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Bagdasarov A, Brunet D, Michel CM, Gaffrey MS. Microstate Analysis of Continuous Infant EEG: Tutorial and Reliability. Brain Topogr 2024; 37:496-513. [PMID: 38430283 PMCID: PMC11199263 DOI: 10.1007/s10548-024-01043-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 02/16/2024] [Indexed: 03/03/2024]
Abstract
Microstate analysis of resting-state EEG is a unique data-driven method for identifying patterns of scalp potential topographies, or microstates, that reflect stable but transient periods of synchronized neural activity evolving dynamically over time. During infancy - a critical period of rapid brain development and plasticity - microstate analysis offers a unique opportunity for characterizing the spatial and temporal dynamics of brain activity. However, whether measurements derived from this approach (e.g., temporal properties, transition probabilities, neural sources) show strong psychometric properties (i.e., reliability) during infancy is unknown and key information for advancing our understanding of how microstates are shaped by early life experiences and whether they relate to individual differences in infant abilities. A lack of methodological resources for performing microstate analysis of infant EEG has further hindered adoption of this cutting-edge approach by infant researchers. As a result, in the current study, we systematically addressed these knowledge gaps and report that most microstate-based measurements of brain organization and functioning except for transition probabilities were stable with four minutes of video-watching resting-state data and highly internally consistent with just one minute. In addition to these results, we provide a step-by-step tutorial, accompanying website, and open-access data for performing microstate analysis using a free, user-friendly software called Cartool. Taken together, the current study supports the reliability and feasibility of using EEG microstate analysis to study infant brain development and increases the accessibility of this approach for the field of developmental neuroscience.
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Affiliation(s)
- Armen Bagdasarov
- Department of Psychology & Neuroscience, Duke University, Reuben-Cooke Building, 417 Chapel Drive, Durham, NC, 27708, USA.
| | - Denis Brunet
- Department of Basic Neurosciences, University of Geneva, Campus Biotech, 9 Chemin des Mines, Geneva, 1202, Switzerland
- Center for Biomedical Imaging (CIBM) Lausanne, EPFL AVP CP CIBM Station 6, Lausanne, 1015, Switzerland
| | - Christoph M Michel
- Department of Basic Neurosciences, University of Geneva, Campus Biotech, 9 Chemin des Mines, Geneva, 1202, Switzerland
- Center for Biomedical Imaging (CIBM) Lausanne, EPFL AVP CP CIBM Station 6, Lausanne, 1015, Switzerland
| | - Michael S Gaffrey
- Department of Psychology & Neuroscience, Duke University, Reuben-Cooke Building, 417 Chapel Drive, Durham, NC, 27708, USA
- Children's Wisconsin, 9000 W. Wisconsin Avenue, Milwaukee, WI, 53226, USA
- Medical College of Wisconsin, Division of Pediatric Psychology and Developmental Medicine, Department of Pediatrics, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA
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2
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Johnson MH, Fearon P, Pickles A, Jones EJH. Editorial Perspective: The paradox of precision health in early development - building large samples to yield individual-level measures. J Child Psychol Psychiatry 2024; 65:991-994. [PMID: 38433119 DOI: 10.1111/jcpp.13974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/18/2024] [Indexed: 03/05/2024]
Abstract
Precision health refers to the use of individualised biomarkers or predictive models to provide more tailored information about an individual's likely prognosis. For child psychiatry and psychology, we argue that this approach requires a focus on neurocognitive measures collected in early life and at large scale. However, the large sample sizes necessary to uncover individual-level predictors are currently rare in studies of neurodevelopmental conditions in early childhood. We recommend two strategies going forward: first, including neurocognitive measures in new national cohort studies, and second, synergising measures and data across currently funded longitudinal studies.
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Affiliation(s)
- Mark H Johnson
- Department of Psychology, University of Cambridge, Cambridge, UK
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, UK
| | - Pasco Fearon
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - Andrew Pickles
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Emily J H Jones
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, UK
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3
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Parsons S, McCormick EM. Limitations of two time point data for understanding individual differences in longitudinal modeling - What can difference reveal about change? Dev Cogn Neurosci 2024; 66:101353. [PMID: 38335910 PMCID: PMC10864828 DOI: 10.1016/j.dcn.2024.101353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 01/13/2024] [Accepted: 02/01/2024] [Indexed: 02/12/2024] Open
Abstract
Emerging neuroimaging studies investigating changes in the brain aim to collect sufficient data points to examine trajectories of change across key developmental periods. Yet, current studies are often constrained by the number of time points available now. We demonstrate that these constraints should be taken seriously and that studies with two time points should focus on particular questions (e.g., group-level or intervention effects), while complex questions of individual differences and investigations into causes and consequences of those differences should be deferred until additional time points can be incorporated into models of change. We generated underlying longitudinal data and fit models with 2, 3, 4, and 5 time points across 1000 samples. While fixed effects could be recovered on average even with few time points, recovery of individual differences was particularly poor for the two time point model, correlating at r = 0.41 with the true individual parameters - meaning these scores share only 16.8% of variance As expected, models with more time points recovered the growth parameter more accurately; yet parameter recovery for the three time point model was still low, correlating around r = 0.57. We argue that preliminary analyses on early subsets of time points in longitudinal analyses should focus on these average or group-level effects and that individual difference questions should be addressed in samples that maximize the number of time points available. We conclude with recommendations for researchers using early time point models, including ideas for preregistration, careful interpretation of 2 time point results, and treating longitudinal analyses as dynamic, where early findings are updated as additional information becomes available.
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Affiliation(s)
- Sam Parsons
- Cognitive Neuroscience Department, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ethan M McCormick
- Cognitive Neuroscience Department, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands; Methodology & Statistics Department, Institute of Psychology, Leiden University, Leiden, The Netherlands.
