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Muchira JM, Mogos MF, S Dietrich M, Kimathi B, Ziegler C, Heerman WJ, Hall KS. Allostatic Load in Parents and Offspring: Sex Differences and Intergenerational Effects on Cardiovascular Disease-Free Survival. J Cardiovasc Nurs 2025:00005082-990000000-00252. [PMID: 39757378 DOI: 10.1097/jcn.0000000000001169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2025]
Abstract
BACKGROUND Allostatic load (AL), a measure of cumulative stress-related physiological dysregulation, predicts the onset of chronic diseases. We investigated the relationship between AL and cardiovascular disease (CVD)-free survival in parents and offspring, including sex-specific differences. METHODS The analysis consisted of 6145 offspring-mother-father trios derived from the Framingham Heart Study. Clinically defined cutoffs from 9 physiological biomarkers across biological systems were used to generate composite AL score. Assessments of the associations of AL with CVD-free survival were conducted using Kaplan-Meier plots, Irwin's restricted means, and Cox proportional hazards regression models. RESULTS Over a 47-year period, parents and offspring experienced 1832 and 1060 incident CVD events, respectively. Parents exhibited a notably higher prevalence of high AL (29.5%) and CVD incidence rate (17.2 per 1000 person-years) compared with offspring (13.2% and 8.9, respectively, both P < .001). High parental AL was associated with 30% higher incident CVD risk in offspring, with maternal AL biomarkers being more predictive of offspring CVD risk than paternal. Parents and offspring with low AL lived 12.5 and 13.4 years longer without CVD, respectively, compared with those with high AL. The hazards of incident CVD were highest in daughters with high AL, up to 2.8 times (hazard ratio, 2.83; 95% confidence interval, 1.71-4.67), with similar risk observed in sons and parents. CONCLUSION Parental AL is associated with offspring CVD risk, with maternal AL biomarkers having a stronger association. This highlights the critical role of parental and, more importantly, maternal health in CVD risk management and broader public health strategies.
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Kepinska O, Bouhali F, Degano G, Berthele R, Tanaka H, Hoeft F, Golestani N. Intergenerational transmission of the structure of the auditory cortex and reading skills. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.11.610780. [PMID: 39314393 PMCID: PMC11419080 DOI: 10.1101/2024.09.11.610780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/25/2024]
Abstract
High-level cognitive skill development relies on genetic and environmental factors, tied to brain structure and function. Inter-individual variability in language and music skills has been repeatedly associated with the structure of the auditory cortex: the shape, size and asymmetry of the transverse temporal gyrus (TTG) or gyri (TTGs). TTG is highly variable in shape and size, some individuals having one single gyrus (also referred to as Heschl's gyrus, HG) while others presenting duplications (with a common stem or fully separated) or higher-order multiplications of TTG. Both genetic and environmental influences on children's cognition, behavior, and brain can to some to degree be traced back to familial and parental factors. In the current study, using a unique MRI dataset of parents and children (135 individuals from 37 families), we ask whether the anatomy of the auditory cortex is related to reading skills, and whether there are intergenerational effects on TTG(s) anatomy. For this, we performed detailed, automatic segmentations of HG and of additional TTG(s), when present, extracting volume, surface area, thickness and shape of the gyri. We tested for relationships between these and reading skill, and assessed their degree of familial similarity and intergenerational transmission effects. We found that volume and area of all identified left TTG(s) combined was positively related to reading scores, both in children and adults. With respect to intergenerational similarities in the structure of the auditory cortex, we identified structural brain similarities for parent-child pairs of the 1st TTG (Heschl's gyrus, HG) (in terms of volume, area and thickness for the right HG, and shape for the left HG) and of the lateralization of all TTG(s) surface area for father-child pairs. Both the HG and TTG-lateralization findings were significantly more likely for parent-child dyads than for unrelated adult-child pairs. Furthermore, we established characteristics of parents' TTG that are related to better reading abilities in children: fathers' small left HG, and a small ratio of HG to planum temporale. Our results suggest intergenerational transmission of specific structural features of the auditory cortex; these may arise from genetics and/or from shared environment.
