Madelyn G. Nance , Winnie R. Chang , Chad Aldridge , Jennifer Burnsed , Kevin Pelphrey , Santina Zanelli , Meghan H. Puglia
{"title":"From Breath to Brain: NICU respiratory interventions and bedside brain signal entropy predict later autism risk","authors":"Madelyn G. Nance , Winnie R. Chang , Chad Aldridge , Jennifer Burnsed , Kevin Pelphrey , Santina Zanelli , Meghan H. Puglia","doi":"10.1016/j.dcn.2026.101679","DOIUrl":"10.1016/j.dcn.2026.101679","url":null,"abstract":"<div><div>Premature infants often experience hypoxia and require prolonged ventilation, which can trigger systemic inflammation, damage the developing brain, and increase the risk of neurodevelopmental disorders such as Autism Spectrum Disorder (ASD). Early intervention is key for ensuring optimal outcomes for those with ASD; thus emphasizing the critical importance of accurately identifying infants at risk as early as possible. Here, infants underwent electroencephalography during social (held) and nonsocial (not held) resting state conditions to assess brain signal variability, saliva collection to determine inflammation, calculation of a novel Prognostic Respiratory Intensity Scoring Metric (PRISM) to assess the burden of respiratory support, and ASD testing in toddlerhood. Higher PRISM scores were associated with increased brain signal entropy during the nonsocial resting state. However, this association was not observed in the social resting state condition – particularly for male babies. Interestingly in female infants, we saw that the relationship between brain signal entropy and PRISM scores were potentially mediated by cytokines. Notably, the interaction between nonsocial resting state brain signal entropy, sex, and PRISM scores predicted risk of developing ASD with 88 % accuracy. These non-invasive measures can identify infants at the highest risk for an ASD diagnosis before discharge.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"78 ","pages":"Article 101679"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038620","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}
Stine Kleppe Krogsrud , Hedvig Nordeng , James M. Roe , Janne von Koss Torkildsen , Mollie E. Wood , Eivind Ystrom
{"title":"Associations between prenatal paracetamol exposure and brain development from ages 4–16: A longitudinal MRI study","authors":"Stine Kleppe Krogsrud , Hedvig Nordeng , James M. Roe , Janne von Koss Torkildsen , Mollie E. Wood , Eivind Ystrom","doi":"10.1016/j.dcn.2025.101667","DOIUrl":"10.1016/j.dcn.2025.101667","url":null,"abstract":"<div><div>Research has raised concerns regarding the potential impact of prenatal paracetamol exposure on fetal neurodevelopment. This is the first longitudinal study to investigate whether such exposure is related to structural brain development and cognitive abilities during childhood and adolescence. The sample includes 447 children aged 4.1–16.2 years with 905 MRI scans. The study is based on The Norwegian Mother, Father and Child Study (MoBa), and uses data from the Medical Birth Registry of Norway. The exposure variable is mothers’ self-reported use of paracetamol from prenatal and postnatal questionnaires. Among 447 children (229 girls; mean age 8.38 years), 193 (43.2 %) were prenatally exposed. Days of exposure range from 1 to 128 (mean 8.2). Vertex-wise linear mixed effect models showed that exposed children (n = 193; 393 scans) had slightly smaller cortical surface area and volume in some regions compared to non-exposed children. These results were seemingly driven by long-term exposed children (≥14 days <em>in utero</em>; n = 35; 72 scans, and exposed in all three trimesters, n = 21; 44 scans). However, group differences in brain structure were small with largely overlapping distributions, and the observational design and risk of unmeasured confounding preclude causal inference. Thus, the clinical significance remains uncertain. For cognitive abilities, results were reassuring showing no significant effect of prenatal paracetamol exposure on working memory capacity or IQ scores.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"78 ","pages":"Article 101667"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145898073","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}
Michelle Shaul , Sarah Whittle , Niousha Dehestani , Timothy J. Silk , Nandita Vijayakumar
{"title":"Dimensional adversity, brain-age, & mental health: Differences in male and female adolescents","authors":"Michelle Shaul , Sarah Whittle , Niousha Dehestani , Timothy J. Silk , Nandita Vijayakumar","doi":"10.1016/j.dcn.2026.101671","DOIUrl":"10.1016/j.dcn.2026.101671","url":null,"abstract":"<div><div>Early life adversity (ELA) has been linked to shifts in developmental pace. This study examined whether brain maturity during early adolescence was influenced by ELA, and whether it explained the relationship between ELA and mental health problems. A sample (<em>n</em> = 7658, 46 % female) from the Adolescent Brain and Cognitive Development (ABCD) Study was utilized, with data collected at three time points spanning 9–14 years of age. Exposure to threat, psychosocial deprivation, household instability, and socioeconomic stress were measured at baseline. A predictive model of normative brain development (brain age) trained on a large independent lifespan sample was applied to structural neuroimaging data from the second timepoint. Brain-age-gap (BAG) – the difference between model predicted brain age and chronological age – was tested as a mediator of adversity exposure and internalizing/externalizing problems at the third timepoint. A more positive BAG was associated with more externalizing problems, but hypothesized associations between adversity and BAG were not significant. Sex moderation of these pathways suggests adversity may differentially affect the pace of brain development for males and females, which uniquely explains vulnerability to externalizing problems. The findings highlight the importance of examining sex-specific effects of adversity on adolescent development and mental health.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"78 ","pages":"Article 101671"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146012475","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}
