Developmental Cognitive Neuroscience最新文献

{"title":"Responsible research in health disparities using the Adolescent Brain Cognitive DevelopmentSM (ABCD) study","authors":"MR Gonzalez ,&nbsp;C Cardenas-Iniguez ,&nbsp;DE Linares ,&nbsp;S Wonnum ,&nbsp;K Bagot ,&nbsp;EJ White ,&nbsp;A Cuan ,&nbsp;S DiMatteo ,&nbsp;YD Akiel ,&nbsp;P Lindsley ,&nbsp;JC Harris ,&nbsp;E Perez-Amparan ,&nbsp;TD Powell ,&nbsp;Comité Organizador Latino de City Heights (COLCH) ,&nbsp;G Dowling ,&nbsp;D Alkire ,&nbsp;WK Thompson ,&nbsp;TM Murray","doi":"10.1016/j.dcn.2024.101497","DOIUrl":"10.1016/j.dcn.2024.101497","url":null,"abstract":"<div><h3>Purpose</h3><div>The Adolescent Brain Cognitive Development^SM (ABCD) Study is the largest longitudinal study on brain development and adolescent health in the United States. The study includes a sociodemographically diverse cohort of nearly 12,000 youth born 2005–2009, with an open science model of making data rapidly available to the scientific community. The ABCD Study® data has been used in over 1100 peer-reviewed publications since its first data release in 2018. The dataset contains a broad scope and comprehensive set of measures of youths’ behavioral, health, and brain outcomes, as well as extensive contextual and environmental measures that map onto the social determinants of health (SDOH). Understanding the impact of SDOH on the developmental trajectories of youth will help to address early lifecourse health inequities that lead to disparities later in life. However, the open science model and extensive use of ABCD data highlight the need for guidance on appropriate, responsible, and equitable use of the data.</div></div><div><h3>Design Methods</h3><div>Our conceptual framework integrates the National Institute on Minority Health and Health Disparities (NIMHD) Research Framework with strength-based and data equity perspectives. We use this framework to articulate best practices and methods for investigations that aim to identify the multilevel pathways by which structural and systemic inequities impact adolescent health trajectories.</div></div><div><h3>Results</h3><div>Using our conceptual model, we provide recommendations for equitable health disparities research using ABCD Study data. We identify over fifty ABCD measures that can encompass SDOH across five levels of influence: individual, interpersonal, school, community, and societal. We expand the societal level to acknowledge structural discrimination as the root cause of systemic and structural inequities resulting in health disparities among marginalized youth. We apply the methodological recommendations in an example data analysis using a multi-level approach that integrates strength-based and data equity perspectives to elucidate pathways by which social and structural inequities may influence cognitive decision making in youth. We conclude with recommendations for strengthening the utility of ABCD data for health disparities research now and in the future.</div></div><div><h3>Conclusion</h3><div>Adolescence is a critical period of development with subsequent ramifications for health outcomes across the lifespan. Thus, understanding SDOH among diverse youth can inform prevention interventions before the emergence of health disparities in adulthood.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"71 ","pages":"Article 101497"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11731755/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142899605","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":"Optimizing infant neuroimaging methods to understand the neurodevelopmental impacts of early nutrition and feeding","authors":"Claudia A. Carreno ,&nbsp;Megan E. Evans ,&nbsp;Blakely K. Lockhart ,&nbsp;Oziomachukwu Chinaka ,&nbsp;Benjamin Katz ,&nbsp;Martha Ann Bell ,&nbsp;Brittany R. Howell","doi":"10.1016/j.dcn.2024.101481","DOIUrl":"10.1016/j.dcn.2024.101481","url":null,"abstract":"<div><div>There is strong evidence proper nutrition is imperative for healthy infant neurodevelopment, providing the neural foundations for later cognition and behavior. Over the first years of life infants are supported by unique sources of nutrition (e.g., human milk, alternative milk sources). It is during this time that the brain undergoes its most drastic changes during postnatal development. Past research has examined associations between infant feeding and nutrition and morphological features of the brain, yet there remains a paucity of information on functional characteristics of neural activity during feeding. Within this article, we discuss how neuroimaging modalities can be optimized for researching the impacts of infant feeding and nutrition on brain function. We review past research utilizing EEG and fNIRS and describe our efforts to further develop neuroimaging approaches that allow for measurement of brain activity during active feeding with greater spatial resolution (e.g., fMRI and OPM-MEG). We also discuss current challenges, as well as the scientific and logistical limitations of each method. Once protocols have been optimized, these methods will provide the requisite insight into the underlying mechanisms of nutritional and feeding impacts on neurodevelopment, providing the missing piece in the field’s efforts to understand this essential and ubiquitous part of early life.