Biological Psychiatry-Cognitive Neuroscience and Neuroimaging最新文献

{"title":"Diverging Effects of Violence Exposure and Psychiatric Symptoms on Amygdala-Prefrontal Maturation During Childhood and Adolescence","authors":"Taylor J. Keding ,&nbsp;Justin D. Russell ,&nbsp;Xiaojin Zhu ,&nbsp;Quanfa He ,&nbsp;James J. Li ,&nbsp;Ryan J. Herringa","doi":"10.1016/j.bpsc.2024.08.003","DOIUrl":"10.1016/j.bpsc.2024.08.003","url":null,"abstract":"<div><h3>Background</h3><div>Violence exposure during childhood and adolescence is associated with increased prevalence and severity of psychopathology. Neurobiological correlates suggest that abnormal maturation of emotion-related brain circuitry, such as the amygdala-prefrontal cortex (PFC) circuit, may underlie the development of psychiatric symptoms after exposure. However, it remains unclear how amygdala-PFC circuit maturation is related to psychiatric risk in the context of violence.</div></div><div><h3>Methods</h3><div>In this study, we analyzed individual differences in amygdala-PFC circuit maturity using data collected from the PNC (Philadelphia Neurodevelopmental Cohort) (<em>n</em> = 1133 youths). Neurodevelopment models of amygdala-PFC resting-state functional connectivity were built using deep learning and trained to predict chronological age in typically developing youths (not violence exposed and without a psychiatric diagnosis). Using the brain age gap estimate, an index of relative circuit maturation, patterns of atypical neurodevelopment were investigated.</div></div><div><h3>Results</h3><div>Violence exposure was associated with delayed maturation of basolateral amygdala (BLA)–PFC circuits, driven by increased BLA–medial orbitofrontal cortex functional connectivity. In contrast, increased psychiatric symptoms were associated with advanced maturation of BLA-PFC functional connectivity, driven by decreased BLA–dorsolateral PFC functional connectivity.</div></div><div><h3>Conclusions</h3><div>Delayed frontoamygdala maturation after exposure to violence suggests atypical, but adaptive, development of threat appraisal processes, potentially reflecting a greater threat generalization characteristic of younger children. Advanced circuit maturation with increasing symptoms suggests divergent neurodevelopmental mechanisms underlying illness after emotion circuits have adapted to adversity, exacerbated by preexisting vulnerabilities to early maturation. Disentangling the effects of adversity and psychopathology on neurodevelopment is crucial for helping youths recover from violence and preventing illness from continuing into adulthood.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 5","pages":"Pages 450-462"},"PeriodicalIF":5.7,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142057537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Manifold Learning Uncovers Nonlinear Interactions Between the Adolescent Brain and Environment That Predict Emotional and Behavioral Problems","authors":"Erica L. Busch ,&nbsp;May I. Conley ,&nbsp;Arielle Baskin-Sommers","doi":"10.1016/j.bpsc.2024.07.001","DOIUrl":"10.1016/j.bpsc.2024.07.001","url":null,"abstract":"<div><h3>Background</h3><div>To progress adolescent mental health research beyond our present achievements—a complex account of brain and environmental risk factors without understanding neurobiological embedding in the environment—we need methods to uncover relationships between the developing brain and real-world environmental experiences.</div></div><div><h3>Methods</h3><div>We investigated associations between brain function, environments, and emotional and behavioral problems using participants from the Adolescent Brain Cognitive Development (ABCD) Study (<em>n</em> = 2401 female). We applied manifold learning, a promising technique for uncovering latent structure from high-dimensional biomedical data such as functional magnetic resonance imaging. Specifically, we developed exogenous PHATE (potential of heat-diffusion for affinity-based trajectory embedding) (E-PHATE) to model brain-environment interactions. We used E-PHATE embeddings of participants’ brain activation during emotional and cognitive processing tasks to predict individual differences in cognition and emotional and behavioral problems both cross-sectionally and longitudinally.</div></div><div><h3>Results</h3><div>E-PHATE embeddings of participants’ brain activation and environments at baseline showed moderate-to-large associations with total, externalizing, and internalizing problems at baseline, across several subcortical regions and large-scale cortical networks, compared with the zero-to-small effects achieved by voxelwise data or common low-dimensional embedding methods. E-PHATE embeddings of the brain and environment at baseline were also related to emotional and behavioral problems 2 years later. These longitudinal predictions showed a consistent moderate effect in the frontoparietal and attention networks.