Maya L. Rosen , Divyangana Rakesh , Rachel R. Romeo
{"title":"The role of socioeconomic status in shaping associations between sensory association cortex and prefrontal structure and implications for executive function","authors":"Maya L. Rosen , Divyangana Rakesh , Rachel R. Romeo","doi":"10.1016/j.dcn.2025.101550","DOIUrl":"10.1016/j.dcn.2025.101550","url":null,"abstract":"<div><div>Socioeconomic status (SES) is associated with widespread differences in structure of temporal, parietal, occipital, and frontal cortices. Development of sensory processing regions—in particular visual association cortex (VAC) and auditory association cortex (AAC)—may scaffold development of the prefrontal cortex (PFC). Experiences that correlate with SES like cognitive stimulation and language may influence VAC and AAC development, in turn allowing the PFC to resolve conflicts between similar stimuli. SES-related differences in these regions may partly explain differences in executive function (EF) skills. Here, we use structural equation modeling of longitudinal data from the Adolescent Brain and Cognitive Development study to test the hypothesis that SES-related differences in AAC and VAC are associated with differences in structure of the PFC and development of the PFC over time, which in turn are associated with development of EF. We found partial support for this model, demonstrating that SES-related differences in PFC structure are mediated by differences in sensory cortex structure, and that SES-related differences in sensory cortex structure mediate the association between SES and EF. These findings highlight the role sensory processing regions play in SES-related differences in PFC development. Future studies should explore proximal environmental factors driving SES-related differences to inform interventions.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"73 ","pages":"Article 101550"},"PeriodicalIF":4.6,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143674713","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}
Yanyu Liang , Festus Nyasimi , Owen Melia , Timothy J. Carroll , Thomas Brettin , Andrew Brown , Hae Kyung Im
{"title":"BrainXcan identifies brain features associated with behavioral and psychiatric traits using large-scale genetic and imaging data","authors":"Yanyu Liang , Festus Nyasimi , Owen Melia , Timothy J. Carroll , Thomas Brettin , Andrew Brown , Hae Kyung Im","doi":"10.1016/j.dcn.2025.101542","DOIUrl":"10.1016/j.dcn.2025.101542","url":null,"abstract":"<div><div>Advances in brain MRI have enabled many discoveries in neuroscience. Case-control comparisons of brain MRI features have highlighted potential causes of psychiatric and behavioral disorders. However, due to the cost and difficulty of collecting MRI data, most studies have small sample sizes, limiting their reliability. Furthermore, reverse causality complicates interpretation because many observed brain differences are the result rather than the cause of the disease. Here we propose a method (BrainXcan) that leverages the power of large-scale genome-wide association studies (GWAS) and reference brain MRI data to discover new mechanisms of disease etiology and validate existing ones. BrainXcan tests the association with genetic predictors of brain MRI-derived features and complex traits to pinpoint relevant brain-wide and region-specific features. Requiring only genetic data, BrainXcan allows us to test a host of hypotheses on mental illness, across many MRI modalities, using public data resources. For example, our method shows that reduced axonal density across the brain is associated with schizophrenia risk, consistent with the disconnectivity hypothesis. We also find that the hippocampus volume is associated with schizophrenia risk, highlighting the potential of our approach. Taken together, our results show the promise of BrainXcan to provide insights into the biology of GWAS traits.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"73 ","pages":"Article 101542"},"PeriodicalIF":4.6,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632119","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}
Jiaxin Cindy Tu , Yu Wang , Xintian Wang , Donna Dierker , Chloe M. Sobolewski , Trevor K.M. Day , Omid Kardan , Óscar Miranda-Domínguez , Lucille A. Moore , Eric Feczko , Damien A. Fair , Jed T. Elison , Evan M. Gordon , Timothy O. Laumann , Adam T. Eggebrecht , Muriah D. Wheelock
