Developmental Cognitive Neuroscience最新文献

{"title":"Cognition is associated with task-related brain network reconfiguration in late childhood","authors":"Mackenzie E. Mitchell ,&nbsp;Ashley J. Jaimes ,&nbsp;Tehila Nugiel","doi":"10.1016/j.dcn.2025.101589","DOIUrl":"10.1016/j.dcn.2025.101589","url":null,"abstract":"<div><div>In order to transition between a resting state and carrying out cognitively-demanding processes the brain makes a host of subtle changes to its network organization. In adults, less reconfiguration relates to better task performance, suggesting a preconfigured brain organization at rest is beneficial, such that only minute changes are required to execute task demands. Here, we take a developmental lens to this phenomenon, examining reconfiguration in late childhood by leveraging a large sample of 9–11 year olds from the Adolescent Brain and Cognitive Development Study. We find more reconfiguration between the resting state and two executive function tasks is related to better task performance. These relationships hold even when accounting for network segregation, though segregation was negatively related to reconfiguration. Reconfiguration was also related to crystallized intelligence, with diverging effects across tasks. Overall, these findings demonstrate that in contrast to adulthood during late childhood, before functional brain networks are fully mature, greater reconfiguration promotes successful task performance.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"75 ","pages":"Article 101589"},"PeriodicalIF":4.6,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144596459","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":"Large-scale examination of hot and cool executive function in children born preterm","authors":"Iris Menu ,&nbsp;Mark Duffy ,&nbsp;Tanya Bhatia ,&nbsp;Sofia Trapaga ,&nbsp;Jenna John ,&nbsp;Selma Music ,&nbsp;Daelah Nicholas ,&nbsp;Seyeon Yim ,&nbsp;Moriah E. Thomason","doi":"10.1016/j.dcn.2025.101593","DOIUrl":"10.1016/j.dcn.2025.101593","url":null,"abstract":"<div><div>Preterm birth can significantly impact cognitive development, particularly executive functions (EF). This study investigated hot (with emotional/motivational aspects) and cool (purely neutral/cognitive) EF trajectories in preterm and full-term children, examining brain-behavior relationships. It included 3508 participants aged 9–10 years (mean age 10.0 years) at baseline from the Adolescent Brain and Cognitive Development (ABCD®) study, evenly split between preterm and full-term births (54.36 % males; 1.05 % Asian American, 10.69 % Black, 15.68 % Hispanic, 61.57 % White, 11.09 % other). Participants were followed for 4 years, completing MRI scans and a cool EF task at baseline and at the 2-year follow-up, as well as hot/cool and hot EF tasks at the 1- and 3-year follow-ups. Linear mixed models showed varying effects of preterm birth across the different EF tasks. Specifically, preterm children showed persistent cool EF deficits and a catch-up pattern for hot EF, while performance on the hot/cool task showed no association with preterm birth. Brain-behavior bivariate latent change score analyses identified distinct bidirectional relationships in specific regions, suggesting altered cognitive-brain maturation interactions in preterm children. These findings highlight the complex nature of EF development following preterm birth: while cool EF deficits persist, hot EF shows catch-up growth in preterm children during early adolescence. This emphasizes the need for tailored interventions and long-term follow-up in this population.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"75 ","pages":"Article 101593"},"PeriodicalIF":4.6,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144569912","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":"Differential microstructural development within sensorimotor cortical regions: A diffusion MRI study in preterm and full-term infants","authors":"Alexandra Brandstaetter ,&nbsp;Andrea Gondová ,&nbsp;Laurie Devisscher ,&nbsp;Denis Rivière ,&nbsp;Guillaume Auzias ,&nbsp;Yann Leprince ,&nbsp;Jessica Dubois","doi":"10.1016/j.dcn.2025.101610","DOIUrl":"10.1016/j.dcn.2025.101610","url":null,"abstract":"<div><div>The sensorimotor system develops early in utero and supports the emergence of body representations critical for perception, action, and interaction with environment. While somatotopic protomaps are already developed in the primary somatosensory and motor cortices in late pregnancy, little is known about the anatomical substrates of this functional specialization. In this study, we aimed to decipher the microstructural properties of these regions in the