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Kawata NYS, Nishitani S, Yao A, Takiguchi S, Mizuno Y, Mizushima S, Makita K, Hamamura S, Saito DN, Okazawa H, Fujisawa TX, Tomoda A. Brain structures and functional connectivity in neglected children with no other types of maltreatment. Neuroimage 2024; 292:120589. [PMID: 38575041 DOI: 10.1016/j.neuroimage.2024.120589] [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: 04/19/2023] [Revised: 03/11/2024] [Accepted: 03/25/2024] [Indexed: 04/06/2024] Open
Abstract
Child maltreatment can adversely affect brain development, leading to vulnerabilities in brain structure and function and various psychiatric disorders. Among the various types of child maltreatment, neglect has the highest incidence rate (76.0%); however, data on its sole adverse influence on the brain remain limited. This case-control brain magnetic resonance imaging (MRI) study identified the changes in gray matter structure and function that distinguish neglected children with no other type of maltreatment (Neglect group, n = 23) from typically developing children (TD group, n = 140), and investigated the association between these structural and functional differences and specific psychosocial phenotypes observed in neglected children. Our results showed that the Neglect group had a larger right and left anterior cingulate cortex (R/L.ACC) and smaller left angular gyrus (L.AG) gray matter volume. The larger R/L.ACC was associated with hyperactivity and inattention. Resting-state functional analysis showed increased functional connectivity (FC) between the left supramarginal gyrus (L.SMG) in the salience network (SN) and the right middle frontal gyrus (R.MFG) simultaneously with a decrease in FC with the L.ACC for the same seed. The increased FC for the R.MFG was associated with difficulty in peer problems and depressive symptoms; a mediating effect was evident for depressive symptoms. These results suggest that the structural atypicality of the R/L.ACC indirectly contributes to the disturbed FCs within the SN, thereby exacerbating depressive symptoms in neglected children. In conclusion, exposure to neglect in childhood may lead to maladaptive brain development, particularly neural changes associated with depressive symptoms.
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Affiliation(s)
- Natasha Y S Kawata
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Fukui 910-1193, Japan
| | - Shota Nishitani
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Fukui 910-1193, Japan; Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Fukui 910-1193, Japan; Life Science Innovation Center, University of Fukui, Fukui 910-8507, Japan.
| | - Akiko Yao
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Fukui 910-1193, Japan
| | - Shinichiro Takiguchi
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Fukui 910-1193, Japan; Life Science Innovation Center, University of Fukui, Fukui 910-8507, Japan; Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui 910-1193, Japan
| | - Yoshifumi Mizuno
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Fukui 910-1193, Japan; Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Fukui 910-1193, Japan; Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui 910-1193, Japan
| | - Sakae Mizushima
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Fukui 910-1193, Japan; Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Fukui 910-1193, Japan
| | - Kai Makita
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Fukui 910-1193, Japan
| | - Shoko Hamamura
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Fukui 910-1193, Japan; Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui 910-1193, Japan
| | - Daisuke N Saito
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Fukui 910-1193, Japan; Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Fukui 910-1193, Japan
| | - Hidehiko Okazawa
- Life Science Innovation Center, University of Fukui, Fukui 910-8507, Japan; Biomedical Imaging Research Center, University of Fukui, Fukui 910-1193, Japan
| | - Takashi X Fujisawa
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Fukui 910-1193, Japan; Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Fukui 910-1193, Japan; Life Science Innovation Center, University of Fukui, Fukui 910-8507, Japan
| | - Akemi Tomoda
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Fukui 910-1193, Japan; Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Fukui 910-1193, Japan; Life Science Innovation Center, University of Fukui, Fukui 910-8507, Japan; Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui 910-1193, Japan.