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Affiliation(s)
- Olga Kepinska
- Brain and Language Lab, Cognitive Science Hub, University of Vienna, Vienna, Austria
- Department of Behavioral and Cognitive Biology, Faculty of Life Sciences, University of Vienna, Vienna, Austria
| | | | - Giulio Degano
- Department of Psychology, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
| | - Raphael Berthele
- Institute of Multilingualism, University of Fribourg, Fribourg, Switzerland
| | - Hiroko Tanaka
- Department of Pediatrics, College of Medicine, University of Arizona, Tucson, AZ, USA
- Banner University Medical Center - Tucson, Tucson, AZ, USA
| | - Fumiko Hoeft
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
- Brain Imaging Research Center, University of Connecticut, Storrs, CT, USA
- Departments of Mathematics, Neuroscience, Psychiatry, Educational Psychology, Pediatrics, Computer Science and Engineering, University of Connecticut, Storrs, CT, USA
| | - Narly Golestani
- Brain and Language Lab, Cognitive Science Hub, University of Vienna, Vienna, Austria
- Department of Behavioral and Cognitive Biology, Faculty of Life Sciences, University of Vienna, Vienna, Austria
- Department of Psychology, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
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Constant-Varlet C, Nakai T, Prado J. Intergenerational transmission of brain structure and function in humans: a narrative review of designs, methods, and findings. Brain Struct Funct 2024; 229:1327-1348. [PMID: 38710874 DOI: 10.1007/s00429-024-02804-5] [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: 01/10/2024] [Accepted: 04/23/2024] [Indexed: 05/08/2024]
Abstract
Children often show cognitive and affective traits that are similar to their parents. Although this indicates a transmission of phenotypes from parents to children, little is known about the neural underpinnings of that transmission. Here, we provide a general overview of neuroimaging studies that explore the similarity between parents and children in terms of brain structure and function. We notably discuss the aims, designs, and methods of these so-called intergenerational neuroimaging studies, focusing on two main designs: the parent-child design and the multigenerational design. For each design, we also summarize the major findings, identify the sources of variability between studies, and highlight some limitations and future directions. We argue that the lack of consensus in defining the parent-child transmission of brain structure and function leads to measurement heterogeneity, which is a challenge for future studies. Additionally, multigenerational studies often use measures of family resemblance to estimate the proportion of variance attributed to genetic versus environmental factors, though this estimate is likely inflated given the frequent lack of control for shared environment. Nonetheless, intergenerational neuroimaging studies may still have both clinical and theoretical relevance, not because they currently inform about the etiology of neuromarkers, but rather because they may help identify neuromarkers and test hypotheses about neuromarkers coming from more standard neuroimaging designs.
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Affiliation(s)
- Charlotte Constant-Varlet
- Centre de Recherche en Neurosciences de Lyon (CRNL), INSERM U1028 - CNRS UMR5292, Université de Lyon, Bron, France.
| | - Tomoya Nakai
- Centre de Recherche en Neurosciences de Lyon (CRNL), INSERM U1028 - CNRS UMR5292, Université de Lyon, Bron, France
- Araya Inc., Tokyo, Japan
| | - Jérôme Prado
- Centre de Recherche en Neurosciences de Lyon (CRNL), INSERM U1028 - CNRS UMR5292, Université de Lyon, Bron, France.
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Fan Z, Shi X, Zhang W, Zhang B. The effect of parental regulatory focus on the loneliness stigma of college children. BMC Public Health 2024; 24:273. [PMID: 38263059 PMCID: PMC10804773 DOI: 10.1186/s12889-024-17714-8] [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: 08/05/2023] [Accepted: 01/09/2024] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND The present study aimed to examine the relationship between regulatory focus and loneliness stigma, as well as the intergenerational transmission of the two. Specifically, the study analyzed the effects of fathers' and mothers' regulatory focus on their own and their spouses' stigma of loneliness. In addition, a mediation model was constructed to explore how parents' regulatory focus influences their children's stigma of loneliness and the potential mediating mechanisms involved. METHODS Questionnaires were distributed to 470 college students and their parents, employing the Regulatory Focus Questionnaire (RFQ) and the Stigma of Loneliness Scale (SLS) to collect data. RESULTS The analysis of intergenerational transmission effects revealed that parents' regulatory focus and loneliness stigma significantly and positively predicted children's regulatory focus and loneliness stigma, respectively. The Actor-Partner Interdependence Model (APIM) elucidated that both fathers' and mothers' promotion focus exerted significant influence on both actor and partner's loneliness stigma. Furthermore, the mediation model analysis indicated that parents' loneliness stigma, along with children's regulatory focus operate as mediators in the influence of parental regulatory focus on loneliness stigma of their college-aged offspring. CONCLUSIONS From a familial context, this study, investigated the association between regulatory focus and loneliness stigma, along with the mediating roles within parent-child groups and couples. The findings enhanced our comprehension of the interrelation between regulatory focus and loneliness stigma, underpinned by empirical evidence.