Galit Karpov , Sara A. Heyn , Justin D. Russell , Taylor J. Keding , Ryan J. Herringa
{"title":"Neurodevelopmental correlates of emotion regulation in adolescence: An accelerated longitudinal study","authors":"Galit Karpov , Sara A. Heyn , Justin D. Russell , Taylor J. Keding , Ryan J. Herringa","doi":"10.1016/j.dcn.2025.101664","DOIUrl":"10.1016/j.dcn.2025.101664","url":null,"abstract":"<div><h3>Background</h3><div>Adolescence is a period that coincides with a peak in both the onset of psychopathology and a sensitive period for neural development. One transdiagnostic characteristic of psychopathology is impaired emotion regulation (ER), a process with both implicit (automatic) and explicit (voluntary) underpinnings. The current study aims to better understand the normative neurodevelopment of these two components of ER in adolescents.</div></div><div><h3>Methods</h3><div>139 youth (aged 10–20 years) completed ER assessment during fMRI at baseline and one-year follow-up. Implicit and explicit ER were examined using an emotional N-Back and a cognitive reappraisal task, respectively. Linear-mixed effects modeling was used to identify regions of the frontal cortex (Schaefer atlas) and the amygdala and hippocampus (Tian atlas) whose activity was predicted by ER- and age-related variables, covaried for sex, childhood adversity, and psychopathology symptoms.</div></div><div><h3>Results</h3><div>Regions that displayed change across age were localized to the salience/ventral attention network in the right hemisphere. For implicit ER, mid-insula activity showed changes during early adolescence (∼10 years old), such that activity to negative stimuli increased during this time before plateauing. For explicit ER, the posterior insula, Rolandic Operculum, and paracentral lobule showed linear decreases in activity across the entire age range, where the decrease occurred at a faster rate in response to neutral relative to negative stimuli.</div></div><div><h3>Conclusions</h3><div>Functional changes in frontal circuits related to emotional attention may encode the development of ER during neurodevelopment. Maturation of these circuits seem to reach completion by mid-adolescence for implicit ER, but explicit ER continues developing across adolescence.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"78 ","pages":"Article 101664"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145898053","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}
Sonya V. Troller-Renfree , Molly A. Costanzo , Greg J. Duncan , Katherine Magnuson , Lisa A. Gennetian , Hirokazu Yoshikawa , Sarah R. Black , Debra S. Karhson , Michael K. Georgieff , Jennifer Mize Nelson , Timothy D. Nelson , Nathan A. Fox , Kimberly G. Noble
{"title":"The impact of a monthly unconditional cash transfer on child brain activity: A 4-year follow-up","authors":"Sonya V. Troller-Renfree , Molly A. Costanzo , Greg J. Duncan , Katherine Magnuson , Lisa A. Gennetian , Hirokazu Yoshikawa , Sarah R. Black , Debra S. Karhson , Michael K. Georgieff , Jennifer Mize Nelson , Timothy D. Nelson , Nathan A. Fox , Kimberly G. Noble","doi":"10.1016/j.dcn.2026.101673","DOIUrl":"10.1016/j.dcn.2026.101673","url":null,"abstract":"<div><div>Early childhood poverty is associated with neurodevelopmental differences, but causal evidence linking income to brain development is sparse. In the present study, we examine whether four years of monthly unconditional cash transfers to mothers experiencing low income cause differences in their preschoolers’ brain activity. Shortly after giving birth, mothers were randomized to receive $333/month or $20/month for the first several years of their child’s life as a part of the Baby’s First Years study. Here we report on the impact of these cash gifts on resting brain electric activity recorded at 4 years of age as measured by electroencephalography (EEG). We find no impact on our primary preregistered outcome (an aggregated index of mid-to-high-frequency brain activity) or our secondary preregistered outcome frontal gamma power. We did find, in additional exploratory analyses that were part of our pre-registered analytic plan, that preschoolers in the high-cash gift group had higher alpha power compared to those in the low-cash gift group. There were no differences in theta, beta, or gamma power between groups. Although the primary and secondary preregistered outcomes showed no group differences our exploratory analyses provide some evidence for impacts on children’s alpha power during the preschool years, although this evidence needs further investigation and replication.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"78 ","pages":"Article 101673"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038498","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}
