Developmental Cognitive Neuroscience最新文献

英文中文

White matter microstructure in school-age children with down syndrome

IF 4.6 2区医学 Q1 NEUROSCIENCES

Developmental Cognitive Neuroscience

Pub Date : 2025-03-01 DOI: 10.1016/j.dcn.2025.101540

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

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.

{"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}

引用次数: 0

Measuring and interpreting individual differences in fetal, infant, and toddler neurodevelopment

IF 4.6 2区医学 Q1 NEUROSCIENCES

Developmental Cognitive Neuroscience

Pub Date : 2025-03-01 DOI: 10.1016/j.dcn.2025.101539

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

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.

{"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}

引用次数: 0

Corrigendum to "A multi-sample evaluation of the measurement structure and function of the modified monetary incentive delay task in adolescents" [Dev. Cogn. Neurosci. 65 (2024) 1-17].

IF 4.6 2区医学 Q1 NEUROSCIENCES

Developmental Cognitive Neuroscience

Pub Date : 2025-02-26 DOI: 10.1016/j.dcn.2025.101533

Michael I Demidenko, Jeanette A Mumford, Nilam Ram, Russell A Poldrack

引用次数: 0

Phonological decoding ability is associated with fiber density of the left arcuate fasciculus longitudinally across reading development

IF 4.6 2区医学 Q1 NEUROSCIENCES

Developmental Cognitive Neuroscience

Pub Date : 2025-02-25 DOI: 10.1016/j.dcn.2025.101537

Meaghan V. Perdue , Bryce L. Geeraert , Kathryn Y. Manning , Deborah Dewey , Catherine Lebel

Numerous studies have linked reading ability to white matter microstructure using diffusion tensor imaging, but findings have been inconsistent and lack specificity. Fiber-specific diffusion-weighted magnetic resonance imaging (dMRI) models offer enhanced precision in measuring specific microstructural features, but they have not yet been applied to examine associations between reading ability and white matter microstructure development as children learn to read. We applied constrained spherical deconvolution (CSD) and fiber-specific modelling to characterize developmental changes in fiber density of key white matter tracts of the reading network, and investigated associations between tract-wise fiber density and children’s phonological decoding abilities. Fiber density was measured from ages 2–13 years, and decoding ability (pseudoword reading) was assessed at ages 6 years and older. Higher decoding ability was associated with greater fiber density in the left arcuate fasciculus, and effects remained consistent over time. Follow-up analysis revealed that asymmetry changes in the arcuate fasciculus were moderated by decoding ability: good decoders showed leftward asymmetry from early childhood onward, while poorer decoders shifted toward leftward asymmetry over time. These results suggest that densely organized fibers in the left arcuate fasciculus serve as a foundation for the development of reading skills from the pre-reading stage through fluent reading.

{"title":"Phonological decoding ability is associated with fiber density of the left arcuate fasciculus longitudinally across reading development","authors":"Meaghan V. Perdue , Bryce L. Geeraert , Kathryn Y. Manning , Deborah Dewey , Catherine Lebel","doi":"10.1016/j.dcn.2025.101537","DOIUrl":"10.1016/j.dcn.2025.101537","url":null,"abstract":"<div><div>Numerous studies have linked reading ability to white matter microstructure using diffusion tensor imaging, but findings have been inconsistent and lack specificity. Fiber-specific diffusion-weighted magnetic resonance imaging (dMRI) models offer enhanced precision in measuring specific microstructural features, but they have not yet been applied to examine associations between reading ability and white matter microstructure development as children learn to read. We applied constrained spherical deconvolution (CSD) and fiber-specific modelling to characterize developmental changes in fiber density of key white matter tracts of the reading network, and investigated associations between tract-wise fiber density and children’s phonological decoding abilities. Fiber density was measured from ages 2–13 years, and decoding ability (pseudoword reading) was assessed at ages 6 years and older. Higher decoding ability was associated with greater fiber density in the left arcuate fasciculus, and effects remained consistent over time. Follow-up analysis revealed that asymmetry changes in the arcuate fasciculus were moderated by decoding ability: good decoders showed leftward asymmetry from early childhood onward, while poorer decoders shifted toward leftward asymmetry over time. These results suggest that densely organized fibers in the left arcuate fasciculus serve as a foundation for the development of reading skills from the pre-reading stage through fluent reading.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"72 ","pages":"Article 101537"},"PeriodicalIF":4.6,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508263","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}

