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Şipoş R, Calugar I, Predescu E. Neurodevelopmental Impact of Maternal Postnatal Depression: A Systematic Review of EEG Biomarkers in Infants. CHILDREN (BASEL, SWITZERLAND) 2025; 12:396. [PMID: 40310038 PMCID: PMC12026314 DOI: 10.3390/children12040396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2025] [Revised: 03/18/2025] [Accepted: 03/19/2025] [Indexed: 05/02/2025]
Abstract
BACKGROUND/OBJECTIVES Postpartum depression (PPD) significantly impacts maternal well-being and child neurodevelopment. While the etiology of PPD is well understood, the precise neurodevelopmental consequences, particularly differentiating prenatal and postnatal effects, remain unclear. This systematic review aims to synthesize the existing literature on the neurophysiological effects of maternal PPD on infant neurodevelopment, focusing on electroencephalography (EEG) biomarkers to identify consistent patterns and potential mediating factors. METHODS A comprehensive literature search across PubMed/MEDLINE, Web of Science, and Scopus identified studies investigating infants (0-12 months) exposed to maternal depressive symptoms (assessed via validated psychometric instruments) with quantitative EEG data. Study quality was assessed using the Newcastle-Ottawa Scale. RESULTS Twelve studies met the inclusion criteria. Eleven investigated EEG asymmetry, predominantly frontal alpha asymmetry (FAA). The findings consistently showed greater right FAA in the infants of mothers with PPD, suggesting increased negative affectivity and avoidance behaviors. This association was stronger with prolonged or combined prenatal/postnatal exposure. However, EEG power and connectivity findings were less consistent, with some studies reporting altered occipital power at 1 month and frontal power at 3 months in the infants of depressed mothers. No significant associations were found between maternal depression and functional connectivity. CONCLUSIONS This review demonstrates a robust association between maternal PPD and altered infant EEG patterns, particularly increased right FAA. However, methodological heterogeneity necessitates future research with standardized protocols and longitudinal designs to establish causality and investigate long-term effects. Further research should also explore the underlying neural mechanisms and evaluate the efficacy of targeted interventions. These findings underscore the need for early identification and intervention to mitigate the negative impact of PPD on infant neurodevelopment.
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Affiliation(s)
- Roxana Şipoş
- Department of Neuroscience, Psychiatry and Pediatric Psychiatry, “Iuliu Hatieganu” University of Medicine and Pharmacy, Calea Manastur Street No. 54C, 400658 Cluj-Napoca, Romania
| | - Iulia Calugar
- Department of Neuroscience, Psychiatry and Pediatric Psychiatry, “Iuliu Hatieganu” University of Medicine and Pharmacy, Calea Manastur Street No. 54C, 400658 Cluj-Napoca, Romania
- Department of Clinical Psychology and Psychotherapy, Faculty of Psychology and Educational Sciences, Babeş-Bolyai University, 37 Republicii Street, 400015 Cluj-Napoca, Romania
| | - Elena Predescu
- Department of Neuroscience, Psychiatry and Pediatric Psychiatry, “Iuliu Hatieganu” University of Medicine and Pharmacy, Calea Manastur Street No. 54C, 400658 Cluj-Napoca, Romania
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2
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Carreno CA, Evans ME, Lockhart BK, Chinaka O, Katz B, Bell MA, Howell BR. Optimizing infant neuroimaging methods to understand the neurodevelopmental impacts of early nutrition and feeding. Dev Cogn Neurosci 2025; 71:101481. [PMID: 39647348 PMCID: PMC11667636 DOI: 10.1016/j.dcn.2024.101481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Revised: 11/16/2024] [Accepted: 11/19/2024] [Indexed: 12/10/2024] Open
Abstract
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.
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Affiliation(s)
- Claudia A Carreno
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA, USA; Department of Human Development and Family Science, Virginia Tech, Blacksburg, VA, USA
| | - Megan E Evans
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA, USA; Translational Biology, Medicine, & Health Graduate Program, Virginia Tech, Roanoke, VA, USA
| | - Blakely K Lockhart
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA, USA; Translational Biology, Medicine, & Health Graduate Program, Virginia Tech, Roanoke, VA, USA
| | - Oziomachukwu Chinaka
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA, USA; Translational Biology, Medicine, & Health Graduate Program, Virginia Tech, Roanoke, VA, USA
| | - Benjamin Katz
- Department of Human Development and Family Science, Virginia Tech, Blacksburg, VA, USA
| | - Martha Ann Bell
- Department of Psychology, Virginia Tech, Blacksburg, VA, USA
| | - Brittany R Howell
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA, USA; Department of Human Development and Family Science, Virginia Tech, Blacksburg, VA, USA.
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3
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Perone S, Vaughan AM. Frontal alpha asymmetry dynamics: A window into active self-regulatory processes. Biol Psychol 2024; 193:108872. [PMID: 39321992 DOI: 10.1016/j.biopsycho.2024.108872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 08/22/2024] [Accepted: 09/17/2024] [Indexed: 09/27/2024]
Abstract
Frontal Alpha Asymmetry (FAA) has been studied since the late 1970s as a neural correlate of emotion regulation and motivational processes. FAA is often viewed through a dispositional lens reflecting individual differences in positive or negative emotionality and biases toward approach or avoidance motivational processes. However, FAA also shifts in response to context-specific conditions that elicit approach or avoidance responses, indicating FAA reflects active, ongoing self-regulatory processes. Moreover, FAA changes over time, and how it changes over time is affected by context, experience, and development. We propose FAA evolves over four different time scales including the (1) second-to-second, (2) laboratory task, (3) intervention or intensive learning experience, and (4) developmental time scales. We present evidence showing FAA evolves over each of these time scales and highlight influences of individual differences and the developmental context on how FAA changes over time. We emphasize the insights gained by studying change in FAA over each time scale. We concluded with recommendations about future directions and speculate about the nested, bidirectional nature of the four timescales.
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Affiliation(s)
- Sammy Perone
- Department of Human Development, Washington State University, USA.
| | - Aryn M Vaughan
- Department of Human Development, Washington State University, USA
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4
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van Dijk MT, Talati A, Barrios PG, Crandall AJ, Lugo-Candelas C. Prenatal depression outcomes in the next generation: A critical review of recent DOHaD studies and recommendations for future research. Semin Perinatol 2024; 48:151948. [PMID: 39043475 DOI: 10.1016/j.semperi.2024.151948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/25/2024]
Abstract
Prenatal depression, a common pregnancy-related risk with a prevalence of 10-20 %, may affect in utero development and socioemotional and neurodevelopmental outcomes in the next generation. Although there is a growing body of work that suggests prenatal depression has an independent and long-lasting effect on offspring outcomes, important questions remain, and findings often do not converge. The present review examines work carried out in the last decade, with an emphasis on studies focusing on mechanisms and leveraging innovative technologies and study designs to fill in gaps in research. Overall, the past decade of research continues to suggest that prenatal depression increases risk for offspring socioemotional problems and may alter early brain development by affecting maternal-fetal physiology during pregnancy. However, important limitations remain; lack of diversity in study samples, inconsistent consideration of potential confounders (e.g., genetics, postnatal depression, parenting), and restriction of examination to narrow time windows and single exposures. On the other hand, exciting work has begun uncovering potential mechanisms underlying transmission, including alterations in mitochondria functioning, epigenetics, and the prenatal microbiome. We review the evidence to date, identify limitations, and suggest strategies for the next decade of research to detect mechanisms as well as sources of plasticity and resilience to ensure this work translates into meaningful, actionable science that improves the lives of families.
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Affiliation(s)
- M T van Dijk
- Columbia University Irving Medical Center, United States; New York State Psychiatric Institute, United States
| | - A Talati
- Columbia University Irving Medical Center, United States; New York State Psychiatric Institute, United States
| | | | - A J Crandall
- Columbia University Irving Medical Center, United States; New York State Psychiatric Institute, United States
| | - C Lugo-Candelas
- Columbia University Irving Medical Center, United States; New York State Psychiatric Institute, United States.