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Affiliation(s)
- Zhiguang Fan
- Department of Psychology, Shaoxing University, Zhejiang, China
| | - Xiaoli Shi
- School of Education, Jilin International Studies University, Jilin, China
| | - Wei Zhang
- Higher Education Press, Beijing, China
| | - Bin Zhang
- School of Marxism, Changchun University of Chinese Medicine, Changchun, China.
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Dimanova P, Borbás R, Raschle NM. From mother to child: How intergenerational transfer is reflected in similarity of corticolimbic brain structure and mental health. Dev Cogn Neurosci 2023; 64:101324. [PMID: 37979300 PMCID: PMC10692656 DOI: 10.1016/j.dcn.2023.101324] [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: 05/24/2023] [Revised: 10/31/2023] [Accepted: 11/10/2023] [Indexed: 11/20/2023] Open
Abstract
BACKGROUND Intergenerational transfer effects include traits transmission from parent to child. While behaviorally well documented, studies on intergenerational transfer effects for brain structure or functioning are scarce, especially those examining relations of behavioral and neurobiological endophenotypes. This study aims to investigate behavioral and neural intergenerational transfer effects associated with the corticolimbic circuitry, relevant for socioemotional functioning and mental well-being. METHODS T1-neuroimaging and behavioral data was obtained from 72 participants (39 mother-child dyads/ 39 children; 7-13 years; 16 girls/ 33 mothers; 26-52 years). Gray matter volume (GMV) was extracted from corticolimbic regions (subcortical: amygdala, hippocampus, nucleus accumbens; neocortical: anterior cingulate, medial orbitofrontal areas). Mother-child similarity was quantified by correlation coefficients and comparisons to random adult-child pairs. RESULTS We identified significant corticolimbic mother-child similarity (r = 0.663) stronger for subcortical over neocortical regions. Mother-child similarity in mental well-being was significant (r = 0.409) and the degree of dyadic similarity in mental well-being was predicted by similarity in neocortical, but not subcortical GMV. CONCLUSION Intergenerational neuroimaging reveals significant mother-child transfer for corticolimbic GMV, most strongly for subcortical regions. However, variations in neocortical similarity predicted similarity in mother-child well-being. Ultimately, such techniques may enhance our knowledge of behavioral and neural familial transfer effects relevant for health and disease.
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Affiliation(s)
- Plamina Dimanova
- Jacobs Center for Productive Youth Development, University of Zurich, Zurich, Switzerland; Neuroscience Center Zurich, University and ETH Zurich, Zurich, Switzerland.
| | - Réka Borbás
- Jacobs Center for Productive Youth Development, University of Zurich, Zurich, Switzerland
| | - Nora Maria Raschle
- Jacobs Center for Productive Youth Development, University of Zurich, Zurich, Switzerland; Neuroscience Center Zurich, University and ETH Zurich, Zurich, Switzerland.
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Matsudaira I, Yamaguchi R, Taki Y. Transmit Radiant Individuality to Offspring (TRIO) study: investigating intergenerational transmission effects on brain development. Front Psychiatry 2023; 14:1150973. [PMID: 37840799 PMCID: PMC10568142 DOI: 10.3389/fpsyt.2023.1150973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 09/07/2023] [Indexed: 10/17/2023] Open
Abstract
Intergenerational transmission is a crucial aspect of human development. Although prior studies have demonstrated the continuity of psychopathology and maladaptive upbringing environments between parents and offspring, the underlying neurobiological mechanisms remain unclear. We have begun a novel neuroimaging research project, the Transmit Radiant Individuality to Offspring (TRIO) study, which focuses on biological parent-offspring trios. The participants of the TRIO study were Japanese parent-offspring trios consisting of offspring aged 10-40 and their biological mother and father. Structural and functional brain images of all participants were acquired using magnetic resonance imaging (MRI). Saliva samples were collected for DNA analysis. We obtained psychosocial information, such as intelligence, mental health problems, personality traits, and experiences during the developmental period from each parent and offspring in the same manner as much as possible. By April 2023, we completed data acquisition from 174 trios consisting of fathers, mothers, and offspring. The target sample size was 310 trios. However, we plan to conduct genetic and epigenetic analyses, and the sample size is expected to be expanded further while developing this project into a multi-site collaborative study in the future. The TRIO study can challenge the elucidation of the mechanism of intergenerational transmission effects on human development by collecting diverse information from parents and offspring at the molecular, neural, and behavioral levels. Our study provides interdisciplinary insights into how individuals' lives are involved in the construction of the lives of their descendants in the subsequent generation.