引用次数: 0

Developmental trajectories of gyrification and sulcal morphometrics in children and adolescents at high familial risk for bipolar disorder or schizophrenia

IF 4.6 2区医学 Q1 NEUROSCIENCES

Developmental Cognitive Neuroscience

Pub Date : 2025-02-24 DOI: 10.1016/j.dcn.2025.101536

Simon R. Poortman , Jakub Jamarík , Louise ten Harmsen van der Beek , Nikita Setiaman , Manon H.J. Hillegers , Marjolein E.A. Barendse , Neeltje E.M. van Haren

Offspring of parents with severe mental illness are at increased risk of developing psychopathology. Identifying endophenotypic markers in high-familial-risk individuals can aid in early detection and inform development of prevention strategies. Using generalized additive mixed models, we compared age trajectories of gyrification index (GI) and sulcal morphometric measures (i.e., sulcal depth, length and width) between individuals at familial risk for bipolar disorder or schizophrenia and controls. 300 T1-weighted MRI scans were obtained of 187 individuals (53 % female, age range: 8–23 years) at familial risk for bipolar disorder (n = 80, n families=55) or schizophrenia (n = 53, n families=36) and controls (n = 54, n families=33). 113 individuals underwent two scans. Globally, GI, sulcal depth and sulcal length decreased significantly with age, and sulcal width increased significantly with age in a (near-)linear manner. There were no differences between groups in age trajectories or mean values of gyrification or any of the sulcal measures. These findings suggest that, on average, young individuals at familial risk for bipolar disorder or schizophrenia have preserved developmental patterns of gyrification and sulcal morphometrics during childhood and adolescence.

{"title":"Developmental trajectories of gyrification and sulcal morphometrics in children and adolescents at high familial risk for bipolar disorder or schizophrenia","authors":"Simon R. Poortman , Jakub Jamarík , Louise ten Harmsen van der Beek , Nikita Setiaman , Manon H.J. Hillegers , Marjolein E.A. Barendse , Neeltje E.M. van Haren","doi":"10.1016/j.dcn.2025.101536","DOIUrl":"10.1016/j.dcn.2025.101536","url":null,"abstract":"<div><div>Offspring of parents with severe mental illness are at increased risk of developing psychopathology. Identifying endophenotypic markers in high-familial-risk individuals can aid in early detection and inform development of prevention strategies. Using generalized additive mixed models, we compared age trajectories of gyrification index (GI) and sulcal morphometric measures (i.e., sulcal depth, length and width) between individuals at familial risk for bipolar disorder or schizophrenia and controls. 300 T1-weighted MRI scans were obtained of 187 individuals (53 % female, age range: 8–23 years) at familial risk for bipolar disorder (n = 80, n families=55) or schizophrenia (n = 53, n families=36) and controls (n = 54, n families=33). 113 individuals underwent two scans. Globally, GI, sulcal depth and sulcal length decreased significantly with age, and sulcal width increased significantly with age in a (near-)linear manner. There were no differences between groups in age trajectories or mean values of gyrification or any of the sulcal measures. These findings suggest that, on average, young individuals at familial risk for bipolar disorder or schizophrenia have preserved developmental patterns of gyrification and sulcal morphometrics during childhood and adolescence.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"72 ","pages":"Article 101536"},"PeriodicalIF":4.6,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527377","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}

引用次数: 0

Statistical properties of functional connectivity MRI enrichment analysis in school-age autism research

IF 4.6 2区医学 Q1 NEUROSCIENCES

Developmental Cognitive Neuroscience

Pub Date : 2025-02-22 DOI: 10.1016/j.dcn.2025.101534

Austin S. Ferguson , Tomoyuki Nishino , Jessica B. Girault , Heather C. Hazlett , Robert T. Schultz , Natasha Marrus , Martin Styner , Santiago Torres-Gomez , Guido Gerig , Alan Evans , Stephen R. Dager , Annette M. Estes , Lonnie Zwaigenbaum , Juhi Pandey , Tanya St. John , Joseph Piven , John R. Pruett Jr. , Alexandre A. Todorov , for the IBIS Network