</div></div><div><h3>Conclusions</h3><div>The embedding of the adolescent brain in the environment yields enriched insight into emotional and behavioral problems. Using E-PHATE, we demonstrated how the harmonization of cutting-edge computational methods with longstanding developmental theories advances the detection and prediction of adolescent emotional and behavioral problems.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 5","pages":"Pages 463-474"},"PeriodicalIF":5.7,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141621973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Guide for Authors","authors":"","doi":"10.1016/S2451-9022(25)00100-4","DOIUrl":"10.1016/S2451-9022(25)00100-4","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 5","pages":"Pages A5-A10"},"PeriodicalIF":5.7,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143906474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ENIGMA-Meditation: Worldwide Consortium for Neuroscientific Investigations of Meditation Practices","authors":"Saampras Ganesan ,&nbsp;Fernando A. Barrios ,&nbsp;Ishaan Batta ,&nbsp;Clemens C.C. Bauer ,&nbsp;Todd S. Braver ,&nbsp;Judson A. Brewer ,&nbsp;Kirk Warren Brown ,&nbsp;Rael Cahn ,&nbsp;Joshua A. Cain ,&nbsp;Vince D. Calhoun ,&nbsp;Lei Cao ,&nbsp;Gaël Chetelat ,&nbsp;Christopher R.K. Ching ,&nbsp;J. David Creswell ,&nbsp;Paulina Clara Dagnino ,&nbsp;Svend Davanger ,&nbsp;Richard J. Davidson ,&nbsp;Gustavo Deco ,&nbsp;Janine M. Dutcher ,&nbsp;Anira Escrichs ,&nbsp;Anthony P. King","doi":"10.1016/j.bpsc.2024.10.015","DOIUrl":"10.1016/j.bpsc.2024.10.015","url":null,"abstract":"<div><div>Meditation is a family of ancient and contemporary contemplative mind-body practices that can modulate psychological processes, awareness, and mental states. Over the last 40 years, clinical science has manualized meditation practices and designed various meditation interventions that have shown therapeutic efficacy for disorders including depression, pain, addiction, and anxiety. Over the past decade, neuroimaging has been used to examine the neuroscientific basis of meditation practices, effects, states, and outcomes for clinical and nonclinical populations. However, the generalizability and replicability of current neuroscientific models of meditation have not yet been established, because they are largely based on small datasets entrenched with heterogeneity along several domains of meditation (e.g., practice types, meditation experience, clinical disorder targeted), experimental design, and neuroimaging methods (e.g., preprocessing, analysis, task-based, resting-state, structural magnetic resonance imaging). These limitations have precluded a nuanced and rigorous neuroscientific phenotyping of meditation practices and their potential benefits. Here, we present ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis)–Meditation, the first worldwide collaborative consortium for neuroscientific investigations of meditation practices. ENIGMA-Meditation will enable systematic meta- and mega-analyses of globally distributed neuroimaging datasets of meditation using shared, standardized neuroimaging methods and tools to improve statistical power and generalizability. Through this powerful collaborative framework, existing neuroscientific accounts of meditation practices can be extended to generate novel and rigorous neuroscientific insights that account for multidomain heterogeneity. ENIGMA-Meditation will inform neuroscientific mechanisms that underlie therapeutic action of meditation practices on psychological and cognitive attributes, thereby advancing the field of meditation and contemplative neuroscience.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 4","pages":"Pages 425-436"},"PeriodicalIF":5.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142634416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mindfulness as a Way of Reducing Automatic Constraints on Thought","authors":"Kalina Christoff Hadjiilieva","doi":"10.1016/j.bpsc.2024.11.001","DOIUrl":"10.1016/j.bpsc.2024.11.001","url":null,"abstract":"<div><div>The number of mindfulness-based wellness promotion programs offered by institutions, by governments, and through mobile apps has grown exponentially in the last decade. However, the scientific understanding of what mindfulness is and how it works is still evolving. Here, I focus on 2 common mindfulness practices: focused attention (FA) and open monitoring (OM). First, I summarize what is known about FA and OM meditation at the psychological level. While they share similar emotion regulation goals, they differ in terms of some of their attention regulation goals. Second, I turn to the neuroscientific literature, showing that FA meditation is associated with consistent activations of cortical control network regions and deactivations of cortical default network regions. In contrast, OM meditation seems to be most consistently associated with changes in the functional connectivity patterns of subcortical structures, including the basal ganglia and cerebellum. Finally, I present a novel account of the mental changes that occur during FA and OM meditation as understood from within the Dynamic Framework of Thought—a conceptual framework that distinguishes between deliberate and automatic constraints on thought. Although deliberate self-regulation processes are often emphasized in scientific and public discourse on mindfulness, here I argue that mindfulness may primarily involve changes in automatic constraints on thought. In particular, I argue that mindfulness reduces the occurrence of automatized sequences of mental states or habits of thought. In this way, mindfulness may increase the spontaneity of thought and reduce automatically constrained forms of thought such as rumination and obsessive thought.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 4","pages":"Pages 393-401"},"PeriodicalIF":5.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142634420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Default Mode Network Functional Connectivity As a Transdiagnostic Biomarker of Cognitive Function","authors":"Vaibhav Tripathi ,&nbsp;Ishaan Batta ,&nbsp;Andre Zamani ,&nbsp;Daniel A. Atad ,&nbsp;Sneha K.S. Sheth ,&nbsp;Jiahe Zhang ,&nbsp;Tor D. Wager ,&nbsp;Susan Whitfield-Gabrieli ,&nbsp;Lucina Q. Uddin ,&nbsp;Ruchika S. Prakash ,&nbsp;Clemens C.C. Bauer","doi":"10.1016/j.bpsc.2024.12.016","DOIUrl":"10.1016/j.bpsc.2024.12.016","url":null,"abstract":"<div><div>The default mode network (DMN) is intricately linked with processes such as self-referential thinking, episodic memory recall, goal-directed cognition, self-projection, and theory of mind. In recent years, there has been a surge in the number of studies examining its functional connectivity, particularly its relationship with frontoparietal networks involved in top-down attention, executive function, and cognitive control. The fluidity in switching between these internal and external modes of processing, which is highlighted by anticorrelated functional connectivity, has been proposed as an indicator of cognitive health. Due to the ease of estimation of functional connectivity–based measures through resting-state functional magnetic resonance imaging paradigms, there is now a wealth of large-scale datasets, paving the way for standardized connectivity benchmarks. In this review, we explore the promising role of DMN connectivity metrics as potential biomarkers of cognitive state across attention, internal mentation, mind wandering, and meditation states and investigate deviations in trait-level measures across aging and in clinical conditions such as Alzheimer’s disease, Parkinson’s disease, depression, attention-deficit/hyperactivity disorder, and others. We also tackle the issue of reliability of network estimation and functional connectivity and share recommendations for using functional connectivity measures as a biomarker of cognitive health.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 4","pages":"Pages 359-368"},"PeriodicalIF":5.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142973836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Subscribers' Page","authors":"","doi":"10.1016/S2451-9022(25)00076-X","DOIUrl":"10.1016/S2451-9022(25)00076-X","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 4","pages":"Page A2"},"PeriodicalIF":5.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143767927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using Electroencephalography to Advance Mindfulness Science: A Survey of Emerging Methods and Approaches","authors":"Yanli Lin ,&nbsp;Daniel A. Atad ,&nbsp;Anthony P. Zanesco","doi":"10.1016/j.bpsc.2024.09.012","DOIUrl":"10.1016/j.bpsc.2024.09.012","url":null,"abstract":"<div><div>Throughout the brief history of contemplative neuroscience, electroencephalography (EEG) has been a valuable and enduring methodology used to elucidate the neural correlates and mechanisms of mindfulness. In this review, we provide a reminder that longevity should not be conflated with obsoletion and that EEG continues to offer exceptional promise for addressing key questions and challenges that pervade the field today. Toward this end, we first outline the unique advantages of EEG from a research strategy and experimental design perspective, then highlight an array of new sophisticated data analytic approaches and translational paradigms. Along the way, we provide illustrative examples from our own work and the broader literature to showcase how these innovations can be leveraged to spark new insights and stimulate progress across both basic science and translational applications of mindfulness. Ultimately, we argue that EEG still has much to contribute to contemplative neuroscience, and we hope to solicit the interest of other investigators to make full use of its capabilities in service of maximizing its potential within the field.