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Bi X, Cui H, Ma Y. Hyperscanning Studies on Interbrain Synchrony and Child Development: A Narrative Review. Neuroscience 2023; 530:38-45. [PMID: 37657749 DOI: 10.1016/j.neuroscience.2023.08.035] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 08/18/2023] [Accepted: 08/27/2023] [Indexed: 09/03/2023]
Abstract
Social interactions between parents and children are closely linked with children's development, and interbrain synchrony has been shown to be a neural marker of social interaction. However, to truly capture the essence of social interactions through interbrain synchrony, it is necessary to simultaneously discuss the parental and child brains and adequately record neurological signals during parent-child interactions in interactive tasks. In the current review, we have reviewed three main contents. First, we discuss the correlation between parent-child interbrain synchrony and the development of cognitive (e.g., emotion regulation, attention, and learning) and behavioral abilities (e.g., cooperation, problem-solving) in children. Second, we examine the different neural mechanisms of interbrain synchrony in mother-child and father-child interactions, aiming to highlight the separate roles of mother and father in child development. Last, we have integrated four methods to enhance interbrain synchrony, including communication patterns, nonverbal behavior, music, and multichannel stimulation. A significant correlation exists between parent-child interbrain synchrony and the development of children's cognitive and behavioral abilities. This summary may be useful for expanding researchers' and practitioners' understanding of the ways in which parenting and the parent-child relationship shape children' cognitive and behavioral abilities.
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Affiliation(s)
- Xiaoyan Bi
- School of Education, Guangzhou University, Guangzhou, China; Institution of Science, Chinese Academy of Science, Beijing, China
| | - Hongbo Cui
- School of Education, Guangzhou University, Guangzhou, China
| | - Yankun Ma
- School of Education, Guangzhou University, Guangzhou, China.
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6
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Xie YH, Zhang YM, Fan FF, Song XY, Liu L. Functional role of frontal electroencephalogram alpha asymmetry in the resting state in patients with depression: A review. World J Clin Cases 2023; 11:1903-1917. [PMID: 36998965 PMCID: PMC10044961 DOI: 10.12998/wjcc.v11.i9.1903] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 02/10/2023] [Accepted: 03/01/2023] [Indexed: 03/16/2023] Open
Abstract
Depression is a psychological disorder that affects the general public worldwide. It is particularly important to make an objective and accurate diagnosis of depression, and the measurement methods of brain activity have gradually received increasing attention. Resting electroencephalogram (EEG) alpha asymmetry in patients with depression shows changes in activation of the alpha frequency band of the left and right frontal cortices. In this paper, we review the findings of the relationship between frontal EEG alpha asymmetry in the resting state and depression. Based on worldwide studies, we found the following: (1) Compared with individuals without depression, those with depression showed greater right frontal EEG alpha asymmetry in the resting state. However, the pattern of frontal EEG alpha asymmetry in the resting state in depressive individuals seemed to disappear with age; (2) Compared with individuals without maternal depression, those with maternal depression showed greater right frontal EEG alpha asymmetry in the resting state, which indicated that genetic or experience-based influences have an impact on frontal EEG alpha asymmetry at rest; and (3) Frontal EEG alpha asymmetry in the resting state was stable, and little or no change occurred after antidepressant treatment. Finally, we concluded that the contrasting results may be due to differences in methodology, clinical characteristics, and participant characteristics.