Wanrou Hu , Jinming Xiao , Lei Li , Weixing Zhao , Yu Feng , Xiaolong Shan , Huafu Chen , Xujun Duan
{"title":"Developmental organization of neural dynamics supporting social processing: Evidence from naturalistic fMRI in children and adults","authors":"Wanrou Hu , Jinming Xiao , Lei Li , Weixing Zhao , Yu Feng , Xiaolong Shan , Huafu Chen , Xujun Duan","doi":"10.1016/j.dcn.2026.101670","DOIUrl":"10.1016/j.dcn.2026.101670","url":null,"abstract":"<div><div>The development of social cognition underpins significant implications for diagnosing and treating neurodevelopmental disorders such as autism spectrum disorder. This study investigates the dynamic neural organization of social cognition in children (<em>n</em> = 60, ages 3–10) and adults (<em>n</em> = 55) using a naturalistic fMRI paradigm that tracks continuous brain activity during real-world social interactions. We identify four distinct co-activation patterns (CAP) that reflect a functional hierarchy, ranging from basic sensory processing to complex social-cognitive integration. These brain state dynamics reveal significant developmental differences: children exhibit immature transitions, often bypassing intermediate states (e.g., salience-driven filtering, State 3) and prematurely shifting from early sensory encoding (State 1) to internally-directed integration (State 2). Moreover, during mentalizing and pain events, children show reduced modulation of sensory and perceptual brain states, indicating limited cognitive flexibility that is essential for social interaction. Structural equation modeling reveals a developmental cascade linking the maturation of sensory (State 1), perceptual filtering (State 3), and social-cognitive (State 2) processing states. This pathway is mediated by individual differences in Theory of Mind (ToM) development and further predicts empathic abilities. These findings advance our understanding of how brain state reorganization supports social cognitive maturation and offer new insights into neurodevelopmental disorders.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"78 ","pages":"Article 101670"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929006","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}
Rachel A. Bonney , Sarah L. Greenwood , Danielle Thompson , Monica N. Clarke-Smith , Saige C. Rasmussen , Grace E. Parolek , OgheneTejiri V. Smith , Haley R. Pulliam , Brittany K. Taylor
{"title":"Chronic home radon exposure impacts the development of oscillatory dynamics serving visuospatial attention","authors":"Rachel A. Bonney , Sarah L. Greenwood , Danielle Thompson , Monica N. Clarke-Smith , Saige C. Rasmussen , Grace E. Parolek , OgheneTejiri V. Smith , Haley R. Pulliam , Brittany K. Taylor","doi":"10.1016/j.dcn.2026.101682","DOIUrl":"10.1016/j.dcn.2026.101682","url":null,"abstract":"<div><div>Radon is a naturally occurring gas that can accumulate to hazardous levels in homes. While previous work has shown that environmental toxicants negatively impact neurodevelopment, little is understood about how radon may affect critical cognitive functions like visuospatial attention, which is subserved by multispectral neural oscillatory dynamics across the developmentally-sensitive attention networks. This study explored the effects of chronic home radon exposure on the developmental trajectories of oscillatory dynamics serving visuospatial attention in youths. We recruited 118 youths aged 8-to-15 years-old to complete a visuospatial attention task during magnetoencephalography. Families completed a home radon test, and inattention and hyperactivity symptoms were measured using a self-report questionnaire. We found functionally relevant radon-related aberrations to beta dynamics within the left inferior frontal (IFG) and superior temporal gyrus. In both regions, children with higher radon exposure exhibited stronger beta responses as a function of age, which predicted slower reaction times. Age-related strengthening of beta responses in the IFG was also correlated with lesser attentional symptomology. These results suggest aberrant developmental trajectories of neural processing as a function of increasing radon exposure in critical attention regions, which may indicate compensatory activity to sustain performance and improve attentional stability despite chronic environmental insult.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"78 ","pages":"Article 101682"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038497","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}
Elizabeth A. Flook , Nicole L. Zabik , Brandee Feola , Baxter Rogers , Jennifer Urbano Blackford
{"title":"The development of BNST intrinsic functional connectivity from 8 to 23 years of age: A PNC cohort study","authors":"Elizabeth A. Flook , Nicole L. Zabik , Brandee Feola , Baxter Rogers , Jennifer Urbano Blackford","doi":"10.1016/j.dcn.2025.101661","DOIUrl":"10.1016/j.dcn.2025.101661","url":null,"abstract":"<div><div>The bed nucleus of the stria terminalis (BNST) is a small subcortical region that plays a critical role in a wide array of functions, including emotion processing, reward processing, and social interactions. The BNST intrinsic functional network has been well characterized in adults. Despite evidence that BNST connectivity changes during development, maturation of the BNST network has been understudied. To address this gap, we investigated age-related changes in BNST intrinsic connectivity in youth aged 8 – 23 years using resting state functional magnetic resonance imaging scans from the Philadelphia Neurodevelopmental Cohort (PNC), a large cross-sectional dataset. We measured intrinsic connectivity within a BNST network and across the whole brain, testing for effects of age, sex, and age x sex. The BNST ROI network analysis revealed a significant decrease with age for BNST-hypothalamus connectivity and, in boys, BNST-amygdala connectivity. The whole-brain results showed that BNST connectivity was largely established by middle childhood, though there were notable increases in BNST connectivity with motor and planning regions and decreases with age in BNST-subcortical connectivity. These data suggest a shift from subcortical to control-related BNST connectivity with age during this dynamic maturational window.