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 4","pages":"Pages 342-349"},"PeriodicalIF":5.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142382738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decoding Mindfulness With Multivariate Predictive Models","authors":"Jarrod A. Lewis-Peacock ,&nbsp;Tor D. Wager ,&nbsp;Todd S. Braver","doi":"10.1016/j.bpsc.2024.10.018","DOIUrl":"10.1016/j.bpsc.2024.10.018","url":null,"abstract":"<div><div>Identifying the brain mechanisms that underlie the salutary effects of mindfulness meditation and related practices is a critical goal of contemplative neuroscience. Here, we suggest that the use of multivariate predictive models represents a promising and powerful methodology that could be better leveraged to pursue this goal. This approach incorporates key principles of multivariate decoding, predictive classification, and model-based analyses, all of which represent a strong departure from conventional brain mapping approaches. We highlight 2 such research strategies—state induction and neuromarker identification—and provide illustrative examples of how these approaches have been used to examine central questions in mindfulness, such as the distinction between internally directed focused attention and mind wandering and the effects of mindfulness interventions on somatic pain and drug-related cravings. We conclude by discussing important issues to be addressed with future research, including key tradeoffs between using a personalized versus population-based approach to predictive modeling.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 4","pages":"Pages 369-376"},"PeriodicalIF":5.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142634316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing Equanimity With Noninvasive Brain Stimulation: A Novel Framework for Mindfulness Interventions","authors":"Brian Lord ,&nbsp;John J.B. Allen ,&nbsp;Shinzen Young ,&nbsp;Joseph L. Sanguinetti","doi":"10.1016/j.bpsc.2024.12.005","DOIUrl":"10.1016/j.bpsc.2024.12.005","url":null,"abstract":"<div><div>Mindfulness has gained widespread recognition for its benefits for mental health, cognitive performance, and well-being. However, the multifaceted nature of mindfulness, which encompasses elements such as attentional focus, emotional regulation, and present-moment awareness, complicates its definition and measurement. A key component that may underlie its broad benefits is equanimity—the ability to maintain an open and nonreactive attitude toward all sensory experiences. Empirical research suggests that mindfulness works through a combination of top-down attentional control and bottom-up sensory and emotional processes and that equanimity’s role in regulating those bottom-up processes drives the psychological and physiological benefits, making it a promising target for both theoretical and practical exploration. Given these findings, the development of interventions that specifically augment equanimity could improve the impact of mindfulness practices. Research into noninvasive brain stimulation (NIBS) suggests that it is a potential tool for altering neural circuits involved in mindfulness. However, most NIBS studies reported to date have focused on improving cognitive control systems and have left equanimity relatively unexplored. Preliminary findings from focused ultrasound interventions targeting the posterior cingulate cortex suggest that NIBS can directly facilitate equanimity by inhibiting self-referential processing in the default mode network to promote a more present-centered state of awareness. Future research should prioritize the integration of NIBS with well-defined mindfulness training protocols, focusing on equanimity as a core target. This approach could provide a novel framework for advancing both contemplative neuroscience and clinical applications, offering new insights into the mechanisms of mindfulness and refining NIBS methodologies to support individualized, precision wellness interventions.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 4","pages":"Pages 384-392"},"PeriodicalIF":5.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142873766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}