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"71 ","pages":"Article 101481"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11667636/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142796145","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":"Co-developing sleep-wake and sensory foundations for cognition in the human fetus and newborn","authors":"Kimberley Whitehead","doi":"10.1016/j.dcn.2024.101487","DOIUrl":"10.1016/j.dcn.2024.101487","url":null,"abstract":"<div><div>In older children and adults, cognition builds upon waking sensory experience which is consolidated during sleep. In the fetus and newborn, sensory input is instead largely experienced <em>during</em> sleep. The nature of these sensory inputs differs within sleep, between active and quiet sleep, as well as versus wakefulness. Here, sleep-wake organisation in the fetus and newborn is reviewed, and then its interaction with sensory inputs discussed with a focus on somatosensory and auditory modalities. Next, these ideas are applied to how neurological insults affect early development, using fetal growth restriction as a test case. Finally, the argument is made that taking account of sleep-wake state during perinatal functional neuroimaging can better index sensorimotor, language, and cognitive brain activities, potentially improving its diagnostic and prognostic value. To sum up, sensory and sleep-wake functions go hand in hand during early human development. Perturbation of these twinned functions by neurological insults may mediate later neurodevelopmental deficits. Perinatal neuroimaging has the potential to track these trajectories, feasibly identifying opportunities to therapeutically intervene.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"71 ","pages":"Article 101487"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11699341/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142830678","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":"Social behavior in ASD males: The interplay between cognitive flexibility, working memory, and functional connectivity deviations","authors":"Shi Yu Chan ,&nbsp;Jasmine Si Min Chuah ,&nbsp;Pei Huang ,&nbsp;Ai Peng Tan","doi":"10.1016/j.dcn.2024.101483","DOIUrl":"10.1016/j.dcn.2024.101483","url":null,"abstract":"<div><div>Autism spectrum disorder (ASD) is highly heterogeneous in presentation. While abnormalities in brain functional connectivity are consistently observed in autistic males, the neurobiological basis underlying the different domains of autism symptoms is unclear. In this study, we evaluated whether individual variations in functional connectivity deviations map to social behavior in ASD males. Using neuroimaging data from the Autism Brain Imaging Data Exchange (ABIDE), we modeled normative trajectories of between-network resting-state functional connectivity (rsFC) in non-ASD males across childhood (n = 321). These normative charts were then applied to ASD males (n = 418) to calculate individual deviation scores (z-scores) that reflect the degree of rsFC atypicality. Deviations in rsFC patterns among the default mode network (DMN), ventral attention network (VAN), frontoparietal network (FPN), and somatomotor network (SMN) were associated with distinct dimensions of social behavior. Cognitive flexibility and working memory mediated the association between VANxDMN z-scores and social behavioral problems. Our findings underscore the potential of normative models to identify atypical brain connectivity at an individual level, revealing the neurobiological patterns associated with social behavioral problems in ASD that are critical for precision diagnosis and intervention. Social outcomes in ASD males may be improved by targeting cognitive flexibility and working memory.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"71 ","pages":"Article 101483"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11664134/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142786377","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":"Effects of early maternal care on anxiety and threat learning in adolescent nonhuman primates","authors":"Elyse L. Morin ,&nbsp;Erin R. Siebert ,&nbsp;Brittany R. Howell ,&nbsp;Melinda Higgins ,&nbsp;Tanja Jovanovic ,&nbsp;Andrew M. Kazama ,&nbsp;Mar M. Sanchez","doi":"10.1016/j.dcn.2024.101480","DOIUrl":"10.1016/j.dcn.2024.101480","url":null,"abstract":"<div><div>Early life adverse experiences, including childhood maltreatment, are major risk factors for psychopathology, including anxiety disorders with dysregulated fear responses. Consistent with human studies, maltreatment by the mother (MALT) leads to increased emotional reactivity in rhesus monkey infants. Whether this persists and results in altered emotion regulation, due to enhanced fear learning or impaired utilization of safety signals as shown in human stress-related disorders, is unclear. Here we used a rhesus model of MALT to examine long-term effects on state anxiety and threat/safety learning in 25 adolescents, using a fear conditioning paradigm (AX+/BX-) with acoustic startle amplitude as the peripheral measure. The AX+/BX- paradigm measures baseline startle, fear-potentiated startle, threat/safety cue discrimination, startle attenuation by safety signals, and extinction. Baseline startle was higher in MALT animals, suggesting elevated state anxiety. No differences in threat learning, or threat/safety discrimination were detected. However, MALT animals showed generalized blunted responses to the conditioned threat cue, regardless of the safety cue presence in the transfer test, and took longer to extinguish spontaneously recovered threat. These findings suggest adverse caregiving experiences have long-term impacts on adolescent emotion regulation, including elevated state anxiety and blunted fear conditioning responses, consistent with reports in children with maltreatment exposure.