Pub Date : 2025-01-01DOI: 10.1016/j.dcn.2024.101503
Elizabeth E.L. Buimer , Pascal Pas , Carlijn van den Boomen , Mathijs Raemaekers , Rachel M. Brouwer , Hilleke E. Hulshoff Pol
Identification of facial expressions is important to navigate social interactions and associates with developmental outcomes. It is presumed that social competence, behavioral emotion labeling and neural emotional face processing are related, but this has rarely been studied. Here, we investigated these interrelations and their associations with age and sex, in the YOUth cohort (1055 children, 8–11 years old). Using a multistep linear modelling approach, we associated parent-reported social competence, basic emotion labeling skills based on pictures of facial expressions, and neural facial emotion processing during a passive-watching fMRI task with pictures of houses and emotional faces. Results showed better emotion labeling and higher social competence for girls compared to boys. Age was positively associated with emotion labeling skills and specific social competence subscales. These age- and sex-differences were not reflected in brain function. During fMRI, happy faces elicited more activity than neutral or fearful faces. However, we did not find evidence for the hypothesized links between social competence and behavioral emotion labeling, and with neural activity. To conclude, in pre-adolescents, social competence and emotion labeling varied with age and sex, while social competence, emotion labeling and neural processing of emotional faces were not associated with each other.
{"title":"Age- and sex-related differences in social competence and emotion labeling in pre-adolescence","authors":"Elizabeth E.L. Buimer , Pascal Pas , Carlijn van den Boomen , Mathijs Raemaekers , Rachel M. Brouwer , Hilleke E. Hulshoff Pol","doi":"10.1016/j.dcn.2024.101503","DOIUrl":"10.1016/j.dcn.2024.101503","url":null,"abstract":"<div><div>Identification of facial expressions is important to navigate social interactions and associates with developmental outcomes. It is presumed that social competence, behavioral emotion labeling and neural emotional face processing are related, but this has rarely been studied. Here, we investigated these interrelations and their associations with age and sex, in the YOUth cohort (1055 children, 8–11 years old). Using a multistep linear modelling approach, we associated parent-reported social competence, basic emotion labeling skills based on pictures of facial expressions, and neural facial emotion processing during a passive-watching fMRI task with pictures of houses and emotional faces. Results showed better emotion labeling and higher social competence for girls compared to boys. Age was positively associated with emotion labeling skills and specific social competence subscales. These age- and sex-differences were not reflected in brain function. During fMRI, happy faces elicited more activity than neutral or fearful faces. However, we did not find evidence for the hypothesized links between social competence and behavioral emotion labeling, and with neural activity. To conclude, in pre-adolescents, social competence and emotion labeling varied with age and sex, while social competence, emotion labeling and neural processing of emotional faces were not associated with each other.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"71 ","pages":"Article 101503"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11743816/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142903845","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}
Pub Date : 2025-01-01DOI: 10.1016/j.dcn.2024.101502
Silvia Rigato , Manuela Stets , Henrik Dvergsdal , Karla Holmboe
It is well established that faces evoke a distinct neural response in the adult and infant brain. Past research has focused on how the infant face-sensitive ERP components (N290, P400, Nc) reflect different aspects of face processing, however there is still a lack of understanding of how these components reflect face familiarity and how they change over time. Further, there are only a few studies on whether these neural responses correlate with other aspects of development, such as infant temperament. In this longitudinal study (N∼60), we recorded infant visual ERPs in response to mother and stranger face stimuli at 4, 6 and 9 months of age. Our results showed that, compared to a stranger face, the mother face evoked a larger N290 at 4 months and a larger P400 at 6 months. At 9 months, no difference was found between mother and stranger faces. However, at 9 months we found that the P400 and Nc amplitudes evoked by the mother face were associated with infant falling reactivity. We conclude that the neural responses associated with the processing of faces, and specifically the face of the mother, are related to the development of infant individual characteristics.