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"78 ","pages":"Article 101661"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146012775","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}
M. Fiona Molloy , Aman Taxali , Mike Angstadt , Katherine Toda-Thorne , Katherine L. McCurry , Alexander Weigard , Omid Kardan , Camille Lehrmann , Joshua Vens , Cleanthis Michael , Mary M. Heitzeg , Chandra Sripada
{"title":"Decreased sleep is linked longitudinally and directionally to alterations in the brain’s intrinsic functional architecture","authors":"M. Fiona Molloy , Aman Taxali , Mike Angstadt , Katherine Toda-Thorne , Katherine L. McCurry , Alexander Weigard , Omid Kardan , Camille Lehrmann , Joshua Vens , Cleanthis Michael , Mary M. Heitzeg , Chandra Sripada","doi":"10.1016/j.dcn.2025.101668","DOIUrl":"10.1016/j.dcn.2025.101668","url":null,"abstract":"<div><div>Previous cross-sectional studies demonstrated that reduced sleep is associated with widespread changes in the brain’s intrinsic functional architecture. The present study extends this work by clarifying links between sleep and the developing brain during adolescence both <em>longitudinally</em> (across two years) and <em>directionally</em> (does reduced sleep cause connectivity changes or are connectivity changes the cause of reduced sleep?). Our novel approach combines the Adolescent Brain Cognitive Development (ABCD) Study, a longitudinal observational study of 11,878 youth, and a second sample of 76 adult participants scanned after a typical night of sleep and after a sleep deprivation causal manipulation. First, in the ABCD dataset, we identified a robust and generalizable neurosignature of reduced sleep. Second, in an independent sample of ABCD participants, we demonstrate that greater reductions in sleep duration across two years are significantly related to greater expression of this neurosignature. Third, in the sleep deprivation dataset, we show that expression of the ABCD reduced sleep neurosignature is significantly increased within individuals following sleep deprivation, and that neurosignatures of reduced sleep from the two samples exhibit significant spatial correspondence. These results clarify links between sleep and the developing brain and provide novel evidence that changes in sleep produce characteristic brain functional connectivity changes across adolescence.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"78 ","pages":"Article 101668"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145898074","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}
Jenna H. Chin , Madeleine K. Wyburd , Vladislav Ayzenberg , Laurie Bayet , Berkin Bilgic , Emily M. Chen , Yuting Chen , Áine Dineen , Shohei Fujita , Janelle Liu , Yohan Jun , M. Catalina Camacho , Lilla Zöllei
{"title":"Deep learning in fetal, infant, and toddler neuroimaging research","authors":"Jenna H. Chin , Madeleine K. Wyburd , Vladislav Ayzenberg , Laurie Bayet , Berkin Bilgic , Emily M. Chen , Yuting Chen , Áine Dineen , Shohei Fujita , Janelle Liu , Yohan Jun , M. Catalina Camacho , Lilla Zöllei","doi":"10.1016/j.dcn.2026.101680","DOIUrl":"10.1016/j.dcn.2026.101680","url":null,"abstract":"<div><div>Artificial intelligence (AI) is increasingly being integrated into everyday tasks and work environments. However, its adoption in medical image analysis has progressed more slowly due to high clinical stakes, limited availability of labeled data, and substantial variability in imaging protocols and population. These challenges are further pronounced in the field of fetal, infant, and toddler (FIT) neuroimaging, where datasets are especially scarce and subject to large amounts of anatomical variability. However, deep learning (DL), a specific method within machine learning, which is itself a subfield of AI, has emerged as a powerful framework to adapt to the challenges of medical image analysis. This review is written for the broad FIT research community, including clinicians, neuroscientists, and develop mental scientists who may not have formal training in AI. To make the material accessible, we provide a concise overview of DL concepts before reviewing a selected, and non-exhaustive, list of applications of DL in FIT neuroimaging, including structural image analysis, enhancement of data acquisition, modeling of cognitive and perceptual processes, and automated video tagging. In closing, we discuss best practices for data curation, ongoing challenges, and opportunities for future research.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"78 ","pages":"Article 101680"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078992","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}