Mass univariate testing on functional connectivity MRI (fcMRI) data is limited by difficulties achieving experiment-wide significance. Recent work addressing this problem has used enrichment analysis, which aggregates univariate screening statistics for a set of variables into a single enrichment statistic. There have been promising results using this method to explore fcMRI-behavior associations. However, there has not yet been a rigorous examination of the statistical properties of enrichment analysis when applied to fcMRI data. Establishing power for fcMRI enrichment analysis will be important for future neuropsychiatric and cognitive neuroscience study designs that plan to include this method. Here, we use realistic simulation methods, which mimic the covariance structure of fcMRI data, to examine the false positive rate and statistical power of one technique for enrichment analysis, over-representation analysis. We find it can attain high power even for moderate effects and sample sizes, and it strongly outperforms univariate analysis. The false positive rate associated with permutation testing is robust.

{"title":"Statistical properties of functional connectivity MRI enrichment analysis in school-age autism research","authors":"Austin S. Ferguson , Tomoyuki Nishino , Jessica B. Girault , Heather C. Hazlett , Robert T. Schultz , Natasha Marrus , Martin Styner , Santiago Torres-Gomez , Guido Gerig , Alan Evans , Stephen R. Dager , Annette M. Estes , Lonnie Zwaigenbaum , Juhi Pandey , Tanya St. John , Joseph Piven , John R. Pruett Jr. , Alexandre A. Todorov , for the IBIS Network","doi":"10.1016/j.dcn.2025.101534","DOIUrl":"10.1016/j.dcn.2025.101534","url":null,"abstract":"<div><div>Mass univariate testing on functional connectivity MRI (fcMRI) data is limited by difficulties achieving experiment-wide significance. Recent work addressing this problem has used enrichment analysis, which aggregates univariate screening statistics for a set of variables into a single enrichment statistic. There have been promising results using this method to explore fcMRI-behavior associations. However, there has not yet been a rigorous examination of the statistical properties of enrichment analysis when applied to fcMRI data. Establishing power for fcMRI enrichment analysis will be important for future neuropsychiatric and cognitive neuroscience study designs that plan to include this method. Here, we use realistic simulation methods, which mimic the covariance structure of fcMRI data, to examine the false positive rate and statistical power of one technique for enrichment analysis, over-representation analysis. We find it can attain high power even for moderate effects and sample sizes, and it strongly outperforms univariate analysis. The false positive rate associated with permutation testing is robust.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"72 ","pages":"Article 101534"},"PeriodicalIF":4.6,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143518924","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}

引用次数: 0

The overgrowth of structure-function coupling in premature brain during infancy

IF 4.6 2区医学 Q1 NEUROSCIENCES

Developmental Cognitive Neuroscience

Pub Date : 2025-02-21 DOI: 10.1016/j.dcn.2025.101535

Rong Wang , Tianyu Fang , Yue Zhang , Yue Cheng , Chunfang Wang , Yuanyuan Chen , Qiuyun Fan , Xin Zhao , Dong Ming

Although the rapid growth of brain structure and function during infancy has been well documented, relatively little is known about how these two developmental processes couple—an aspect that exhibits distinct patterns in adult brain. In this study, the multimodal MRI data from the dHCP database were used to investigate the coupling between brain structure and function in infants, with a particular focus on how prematurity influences this relationship. A similar pattern of the coupling distribution between preterm and full-term infants was identified with coupling index varying across unimodal cortices such as visual and sensorimotor regions and transmodal cortices including default mode network. Notably, a widespread overgrowth of structure-function coupling and a slow developmental trajectory towards full-term infants in preterm infants at term-equivalent age were found. Collectively, the study quantified the development of structure-function relationships in preterm infants, offering new insights into the information transmission processes and developmental patterns of the early-life brain.