{"title":"A subset of cortical areas exhibit adult-like functional network patterns in early childhood","authors":"Jiaxin Cindy Tu , Yu Wang , Xintian Wang , Donna Dierker , Chloe M. Sobolewski , Trevor K.M. Day , Omid Kardan , Óscar Miranda-Domínguez , Lucille A. Moore , Eric Feczko , Damien A. Fair , Jed T. Elison , Evan M. Gordon , Timothy O. Laumann , Adam T. Eggebrecht , Muriah D. Wheelock","doi":"10.1016/j.dcn.2025.101551","DOIUrl":"10.1016/j.dcn.2025.101551","url":null,"abstract":"<div><div>The human cerebral cortex contains groups of areas that support sensory, motor, cognitive, and affective functions, often categorized into functional networks. These networks show stronger internal and weaker external functional connectivity (FC), with FC profiles more similar within the same network. Previous studies have shown these networks develop from nascent forms before birth to their mature, adult-like structures in childhood. However, these analyses often rely on adult functional network definitions. This study assesses the potential misidentification of infant functional networks when using adult models and explores the consequences and possible solutions to this problem. Our findings suggest that although adult networks only marginally describe infant FC organization better than chance, misidentification is primarily driven by specific areas. Restricting functional networks to areas with adult-like network clustering revealed consistent within-network FC across scans and throughout development. These areas are also near locations with low network identity variability. Our results highlight the implications of using adult networks for infants and offer guidance for selecting and utilizing functional network models based on research questions and scenarios.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"73 ","pages":"Article 101551"},"PeriodicalIF":4.6,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671683","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 developing visual system: A building block on the path to autism","authors":"Jessica B. Girault","doi":"10.1016/j.dcn.2025.101547","DOIUrl":"10.1016/j.dcn.2025.101547","url":null,"abstract":"<div><div>Longitudinal neuroimaging studies conducted over the past decade provide evidence of atypical visual system development in the first years of life in autism spectrum disorder (ASD). Findings from genomic analyses, family studies, and postmortem investigations suggest that changes in the visual system in ASD are linked to genetic factors, making the visual system an important neural phenotype along the path from genes to behavior that deserves further study. This article reviews what is known about the developing visual system in ASD in the first years of life; it also explores the potential canalizing role that atypical visual system maturation may have in the emergence of ASD by placing findings in the context of developmental cascades involving brain development, attention, and social and cognitive development. Critical gaps in our understanding of human visual system development are discussed, and future research directions are proposed to improve our understanding of ASD as a complex neurodevelopmental disorder with origins in early brain development.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"73 ","pages":"Article 101547"},"PeriodicalIF":4.6,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143629408","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}
Omid Kardan , Natasha Jones , Muriah D. Wheelock , Mike Angstadt , Cleanthis Michael , M. Fiona Molloy , Jiaxin Cindy Tu , Lora M. Cope , Meghan E. Martz , Katherine L. McCurry , Jillian E. Hardee , Monica D. Rosenberg , Alexander S. Weigard , Luke W. Hyde , Chandra S. Sripada , Mary M. Heitzeg