developing brain. Using advanced diffusion MRI and post-processing tools, we parcellated the pre- and post-central gyri into microstructurally distinct clusters along the lateral-to-medial axis in 25 full-term neonates, confirming the early differentiation within sensorimotor regions. These clusters were further analyzed in 59 preterm infants scanned at term-equivalent age (TEA, PT_TEA), of which 45 were also scanned near birth (PT_Birth), and compared with another group of 59 full-term neonates. Applying a multivariate Mahalanobis distance approach, we quantified deviations in preterm cortical microstructure relative to the full-term reference. Preterm infants showed significant region- and position-specific deviations at both ages, though these were smaller at TEA (repeated-measures ANCOVA: PT_Birth: region effect F=25.48, position effect F=16.06; PT_TEA: region effect F=14.87, all p &lt; 0.001), consistently with ongoing maturation during the pre-term period. Differences between the pre- and post-central gyri, and along the somatotopic axis, suggested differential vulnerability to prematurity. In particular, compared with somatosensory regions, the motor regions appeared to be at a more advanced stage of maturation close to birth (paired t-test, T = -4.388, p &lt; 0.001) and less vulnerable at TEA (paired t-test, T = -4.169, p &lt; 0.001), suggesting lesser impact of prematurity. An opposite pattern was observed, particularly close to birth, for lateral positions related to mouth representation compared with intermediary (paired t-test: T = 5.933, p &lt; 0.001) and medial (paired t-test: T = 4.712, p &lt; 0.001) positions. These findings support the notion that early sensorimotor cortical specialization is microstructurally emergent during gestation and sensitive to atypical developmental context of preterm birth.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"75 ","pages":"Article 101610"},"PeriodicalIF":4.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144988704","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":"Mapping early corpus callosum development to identify neurodevelopmental risk","authors":"Boyang Mao ,&nbsp;Hongxi Zhang ,&nbsp;Haitao Wang ,&nbsp;Zhi Yang","doi":"10.1016/j.dcn.2025.101605","DOIUrl":"10.1016/j.dcn.2025.101605","url":null,"abstract":"<div><div>This study investigated early childhood corpus callosum development, a critical process for cognitive maturation and implicated in Autism Spectrum Disorder (ASD), using sex-specific growth curve models. Structural MRI data from 295 typically developing children (TDC; aged 1–6 years) were used to model age- and sex-dependent changes in ten morphometric parameters, including subregion volumes and midsagittal plane features. Analyses revealed nonlinear developmental trajectories, region-specific growth rates, and earlier developmental peaks in females. We applied these normative models to an independent dataset of 41 TDC and 26 children with ASD, acquired on a different scanner. Classifiers trained on deviations from the growth curves accurately distinguished children with ASD from TDC (mean Area Under the Receiver Operating Characteristic Curve [AUC] = 0.95), demonstrating model generalizability. These findings establish sex-specific corpus callosum growth curve models as a quantitative, generalizable tool for characterizing typical development and detecting atypical morphometry, offering a promising approach for early, objective ASD diagnosis and potentially facilitating timely intervention. Further study of model generalizability across more diverse populations is warranted.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"75 ","pages":"Article 101605"},"PeriodicalIF":4.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144880281","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":"Corrigendum to “Disentangling the role of different resting-state neural markers of adolescent behavioral inhibition and social anxiety” [Dev. Cogn. Neurosci. 73 (2025) 101560]","authors":"Madison Politte-Corn,&nbsp;Sarah Myruski,&nbsp;Bridget Cahill,&nbsp;Koraly Pérez-Edgar,&nbsp;Kristin A. Buss","doi":"10.1016/j.dcn.2025.101612","DOIUrl":"10.1016/j.dcn.2025.101612","url":null,"abstract":"","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"75 ","pages":"Article 101612"},"PeriodicalIF":4.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145055389","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":"Introduction to the special issue from Flux Congress 2023","authors":"Jessica A. Church,&nbsp;Juliet Y. Davidow,&nbsp;Deanna J. Greene,&nbsp;Tracy Riggins","doi":"10.1016/j.dcn.2025.101615","DOIUrl":"10.1016/j.dcn.2025.101615","url":null,"abstract":"","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"75 ","pages":"Article 101615"},"PeriodicalIF":4.