{"title":"The overgrowth of structure-function coupling in premature brain during infancy","authors":"Rong Wang , Tianyu Fang , Yue Zhang , Yue Cheng , Chunfang Wang , Yuanyuan Chen , Qiuyun Fan , Xin Zhao , Dong Ming","doi":"10.1016/j.dcn.2025.101535","DOIUrl":"10.1016/j.dcn.2025.101535","url":null,"abstract":"<div><div>Although the rapid growth of brain structure and function during infancy has been well documented, relatively little is known about how these two developmental processes couple—an aspect that exhibits distinct patterns in adult brain. In this study, the multimodal MRI data from the dHCP database were used to investigate the coupling between brain structure and function in infants, with a particular focus on how prematurity influences this relationship. A similar pattern of the coupling distribution between preterm and full-term infants was identified with coupling index varying across unimodal cortices such as visual and sensorimotor regions and transmodal cortices including default mode network. Notably, a widespread overgrowth of structure-function coupling and a slow developmental trajectory towards full-term infants in preterm infants at term-equivalent age were found. Collectively, the study quantified the development of structure-function relationships in preterm infants, offering new insights into the information transmission processes and developmental patterns of the early-life brain.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"72 ","pages":"Article 101535"},"PeriodicalIF":4.6,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508262","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}

引用次数: 0

Maternal depressive symptoms in childhood and offspring brain cortical and subcortical volumetric change: A repeated imaging study from age 4–10 years

IF 4.6 2区医学 Q1 NEUROSCIENCES

Developmental Cognitive Neuroscience

Pub Date : 2025-02-14 DOI: 10.1016/j.dcn.2025.101531

Yuna Koyama , Ai Peng Tan , Ekaterina Sadikova , Peipei Setoh , Birit Broekman , Juan Helen Zhou , Peter Gluckman , Helen Chen , Henning Tiemeier

Maternal depressive symptoms have been associated with offspring’s brain structural differences. However, previous studies were limited by cross-sectional designs, brain region-of-interest analyses, or clinical samples. Importantly, few studies assessed the early childhood brain. This study analyzed data from a Singaporean cohort of 217 children with 589 repeated structural neuroimaging from 4.5 to 10.5 years (2–4 assessments) in relation to maternal depressive symptoms. Maternal depressive symptoms were measured by questionnaire at child age 4.5 years. Mixed models explored within-sample change accounting for non-linear brain development. Multiple testing was corrected, and a stringent threshold was applied. Maternal depressive symptoms were associated with persistently smaller precentral gyral volume over time (β = −0.162 [-0.238; −0.086], p_adj < 0.001). In analysis with time interaction, maternal symptoms were associated with curvilinear changes in the volumes of supramarginal (β = −0.019 [-0.027; −0.010], p_adj < 0.001) and precuneus gyrus (β = −0.016 [-0.025; −0.007], p_adj = 0.007); this suggests delayed volumetric development in brain areas governing attention, memory, and language among children exposed to severe maternal symptoms. The findings implicate that childhood maternal depressive symptoms are associated with persistent differences in precentral volume and affect the brain volumetric development of complex sensory information processing regions, rather than in emotion regulation areas implicated in the depression experience. Our findings emphasize repeated childhood imaging to understand child brain development risk factors.