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4
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Portengen CM, Junge CMM, van Baar AL, Endendijk JJ. Women are expected to smile: Preliminary evidence for the role of gender in the neurophysiological processing of adult emotional faces in 3-year-old children. Dev Psychobiol 2024; 66:e22443. [PMID: 38131242 DOI: 10.1002/dev.22443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 08/23/2023] [Accepted: 11/06/2023] [Indexed: 12/23/2023]
Abstract
Children form stereotyped expectations about the appropriateness of certain emotions for men versus women during the preschool years, based on cues from their social environments. Although ample research has examined the development of gender stereotypes in children, little is known about the neural responses that underlie the processing of gender-stereotyped emotions in children. Therefore, the current study examined whether 3-year-olds differ in the neural processing of emotional stimuli that violate gender stereotypes (i.e., male faces with fearful or happy expressions) or confirm gender stereotypes (i.e., female faces with fearful or happy expressions), and whether boys and girls differ in their neural processing of the violation and confirmation of gender stereotypes. Data from 72 3-year-olds (±6 months, 43% boy) were obtained from the YOUth Cohort Study. Electroencephalography data were obtained when children passively viewed male and female faces displaying neutral, happy, or fearful facial expressions. This study provided first indications that happy male faces elicited larger P1 amplitudes than happy female faces in preschool children, which might reflect increased attentional processing of stimuli that violate gender stereotypes. Moreover, there was preliminary evidence that girls had larger negative central (Nc) responses, associated with salience processing, toward female happy faces than male happy faces, whereas boys had larger Nc responses toward male happy faces than female happy faces. No gender differences were found in the processing of neutral and fearful facial expressions. Our results indicate that electroencephalography measurements can provide insights into preschoolers' gender-stereotype knowledge about emotions, potentially by looking at the early occipital and late fronto-central responses.
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Affiliation(s)
- Christel M Portengen
- Child and Adolescent Studies, Clinical Child and Family Studies, Utrecht University, Utrecht, The Netherlands
| | | | - Anneloes L van Baar
- Child and Adolescent Studies, Clinical Child and Family Studies, Utrecht University, Utrecht, The Netherlands
| | - Joyce J Endendijk
- Child and Adolescent Studies, Clinical Child and Family Studies, Utrecht University, Utrecht, The Netherlands
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Infants' behaviours elicit different verbal, nonverbal, and multimodal responses from caregivers during early play. Infant Behav Dev 2023; 71:101828. [PMID: 36827720 DOI: 10.1016/j.infbeh.2023.101828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 02/03/2023] [Accepted: 02/16/2023] [Indexed: 02/25/2023]
Abstract
Caregivers use a range of verbal and nonverbal behaviours when responding to their infants. Previous studies have typically focused on the role of the caregiver in providing verbal responses, while communication is inherently multimodal (involving audio and visual information) and bidirectional (exchange of information between infant and caregiver). In this paper, we present a comprehensive study of caregivers' verbal, nonverbal, and multimodal responses to 10-month-old infants' vocalisations and gestures during free play. A new coding scheme was used to annotate 2036 infant vocalisations and gestures of which 87.1 % received a caregiver response. Most caregiver responses were verbal, but 39.7 % of all responses were multimodal. We also examined whether different infant behaviours elicited different responses from caregivers. Infant bimodal (i.e., vocal-gestural combination) behaviours elicited high rates of verbal responses and high rates of multimodal responses, while infant gestures elicited high rates of nonverbal responses. We also found that the types of verbal and nonverbal responses differed as a function of infant behaviour. The results indicate that infants influence the rates and types of responses they receive from caregivers. When examining caregiver-child interactions, analysing caregivers' verbal responses alone undermines the multimodal richness and bidirectionality of early communication.
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Buzzell GA, Morales S, Valadez EA, Hunnius S, Fox NA. Maximizing the potential of EEG as a developmental neuroscience tool. Dev Cogn Neurosci 2023; 60:101201. [PMID: 36732112 PMCID: PMC10150174 DOI: 10.1016/j.dcn.2023.101201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Affiliation(s)
- George A Buzzell
- Department of Psychology, Florida International University, USA; Center for Children and Families, Florida International University, USA.
| | - Santiago Morales
- Department of Psychology, University of Southern California, USA
| | - Emilio A Valadez
- Department of Human Development and Quantitative Methodology, University of Maryland - College Park, USA
| | - Sabine Hunnius
- Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Nathan A Fox
- Department of Human Development and Quantitative Methodology, University of Maryland - College Park, USA
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Caspi Y, de Zwarte SMC, Iemenschot IJ, Lumbreras R, de Heus R, Bekker MN, Hulshoff Pol H. Automatic measurements of fetal intracranial volume from 3D ultrasound scans. FRONTIERS IN NEUROIMAGING 2022; 1:996702. [PMID: 37555155 PMCID: PMC10406279 DOI: 10.3389/fnimg.2022.996702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 09/15/2022] [Indexed: 08/10/2023]
Abstract
Three-dimensional fetal ultrasound is commonly used to study the volumetric development of brain structures. To date, only a limited number of automatic procedures for delineating the intracranial volume exist. Hence, intracranial volume measurements from three-dimensional ultrasound images are predominantly performed manually. Here, we present and validate an automated tool to extract the intracranial volume from three-dimensional fetal ultrasound scans. The procedure is based on the registration of a brain model to a subject brain. The intracranial volume of the subject is measured by applying the inverse of the final transformation to an intracranial mask of the brain model. The automatic measurements showed a high correlation with manual delineation of the same subjects at two gestational ages, namely, around 20 and 30 weeks (linear fitting R2(20 weeks) = 0.88, R2(30 weeks) = 0.77; Intraclass Correlation Coefficients: 20 weeks=0.94, 30 weeks = 0.84). Overall, the automatic intracranial volumes were larger than the manually delineated ones (84 ± 16 vs. 76 ± 15 cm3; and 274 ± 35 vs. 237 ± 28 cm3), probably due to differences in cerebellum delineation. Notably, the automated measurements reproduced both the non-linear pattern of fetal brain growth and the increased inter-subject variability for older fetuses. By contrast, there was some disagreement between the manual and automatic delineation concerning the size of sexual dimorphism differences. The method presented here provides a relatively efficient way to delineate volumes of fetal brain structures like the intracranial volume automatically. It can be used as a research tool to investigate these structures in large cohorts, which will ultimately aid in understanding fetal structural human brain development.