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145151438","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":"Neighborhood conditions and neurodevelopment: A systematic review of brain structure in children and adolescents.","authors":"Lydia Lewis, Bria Gresham, Amy Riegelman, Ka I Ip","doi":"10.1016/j.dcn.2025.101600","DOIUrl":"10.1016/j.dcn.2025.101600","url":null,"abstract":"<p><p>The neighborhood context is increasingly recognized as a significant determinant of health. Advances in geospatial analysis and neuroimaging have facilitated an emerging field of research investigating how neighborhood conditions influence brain development. We conducted a systematic review, identifying 37 studies that examined associations between neighborhood conditions and brain structure in children and adolescents. We highlight key findings and research gaps across multiple domains of neighborhood conditions - socioeconomic status, demographic composition, social environment, built environment, physical environment, and health resources. Our review suggests that adverse neighborhood socioeconomic conditions are linked to structural brain differences, including reduced brain volume and white matter, and smaller surface areas. Additionally, observed race-related disparities in brain structures may be partially explained by residence in low-resourced neighborhoods, underscoring the role of structural inequities in shaping neurodevelopment. The majority of studies relied on the Adolescent Brain Cognitive Development Study dataset, limiting the generalizability of findings. Critically, neighborhood conditions beyond socioeconomic status remain understudied, offering opportunities for future research to examine how positive conditions (e.g., social cohesion, greenspace, health resources) may foster neurodevelopment. This review emphasizes the urgent need for policies to reduce structural inequities while leveraging protective neighborhood conditions to promote equity and youth neurodevelopment.</p>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"75 ","pages":"101600"},"PeriodicalIF":4.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12355507/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144805151","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":"Integrating multilevel, multidomain and multimodal neuroimaging factors to predict early alcohol exposure trajectories using explainable AI","authors":"Ana Ferariu ,&nbsp;Hansoo Chang ,&nbsp;Ashni Kumar ,&nbsp;Alexandra Sahl ,&nbsp;Stephanie Gorka ,&nbsp;Lei Wang ,&nbsp;Wesley K. Thompson ,&nbsp;Fengqing Zhang","doi":"10.1016/j.dcn.2025.101597","DOIUrl":"10.1016/j.dcn.2025.101597","url":null,"abstract":"<div><div>Various multilevel, multidomain factors at the individual-, family-, and environmental-level, and changes in neurobiology have been associated with the likelihood of developing alcohol use disorder (AUD) or binge drinking later in life. Prior studies have examined only limited subsets of these factors, typically focusing on cross-sectional associations with alcohol initiation, binge drinking, or AUD rather than exploring longitudinal alcohol use trajectories. Our study addresses these gaps by applying machine learning methods to a comprehensive set of multilevel, multidomain factors and multimodal brain imaging features (including brain structure and functional connectivity) to prospectively predict early alcohol sipping trajectories. Using data from the Adolescent Brain Cognitive Development Study, we identified functional connectivity features and multilevel factors that distinguish youth with an increasing alcohol sipping trajectory from those who initially experimented with alcohol but reduced their consumption over time. Moreover, structural and functional features predicted differences between youth who increasingly sipped over time and those who did not engage in alcohol experimentation. Interactions between age, socioeconomical status and positive attitudes towards drinking could predict a pattern of increasing alcohol sipping over time. These trends could inform how individual, family, environmental and neurobiological factors impact the development of different alcohol sipping trajectories over time.