{"title":"Infant neural processing of mother’s face is associated with falling reactivity in the first year of life","authors":"Silvia Rigato , Manuela Stets , Henrik Dvergsdal , Karla Holmboe","doi":"10.1016/j.dcn.2024.101502","DOIUrl":"10.1016/j.dcn.2024.101502","url":null,"abstract":"<div><div>It is well established that faces evoke a distinct neural response in the adult and infant brain. Past research has focused on how the infant face-sensitive ERP components (N290, P400, Nc) reflect different aspects of face processing, however there is still a lack of understanding of how these components reflect face familiarity and how they change over time. Further, there are only a few studies on whether these neural responses correlate with other aspects of development, such as infant temperament. In this longitudinal study (N∼60), we recorded infant visual ERPs in response to mother and stranger face stimuli at 4, 6 and 9 months of age. Our results showed that, compared to a stranger face, the mother face evoked a larger N290 at 4 months and a larger P400 at 6 months. At 9 months, no difference was found between mother and stranger faces. However, at 9 months we found that the P400 and Nc amplitudes evoked by the mother face were associated with infant falling reactivity. We conclude that the neural responses associated with the processing of faces, and specifically the face of the mother, are related to the development of infant individual characteristics.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"71 ","pages":"Article 101502"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11780142/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142957533","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}
Pub Date : 2025-01-01DOI: 10.1016/j.dcn.2024.101495
Florence Hilliard , Holly Horan , Aleksandra E. Zgierska , Renee C. Edwards , HBCD Study Navigator Workgroup
The HEALthy Brain and Child Development (HBCD) Study, a multi-site prospective longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. The goal is to recruit over 7000 caregiver-child dyads across the United States, with 25 % of the study population comprising children exposed in utero to substances to better understanding the effects of prenatal substance exposure on fetal and child development. However, barriers of mistrust for pregnant persons who are substance involved can create challenges to recruiting and retaining this population. The HBCD Study is utilizing a novel approach in research, the inclusion of support professionals (i.e. study navigators) as research team members to boost recruitment, engagement, and retention in this population and other marginalized and underrepresented groups. This article describes the conceptualization and early implementation of a support model utilizing certified peer support specialists, and the evolution to a broader study navigator model (SNM). Core skills, training, and support necessary for integrating such support professionals onto the research team are outlined. A reflection on challenges and next steps describes how the early implementation of the SNM encourages a paradigm shift in longitudinal research that humanizes and centers the participants.
{"title":"Establishing a model of peer support for pregnant persons with a substance use disorder as an innovative approach for engaging participants in the healthy brain and child development study","authors":"Florence Hilliard , Holly Horan , Aleksandra E. Zgierska , Renee C. Edwards , HBCD Study Navigator Workgroup","doi":"10.1016/j.dcn.2024.101495","DOIUrl":"10.1016/j.dcn.2024.101495","url":null,"abstract":"<div><div>The HEALthy Brain and Child Development (HBCD) Study, a multi-site prospective longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. The goal is to recruit over 7000 caregiver-child dyads across the United States, with 25 % of the study population comprising children exposed in utero to substances to better understanding the effects of prenatal substance exposure on fetal and child development. However, barriers of mistrust for pregnant persons who are substance involved can create challenges to recruiting and retaining this population. The HBCD Study is utilizing a novel approach in research, the inclusion of support professionals (i.e. study navigators) as research team members to boost recruitment, engagement, and retention in this population and other marginalized and underrepresented groups. This article describes the conceptualization and early implementation of a support model utilizing certified peer support specialists, and the evolution to a broader study navigator model (SNM). Core skills, training, and support necessary for integrating such support professionals onto the research team are outlined. A reflection on challenges and next steps describes how the early implementation of the SNM encourages a paradigm shift in longitudinal research that humanizes and centers the participants.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"71 ","pages":"Article 101495"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11729690/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142877700","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}