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Affiliation(s)
- Yaron Caspi
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Sonja M. C. de Zwarte
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Iris J. Iemenschot
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Raquel Lumbreras
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Roel de Heus
- Department of Obstetrics and Gynaecology, St. Antonius Hospital, Utrecht, Netherlands
- Department of Obstetrics, University Medical Center Utrecht, Utrecht, Netherlands
| | - Mireille N. Bekker
- Department of Obstetrics, University Medical Center Utrecht, Utrecht, Netherlands
| | - Hilleke Hulshoff Pol
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
- Department of Psychology, Utrecht University, Utrecht, Netherlands
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The direct and indirect effects of parenting behaviors and functional brain network efficiency on self-regulation from infancy to early childhood: A longitudinal mediation model. Infant Behav Dev 2022; 69:101769. [DOI: 10.1016/j.infbeh.2022.101769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 06/30/2022] [Accepted: 08/31/2022] [Indexed: 11/24/2022]
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9
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Spit S, Mulder H, van Houdt C, Verhagen J. Can we predict non‐response in developmental tasks? Assessing the longitudinal relation between toddlers' non‐response and early academic skills. INFANT AND CHILD DEVELOPMENT 2022. [DOI: 10.1002/icd.2376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Sybren Spit
- Knowledge and Strategy Department Ministry of Education, Culture and Science The Hague The Netherlands
- Amsterdam Center for Language and Communication University of Amsterdam Amsterdam The Netherlands
| | - Hanna Mulder
- Department of Development & Education of Youth in Diverse Societies Utrecht University Utrecht The Netherlands
| | - Carolien van Houdt
- Department of Development & Education of Youth in Diverse Societies Utrecht University Utrecht The Netherlands
| | - Josje Verhagen
- Amsterdam Center for Language and Communication University of Amsterdam Amsterdam The Netherlands
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10
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Davis BR, Garza A, Church JA. Key considerations for child and adolescent MRI data collection. FRONTIERS IN NEUROIMAGING 2022; 1:981947. [PMID: 36312216 PMCID: PMC9615104 DOI: 10.3389/fnimg.2022.981947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 08/16/2022] [Indexed: 11/15/2022]
Abstract
Cognitive neuroimaging researchers' ability to infer accurate statistical conclusions from neuroimaging depends greatly on the quality of the data analyzed. This need for quality control is never more evident than when conducting neuroimaging studies with children and adolescents. Developmental neuroimaging requires patience, flexibility, adaptability, extra time, and effort. It also provides us a unique, non-invasive way to understand the development of cognitive processes, individual differences, and the changing relations between brain and behavior over the lifespan. In this discussion, we focus on collecting magnetic resonance imaging (MRI) data, as it is one of the more complex protocols used with children and youth. Through our extensive experience collecting MRI datasets with children and families, as well as a review of current best practices, we will cover three main topics to help neuroimaging researchers collect high-quality datasets. First, we review key recruitment and retention techniques, and note the importance for consistency and inclusion across groups. Second, we discuss ways to reduce scan anxiety for families and ways to increase scan success by describing the pre-screening process, use of a scanner simulator, and the need to focus on participant and family comfort. Finally, we outline several important design considerations in developmental neuroimaging such as asking a developmentally appropriate question, minimizing data loss, and the applicability of public datasets. Altogether, we hope this article serves as a useful tool for those wishing to enter or learn more about developmental cognitive neuroscience.
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Affiliation(s)
| | | | - Jessica A. Church
- Department of Psychology, The University of Texas at Austin, Austin, TX, United States
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11
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der Vlist MMNV, Hoefnagels JW, Dalmeijer GW, Moopen N, van der Ent CK, Swart JF, van de Putte EM, Nijhof SL. The PROactive cohort study: rationale, design, and study procedures. Eur J Epidemiol 2022; 37:993-1002. [PMID: 35980506 PMCID: PMC9385417 DOI: 10.1007/s10654-022-00889-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 06/13/2022] [Indexed: 11/30/2022]
Abstract
Children with a chronic condition face more obstacles than their healthy peers, which may impact their physical, social-emotional, and cognitive development. The PROactive cohort study identifies children with a chronic disease at high risk of debilitating fatigue, decreased daily life participation and psychosocial problems, as well as children who are resilient and thrive despite the challenges of growing up with a chronic condition. Both groups will teach us how we can best support children, adolescents and parents to adapt to and manage a disease, as well as tailor interventions to their specific needs. This cohort follows a continuous longitudinal design. It is based at the Wilhelmina Children’s Hospital (WKZ) in the Netherlands and has been running since December 2016. Children with a chronic condition (e.g. cystic fibrosis, juvenile idiopathic arthritis, chronic kidney disease, or congenital heart disease) as well children with medically unexplained fatigue or pain in a broad age range (2–18 years) are included, as well as their parent(s). Data are collected from parents (of children between 2 and 18 years) and children (8–18 years), as well as data from their electronic health record (EHR). Primary outcome measures are fatigue, daily life participation, and psychosocial well-being, all assessed via patient- and proxy-reported outcome measures. Generic biological/lifestyle, psychological, and social factors were assessed using clinical assessment tools and questionnaires. In the PROactive cohort study the research assessment is an integrated part of clinical care. Children are included when they visit the outpatient clinic and are followed up annually.