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"75 ","pages":"Article 101597"},"PeriodicalIF":4.6,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663626","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":"Safety learning during adolescence facilitates fear regulation in adult mice","authors":"Heidi C. Meyer","doi":"10.1016/j.dcn.2025.101606","DOIUrl":"10.1016/j.dcn.2025.101606","url":null,"abstract":"<div><div>Experiences during sensitive early life developmental periods such as adolescence have a profound influence on brain maturation and long-term affective behavior. While substantial work focuses on early life adversity, emerging evidence suggests that positive affective experiences can also shape trajectories of neurobehavioral development. This study examined how experience with fear conditioning or discriminative conditioning (i.e., safety learning) during either adolescence or adulthood in male and female mice influenced fear behavior and engagement with an anxiogenic environment one month later, when adolescents had aged to adulthood. Prior conditioning (both fear and safety training) at either age, regardless of valence, promoted later fear generalization to a novel cue. In contrast, safety learning during adolescence conferred enduring benefits, leading to reduced fear expression and enhanced extinction memory in adulthood, whereas similar training in adulthood offered limited protective effects. Behavior in the elevated plus maze revealed increased movement in all previously conditioned animals (both Fear-trained and Safety-trained groups), with safety learning decreasing initial freezing in the maze and accelerating initial re-location from the placement arm. Sex differences in this study were modest, showing limited interaction with age and minimal impact on training-related outcomes across experimental phases, suggesting that the effects of conditioning on later affective regulation are robust and broadly conserved across sexes. Overall, these findings highlight adolescence as a sensitive period during which safety learning can shape affective regulation and potentially buffer against later life pathological fear responding. This work offers insight into developmental mechanisms that may inform early interventions for psychiatric conditions like anxiety.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"75 ","pages":"Article 101606"},"PeriodicalIF":4.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892068","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":"Sex-specific relationships between gray matter volume and executive function in young children with and without prenatal alcohol exposure","authors":"Madison Long ,&nbsp;Preeti Kar ,&nbsp;Nils D. Forkert ,&nbsp;Bennett A. Landman ,&nbsp;Gerald F. Giesbrecht ,&nbsp;Deborah Dewey ,&nbsp;W. Ben Gibbard ,&nbsp;Christina Tortorelli ,&nbsp;Carly A. McMorris ,&nbsp;Yuankai Huo ,&nbsp;Catherine Lebel","doi":"10.1016/j.dcn.2025.101608","DOIUrl":"10.1016/j.dcn.2025.101608","url":null,"abstract":"<div><div>Sex differences in brain volume are well established across ages however, limited research has investigated if sex differences in brain structure associate with early cognitive outcomes. Moreover, associations among sex, brain structure, and cognition in individuals with prenatal alcohol exposure (PAE), the most common known cause of developmental delay in North America, are unclear. Here, we investigated associations between executive function (measured by the BRIEF or BRIEF-P Global Executive Composite (GEC) and the Statue subtest of the NEPSY-II) and volumes of 36 gray matter regions in a longitudinal MRI sample of 169 young children (N_PAE=37; 534 total scans) aged 2–8 years. We found significant three-way interactions between sex, alcohol exposure, and executive function in 22 regions for GEC and 6 regions for Statue. Unexposed males showed negative executive function-volume associations, whereas males with PAE showed opposite associations. Unexposed females showed strong positive executive function-volume associations whereas females with PAE showed weak positive associations. We also evaluated reduced models in regions without significant 3-way interactions and found significant two-way interactions of sex and executive function for the GEC in three regions, and for the Statue in 22 regions. Males showed a negative executive function-volume relationship whereas females showed a positive relationship, regardless of exposure status. Our results suggest that males with PAE and unexposed females show relatively more mature volume-executive function relationships than females with PAE and unexposed males. This study highlights the importance of considering sex in investigations of brain and cognition, especially in populations with PAE.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"75 ","pages":"Article 101608"},"PeriodicalIF":4.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144988705","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}