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Affiliation(s)
- Yu-Hong Xie
- Psychology College of Teacher Education, Center of Group Behavior and Social Psychological Service, Ningbo University, Ningbo 315211, Zhejiang Province, China
| | - Ye-Min Zhang
- Psychology College of Teacher Education, Center of Group Behavior and Social Psychological Service, Ningbo University, Ningbo 315211, Zhejiang Province, China
| | - Fan-Fan Fan
- Psychology College of Teacher Education, Center of Group Behavior and Social Psychological Service, Ningbo University, Ningbo 315211, Zhejiang Province, China
| | - Xi-Yan Song
- Psychology College of Teacher Education, Center of Group Behavior and Social Psychological Service, Ningbo University, Ningbo 315211, Zhejiang Province, China
| | - Lei Liu
- Psychology College of Teacher Education, Center of Group Behavior and Social Psychological Service, Ningbo University, Ningbo 315211, Zhejiang Province, China
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Bruce M, McFayden TC, Ollendick TH, Bell MA. Expressive language in infancy and toddlerhood: The roles of child temperament and maternal parenting behaviors. Dev Psychobiol 2022; 64:e22287. [PMID: 35748624 PMCID: PMC9328282 DOI: 10.1002/dev.22287] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Revised: 04/21/2022] [Accepted: 05/03/2022] [Indexed: 12/04/2022]
Abstract
Prompt, appropriate, and contingent maternal behaviors play a role in early language acquisition, as do individual differences in children's temperament. However, little work has investigated the combined influence of maternal psychosocial and child biological factors on expressive language development. The purpose of this study was to evaluate the concurrent and longitudinal contributions of responsive/intrusive parenting and child temperament to multiple expressive language outcomes at 10 and 24 months of age. Participants included 407 mothers and children (209 girls). Mothers completed questionnaires about their infant's temperament and language, and maternal parenting was coded during mother–child interaction tasks. Dependent variables included (1) gestures at 10 months, (2) vocabulary at 24 months, (3) mean length of utterance at 24 months, and (4) sentence complexity at 24 months. After controlling for child sex and maternal education, child temperament was associated with language outcomes at 10 and 24 months, whereas intrusive, but not responsive, parenting related to only 24 month language outcomes. Longitudinally, infant negative affectivity predicted sentence complexity in toddlerhood. These findings elucidate the presence of both psychological and biological predictors as they differentially influence various aspects of expressive language development across the first two postnatal years.
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Affiliation(s)
- Madeleine Bruce
- Department of Psychology, Virginia Tech, Blacksburg, Virginia, USA
| | - Tyler C McFayden
- Department of Psychology, Virginia Tech, Blacksburg, Virginia, USA
| | | | - Martha Ann Bell
- Department of Psychology, Virginia Tech, Blacksburg, Virginia, USA
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8
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Luotonen S, Railo H, Acosta H, Huotilainen M, Lavonius M, Karlsson L, Karlsson H, Tuulari JJ. Auditory Mismatch Responses to Emotional Stimuli in 3-Year-Olds in Relation to Prenatal Maternal Depression Symptoms. Front Neurosci 2022; 16:868270. [PMID: 35655753 PMCID: PMC9152314 DOI: 10.3389/fnins.2022.868270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 04/06/2022] [Indexed: 11/23/2022] Open
Abstract
Maternal depression symptoms are common in pregnant women and can have negative effects on offspring’s emotional development. This study investigated the association between prenatal maternal depression symptoms (assessed with the Edinburgh Postnatal Depression Scale at 24 weeks of gestation) and auditory perception of emotional stimuli in 3-year-olds (n = 58) from the FinnBrain Birth Cohort Study. Using electroencephalography (EEG), we examined mismatch responses for happy, sad, and angry sounds presented among neutral stimuli. A positive association between maternal depression symptoms and the emotional mismatch responses in an early time window (80–120 ms) was found, indicating that brain responses of children of mothers with depressive symptoms were weaker to happy sounds, though the results did not survive Bonferroni correction. There were no clear associations in the sad and angry emotional categories. Our results tentatively support that the 3-year-old children of mothers with depression symptoms may be less sensitive to automatically detect happy sounds compared to children whose mothers do not display symptoms of depression.