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Affiliation(s)
| | - Johanna W Hoefnagels
- Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands. .,Department of Paediatrics, Wilhelmina Children's Hospital, 133.1, PO Box 85090, 3508 AB, Utrecht, The Netherlands.
| | - Geertje W Dalmeijer
- Division management, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Neha Moopen
- Research Data Management Support, Utrecht University Library, Utrecht University, Utrecht, the Netherlands
| | - Cornelis K van der Ent
- Paediatric Rheumatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Joost F Swart
- Cystic Fibrosis Center, Department of Paediatric Respiratory Medicine, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Elise M van de Putte
- Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Sanne L Nijhof
- Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
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12
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Buimer EEL, Brouwer RM, Mandl RCW, Pas P, Schnack HG, Hulshoff Pol HE. Adverse childhood experiences and fronto-subcortical structures in the developing brain. Front Psychiatry 2022; 13:955871. [PMID: 36276329 PMCID: PMC9582338 DOI: 10.3389/fpsyt.2022.955871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
The impact of adverse childhood experiences (ACEs) differs between individuals and depends on the type and timing of the ACE. The aim of this study was to assess the relation between various recently occurred ACEs and morphology in the developing brain of children between 8 and 11 years of age. We measured subcortical volumes, cortical thickness, cortical surface area and fractional anisotropy in regions of interest in brain scans acquired in 1,184 children from the YOUth cohort. ACEs were based on parent-reports of recent experiences and included: financial problems; parental mental health problems; physical health problems in the family; substance abuse in the family; trouble with police, justice or child protective services; change in household composition; change in housing; bereavement; divorce or conflict in the family; exposure to violence in the family and bullying victimization. We ran separate linear models for each ACE and each brain measure. Results were adjusted for the false discovery rate across regions of interest. ACEs were reported for 83% of children in the past year. Children were on average exposed to two ACEs. Substance abuse in the household was associated with larger cortical surface area in the left superior frontal gyrus, t(781) = 3.724, p FDR = 0.0077, right superior frontal gyrus, t(781) = 3.409, p FDR = 0.0110, left pars triangularis, t(781) = 3.614, p FDR = 0.0077, left rostral middle frontal gyrus, t(781) = 3.163, p FDR = 0.0195 and right caudal anterior cingulate gyrus, t(781) = 2.918, p FDR = 0.0348. Household exposure to violence (was associated with lower fractional anisotropy in the left and right cingulum bundle hippocampus region t(697) = -3.154, p FDR = 0.0101 and t(697) = -3.401, p FDR = 0.0085, respectively. Lower household incomes were more prevalent when parents reported exposure to violence and the mean parental education in years was lower when parents reported substance abuse in the family. No other significant associations with brain structures were found. Longer intervals between adversity and brain measurements and longitudinal measurements may reveal whether more evidence for the impact of ACEs on brain development will emerge later in life.
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Affiliation(s)
- Elizabeth E L Buimer
- UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Rachel M Brouwer
- UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.,Department of Complex Trait Genetics, Centre for Neurogenomics and Cognitive Research, VU University Amsterdam, Amsterdam, Netherlands
| | - René C W Mandl
- UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Pascal Pas
- UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.,Experimental Psychology, Utrecht University, Utrecht, Netherlands
| | - Hugo G Schnack
- UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.,Department of Languages, Literature and Communication, Faculty of Humanities, Utrecht University, Utrecht, Netherlands
| | - Hilleke E Hulshoff Pol
- UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.,Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, Netherlands
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13
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Holleman GA, Hooge ITC, Huijding J, Deković M, Kemner C, Hessels RS. Gaze and speech behavior in parent–child interactions: The role of conflict and cooperation. CURRENT PSYCHOLOGY 2021. [DOI: 10.1007/s12144-021-02532-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
AbstractA primary mode of human social behavior is face-to-face interaction. In this study, we investigated the characteristics of gaze and its relation to speech behavior during video-mediated face-to-face interactions between parents and their preadolescent children. 81 parent–child dyads engaged in conversations about cooperative and conflictive family topics. We used a dual-eye tracking setup that is capable of concurrently recording eye movements, frontal video, and audio from two conversational partners. Our results show that children spoke more in the cooperation-scenario whereas parents spoke more in the conflict-scenario. Parents gazed slightly more at the eyes of their children in the conflict-scenario compared to the cooperation-scenario. Both parents and children looked more at the other's mouth region while listening compared to while speaking. Results are discussed in terms of the role that parents and children take during cooperative and conflictive interactions and how gaze behavior may support and coordinate such interactions.
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Chen LZ, Holmes AJ, Zuo XN, Dong Q. Neuroimaging brain growth charts: A road to mental health. PSYCHORADIOLOGY 2021; 1:272-286. [PMID: 35028568 PMCID: PMC8739332 DOI: 10.1093/psyrad/kkab022] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Revised: 12/03/2021] [Accepted: 12/17/2021] [Indexed: 12/30/2022]
Abstract
Mental disorders are common health concerns and contribute to a heavy global burden on our modern society. It is challenging to identify and treat them timely. Neuroimaging evidence suggests the incidence of various psychiatric and behavioral disorders is closely related to the atypical development of brain structure and function. The identification and understanding of atypical brain development provide chances for clinicians to detect mental disorders earlier, perhaps even prior to onset, and treat them more precisely. An invaluable and necessary method in identifying and monitoring atypical brain development are growth charts of typically developing individuals in the population. The brain growth charts can offer a series of standard references on typical neurodevelopment, representing an important resource for the scientific and medical communities. In the present paper, we review the relationship between mental disorders and atypical brain development from a perspective of normative brain development by surveying the recent progress in the development of brain growth charts, including four aspects on growth chart utility: 1) cohorts, 2) measures, 3) mechanisms, and 4) clinical translations. In doing so, we seek to clarify the challenges and opportunities in charting brain growth, and to promote the application of brain growth charts in clinical practice.