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Affiliation(s)
- Izumi Matsudaira
- Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai, Japan
- Smart-Aging Research Center, Tohoku University, Sendai, Japan
| | - Ryo Yamaguchi
- Japan Society for the Promotion of Science, Tokyo, Japan
- Department of Medical Sciences, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Smart-Aging Research Center, Tohoku University, Sendai, Japan
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Alex AM, Buss C, Davis EP, Campos GDL, Donald KA, Fair DA, Gaab N, Gao W, Gilmore JH, Girault JB, Grewen K, Groenewold NA, Hankin BL, Ipser J, Kapoor S, Kim P, Lin W, Luo S, Norton ES, O'Connor TG, Piven J, Qiu A, Rasmussen JM, Skeide MA, Stein DJ, Styner MA, Thompson PM, Wakschlag L, Knickmeyer R. Genetic Influences on the Developing Young Brain and Risk for Neuropsychiatric Disorders. Biol Psychiatry 2023; 93:905-920. [PMID: 36932005 PMCID: PMC10136952 DOI: 10.1016/j.biopsych.2023.01.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 01/09/2023] [Accepted: 01/11/2023] [Indexed: 01/30/2023]
Abstract
Imaging genetics provides an opportunity to discern associations between genetic variants and brain imaging phenotypes. Historically, the field has focused on adults and adolescents; very few imaging genetics studies have focused on brain development in infancy and early childhood (from birth to age 6 years). This is an important knowledge gap because developmental changes in the brain during the prenatal and early postnatal period are regulated by dynamic gene expression patterns that likely play an important role in establishing an individual's risk for later psychiatric illness and neurodevelopmental disabilities. In this review, we summarize findings from imaging genetics studies spanning from early infancy to early childhood, with a focus on studies examining genetic risk for neuropsychiatric disorders. We also introduce the Organization for Imaging Genomics in Infancy (ORIGINs), a working group of the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) consortium, which was established to facilitate large-scale imaging genetics studies in infancy and early childhood.
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Affiliation(s)
- Ann M Alex
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, Michigan
| | - Claudia Buss
- Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Medical Psychology, Berlin, Germany; Department of Pediatrics, University of California Irvine, Irvine, California; Development, Health and Disease Research Program, University of California Irvine, Irvine, California
| | - Elysia Poggi Davis
- Department of Pediatrics, University of California Irvine, Irvine, California; Department of Psychology, University of Denver, Denver, Colorado
| | - Gustavo de Los Campos
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, Michigan; Departments of Epidemiology & Biostatistics, Michigan State University, East Lansing, Michigan; Department of Statistics & Probability, Michigan State University, East Lansing, Michigan
| | - Kirsten A Donald
- Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa; Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Damien A Fair
- Masonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, Minnesota; Institute of Child Development, College of Education and Human Development, University of Minnesota, Minneapolis, Minnesota; Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Nadine Gaab
- Harvard Graduate School of Education, Harvard University, Cambridge, Massachusetts
| | - Wei Gao
- Cedars-Sinai Biomedical Imaging Research Institute, Los Angeles, California; Departments of Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, California
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina
| | - Jessica B Girault
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina; Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, North Carolina
| | - Karen Grewen
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina
| | - Nynke A Groenewold
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa; South African Medical Research Council Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa; Department of Paediatrics and Child Health, University of Cape Town, Faculty of Health Sciences, Cape Town, South Africa
| | - Benjamin L Hankin
- Psychology Department, University of Illinois Urbana,-Champaign, Illinois
| | - Jonathan Ipser
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Shreya Kapoor
- Research Group Learning in Early Childhood, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Pilyoung Kim
- Department of Psychology, University of Denver, Denver, Colorado
| | - Weili Lin
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Shan Luo
- Department of Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, California; Department of Psychology, University of Southern California, Los Angeles, California; Center for Endocrinology, Diabetes and Metabolism, Children's Hospital Los Angeles, Los Angeles, California