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Razzaq FA, Calzada-Reyes A, Tang Q, Guo Y, Rabinowitz AG, Bosch-Bayard J, Galan-Garcia L, Virues-Alba T, Suarez-Murias C, Miranda I, Riaz U, Bernardo Lagomasino V, Bryce C, Anderson SG, Galler JR, Bringas-Vega ML, Valdes-Sosa PA. Spectral quantitative and semi-quantitative EEG provide complementary information on the life-long effects of early childhood malnutrition on cognitive decline. Front Neurosci 2023; 17:1149102. [PMID: 37781256 PMCID: PMC10540225 DOI: 10.3389/fnins.2023.1149102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 07/18/2023] [Indexed: 10/03/2023] Open
Abstract
Objective This study compares the complementary information from semi-quantitative EEG (sqEEG) and spectral quantitative EEG (spectral-qEEG) to detect the life-long effects of early childhood malnutrition on the brain. Methods Resting-state EEGs (N = 202) from the Barbados Nutrition Study (BNS) were used to examine the effects of protein-energy malnutrition (PEM) on childhood and middle adulthood outcomes. sqEEG analysis was performed on Grand Total EEG (GTE) protocol, and a single latent variable, the semi-quantitative Neurophysiological State (sqNPS) was extracted. A univariate linear mixed-effects (LME) model tested the dependence of sqNPS and nutritional group. sqEEG was compared with scores on the Montreal Cognitive Assessment (MoCA). Stable sparse classifiers (SSC) also measured the predictive power of sqEEG, spectral-qEEG, and a combination of both. Multivariate LME was applied to assess each EEG modality separately and combined under longitudinal settings. Results The univariate LME showed highly significant differences between previously malnourished and control groups (p < 0.001); age (p = 0.01) was also significant, with no interaction between group and age detected. Childhood sqNPS (p = 0.02) and adulthood sqNPS (p = 0.003) predicted MoCA scores in adulthood. The SSC demonstrated that spectral-qEEG combined with sqEEG had the highest predictive power (mean AUC 0.92 ± 0.005). Finally, multivariate LME showed that the combined spectral-qEEG+sqEEG models had the highest log-likelihood (-479.7). Conclusion This research has extended our prior work with spectral-qEEG and the long-term impact of early childhood malnutrition on the brain. Our findings showed that sqNPS was significantly linked to accelerated cognitive aging at 45-51 years of age. While sqNPS and spectral-qEEG produced comparable results, our study indicated that combining sqNPS and spectral-qEEG yielded better performance than either method alone, suggesting that a multimodal approach could be advantageous for future investigations. Significance Based on our findings, a semi-quantitative approach utilizing GTE could be a valuable diagnostic tool for detecting the lasting impacts of childhood malnutrition. Notably, sqEEG has not been previously explored or reported as a biomarker for assessing the longitudinal effects of malnutrition. Furthermore, our observations suggest that sqEEG offers unique features and information not captured by spectral quantitative EEG analysis and could lead to its improvement.
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Affiliation(s)
- Fuleah A. Razzaq
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformatics, University of Electronic Science and Technology of China, Chengdu, China
| | | | - Qin Tang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformatics, University of Electronic Science and Technology of China, Chengdu, China
| | - Yanbo Guo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformatics, University of Electronic Science and Technology of China, Chengdu, China
| | | | | | | | | | | | - Ileana Miranda
- National Center for Animal and Plant Health, CENSA, San José de las Lajas, Mayabeque, Cuba
| | - Usama Riaz
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformatics, University of Electronic Science and Technology of China, Chengdu, China
| | | | - Cyralene Bryce
- The George Alleyne Chronic Disease Research Centre, Caribbean Institute for Health Research, University of the West Indies, Cave Hill, Barbados
| | - Simon G. Anderson
- The George Alleyne Chronic Disease Research Centre, Caribbean Institute for Health Research, University of the West Indies, Cave Hill, Barbados
- The George Alleyne Chronic Disease Research Centre, Caribbean Institute for Health Research, University of the West Indies, Cave Hill, Barbados
| | - Janina R. Galler
- The George Alleyne Chronic Disease Research Centre, Caribbean Institute for Health Research, University of the West Indies, Cave Hill, Barbados
- Division of Pediatric Gastroenterology and Nutrition, MassGeneral Hospital for Children, Boston, MA, United States
| | - Maria L. Bringas-Vega
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformatics, University of Electronic Science and Technology of China, Chengdu, China
| | - Pedro A. Valdes-Sosa
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformatics, University of Electronic Science and Technology of China, Chengdu, China
- Cuban Neuroscience Center, La Habana, Cuba
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Neurodevelopmental effects of childhood malnutrition: A neuroimaging perspective. Neuroimage 2021; 231:117828. [PMID: 33549754 DOI: 10.1016/j.neuroimage.2021.117828] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 01/28/2021] [Accepted: 01/31/2021] [Indexed: 02/08/2023] Open
Abstract
Approximately one in five children worldwide suffers from childhood malnutrition and its complications, including increased susceptibility to inflammation and infectious diseases. Due to improved early interventions, most of these children now survive early malnutrition, even in low-resource settings (LRS). However, many continue to exhibit neurodevelopmental deficits, including low IQ, poor school performance, and behavioral problems over their lifetimes. Most studies have relied on neuropsychological tests, school performance, and mental health and behavioral measures. Few studies, in contrast, have assessed brain structure and function, and to date, these have mainly relied on low-cost techniques, including electroencephalography (EEG) and evoked potentials (ERP). The use of more advanced methods of neuroimaging, including magnetic resonance imaging (MRI) and functional near-infrared spectroscopy (fNIRS), has been limited by cost factors and lack of availability of these technologies in developing countries, where malnutrition is nearly ubiquitous. This report summarizes the current state of knowledge and evidence gaps regarding childhood malnutrition and the study of its impact on neurodevelopment. It may help to inform the development of new strategies to improve the identification, classification, and treatment of neurodevelopmental disabilities in underserved populations at the highest risk for childhood malnutrition.
