspective. 从生活的干扰中反弹：从复杂系统的角度将心理复原力正规化。

IF 5.4 1区心理学

Psychological review Pub Date : 2024-10-21 DOI: 10.1037/rev0000497

Gabriela Lunansky,George A Bonanno,Tessa F Blanken,Claudia D van Borkulo,Angélique O J Cramer,Denny Borsboom

{"title":"Bouncing back from life's perturbations: Formalizing psychological resilience from a complex systems perspective.","authors":"Gabriela Lunansky,George A Bonanno,Tessa F Blanken,Claudia D van Borkulo,Angélique O J Cramer,Denny Borsboom","doi":"10.1037/rev0000497","DOIUrl":"https://doi.org/10.1037/rev0000497","url":null,"abstract":"Experiencing stressful or traumatic events can lead to a range of responses, from mild disruptions to severe and persistent mental health issues. Understanding the various trajectories of response to adversity is crucial for developing effective interventions and support systems. Researchers have identified four commonly observed response trajectories to adversity, from which the resilient is the most common one. Resilience refers to the maintenance of healthy psychological functioning despite facing adversity. However, it remains an open question how to understand and anticipate resilience, due to its dynamic and multifactorial nature. This article presents a novel formalized framework to conceptualize resilience from a complex systems perspective. We use the network theory of psychopathology, which states that mental disorders are self-sustaining endpoints of direct symptom-symptom interactions organized in a network system. The internal structure of the network determines the most likely trajectory of symptom development. We introduce the resilience quadrant, which organizes the state of symptom networks on two domains: (1) healthy versus dysfunctional and (2) stable versus unstable. The quadrant captures the four commonly observed response trajectories to adversity along those dimensions: resilient trajectories in the face of adversity, as well as persistent symptoms despite treatment interventions. Subsequently, an empirical illustration, by means of a proof-of-principle, shows how simulated observations from four different network architectures lead to the four commonly observed responses to adversity. As such, we present a novel outlook on resilience by combining existing statistical symptom network models with simulation techniques. (PsycInfo Database Record (c) 2024 APA, all rights reserved).","PeriodicalId":21016,"journal":{"name":"Psychological review","volume":"66 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142486347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The meaning of attention control. 注意力控制的意义

IF 5.1 1区心理学

Psychological review Pub Date : 2024-10-17 DOI: 10.1037/rev0000514

Klaus Oberauer

引用次数: 0

Prejudice model 1.0: A predictive model of prejudice. 偏见模型 1.0：偏见预测模型。

IF 5.1 1区心理学

Psychological review Pub Date : 2024-10-01 Epub Date: 2024-02-22 DOI: 10.1037/rev0000470

Eric Hehman, Rebecca Neel

{"title":"Prejudice model 1.0: A predictive model of prejudice.","authors":"Eric Hehman, Rebecca Neel","doi":"10.1037/rev0000470","DOIUrl":"10.1037/rev0000470","url":null,"abstract":"The present research develops a predictive model of prejudice. For nearly a century, psychology and other fields have sought to scientifically understand and describe the causes of prejudice. Numerous theories of prejudice now exist. Yet these theories are overwhelmingly defined verbally and thus lack the ability to precisely predict when and to what extent prejudice will emerge. The abundance of theory also raises the possibility of undetected overlap between constructs theorized to cause prejudice. Predictive models enable falsification and provide a way for the field to move forward. To this end, here we present 18 studies with ∼5,000 participants in seven phases of model development. After initially identifying major theorized causes of prejudice in the literature, we used a model selection approach to winnow constructs into a parsimonious predictive model of prejudice (Phases I and II). We confirm this model in a preregistered out-of-sample test (Phase III), test variations in operationalizations and boundary conditions (Phases IV and V), and test generalizability on a U.S. representative sample, an Indian sample, and a U.K. sample (Phase VI). Finally, we consulted the predictions of experts in the field to examine how well they align with our results (Phase VII). We believe this initial predictive model is limited and bad, but by developing a model that makes highly specific predictions, drawing on the state of the art, we hope to provide a foundation from which research can build to improve science of prejudice. (PsycInfo Database Record (c) 2024 APA, all rights reserved).","PeriodicalId":21016,"journal":{"name":"Psychological review","volume":" ","pages":"1235-1265"},"PeriodicalIF":5.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139932658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Counterfactuals and the logic of causal selection. 反事实和因果选择的逻辑。

IF 5.1 1区心理学

Psychological review Pub Date : 2024-10-01 Epub Date: 2023-06-08 DOI: 10.1037/rev0000428

Tadeg Quillien, Christopher G Lucas

引用次数: 0

Bayesian confidence in optimal decisions. 最佳决策的贝叶斯信心。

IF 5.1 1区心理学

Psychological review Pub Date : 2024-10-01 Epub Date: 2024-07-18 DOI: 10.1037/rev0000472

Joshua Calder-Travis, Lucie Charles, Rafal Bogacz, Nick Yeung

{"title":"Bayesian confidence in optimal decisions.","authors":"Joshua Calder-Travis, Lucie Charles, Rafal Bogacz, Nick Yeung","doi":"10.1037/rev0000472","DOIUrl":"10.1037/rev0000472","url":null,"abstract":"The optimal way to make decisions in many circumstances is to track the difference in evidence collected in favor of the options. The drift diffusion model (DDM) implements this approach and provides an excellent account of decisions and response times. However, existing DDM-based models of confidence exhibit certain deficits, and many theories of confidence have used alternative, nonoptimal models of decisions. Motivated by the historical success of the DDM, we ask whether simple extensions to this framework might allow it to better account for confidence. Motivated by the idea that the brain will not duplicate representations of evidence, in all model variants decisions and confidence are based on the same evidence accumulation process. We compare the models to benchmark results, and successfully apply four qualitative tests concerning the relationships between confidence, evidence, and time, in a new preregistered study. Using computationally cheap expressions to model confidence on a trial-by-trial basis, we find that a subset of model variants also provide a very good to excellent account of precise quantitative effects observed in confidence data. Specifically, our results favor the hypothesis that confidence reflects the strength of accumulated evidence penalized by the time taken to reach the decision (Bayesian readout), with the penalty applied not perfectly calibrated to the specific task context. These results suggest there is no need to abandon the DDM or single accumulator models to successfully account for confidence reports. (PsycInfo Database Record (c) 2024 APA, all rights reserved).","PeriodicalId":21016,"journal":{"name":"Psychological review","volume":" ","pages":"1114-1160"},"PeriodicalIF":5.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141634354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The relation between learning and stimulus-response binding. 学习与刺激-反应结合之间的关系。

IF 5.1 1区心理学

Psychological review Pub Date : 2024-10-01 Epub Date: 2023-12-14 DOI: 10.1037/rev0000449

Christian Frings, Anna Foerster, Birte Moeller, Bernhard Pastötter, Roland Pfister

引用次数: 0