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Affiliation(s)
- Silja Luotonen
- Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
- *Correspondence: Silja Luotonen,
| | - Henry Railo
- Department of Clinical Neurophysiology, University of Turku, Turku, Finland
| | - Henriette Acosta
- Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
- Department of Psychiatry and Psychotherapy, Philipps University of Marburg, Marburg, Germany
| | - Minna Huotilainen
- Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
- CICERO Learning, Faculty of Educational Sciences, University of Helsinki, Helsinki, Finland
- Cognitive Brain Research Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Maria Lavonius
- Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
| | - Linnea Karlsson
- Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland
- Department of Psychiatry, Department of Clinical Medicine, Turku University Hospital, University of Turku, Turku, Finland
| | - Hasse Karlsson
- Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland
- Department of Psychiatry, Department of Clinical Medicine, Turku University Hospital, University of Turku, Turku, Finland
| | - Jetro J. Tuulari
- Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
- Department of Psychiatry, Department of Clinical Medicine, Turku University Hospital, University of Turku, Turku, Finland
- Turku Collegium for Science, Medicine and Technology, University of Turku, Turku, Finland
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
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Zeev-Wolf M, Dor-Ziderman Y, Pratt M, Goldstein A, Feldman R. Investigating default mode network connectivity disruption in children of mothers with depression. Br J Psychiatry 2022; 220:130-139. [PMID: 35049492 DOI: 10.1192/bjp.2021.164] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Exposure to maternal major depressive disorder (MDD) bears long-term negative consequences for children's well-being; to date, no research has examined how exposure at different stages of development differentially affects brain functioning. AIMS Utilising a unique cohort followed from birth to preadolescence, we examined the effects of early versus later maternal MDD on default mode network (DMN) connectivity. METHOD Maternal depression was assessed at birth and ages 6 months, 9 months, 6 years and 10 years, to form three groups: children of mothers with consistent depression from birth to 6 years of age, which resolved by 10 years of age; children of mothers without depression; and children of mothers who were diagnosed with MDD in late childhood. In preadolescence, we used magnetoencephalography and focused on theta rhythms, which characterise the developing brain. RESULTS Maternal MDD was associated with disrupted DMN connectivity in an exposure-specific manner. Early maternal MDD decreased child connectivity, presenting a profile typical of early trauma or chronic adversity. In contrast, later maternal MDD was linked with tighter connectivity, a pattern characteristic of adult depression. Aberrant DMN connectivity was predicted by intrusive mothering in infancy and lower mother-child reciprocity and child empathy in late childhood, highlighting the role of deficient caregiving and compromised socio-emotional competencies in DMN dysfunction. CONCLUSIONS The findings pinpoint the distinct effects of early versus later maternal MDD on the DMN, a core network sustaining self-related processes. Results emphasise that research on the influence of early adversity on the developing brain should consider the developmental stage in which the adversity occured.
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Affiliation(s)
- Maor Zeev-Wolf
- Baruch Ivcher School of Psychology, Interdisciplinary Center Herzliya, Israel; and Department of Education and Zlotowski Center for Neuroscience, Ben Gurion University of the Negev, Israel
| | - Yair Dor-Ziderman
- Baruch Ivcher School of Psychology, Interdisciplinary Center Herzliya, Israel; and Edmond J. Safra Brain Research Center, University of Haifa, Israel
| | - Maayan Pratt
- Department of Education and Zlotowski Center for Neuroscience, Ben Gurion University of the Negev, Israel; and Department of Psychology and Gonda Brain Science Center, Bar-Ilan University, Israel
| | - Abraham Goldstein
- Department of Psychology and Gonda Brain Science Center, Bar-Ilan University, Israel
| | - Ruth Feldman
- Baruch Ivcher School of Psychology, Interdisciplinary Center Herzliya, Israel; and Child Study Center, Yale University, Connecticut, USA
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Norton ES, Manning BL, Harriott EM, Nikolaeva JI, Nyabingi OS, Fredian KM, Page JM, McWeeny S, Krogh-Jespersen S, MacNeill LA, Roberts MY, Wakschlag LS. Social EEG: A novel neurodevelopmental approach to studying brain-behavior links and brain-to-brain synchrony during naturalistic toddler-parent interactions. Dev Psychobiol 2022; 64:e22240. [PMID: 35312062 PMCID: PMC9867891 DOI: 10.1002/dev.22240] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 10/26/2021] [Accepted: 10/29/2021] [Indexed: 01/26/2023]
Abstract
Despite increasing emphasis on emergent brain-behavior patterns supporting language, cognitive, and socioemotional development in toddlerhood, methodologic challenges impede their characterization. Toddlers are notoriously difficult to engage in brain research, leaving a developmental window in which neural processes are understudied. Further, electroencephalography (EEG) and event-related potential paradigms at this age typically employ structured, experimental tasks that rarely reflect formative naturalistic interactions with caregivers. Here, we introduce and provide proof of concept for a new "Social EEG" paradigm, in which parent-toddler dyads interact naturally during EEG recording. Parents and toddlers sit at a table together and engage in different activities, such as book sharing or watching a movie. EEG is time locked to the video recording of their interaction. Offline, behavioral data are microcoded with mutually exclusive engagement state codes. From 216 sessions to date with 2- and 3-year-old toddlers and their parents, 72% of dyads successfully completed the full Social EEG paradigm, suggesting that it is possible to collect dual EEG from parents and toddlers during naturalistic interactions. In addition to providing naturalistic information about child neural development within the caregiving context, this paradigm holds promise for examination of emerging constructs such as brain-to-brain synchrony in parents and children.