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Affiliation(s)
- Li-Zhen Chen
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
| | - Avram J Holmes
- Department of Psychology, Yale University, New Haven, CT 06511, USA
- Department of Psychiatry, Yale University, New Haven, CT 06511, USA
| | - Xi-Nian Zuo
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
- National Basic Science Data Center, Beijing 100190, China
- Developmental Population Neuroscience Research Center, International Data Group/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
- Research Center for Lifespan Development of Mind and Brain, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
| | - Qi Dong
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
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15
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Liu S, Wang YS, Zhang Q, Zhou Q, Cao LZ, Jiang C, Zhang Z, Yang N, Dong Q, Zuo XN. Chinese Color Nest Project : An accelerated longitudinal brain-mind cohort. Dev Cogn Neurosci 2021; 52:101020. [PMID: 34653938 PMCID: PMC8517840 DOI: 10.1016/j.dcn.2021.101020] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 10/02/2021] [Accepted: 10/07/2021] [Indexed: 12/12/2022] Open
Abstract
The ongoing Chinese Color Nest Project (CCNP) was established to create normative charts for brain structure and function across the human lifespan, and link age-related changes in brain imaging measures to psychological assessments of behavior, cognition, and emotion using an accelerated longitudinal design. In the initial stage, CCNP aims to recruit 1520 healthy individuals (6-90 years), which comprises three phases: developing (devCCNP: 6-18 years, N = 480), maturing (matCCNP: 20-60 years, N = 560) and aging (ageCCNP: 60-84 years, N = 480). In this paper, we present an overview of the devCCNP, including study design, participants, data collection and preliminary findings. The devCCNP has acquired data with three repeated measurements from 2013 to 2017 in Southwest University, Chongqing, China (CCNP-SWU, N = 201). It has been accumulating baseline data since July 2018 and the second wave data since September 2020 in Chinese Academy of Sciences, Beijing, China (CCNP-CAS, N = 168). Each participant in devCCNP was followed up for 2.5 years at 1.25-year intervals. The devCCNP obtained longitudinal neuroimaging, biophysical, social, behavioral and cognitive data via MRI, parent- and self-reported questionnaires, behavioral assessments, and computer tasks. Additionally, data were collected on children's learning, daily life and emotional states during the COVID-19 pandemic in 2020. We address data harmonization across the two sites and demonstrated its promise of characterizing the growth curves for the overall brain morphometry using multi-center longitudinal data. CCNP data will be shared via the National Science Data Bank and requests for further information on collaboration and data sharing are encouraged.
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Affiliation(s)
- Siman Liu
- Research Center for Lifespan Development of Mind and Brain, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yin-Shan Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Developmental Population Neuroscience Research Center, International Data Group/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Qing Zhang
- Research Center for Lifespan Development of Mind and Brain, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Quan Zhou
- Research Center for Lifespan Development of Mind and Brain, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Li-Zhi Cao
- Research Center for Lifespan Development of Mind and Brain, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chao Jiang
- School of Psychology, Capital Normal University, Beijing 100048, China
| | - Zhe Zhang
- Department of Psychology, College of Education, Hebei Normal University, Shijiazhuang 05024, Hebei, China
| | - Ning Yang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Developmental Population Neuroscience Research Center, International Data Group/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Qi Dong
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
| | - Xi-Nian Zuo
- Research Center for Lifespan Development of Mind and Brain, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Developmental Population Neuroscience Research Center, International Data Group/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
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16
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De Kloe YJR, Hooge ITC, Kemner C, Niehorster DC, Nyström M, Hessels RS. Replacing eye trackers in ongoing studies: A comparison of eye-tracking data quality between the Tobii Pro TX300 and the Tobii Pro Spectrum. INFANCY 2021; 27:25-45. [PMID: 34687142 DOI: 10.1111/infa.12441] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 09/06/2021] [Accepted: 09/20/2021] [Indexed: 11/26/2022]
Abstract
The Tobii Pro TX300 is a popular eye tracker in developmental eye-tracking research, yet it is no longer manufactured. If a TX300 breaks down, it may have to be replaced. The data quality of the replacement eye tracker may differ from that of the TX300, which may affect the experimental outcome measures. This is problematic for longitudinal and multi-site studies, and for researchers replacing eye trackers between studies. We, therefore, ask how the TX300 and its successor, the Tobii Pro Spectrum, compare in terms of eye-tracking data quality. Data quality-operationalized through precision, accuracy, and data loss-was compared between eye trackers for three age groups (around 5-months, 10-months, and 3-years). Precision was better for all gaze position signals obtained with the Spectrum in comparison to the TX300. Accuracy of the Spectrum was higher for the 5-month-old and 10-month-old children. For the three-year-old children, accuracy was similar across both eye trackers. Gaze position signals from the Spectrum exhibited lower proportions of data loss, and the duration of the data loss periods tended to be shorter. In conclusion, the Spectrum produces gaze position signals with higher data quality, especially for the younger infants. Implications for data analysis are discussed.
