Sunghyun H Hong, Felicia A Hardi, Scott Tillem, Leigh G Goetschius, Jeanne Brooks-Gunn, Vonnie McLoyd, Nestor L Lopez-Duran, Colter Mitchell, Luke W Hyde, Christopher S Monk
{"title":"母子亲密关系与青少年结构神经网络:低收入家庭前瞻性纵向研究》。","authors":"Sunghyun H Hong, Felicia A Hardi, Scott Tillem, Leigh G Goetschius, Jeanne Brooks-Gunn, Vonnie McLoyd, Nestor L Lopez-Duran, Colter Mitchell, Luke W Hyde, Christopher S Monk","doi":"10.1093/scan/nsae083","DOIUrl":null,"url":null,"abstract":"<p><p>Mother-child closeness, a mutually trusting and affectionate bond, is an important factor in shaping positive youth development. However, little is known about the neural pathways through which mother-child closeness is related to brain organization. Utilizing a longitudinal sample primarily from low-income families (N = 181; 76% African American youth and 54% female), this study investigated the associations between mother-child closeness at ages 9 and 15 years and structural connectivity organization (network integration, robustness, and segregation) at age 15 years. The assessment of mother-child closeness included perspectives from both mother and child. The results revealed that greater mother-child closeness is linked with increased global efficiency and transitivity, but not with modularity. Specifically, both the mother's and child's reports of closeness at age 15 years predicted network metrics, but report at age 9 years did not. Our findings suggest that mother-child closeness is associated with neural white matter organization, as adolescents who experienced greater mother-child closeness displayed topological properties indicative of more integrated and robust structural networks.</p>","PeriodicalId":94208,"journal":{"name":"Social cognitive and affective neuroscience","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11631430/pdf/","citationCount":"0","resultStr":"{\"title\":\"Mother-child closeness and adolescent structural neural networks: a prospective longitudinal study of low-income families.\",\"authors\":\"Sunghyun H Hong, Felicia A Hardi, Scott Tillem, Leigh G Goetschius, Jeanne Brooks-Gunn, Vonnie McLoyd, Nestor L Lopez-Duran, Colter Mitchell, Luke W Hyde, Christopher S Monk\",\"doi\":\"10.1093/scan/nsae083\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Mother-child closeness, a mutually trusting and affectionate bond, is an important factor in shaping positive youth development. However, little is known about the neural pathways through which mother-child closeness is related to brain organization. Utilizing a longitudinal sample primarily from low-income families (N = 181; 76% African American youth and 54% female), this study investigated the associations between mother-child closeness at ages 9 and 15 years and structural connectivity organization (network integration, robustness, and segregation) at age 15 years. The assessment of mother-child closeness included perspectives from both mother and child. The results revealed that greater mother-child closeness is linked with increased global efficiency and transitivity, but not with modularity. Specifically, both the mother's and child's reports of closeness at age 15 years predicted network metrics, but report at age 9 years did not. Our findings suggest that mother-child closeness is associated with neural white matter organization, as adolescents who experienced greater mother-child closeness displayed topological properties indicative of more integrated and robust structural networks.</p>\",\"PeriodicalId\":94208,\"journal\":{\"name\":\"Social cognitive and affective neuroscience\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11631430/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Social cognitive and affective neuroscience\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/scan/nsae083\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social cognitive and affective neuroscience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/scan/nsae083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mother-child closeness and adolescent structural neural networks: a prospective longitudinal study of low-income families.
Mother-child closeness, a mutually trusting and affectionate bond, is an important factor in shaping positive youth development. However, little is known about the neural pathways through which mother-child closeness is related to brain organization. Utilizing a longitudinal sample primarily from low-income families (N = 181; 76% African American youth and 54% female), this study investigated the associations between mother-child closeness at ages 9 and 15 years and structural connectivity organization (network integration, robustness, and segregation) at age 15 years. The assessment of mother-child closeness included perspectives from both mother and child. The results revealed that greater mother-child closeness is linked with increased global efficiency and transitivity, but not with modularity. Specifically, both the mother's and child's reports of closeness at age 15 years predicted network metrics, but report at age 9 years did not. Our findings suggest that mother-child closeness is associated with neural white matter organization, as adolescents who experienced greater mother-child closeness displayed topological properties indicative of more integrated and robust structural networks.