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"71 ","pages":"Article 101480"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11665541/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142792324","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":"The maturation of infant and toddler visual cortex neural activity and associations with fine motor performance","authors":"Katharina Otten ,&nbsp;J. Christopher Edgar ,&nbsp;Heather L. Green ,&nbsp;Kylie Mol ,&nbsp;Marybeth McNamee ,&nbsp;Emily S. Kuschner ,&nbsp;Mina Kim ,&nbsp;Song Liu ,&nbsp;Hao Huang ,&nbsp;Marisa Nordt ,&nbsp;Kerstin Konrad ,&nbsp;Yuhan Chen","doi":"10.1016/j.dcn.2024.101501","DOIUrl":"10.1016/j.dcn.2024.101501","url":null,"abstract":"<div><div>Our understanding of how visual cortex neural processes mature during infancy and toddlerhood is limited. Using magnetoencephalography (MEG), the present study investigated the development of visual evoked responses (VERs) in cross-sectional and longitudinal samples of infants and toddlers 2 months to 3 years. Brain space analyses focused on N1m and P1m latency, as well as N1m-to-P1m amplitude. Associations between VER measures and developmental quotient (DQ) scores in the cognitive/visual and fine motor domains were also examined. Results showed a nonlinear decrease in N1m and P1m latency as a function of age, characterized by rapid changes followed by slower progression, with the N1m latency plateauing at 6–7 months and the P1m latency plateauing at 8–9 months. The N1m-to-P1m amplitude also exhibited a non-linear decrease, with strong responses observed in younger infants (∼2–3 months) and then a gradual decline. Associations between N1m and P1m latency and fine motor DQ scores were observed, suggesting that infants with faster visual processing may be better equipped to perform fine motor tasks. The present findings advance our understanding of the maturation of the infant visual system and highlight the relationship between the maturation of the visual system and fine motor skills.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"71 ","pages":"Article 101501"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11743914/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142903878","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":"Harmonizing multisite neonatal diffusion-weighted brain MRI data for developmental neuroscience","authors":"Alexandra F. Bonthrone ,&nbsp;Manuel Blesa Cábez ,&nbsp;A. David Edwards ,&nbsp;Jo V. Hajnal ,&nbsp;Serena J. Counsell ,&nbsp;James P. Boardman","doi":"10.1016/j.dcn.2024.101488","DOIUrl":"10.1016/j.dcn.2024.101488","url":null,"abstract":"<div><div>Large diffusion-weighted brain MRI (dMRI) studies in neonates are crucial for developmental neuroscience. Our aim was to investigate the utility of ComBat, an empirical Bayes tool for multisite harmonization, in removing site effects from white matter (WM) dMRI measures in healthy infants born at 37 gestational weeks+ 0 days-42 weeks+ 6 days from the Theirworld Edinburgh Birth Cohort (n = 86) and Developing Human Connectome Project (n = 287). Skeletonized fractional anisotropy (FA), mean, axial and radial diffusivity (MD, AD, RD) maps were harmonized. Differences between voxel-wise metrics, skeleton means and histogram widths (5th-95th percentile) were assessed before and after harmonization, as well as variance associated with gestational age at birth and scan. Before harmonization, large cohort differences were observed. Harmonization removed all voxel-wise differences from MD maps and all metric means and histogram widths, however small voxel-wise differences (&lt;1.5 % of voxels) remained in FA, AD and RD. We detected significant relationships between GA at birth and all metrics. When comparing single site and multisite harmonized datasets of equal sample sizes, harmonized data resulted in smaller standardized regression coefficients. ComBat could enable unprecedented sample sizes in developmental neuroscience, offering new horizons for biomarker discovery and validation, understanding typical and atypical brain development, and assessing neuroprotective therapies.