Pub Date : 2025-01-01DOI: 10.1016/j.dcn.2024.101496
Zhiyong Zhao , Ruolin Li , Yihan Wu , Mingyang Li , Dan Wu
Although recent studies have consistently reported the emergence of resting-state networks in early infancy, the changes in inter-network functional connectivity with age are controversial and the alterations in its dynamics remain unclear at this stage. This study aimed to investigate dynamic functional network connectivity (dFNC) using resting-state functional MRI in 244 full-term (age: 37–44 weeks) and 36 preterm infants (age: 37–43 weeks) from the dHCP dataset. We evaluated whether early dFNC exhibits age-dependent changes and is influenced by preterm birth. Gestational age (GA) and postnatal age (PNA) showed different effects on variance of FNC change over time during fMRI scan in resting-state networks, especially among high-order association networks. These variances were significantly reduced by preterm birth. Moreover, two states of weakly-connected (State Ⅰ) and strongly-connected (State Ⅱ) FNC were identified. The fraction window and dwell time in State Ⅰ, and the transition from State Ⅱ to State Ⅰ, all showed significantly negative correlations with both GA and PNA. Preterm-born infants spent a longer time in the weakly-connected state compared to term-born infants. These findings suggest a state-dependent development of dynamic FNC across brain networks in the early stages, gradually reconfiguring towards a more flexible and dynamic system with stronger connections.
{"title":"State-dependent inter-network functional connectivity development in neonatal brain from the developing human connectome project","authors":"Zhiyong Zhao , Ruolin Li , Yihan Wu , Mingyang Li , Dan Wu","doi":"10.1016/j.dcn.2024.101496","DOIUrl":"10.1016/j.dcn.2024.101496","url":null,"abstract":"<div><div>Although recent studies have consistently reported the emergence of resting-state networks in early infancy, the changes in inter-network functional connectivity with age are controversial and the alterations in its dynamics remain unclear at this stage. This study aimed to investigate dynamic functional network connectivity (dFNC) using resting-state functional MRI in 244 full-term (age: 37–44 weeks) and 36 preterm infants (age: 37–43 weeks) from the dHCP dataset. We evaluated whether early dFNC exhibits age-dependent changes and is influenced by preterm birth. Gestational age (GA) and postnatal age (PNA) showed different effects on variance of FNC change over time during fMRI scan in resting-state networks, especially among high-order association networks. These variances were significantly reduced by preterm birth. Moreover, two states of weakly-connected (State Ⅰ) and strongly-connected (State Ⅱ) FNC were identified. The fraction window and dwell time in State Ⅰ, and the transition from State Ⅱ to State Ⅰ, all showed significantly negative correlations with both GA and PNA. Preterm-born infants spent a longer time in the weakly-connected state compared to term-born infants. These findings suggest a state-dependent development of dynamic FNC across brain networks in the early stages, gradually reconfiguring towards a more flexible and dynamic system with stronger connections.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"71 ","pages":"Article 101496"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11720898/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142865798","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}
Pub Date : 2025-01-01DOI: 10.1016/j.dcn.2024.101482
Ellen C. Roche, Elizabeth Redcay, Rachel R. Romeo
Young children transition in and out of synchronous states with their caregivers across physiology, behavior, and brain activity, but what do these synchronous periods mean? One body of two-brain studies using functional near-infrared spectroscopy (fNIRS) finds that individual, family, and moment-to-moment behavioral and contextual factors are associated with caregiver-child neural synchrony, while another body of literature finds that neural synchrony is associated with positive child outcomes. Taken together, it is tempting to conclude that caregiver-child neural synchrony may act as a foundational developmental mechanism linking children’s experiences to their healthy development, but many questions remain. In this review, we synthesize recent findings and open questions from caregiver-child studies using fNIRS, which is uniquely well suited for use with caregivers and children, but also laden with unique constraints. Throughout, we highlight open questions alongside best practices for optimizing two-brain fNIRS to examine hypothesized developmental mechanisms. We particularly emphasize the need to consider immediate and global stressors as context for interpretation of neural synchrony findings, and the need for full inclusion of socioeconomically and racially diverse families in future studies.