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Affiliation(s)
- Yentl J R De Kloe
- Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands
| | - Ignace T C Hooge
- Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands
| | - Chantal Kemner
- Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands
| | - Diederick C Niehorster
- Lund University Humanities Lab, Lund University, Lund, Sweden.,Department of Psychology, Lund University, Lund, Sweden
| | - Marcus Nyström
- Lund University Humanities Lab, Lund University, Lund, Sweden
| | - Roy S Hessels
- Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands
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17
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Pas P, Hulshoff Pol HE, Raemaekers M, Vink M. Self-regulation in the pre-adolescent brain. Dev Cogn Neurosci 2021; 51:101012. [PMID: 34530249 PMCID: PMC8450202 DOI: 10.1016/j.dcn.2021.101012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 08/21/2021] [Accepted: 09/08/2021] [Indexed: 01/09/2023] Open
Abstract
Self-regulation refers to the ability to monitor and modulate emotions, behavior, and cognition, which in turn allows us to achieve goals and adapt to ever changing circumstances. This trait develops from early infancy well into adulthood, and features both low-level executive functions such as reactive inhibition, as well as higher level executive functions such as proactive inhibition. Development of self-regulation is linked to brain maturation in adolescence and adulthood. However, how self-regulation in daily life relates to brain functioning in pre-adolescent children is not known. To this aim, we have analyzed data from 640 children aged 8–11, who performed a stop-signal anticipation task combined with functional magnetic resonance imaging, in addition to questionnaire data on self-regulation. We find that pre-adolescent boys and girls who display higher levels of self-regulation, are better able to employ proactive inhibitory control strategies, exhibit stronger frontal activation and more functional coupling between cortical and subcortical areas of the brain. Furthermore, we demonstrate that pre-adolescent children show significant activation in areas of the brain that were previously only associated with reactive and proactive inhibition in adults and adolescents. Thus, already in pre-adolescent children, frontal-striatal brain areas are active during self-regulatory behavior. Children with higher levels of self-regulation employ more proactive inhibition. During proactive inhibition, children aged 8–11 show activation in frontal-cortical areas. Children higher in self-regulation exhibit more cortical-subcortical coupling. Children aged 8–11 show similar brain activation as adults during inhibition.
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Affiliation(s)
- P Pas
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands; Experimental Psychology, Utrecht University, Utrecht, The Netherlands.
| | - H E Hulshoff Pol
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - M Raemaekers
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - M Vink
- Developmental Psychology, Utrecht University, Utrecht, The Netherlands
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18
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van der Velde B, White T, Kemner C. The emergence of a theta social brain network during infancy. Neuroimage 2021; 240:118298. [PMID: 34171501 DOI: 10.1016/j.neuroimage.2021.118298] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 05/28/2021] [Accepted: 06/20/2021] [Indexed: 11/17/2022] Open
Abstract
Infants' socio-cognitive ability develops dramatically during the first year of life. From the perspective of ontogeny, the early development of social behavior allows for parent-child attachment, which in turn enhances survival. Thus, it is theorized that the development of social behavior, driven by social brain networks, forms the core of developmental acquisitions during this period. Further, understanding the maturation within the neural networks during social development is crucial to obtain a better grasp of the development of social developmental disorders. Therefore, we performed a longitudinal study in 854 infants measured at around 5 and 10 months to map the development of functional networks in the brain when infants were processing social and non-social videos. Using EEG, we focused on the frequency bands most commonly connected to social behavior: theta and alpha. We found that alpha networks remained relatively stable over the first year of life and showed no selectivity for social versus non-social stimuli, theta networks, showed strong global reconfigurations. The development of the theta networks progressed from a parietal occipital network in early infancy to a frontoparietal network towards the end of the first year of life. This reconfiguration coincided with selectivity for social versus non-social stimuli, with infants approaching the end of their first year of life showing increased synchronicity of theta communication when watching social videos versus non-social videos. Our findings provide strong evidence for the involvement of a frontoparietal theta network in the development of the social brain.
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Affiliation(s)
- Bauke van der Velde
- Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, the Netherlands.
| | - Tonya White
- Department of Radiology and Nuclear Medicine, Erasmus Universiteit, Rotterdam, the Netherlands; Department of Child and Adolescent Psychiatry, Erasmus University Medical Centre, Rotterdam, Netherlands
| | - Chantal Kemner
- Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, the Netherlands
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19
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Buimer EEL, Schnack HG, Caspi Y, van Haren NEM, Milchenko M, Pas P, Hulshoff Pol HE, Brouwer RM. De-identification procedures for magnetic resonance images and the impact on structural brain measures at different ages. Hum Brain Mapp 2021; 42:3643-3655. [PMID: 33973694 PMCID: PMC8249889 DOI: 10.1002/hbm.25459] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 02/26/2021] [Accepted: 04/05/2021] [Indexed: 11/12/2022] Open
Abstract
Surface rendering of MRI brain scans may lead to identification of the participant through facial characteristics. In this study, we evaluate three methods that overwrite voxels containing privacy‐sensitive information: Face Masking, FreeSurfer defacing, and FSL defacing. We included structural T1‐weighted MRI scans of children, young adults and older adults. For the young adults, test–retest data were included with a 1‐week interval. The effects of the de‐identification methods were quantified using different statistics to capture random variation and systematic noise in measures obtained through the FreeSurfer processing pipeline. Face Masking and FSL defacing impacted brain voxels in some scans especially in younger participants. FreeSurfer defacing left brain tissue intact in all cases. FSL defacing and FreeSurfer defacing preserved identifiable characteristics around the eyes or mouth in some scans. For all de‐identification methods regional brain measures of subcortical volume, cortical volume, cortical surface area, and cortical thickness were on average highly replicable when derived from original versus de‐identified scans with average regional correlations >.90 for children, young adults, and older adults. Small systematic biases were found that incidentally resulted in significantly different brain measures after de‐identification, depending on the studied subsample, de‐identification method, and brain metric. In young adults, test–retest intraclass correlation coefficients (ICCs) were comparable for original scans and de‐identified scans with average regional ICCs >.90 for (sub)cortical volume and cortical surface area and ICCs >.80 for cortical thickness. We conclude that apparent visual differences between de‐identification methods minimally impact reliability of brain measures, although small systematic biases can occur.