{"title":"Assessing neurocognitive maturation in early adolescence based on baby and adult functional brain landscapes","authors":"Omid Kardan , Natasha Jones , Muriah D. Wheelock , Mike Angstadt , Cleanthis Michael , M. Fiona Molloy , Jiaxin Cindy Tu , Lora M. Cope , Meghan E. Martz , Katherine L. McCurry , Jillian E. Hardee , Monica D. Rosenberg , Alexander S. Weigard , Luke W. Hyde , Chandra S. Sripada , Mary M. Heitzeg","doi":"10.1016/j.dcn.2025.101543","DOIUrl":"10.1016/j.dcn.2025.101543","url":null,"abstract":"<div><div>Adolescence is a period of growth in cognitive performance and functioning. Recently, data-driven measures of brain-age gap, which can index cognitive decline in older populations, have been utilized in adolescent data with mixed findings. Instead of using a data-driven approach, here we assess the maturation status of the brain functional landscape in early adolescence by directly comparing an individual’s resting-state functional connectivity (rsFC) to the canonical early-life and adulthood communities. Specifically, we hypothesized that the degree to which a youth’s connectome is better captured by adult networks compared to infant/toddler networks is predictive of their cognitive development. To test this hypothesis across individuals and longitudinally, we utilized the Adolescent Brain Cognitive Development (ABCD) Study at baseline (9–10 years; n = 6469) and 2-year-follow-up (Y2: 11–12 years; n = 5060). Adjusted for demographic factors, our anchored rsFC score (AFC) was associated with better task performance both across and within participants. AFC was related to age and aging across youth, and change in AFC statistically mediated the age-related change in task performance. In conclusion, we showed that a model-fitting-free index of the brain at rest that is anchored to both adult and baby connectivity landscapes predicts cognitive performance and development in youth.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"73 ","pages":"Article 101543"},"PeriodicalIF":4.6,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601409","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}
Finnegan J. Calabro , Dylan LeCroy , Will Foran , Valerie J. Sydnor , Ashley C. Parr , Christos Constantinidis , Beatriz Luna
{"title":"Developmental decorrelation of local cortical activity through adolescence supports high-dimensional encoding and working memory","authors":"Finnegan J. Calabro , Dylan LeCroy , Will Foran , Valerie J. Sydnor , Ashley C. Parr , Christos Constantinidis , Beatriz Luna","doi":"10.1016/j.dcn.2025.101541","DOIUrl":"10.1016/j.dcn.2025.101541","url":null,"abstract":"<div><div>Adolescence is a key period for the maturation of cognitive control during which cortical circuitry is refined through processes such as synaptic pruning, but how these refinements modulate local functional dynamics to support cognition remains only partially characterized. Here, we used data from a longitudinal, adolescent cohort (N = 134 individuals ages 10–31 years, N = 202 total sessions) that completed MRI scans at ultra-high field (7 Tesla). We used resting state fMRI data to compute surface-based regional homogeneity (ReHo)—a measure of time-dependent correlations in fMRI activity between a vertex and its immediate neighbors—as an index of local functional connectivity across the cortex. We found widespread decreases in ReHo, suggesting increasing heterogeneity and specialization of functional circuits through adolescence. Decreases in ReHo included a spatial component which overlapped with sensorimotor and cingulo-opercular networks, in which ReHo decreases were associated with developmental stabilization of working memory performance. We show that decreases in ReHo are associated with higher intrinsic coding dimensionality, demonstrating how functional specialization of these circuits may confer computational benefits by facilitating increased capacity for encoding information. These results suggest a remodeling of cortical activity in adolescence through which local functional circuits become increasingly specialized, higher-dimensional, and more capable of supporting adult-like cognitive functioning.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"73 ","pages":"Article 101541"},"PeriodicalIF":4.6,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143619636","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}
Hassan Abdulrasul , Henry Brice , Kaja K. Jasińska