{"title":"Maternal depressive symptoms in childhood and offspring brain cortical and subcortical volumetric change: A repeated imaging study from age 4–10 years","authors":"Yuna Koyama , Ai Peng Tan , Ekaterina Sadikova , Peipei Setoh , Birit Broekman , Juan Helen Zhou , Peter Gluckman , Helen Chen , Henning Tiemeier","doi":"10.1016/j.dcn.2025.101531","DOIUrl":"10.1016/j.dcn.2025.101531","url":null,"abstract":"<div><div>Maternal depressive symptoms have been associated with offspring’s brain structural differences. However, previous studies were limited by cross-sectional designs, brain region-of-interest analyses, or clinical samples. Importantly, few studies assessed the early childhood brain. This study analyzed data from a Singaporean cohort of 217 children with 589 repeated structural neuroimaging from 4.5 to 10.5 years (2–4 assessments) in relation to maternal depressive symptoms. Maternal depressive symptoms were measured by questionnaire at child age 4.5 years. Mixed models explored within-sample change accounting for non-linear brain development. Multiple testing was corrected, and a stringent threshold was applied. Maternal depressive symptoms were associated with persistently smaller precentral gyral volume over time (β = −0.162 [-0.238; −0.086], p<sub>adj</sub> < 0.001). In analysis with time interaction, maternal symptoms were associated with curvilinear changes in the volumes of supramarginal (β = −0.019 [-0.027; −0.010], p<sub>adj</sub> < 0.001) and precuneus gyrus (β = −0.016 [-0.025; −0.007], p<sub>adj</sub> = 0.007); this suggests delayed volumetric development in brain areas governing attention, memory, and language among children exposed to severe maternal symptoms. The findings implicate that childhood maternal depressive symptoms are associated with persistent differences in precentral volume and affect the brain volumetric development of complex sensory information processing regions, rather than in emotion regulation areas implicated in the depression experience. Our findings emphasize repeated childhood imaging to understand child brain development risk factors.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"72 ","pages":"Article 101531"},"PeriodicalIF":4.6,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419119","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}

引用次数: 0

Socioeconomic status and adolescents’ risk-taking behavior: No longitudinal link or differences by neurobiological activation when anticipating social rewards

IF 4.6 2区医学 Q1 NEUROSCIENCES

Developmental Cognitive Neuroscience

Pub Date : 2025-02-14 DOI: 10.1016/j.dcn.2025.101530

Emma Armstrong-Carter , Seh-Joo Kwon , Nathan A. Jorgensen , Mitchell J. Prinstein , Kristen A. Lindquist , Eva H. Telzer

This longitudinal, preregistered study investigated the hypothesis that adolescents who are raised in socioeconomic adversity engage in relatively more health-compromising risk-taking behavior during years when they show relatively heightened anticipation to social rewards. We operationalized this on a neurobiological level as activity of the ventral striatum, a region of the brain that is involved in social reward processing. A sample of 170 racially and socioeconomically diverse adolescents (12_years at Wave 1, 53 % women, 35 % Latine, 29 % White, 22 % Black) completed annual assessments for up to five years, yielding 478 total observations. During annual fMRI scans, adolescents completed a Social Incentive Delay task during which we measured activation of the ventral striatum in response to anticipating social rewards relative to social punishments. Adolescents also self-reported risk-taking behavior annually, and we linked measures of baseline socioeconomic status via parent report and neighborhood census data. Our preregistered hypotheses were not supported; baseline socioeconomic status was not associated significantly with risk-taking behavior, even during years when adolescents were more attuned to social rewards. Sensitivity analyses examined the role of the anterior insula and amygdala and also yielded null results. Adolescents’ risk-taking behavior may not be as closely linked to socioeconomic status or social reward activation as previously hypothesized.

{"title":"Socioeconomic status and adolescents’ risk-taking behavior: No longitudinal link or differences by neurobiological activation when anticipating social rewards","authors":"Emma Armstrong-Carter , Seh-Joo Kwon , Nathan A. Jorgensen , Mitchell J. Prinstein , Kristen A. Lindquist , Eva H. Telzer","doi":"10.1016/j.dcn.2025.101530","DOIUrl":"10.1016/j.dcn.2025.101530","url":null,"abstract":"<div><div>This longitudinal, preregistered study investigated the hypothesis that adolescents who are raised in socioeconomic adversity engage in relatively more health-compromising risk-taking behavior during years when they show relatively heightened anticipation to social rewards. We operationalized this on a neurobiological level as activity of the ventral striatum, a region of the brain that is involved in social reward processing. A sample of 170 racially and socioeconomically diverse adolescents (12<sub>years</sub> at Wave 1, 53 % women, 35 % Latine, 29 % White, 22 % Black) completed annual assessments for up to five years, yielding 478 total observations. During annual fMRI scans, adolescents completed a Social Incentive Delay task during which we measured activation of the ventral striatum in response to anticipating social rewards relative to social punishments. Adolescents also self-reported risk-taking behavior annually, and we linked measures of baseline socioeconomic status via parent report and neighborhood census data. Our preregistered hypotheses were not supported; baseline socioeconomic status was not associated significantly with risk-taking behavior, even during years when adolescents were more attuned to social rewards. Sensitivity analyses examined the role of the anterior insula and amygdala and also yielded null results. Adolescents’ risk-taking behavior may not be as closely linked to socioeconomic status or social reward activation as previously hypothesized.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"72 ","pages":"Article 101530"},"PeriodicalIF":4.6,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512199","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}