{"title":"Caregiver-child neural synchrony: Magic, mirage, or developmental mechanism?","authors":"Ellen C. Roche, Elizabeth Redcay, Rachel R. Romeo","doi":"10.1016/j.dcn.2024.101482","DOIUrl":"10.1016/j.dcn.2024.101482","url":null,"abstract":"<div><div>Young children transition in and out of synchronous states with their caregivers across physiology, behavior, and brain activity, but what do these synchronous periods mean? One body of two-brain studies using functional near-infrared spectroscopy (fNIRS) finds that individual, family, and moment-to-moment behavioral and contextual factors are associated with caregiver-child neural synchrony, while another body of literature finds that neural synchrony is associated with positive child outcomes. Taken together, it is tempting to conclude that caregiver-child neural synchrony may act as a foundational developmental mechanism linking children’s experiences to their healthy development, but many questions remain. In this review, we synthesize recent findings and open questions from caregiver-child studies using fNIRS, which is uniquely well suited for use with caregivers and children, but also laden with unique constraints. Throughout, we highlight open questions alongside best practices for optimizing two-brain fNIRS to examine hypothesized developmental mechanisms. We particularly emphasize the need to consider immediate and global stressors as context for interpretation of neural synchrony findings, and the need for full inclusion of socioeconomically and racially diverse families in future studies.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"71 ","pages":"Article 101482"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11720112/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142856287","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}
Pub Date : 2025-01-01DOI: 10.1016/j.dcn.2024.101497
MR Gonzalez , C Cardenas-Iniguez , DE Linares , S Wonnum , K Bagot , EJ White , A Cuan , S DiMatteo , YD Akiel , P Lindsley , JC Harris , E Perez-Amparan , TD Powell , Comité Organizador Latino de City Heights (COLCH) , G Dowling , D Alkire , WK Thompson , TM Murray
Purpose
The Adolescent Brain Cognitive DevelopmentSM (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.
Design Methods
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.
Results
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.
Conclusion
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.
{"title":"Responsible research in health disparities using the Adolescent Brain Cognitive DevelopmentSM (ABCD) study","authors":"MR Gonzalez , C Cardenas-Iniguez , DE Linares , S Wonnum , K Bagot , EJ White , A Cuan , S DiMatteo , YD Akiel , P Lindsley , JC Harris , E Perez-Amparan , TD Powell , Comité Organizador Latino de City Heights (COLCH) , G Dowling , D Alkire , WK Thompson , 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<sup>SM</sup> (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}
Pub Date : 2025-01-01DOI: 10.1016/j.dcn.2024.101481
Claudia A. Carreno , Megan E. Evans , Blakely K. Lockhart , Oziomachukwu Chinaka , Benjamin Katz , Martha Ann Bell , Brittany R. Howell
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.
{"title":"Optimizing infant neuroimaging methods to understand the neurodevelopmental impacts of early nutrition and feeding","authors":"Claudia A. Carreno , Megan E. Evans , Blakely K. Lockhart , Oziomachukwu Chinaka , Benjamin Katz , Martha Ann Bell , 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}
Pub Date : 2025-01-01DOI: 10.1016/j.dcn.2024.101487
Kimberley Whitehead
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 during 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.
{"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}
Pub Date : 2025-01-01DOI: 10.1016/j.dcn.2024.101494
Kelly K. Gurka , Heather H. Burris , Lucia Ciciolla , Claire D. Coles , Suena H. Massey , Sharlene Newman , Vidya Rajagopalan , Lynne M. Smith , Anna Zilverstand , Gretchen Bandoli , The HBCD Pregnancy Exposures, Including Substances Workgroup
The Healthy Brain and Child Development (HBCD) Study, a multi-site, prospective, longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. Prenatal exposures, including substances of abuse, impact fetal development and have effects across the life course. During the development of the HBCD Study, the Pregnancy Exposures, Including Substances Workgroup (WG-PRG) was charged with characterizing maternal health and behavior during pregnancy into the childhood years. Maternal physical and mental health, including substance use, and pregnancy and birth complications and outcomes were prioritized. Pregnancy, chronic and acute health conditions, family mental health, and healthcare utilization were assessed using existing and novel measures. Maternal mental health was assessed with the Edinburgh Postpartum Depression Scale, select items in the DSM-5 Self-Rated Level-1 and −2 Cross-Cutting Symptom Measures, and the National Stressful Events Survey-PTSD Short Scale. Finally, participants reported lifetime, recent, and current use of substances using a modified-ASSIST during pregnancy and postpartum. Quantities and frequencies of reported substances were collected for select periods prior to and during pregnancy through an interview (or web application) using the timeline-followback method. HBCD will advance our understanding of the impact of the intrauterine environment on early development.