{"title":"Developmental timing of adversity and neural network organization: An fNIRS study of the impact of refugee displacement","authors":"Hassan Abdulrasul , Henry Brice , Kaja K. Jasińska","doi":"10.1016/j.dcn.2025.101532","DOIUrl":"10.1016/j.dcn.2025.101532","url":null,"abstract":"<div><div>This study investigated the neurodevelopmental impacts of displacement on resettled Syrian refugee children in Canada, focusing on how the timing and duration of adversity experienced during displacement influence neural network organization. Using graph theoretical approaches within a network neuroscience framework, we examined how the developmental timing of displacement (age of displacement, duration of displacement) related to functional integration, segregation, and small-worldness. Syrian refugee children (n = 61, M<sub>Age</sub>=14 Range = 8–18), completed a resting state scan using functional Near Infrared Spectroscopy (fNIRS) neuroimaging. Data were analyzed to assess the link between neural network properties and developmental timing of adversity. Results indicate that prolonged displacement experienced earlier in life was significantly linked with neural network organization, impacting the balance between the brain's functional integration and segregation as quantified by the overall reduced small worldness in comparison to experiencing displacement at an older age. This study leverages the experiences of refugee children to advance our understanding of how the timing of adversity affects development, providing valuable insights into the broader impacts of early adversity on neurodevelopment.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"73 ","pages":"Article 101532"},"PeriodicalIF":4.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591998","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}
Dea Garic , Khalid W. Al-Ali , Aleeshah Nasir , Omar Azrak , Rebecca L. Grzadzinski , Robert C. McKinstry , Jason J. Wolff , Chimei M. Lee , Juhi Pandey , Robert T. Schultz , Tanya St. John , Stephen R. Dager , Annette M. Estes , Guido Gerig , Lonnie Zwaigenbaum , Natasha Marrus , Kelly N. Botteron , Joseph Piven , Martin Styner , Heather C. Hazlett , Mark D. Shen
{"title":"White matter microstructure in school-age children with down syndrome","authors":"Dea Garic , Khalid W. Al-Ali , Aleeshah Nasir , Omar Azrak , Rebecca L. Grzadzinski , Robert C. McKinstry , Jason J. Wolff , Chimei M. Lee , Juhi Pandey , Robert T. Schultz , Tanya St. John , Stephen R. Dager , Annette M. Estes , Guido Gerig , Lonnie Zwaigenbaum , Natasha Marrus , Kelly N. Botteron , Joseph Piven , Martin Styner , Heather C. Hazlett , Mark D. Shen","doi":"10.1016/j.dcn.2025.101540","DOIUrl":"10.1016/j.dcn.2025.101540","url":null,"abstract":"<div><div>Down syndrome (DS) is the most common genetic cause of intellectual disability, but our understanding of white matter microstructure in children with DS remains limited. Previous studies have reported reductions in white matter integrity, but nearly all studies to date have been conducted in adults or relied solely on diffusion tensor imaging (DTI), which lacks the ability to disentangle underlying properties of white matter organization. This study examined white matter microstructural differences in 7- to 12-year-old children with DS (n = 23), autism (n = 27), and typical development (n = 50) using DTI as well as High Angular Resolution Diffusion Imaging, and Neurite Orientation and Dispersion Imaging. There was a spatially specific pattern of results that showed a dissociation between intra- and inter-hemispheric pathways. Intra-hemispheric pathways (e.g., inferior fronto-occipital fasciculus, superior longitudinal fasciculus) exhibited reduced organization and structural integrity. Inter-hemispheric pathways (e.g., corpus callosum projections) and motor pathways (e.g., corticospinal tract) showed denser neurite packing and lower neurite dispersion. The current findings provide early insight into white matter development in school-aged children with DS and have the potential to further elucidate microstructural differences and inform more targeted clinical trials than what has previously been observed through DTI models alone.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"73 ","pages":"Article 101540"},"PeriodicalIF":4.6,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552821","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}
Halie A. Olson , M. Catalina Camacho , Gavkhar Abdurokhmonova , Sahar Ahmad , Emily M. Chen , Haerin Chung , Renata Di Lorenzo , Áine T. Dineen , Melanie Ganz , Roxane Licandro , Caroline Magnain , Natasha Marrus , Sarah A. McCormick , Tara M. Rutter , Lauren Wagner , Kali Woodruff Carr , Lilla Zöllei , Kelly A. Vaughn , Kathrine Skak Madsen