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Affiliation(s)
- Elizabeth E L Buimer
- UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Hugo G Schnack
- UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Yaron Caspi
- UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Neeltje E M van Haren
- UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.,Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, Rotterdam, Netherlands
| | - Mikhail Milchenko
- Department of Radiology, Washington University School of Medicine, Mallinckrodt Institute of Radiology, Saint Louis, Missouri, USA
| | - Pascal Pas
- UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | | | - Hilleke E Hulshoff Pol
- UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Rachel M Brouwer
- UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
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20
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Suffren S, Dubois-Comtois K, Lemelin JP, St-Laurent D, Milot T. Relations between Child and Parent Fears and Changes in Family Functioning Related to COVID-19. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:1786. [PMID: 33673155 PMCID: PMC7918466 DOI: 10.3390/ijerph18041786] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 02/08/2021] [Accepted: 02/09/2021] [Indexed: 12/18/2022]
Abstract
In adults, higher anxiety level related to COVID-19 has been associated with having a pre-existing medical or mental health condition and poor sleep quality. However, no study yet has looked at these links in children. The present study's main aim was to assess family changes associated with child and parent fears and concerns about COVID-19. We conducted a cross-sectional study among 144 families with children aged 9-12 years during the COVID-19 lockdown period. Families came from Quebec, Canada, and the survey was done in the early stages of the lockdown (April-May 2020). A phone-based survey assessed parent and child COVID-19-related fears and concerns, family-related changes and health issues. Results showed the more fears parents have about COVID-19, the more fears their child also has. Moreover, changes in family sleep habits were associated with parental and child fears and concerns about COVID-19. Reduced access to health services was associated with parental concerns about COVID-19. If another lockdown was to be put in place in the future, it would be important to inform families on the importance of sleep schedules and to maintain or increase health appointments when possible.
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Affiliation(s)
- Sabrina Suffren
- Département de Psychologie, Université du Québec à Trois-Rivières, Trois-Rivières, QC G9A 5H7, Canada; (S.S.); (D.S.-L.)
- Centre de Recherche Universitaire sur les Jeunes et les Familles (CRUJeF), Québec, QC G1C 3S2, Canada; (J.-P.L.); (T.M.)
- Centre de Recherche and Hôpital en Santé Mentale Albert-Prévost, CIUSSS du Nord-de-l’Ile-de-Montreal, Montreal, QC H4K 1B3, Canada
| | - Karine Dubois-Comtois
- Département de Psychologie, Université du Québec à Trois-Rivières, Trois-Rivières, QC G9A 5H7, Canada; (S.S.); (D.S.-L.)
- Centre de Recherche and Hôpital en Santé Mentale Albert-Prévost, CIUSSS du Nord-de-l’Ile-de-Montreal, Montreal, QC H4K 1B3, Canada
| | - Jean-Pascal Lemelin
- Centre de Recherche Universitaire sur les Jeunes et les Familles (CRUJeF), Québec, QC G1C 3S2, Canada; (J.-P.L.); (T.M.)
- Département de Psychoéducation, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada
| | - Diane St-Laurent
- Département de Psychologie, Université du Québec à Trois-Rivières, Trois-Rivières, QC G9A 5H7, Canada; (S.S.); (D.S.-L.)
- Centre de Recherche Universitaire sur les Jeunes et les Familles (CRUJeF), Québec, QC G1C 3S2, Canada; (J.-P.L.); (T.M.)
| | - Tristan Milot
- Centre de Recherche Universitaire sur les Jeunes et les Familles (CRUJeF), Québec, QC G1C 3S2, Canada; (J.-P.L.); (T.M.)
- Département de Psychoéducation, Université du Québec à Trois-Rivières, Trois-Rivières, QC G8Z 4M3, Canada
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21
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Kemner C, van Duijvenvoorde A, Nelemans S, Peeters M, Sarabdjitsingh A, de Zeeuw E. Teaming up to understand individual development. Dev Cogn Neurosci 2021; 48:100910. [PMID: 33518478 PMCID: PMC8055707 DOI: 10.1016/j.dcn.2021.100910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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22
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Kevenaar ST, Zondervan-Zwijnenburg MAJ, Blok E, Schmengler H, Fakkel MT, de Zeeuw EL, van Bergen E, Onland-Moret NC, Peeters M, Hillegers MHJ, Boomsma DI, Oldehinkel AJ. Bayesian evidence synthesis in case of multi-cohort datasets: An illustration by multi-informant differences in self-control. Dev Cogn Neurosci 2020; 47:100904. [PMID: 33434882 PMCID: PMC7807202 DOI: 10.1016/j.dcn.2020.100904] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 12/16/2020] [Accepted: 12/17/2020] [Indexed: 12/14/2022] Open
Abstract
The trend toward large-scale collaborative studies gives rise to the challenge of combining data from different sources efficiently. Here, we demonstrate how Bayesian evidence synthesis can be used to quantify and compare support for competing hypotheses and to aggregate this support over studies. We applied this method to study the ordering of multi-informant scores on the ASEBA Self Control Scale (ASCS), employing a multi-cohort design with data from four Dutch cohorts. Self-control reports were collected from mothers, fathers, teachers and children themselves. The available set of reporters differed between cohorts, so in each cohort varying components of the overarching hypotheses were evaluated. We found consistent support for the partial hypothesis that parents reported more self-control problems than teachers. Furthermore, the aggregated results indicate most support for the combined hypothesis that children report most problem behaviors, followed by their mothers and fathers, and that teachers report the fewest problems. However, there was considerable inconsistency across cohorts regarding the rank order of children’s reports. This article illustrates Bayesian evidence synthesis as a method when some of the cohorts only have data to evaluate a partial hypothesis. With Bayesian evidence synthesis, these cohorts can still contribute to the aggregated results.