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Hock RS, Rabinowitz AG, Bryce CP, Fitzmaurice GM, Jr PTC, Galler JR. Intergenerational effects of childhood maltreatment and malnutrition on personality maladaptivity in a Barbadian longitudinal cohort. Psychiatry Res 2020; 290:113016. [PMID: 32682171 PMCID: PMC9994185 DOI: 10.1016/j.psychres.2020.113016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Revised: 04/12/2020] [Accepted: 04/12/2020] [Indexed: 11/16/2022]
Abstract
Childhood adversities are linked with mental health problems throughout the life course, including personality pathology. Less is known about consequences in the next generation, particularly in non-Western populations. In the Barbados Nutrition Study, we assessed associations of two parental (G1) childhood adversities- (1) maltreatment history using the Childhood Trauma Questionnaire-Short Form (CTQ-SF), and (2) clinically ascertained infant malnutrition limited to the first year of life-on PD symptoms in their G2 offspring, using NEO FFM PD prototypes. In linear regression models clustered by family and adjusted for other G1 childhood adversities and family socioeconomic status, we found that G1 parental history of childhood maltreatment was significantly associated with increased G2 offspring Borderline, Histrionic, Narcissistic, and Dependent PD scores. When G1 childhood malnutrition was the exposure of interest, we found a significant association with Schizoid PD scores. When the sample was restricted to offspring of G1 mothers, even more extensive associations with G2 personality pathology were observed. This study supports a link between parental exposure to childhood adversities and increased personality maladaptivity in the next generation, with some specific patterns worthy of further exploration.
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Affiliation(s)
- Rebecca S Hock
- The Chester M. Pierce MD Division of Global Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
| | - Arielle G Rabinowitz
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Cyralene P Bryce
- Barbados Nutrition Study, Ladymeade Gardens No. 1, Bridgetown, Barbados
| | - Garrett M Fitzmaurice
- Department of Biostatistics, Harvard School of Public Health, Boston, MA. and McLean Hospital, Belmont, MA, USA
| | - Paul T Costa Jr
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Janina R Galler
- Division of Pediatric Gastroenterology and Nutrition, Mucosal Immunology and Biology Research Center, MassGeneral Hospital for Children, and Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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Valdés-Sosa PA, Galler JR, Bryce CP, Rabinowitz AG, Bringas-Vega ML, Hernández-Mesa N, Taboada-Crispi A. Seeking Biomarkers of Early Childhood Malnutrition's Long-term Effects. MEDICC Rev 2018; 20:43-48. [PMID: 29773777 PMCID: PMC6310420 DOI: 10.37757/mr2018.v20.n2.10] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023]
Abstract
Protein-energy malnutrition affects one in nine people worldwide and is most prevalent among children aged less than five years in low-income countries. Early childhood malnutrition can have damaging neurodevelopmental effects, with significant increases in cognitive, neurological and mental health problems over the lifespan, outcomes which can also extend to the next generation. This article describes a research collaboration involving scientists from five centers in Barbados, China, Cuba and the USA. It builds on longer-term joint work between the Barbados Nutrition Study (which, over a 45-year span, has extensively documented nutritional, health, behavioral, social and economic outcomes of individuals who experienced protein-energy malnutrition in the first year of life and healthy controls from the same classrooms and neighborhoods) and the Cuban Neuroscience Center (which has developed low-cost brain imaging methods that can be readily used in low income settings to identify biomarkers for early detection and treatment of adverse consequences of childhood malnutrition). This collaboration, which involved Barbadian, Cuban and US scientists began in the 1970s, when quantitative EEG techniques were applied to EEG data collected in 1977-78, at which time study participants were aged 5-11 years. These EEG records were never fully analyzed but were stored in New York and made available to this project in 2016. These data have now been processed and analyzed, comparing EEG findings in previously malnourished and control children, and have led to the identification of early biomarkers of long-term effects of early childhood protein-energy malnutrition. The next stage of the project will involve extending earlier work by collecting EEG recordings in the same individuals at ages 45-51 years, 40 years later, and comparing findings to earlier data and to these individuals' behavioral and cognitive outcomes. Quantitative EEG biomarkers of the effects of protein-energy malnutrition may help identify children at greatest risk for early malnutrition's adverse neurodevelopmental effects and inform development of targeted interventions to mitigate the long-term adverse effects of protein-energy malnutrition in developing countries. KEYWORDS Protein-energy malnutrition, electroencephalography, EEG, biomarkers, neurosciences, Barbados, Cuba, USA.
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