{"title":"Measuring and interpreting individual differences in fetal, infant, and toddler neurodevelopment","authors":"Halie A. Olson , M. Catalina Camacho , Gavkhar Abdurokhmonova , Sahar Ahmad , Emily M. Chen , Haerin Chung , Renata Di Lorenzo , Áine T. Dineen , Melanie Ganz , Roxane Licandro , Caroline Magnain , Natasha Marrus , Sarah A. McCormick , Tara M. Rutter , Lauren Wagner , Kali Woodruff Carr , Lilla Zöllei , Kelly A. Vaughn , Kathrine Skak Madsen","doi":"10.1016/j.dcn.2025.101539","DOIUrl":"10.1016/j.dcn.2025.101539","url":null,"abstract":"<div><div>As scientists interested in fetal, infant, and toddler (FIT) neurodevelopment, our research questions often focus on how individual children differ in their neurodevelopment and the predictive value of those individual differences for long-term neural and behavioral outcomes. Measuring and interpreting individual differences in neurodevelopment can present challenges: Is there a “standard” way for the human brain to develop? How do the semantic, practical, or theoretical constraints that we place on studying “development” influence how we measure and interpret individual differences? While it is important to consider these questions across the lifespan, they are particularly relevant for conducting and interpreting research on individual differences in fetal, infant, and toddler neurodevelopment due to the rapid, profound, and heterogeneous changes happening during this period, which may be predictive of long-term outcomes. This article, therefore, has three goals: 1) to provide an overview about how individual differences in neurodevelopment are studied in the field of developmental cognitive neuroscience, 2) to identify challenges and considerations when studying individual differences in neurodevelopment, and 3) to discuss potential implications and solutions moving forward.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"73 ","pages":"Article 101539"},"PeriodicalIF":4.6,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563672","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}
Marcin Szwed , Alethea V. de Jesus , Bartosz Kossowski , Hedyeh Ahmadi , Emilia Rutkowska , Yarema Mysak , Clemens Baumbach , Katarzyna Kaczmarek-Majer , Anna Degórska , Krzysztof Skotak , Katarzyna Sitnik-Warchulska , Małgorzata Lipowska , James Grellier , Iana Markevych , Megan M. Herting
{"title":"Air pollution and cortical myelin T1w/T2w ratio estimates in school-age children from the ABCD and NeuroSmog studies.","authors":"Marcin Szwed , Alethea V. de Jesus , Bartosz Kossowski , Hedyeh Ahmadi , Emilia Rutkowska , Yarema Mysak , Clemens Baumbach , Katarzyna Kaczmarek-Majer , Anna Degórska , Krzysztof Skotak , Katarzyna Sitnik-Warchulska , Małgorzata Lipowska , James Grellier , Iana Markevych , Megan M. Herting","doi":"10.1016/j.dcn.2025.101538","DOIUrl":"10.1016/j.dcn.2025.101538","url":null,"abstract":"<div><div>Air pollution affects human health and may disrupt brain maturation, including axon myelination, critical for efficient neural signaling. Here, we assess the impact of prenatal and current long-term particulate matter (PM) and nitrogen dioxide (NO<sub>2</sub>) exposure on cortical T1w/T2w ratios – a proxy for myelin content – in school-age children from the Adolescent Brain Cognitive Development (ABCD) Study (United States; N = 2021) and NeuroSmog study (Poland; N = 577), using Siemens scanners. Across both samples, we found that NO<sub>2</sub> and PM were not significantly associated with cortical T1w/T2w except for one association of PM<sub>10</sub> with lower T1w/T2w in the precuneus in NeuroSmog. Superficially, ABCD Study analyses including data from all scanner types (Siemens, GE, Philips; N = 3089) revealed a negative association between NO₂ exposure and T1w/T2w ratios. However, this finding could be an artifact of between-site sociodemographic differences and large scanner-type-related measurement differences. While significant associations between air pollution and cortical myelin were largely absent, these findings do not rule out the possibility that air pollution affects cortical myelin during other exposure periods/stages of neurodevelopment. Future research should examine these relationships across diverse populations and developmental periods using unified analysis methods to better understand the potential neurotoxic effects of air pollution.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"73 ","pages":"Article 101538"},"PeriodicalIF":4.6,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143619739","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}