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"71 ","pages":"Article 101488"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11683243/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142814703","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":"Neural markers of error processing relate to task performance, but not to substance-related risks and problems and externalizing problems in adolescence and emerging adulthood","authors":"Olga D. Boer ,&nbsp;Thea Wiker ,&nbsp;Shervin H. Bukhari ,&nbsp;Rikka Kjelkenes ,&nbsp;Clara M.F. Timpe ,&nbsp;Irene Voldsbekk ,&nbsp;Knut Skaug ,&nbsp;Rune Boen ,&nbsp;Valerie Karl ,&nbsp;Torgeir Moberget ,&nbsp;Lars T. Westlye ,&nbsp;Ingmar H.A. Franken ,&nbsp;Hanan El Marroun ,&nbsp;Rene J. Huster ,&nbsp;Christian K. Tamnes","doi":"10.1016/j.dcn.2024.101500","DOIUrl":"10.1016/j.dcn.2024.101500","url":null,"abstract":"<div><div>Detecting errors and adapting behavior accordingly constitutes an integral aspect of cognition. Previous studies have linked neural correlates of error processing (e.g., error-related negativity (ERN) and error-related positivity (Pe)) to task performance and broader behavioral constructs, but few studies examined how these associations manifest in adolescence. In this study, we examined neural error processing markers and their behavioral associations in an adolescent/emerging adult sample (<em>N</em> = 143, <em>M</em>_age = 18.0 years, range 11–25 years), employing a stop-signal task. Linear regressions were conducted using bootstrap resampling to explore associations between ERN/Pe peak amplitudes and latencies, stop accuracy, stop-signal reaction time (SSRT), and post-error slowing, as well as self-reported substance-related risks and problems and externalizing problems. After adjusting for age and sex, smaller frontocentral Pe amplitude and later Pe latency were associated with longer SSRT, and later Pe latency was associated with lower stop accuracy. This might indicate that the Pe, which is thought to reflect conscious error processing, reflects task performance on a response inhibition task better than the ERN, which reflects subconscious error processing. After correcting for multiple testing, there were no associations between ERN/Pe parameters and substance-related or externalizing problems, and no age interactions for these associations were detected.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"71 ","pages":"Article 101500"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11732202/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142899601","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":"EEG-based brain age prediction in infants–toddlers: Implications for early detection of neurodevelopmental disorders","authors":"Winko W. An ,&nbsp;Aprotim C. Bhowmik ,&nbsp;Charles A. Nelson ,&nbsp;Carol L. Wilkinson","doi":"10.1016/j.dcn.2024.101493","DOIUrl":"10.1016/j.dcn.2024.101493","url":null,"abstract":"<div><div>The infant brain undergoes rapid developmental changes in the first three years of life. Understanding these changes through the prediction of chronological age using neuroimaging can provide insights into typical and atypical brain development. We utilized 938 resting-state EEG recordings from 457 typically developing infants, 2 to 38 months old, to develop age prediction models. The multilayer perceptron model demonstrated the highest accuracy with an R<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span> of 0.83 and a mean absolute error of 91.7 days. Feature importance analysis that combined hierarchical clustering and Shapley values identified two feature clusters describing periodic alpha and low beta activity as key predictors of age. Application of the model to EEG data from infants later diagnosed with autism or Down syndrome revealed significant underestimations of chronological age, supporting its potential as a clinical tool for early identification of alterations in brain development.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"71 ","pages":"Article 101493"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11732522/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142899621","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":"Neural correlates of vicarious reward processing and peer victimization experiences in late childhood","authors":"Simone Dobbelaar ,&nbsp;Sanne Kellij ,&nbsp;René Veenstra ,&nbsp;Berna Güroğlu","doi":"10.1016/j.dcn.2024.101499","DOIUrl":"10.1016/j.dcn.2024.101499","url":null,"abstract":"<div><div>This preregistered study examined the neural correlates of vicarious reward processing and subsequent trust behavior in relation to experiences of victimization averaged over two years in late childhood. This study used a sample of children with prospective longitudinal data on peer victimization over the past two years (<em>n</em>_behavioral = 83, 49.4 % girls, <em>M</em>_<em>age</em> = 10.6 years, <em>n</em>_fmri = 62). Participants played an fMRI vicarious reward task in which they could win or lose money for themselves and two other peers. The two other peers were experimentally manipulated to either include or exclude the participant in a Cyberball task prior to the task. Additionally, trust in the two peers was assessed using a one-shot trust game. Results revealed ventral striatum activation when winning (versus losing) for oneself, and activation in the dmPFC, vmPFC and precuneus when playing for excluders rather than for oneself. Victimization predicted decreased ventral striatum activation during personal rewards, and increased activation in the dorsomedial prefrontal cortex when playing for excluders rather than for oneself. Finally, averaged victimization was associated with increased differentiation in trust toward the including and excluding peers. Together, these findings contribute to our understanding of the social cognitions and behaviors of victims of bullying.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"71 ","pages":"Article 101499"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11743848/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142903876","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}