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Affiliation(s)
- Elizabeth S. Norton
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois, USA
- Department of Medical Social Sciences and Institute for Innovations in Developmental Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Brittany L. Manning
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois, USA
| | - Emily M. Harriott
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois, USA
| | - Julia I. Nikolaeva
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois, USA
| | - Olufemi S. Nyabingi
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois, USA
| | - Kaitlyn M. Fredian
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois, USA
| | - Jessica M. Page
- Department of Medical Social Sciences and Institute for Innovations in Developmental Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Sean McWeeny
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois, USA
| | - Sheila Krogh-Jespersen
- Department of Medical Social Sciences and Institute for Innovations in Developmental Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Leigha A. MacNeill
- Department of Medical Social Sciences and Institute for Innovations in Developmental Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Megan Y. Roberts
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois, USA
- Department of Medical Social Sciences and Institute for Innovations in Developmental Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Lauren S. Wakschlag
- Department of Medical Social Sciences and Institute for Innovations in Developmental Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
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11
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Vincent KM, Xie W, Nelson CA. Using different methods for calculating frontal alpha asymmetry to study its development from infancy to 3 years of age in a large longitudinal sample. Dev Psychobiol 2021; 63:e22163. [PMID: 34292586 PMCID: PMC11268489 DOI: 10.1002/dev.22163] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 06/06/2021] [Accepted: 06/25/2021] [Indexed: 12/28/2022]
Abstract
Frontal electroencephalography (EEG) alpha asymmetry (FAA), defined as the difference in frontal alpha power observed over the right and left frontal scalp regions, has been widely used in developmental research as a measure of multiple aspects of child behavior, such as temperament. Studies have used different equations to calculate FAA, which renders comparison of results across studies challenging. Furthermore, few studies have examined FAA's longitudinal stability across infancy and early childhood, which is a desirable feature of a temperament measure. We investigated the cross-sectional and the longitudinal correlations of FAA values from four different equations to calculate FAA used in the literature. We used baseline EEG data from a longitudinal sample of 321 infants and 168 3-year-old children (149 of whom had data at both timepoints). Consistent with previous work, FAA values calculated using two commonly used equations were highly correlated with each other cross-sectionally but not with values from a different equation that used log-transformed relative power. The log-transformed relative power FAA values were the only values that showed significant longitudinal stability. These findings suggest that researchers interested in FAA as a trait-like measure in children should consider using the relative power equation that renders stability across ages.
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Affiliation(s)
- Katherine M Vincent
- Laboratories of Cognitive Neuroscience, Division of Developmental Medicine, Boston Children's Hospital, Boston, Massachusetts, USA
- Center for Cognitive and Brain Health, Department of Psychology, Northeastern University, Boston, Massachusetts, USA
| | - Wanze Xie
- Laboratories of Cognitive Neuroscience, Division of Developmental Medicine, Boston Children's Hospital, Boston, Massachusetts, USA
- School of Psychological and Cognitive Sciences, Peking University, China; and PKU-IDG/McGovern Institute for Brain Research, Peking University, China
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Charles A Nelson
- Laboratories of Cognitive Neuroscience, Division of Developmental Medicine, Boston Children's Hospital, Boston, Massachusetts, USA
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
- Graduate School of Education, Harvard University, Cambridge, Massachusetts, USA
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