{"title":"Assessment of maternal health and behavior during pregnancy in the HEALthy Brain and Child Development Study: Rationale and approach","authors":"Kelly K. Gurka , Heather H. Burris , Lucia Ciciolla , Claire D. Coles , Suena H. Massey , Sharlene Newman , Vidya Rajagopalan , Lynne M. Smith , Anna Zilverstand , Gretchen Bandoli , The HBCD Pregnancy Exposures, Including Substances Workgroup","doi":"10.1016/j.dcn.2024.101494","DOIUrl":"10.1016/j.dcn.2024.101494","url":null,"abstract":"<div><div>The Healthy Brain and Child Development (HBCD) Study, a multi-site, prospective, longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. Prenatal exposures, including substances of abuse, impact fetal development and have effects across the life course. During the development of the HBCD Study, the Pregnancy Exposures, Including Substances Workgroup (WG-PRG) was charged with characterizing maternal health and behavior during pregnancy into the childhood years. Maternal physical and mental health, including substance use, and pregnancy and birth complications and outcomes were prioritized. Pregnancy, chronic and acute health conditions, family mental health, and healthcare utilization were assessed using existing and novel measures. Maternal mental health was assessed with the Edinburgh Postpartum Depression Scale, select items in the DSM-5 Self-Rated Level-1 and −2 Cross-Cutting Symptom Measures, and the National Stressful Events Survey-PTSD Short Scale. Finally, participants reported lifetime, recent, and current use of substances using a modified-ASSIST during pregnancy and postpartum. Quantities and frequencies of reported substances were collected for select periods prior to and during pregnancy through an interview (or web application) using the timeline-followback method. HBCD will advance our understanding of the impact of the intrauterine environment on early development.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"71 ","pages":"Article 101494"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143141029","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}
Pub Date : 2025-01-01DOI: 10.1016/j.dcn.2024.101483
Shi Yu Chan , Jasmine Si Min Chuah , Pei Huang , Ai Peng Tan
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.
自闭症谱系障碍(ASD)在表现上是高度异质性的。虽然在自闭症男性中一直观察到大脑功能连接异常,但自闭症症状不同领域的神经生物学基础尚不清楚。在这项研究中,我们评估了功能连接偏差的个体差异是否映射到ASD男性的社会行为。利用自闭症脑成像数据交换(Autism Brain Imaging data Exchange,简称ABIDE)的神经成像数据,我们对非asd男性儿童时期(n = 321)的网络间静息状态功能连接(rsFC)的规范轨迹进行了建模。然后将这些标准图表应用于ASD男性(n = 418),以计算反映rsFC非典型程度的个体偏差分数(z分数)。默认模式网络(DMN)、腹侧注意网络(VAN)、额顶叶网络(FPN)和躯体运动网络(SMN)之间的rsFC模式偏差与社会行为的不同维度相关。认知灵活性和工作记忆在VANxDMN z-得分与社会行为问题之间起中介作用。我们的研究结果强调了规范模型在个体水平上识别非典型大脑连接的潜力,揭示了与ASD社会行为问题相关的神经生物学模式,这对精确诊断和干预至关重要。通过瞄准认知灵活性和工作记忆,ASD男性的社会结果可能会得到改善。
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