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Affiliation(s)
- Sofieke T Kevenaar
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Research Institute LEARN!, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
| | | | | | - Heiko Schmengler
- Utrecht University, Utrecht, the Netherlands; University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Eveline L de Zeeuw
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Research Institute LEARN!, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Elsje van Bergen
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Research Institute LEARN!, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | | | - Dorret I Boomsma
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Albertine J Oldehinkel
- University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
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23
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Buimer EEL, Pas P, Brouwer RM, Froeling M, Hoogduin H, Leemans A, Luijten P, van Nierop BJ, Raemaekers M, Schnack HG, Teeuw J, Vink M, Visser F, Hulshoff Pol HE, Mandl RCW. The YOUth cohort study: MRI protocol and test-retest reliability in adults. Dev Cogn Neurosci 2020; 45:100816. [PMID: 33040972 PMCID: PMC7365929 DOI: 10.1016/j.dcn.2020.100816] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 06/09/2020] [Accepted: 07/02/2020] [Indexed: 11/30/2022] Open
Abstract
The YOUth cohort study is a unique longitudinal study on brain development in the general population. As part of the YOUth study, 2000 children will be included at 8, 9 or 10 years of age and planned to return every three years during adolescence. Magnetic resonance imaging (MRI) brain scans are collected, including structural T1-weighted imaging, diffusion-weighted imaging (DWI), resting-state functional MRI and task-based functional MRI. Here, we provide a comprehensive report of the MR acquisition in YOUth Child & Adolescent including the test-retest reliability of brain measures derived from each type of scan. To measure test-retest reliability, 17 adults were scanned twice with a week between sessions using the full YOUth MRI protocol. Intraclass correlation coefficients were calculated to quantify reliability. Global brain measures derived from structural T1-weighted and DWI scans were reliable. Resting-state functional connectivity was moderately reliable, as well as functional brain measures for both the inhibition task (stop versus go) and the emotion task (face versus house). Our results complement previous studies by presenting reliability results of regional brain measures collected with different MRI modalities. YOUth facilitates data sharing and aims for reliable and high-quality data. Here we show that using the state-of-the art YOUth MRI protocol brain measures can be estimated reliably.
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Affiliation(s)
- Elizabeth E L Buimer
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands
| | - Pascal Pas
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands
| | - Rachel M Brouwer
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands
| | - Martijn Froeling
- Image Sciences Institute, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands
| | - Hans Hoogduin
- Image Sciences Institute, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands
| | - Alexander Leemans
- Image Sciences Institute, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands
| | - Peter Luijten
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Bastiaan J van Nierop
- Image Sciences Institute, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands; Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Mathijs Raemaekers
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands
| | - Hugo G Schnack
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands
| | - Jalmar Teeuw
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands
| | - Matthijs Vink
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands; Department of Psychology, Utrecht University, Utrecht, the Netherlands
| | | | - Hilleke E Hulshoff Pol
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands
| | - René C W Mandl
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands.
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24
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Zondergeld JJ, Scholten RHH, Vreede BMI, Hessels RS, Pijl AG, Buizer-Voskamp JE, Rasch M, Lange OA, Veldkamp CLS. FAIR, safe and high-quality data: The data infrastructure and accessibility of the YOUth cohort study. Dev Cogn Neurosci 2020; 45:100834. [PMID: 32906086 PMCID: PMC7481825 DOI: 10.1016/j.dcn.2020.100834] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 07/03/2020] [Accepted: 07/28/2020] [Indexed: 11/20/2022] Open
Abstract
The YOUth cohort study aims to be a trailblazer for open science. Being a large-scale, longitudinal cohort following children in their development from gestation until early adulthood, YOUth collects a vast amount of data through a variety of research techniques. Data are collected through multiple platforms, including facilities managed by Utrecht University and the University Medical Center Utrecht. In order to facilitate appropriate use of its data by research organizations and researchers, YOUth aims to produce high-quality, FAIR data while safeguarding the privacy of participants. This requires an extensive data infrastructure, set up by collaborative efforts of researchers, data managers, IT departments, and the Utrecht University Library. In the spirit of open science, YOUth will share its experience and expertise in setting up a high-quality research data infrastructure for sensitive cohort data. This paper describes the technical aspects of our data and data infrastructure, and the steps taken throughout the study to produce and safely store FAIR and high-quality data. Finally, we will reflect on the organizational aspects that are conducive to the success of setting up such an enterprise, and we consider the financial challenges posed by individual studies investing in sustainable science.
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Affiliation(s)
- Jelmer J Zondergeld
- Experimental Psychology, Helmholtz Institute, Utrecht University, the Netherlands.
| | | | | | - Roy S Hessels
- Experimental Psychology, Helmholtz Institute, Utrecht University, the Netherlands; Developmental Psychology, Utrecht University, the Netherlands
| | - A G Pijl
- University Medical Center Utrecht, the Netherlands
| | | | - Menno Rasch
- Information and Technology Services, Utrecht University, the Netherlands
| | - Otto A Lange
- Utrecht University Library, Utrecht University, the Netherlands
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