引用次数: 0

The structural covariance of reading-related brain regions in adults and children with typical or poor reading skills

IF 4.6 2区医学 Q1 NEUROSCIENCES

Developmental Cognitive Neuroscience

Pub Date : 2025-02-12 DOI: 10.1016/j.dcn.2025.101522

Amelie Haugg , Nada Frei , Christina Lutz , Sarah V. Di Pietro , Iliana I. Karipidis , Silvia Brem

Structural covariance (SC) is a promising approach for studying brain organization in the context of literacy and developmental disorders, offering insights into both structural and functional underpinnings and potential experience-dependent co-development of functional brain networks. Here, we explore the influence of maturation and reading skill on SC in reading-related brain regions. Whole-brain SC analyses were conducted for six key regions of the reading network, including an anterior and posterior subdivision of the visual word form area (VWFA). To study maturational effects, SC was compared between typical-reading adults (N = 134, 25.3 ± 4 yrs) and children (N = 110, 9.6 ± 1.6 yrs). The impact of reading skills on SC was assessed by comparing typical-reading children (N = 110, 9.6 ± 1.6 yrs) to children with poor reading skills (N = 68, 10.2 ± 1.4 yrs). Our results showed significant SC between reading-related brain regions in typical-reading adults. Further, we observed significant SC between the posterior VWFA and the occipital cortex, and between the anterior VWFA and the superior temporal and inferior frontal gyri. There was no indication of a major change in SC within the reading network related to maturation. However, we observed higher SC between the inferior parietal lobule and other reading-related brain regions in children with typical compared to poor reading skills.

{"title":"The structural covariance of reading-related brain regions in adults and children with typical or poor reading skills","authors":"Amelie Haugg , Nada Frei , Christina Lutz , Sarah V. Di Pietro , Iliana I. Karipidis , Silvia Brem","doi":"10.1016/j.dcn.2025.101522","DOIUrl":"10.1016/j.dcn.2025.101522","url":null,"abstract":"<div><div>Structural covariance (SC) is a promising approach for studying brain organization in the context of literacy and developmental disorders, offering insights into both structural and functional underpinnings and potential experience-dependent co-development of functional brain networks. Here, we explore the influence of maturation and reading skill on SC in reading-related brain regions. Whole-brain SC analyses were conducted for six key regions of the reading network, including an anterior and posterior subdivision of the visual word form area (VWFA). To study maturational effects, SC was compared between typical-reading adults (N = 134, 25.3 ± 4 yrs) and children (N = 110, 9.6 ± 1.6 yrs). The impact of reading skills on SC was assessed by comparing typical-reading children (N = 110, 9.6 ± 1.6 yrs) to children with poor reading skills (N = 68, 10.2 ± 1.4 yrs). Our results showed significant SC between reading-related brain regions in typical-reading adults. Further, we observed significant SC between the posterior VWFA and the occipital cortex, and between the anterior VWFA and the superior temporal and inferior frontal gyri. There was no indication of a major change in SC within the reading network related to maturation. However, we observed higher SC between the inferior parietal lobule and other reading-related brain regions in children with typical compared to poor reading skills.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"72 ","pages":"Article 101522"},"PeriodicalIF":4.6,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444534","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}

引用次数: 0

下一页尾页

类型

全部化学•材料生命科学医学物理工程技术环境•农林材料科学地球科学法学管理学化学环境科学与生态学计算机科学教育学经济学农林科学人文科学生物学数学物理与天体物理心理学综合性期刊其他工业工程理学历史学农学文学信息工程

数据库

全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley

期刊

Developmental Cognitive Neuroscience

全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.

﹀