| | - Elizabeth S Norton
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois; Department of Medical Social Sciences and Institute for Innovations in Developmental Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Thomas G O'Connor
- Departments of Psychiatry, Psychology, Neuroscience, Obstetrics and Gynecology, University of Rochester, Rochester, New York
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina; Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, North Carolina
| | - Anqi Qiu
- Department of Biomedical Engineering, National University of Singapore, Singapore; NUS (Suzhou) Research Institute, National University of Singapore, China; the Institute for Health, National University of Singapore, Singapore; School of Computer Engineering and Science, Shanghai University, Shanghai, China; Institute of Data Science, National University of Singapore, Singapore; Department of Biomedical Engineering, the Johns Hopkins University, Baltimore, Maryland
| | - Jerod M Rasmussen
- Department of Pediatrics, University of California Irvine, Irvine, California; Development, Health and Disease Research Program, University of California Irvine, Irvine, California
| | - Michael A Skeide
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina; Research Group Learning in Early Childhood, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Dan J Stein
- South African Medical Research Council Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, Cape Town, South Africa; Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Martin A Styner
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of University of the Sunshine Coast, Marina del Rey, California
| | - Laurie Wakschlag
- Department of Medical Social Sciences and Institute for Innovations in Developmental Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Rebecca Knickmeyer
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, Michigan; Department of Pediatrics and Human Development, Michigan State University, East Lansing, Michigan.
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Kasai K, Yagishita S, Tanaka SC, Koike S, Murai T, Nishida A, Yamasaki S, Ando S, Kawakami N, Kanehara A, Morita K, Kumakura Y, Takahashi Y, Sawai Y, Uno A, Sakakibara E, Okada N, Okamoto Y, Nochi M, Kumagaya S, Fukuda M. Personalized values in life as point of interaction with the world: Developmental/neurobehavioral basis and implications for psychiatry. PCN REPORTS : PSYCHIATRY AND CLINICAL NEUROSCIENCES 2022; 1:e12. [PMID: 38868641 PMCID: PMC11114269 DOI: 10.1002/pcn5.12] [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: 12/15/2021] [Revised: 04/08/2022] [Accepted: 04/16/2022] [Indexed: 06/14/2024]
Abstract
Behavioral neuroscience has dealt with short-term decision making but has not defined either daily or longer-term life actions. The individual brain interacts with the society/world, but where that point of action is and how it interacts has never been an explicit scientific question. Here, we redefine value as an intrapersonal driver of medium- and long-term life actions. Value has the following three aspects. The first is value as a driving force of action, a factor that commits people to take default-mode or intrinsic actions daily and longer term. It consists of value memories based on past experiences, and a sense of values, the source of choosing actions under uncertain circumstances. It is also a multilayered structure of unconscious/automatic and conscious/self-controlled. The second is personalized value, which focuses not only on the value of human beings in general, but on the aspect that is individualized and personalized, which is the foundation of diversity in society. Third, the value is developed through the life course. It is necessary to clarify how values are personalized through the internalization of parent-child, peer, and social experiences through adolescence, a life stage almost neglected in neuroscience. This viewpoint describes the brain and the behavioral basis of adolescence in which the value and its personalization occur, and the importance of this personalized value as a point of interaction between the individual brain and the world. Then the significance of personalized values in psychiatry is discussed, and the concept of values-informed psychiatry is proposed.
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Affiliation(s)
- Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of MedicineThe University of TokyoTokyoJapan
- The International Research Center for Neurointelligence at The University of Tokyo Institutes for Advanced StudyThe University of TokyoTokyoJapan
- University of Tokyo Institute for Diversity & Adaptation of Human MindTokyoJapan
- UTokyo Center for Integrative Science of Human Behavior, Graduate School of Art and SciencesThe University of TokyoTokyoJapan
| | - Sho Yagishita
- Department of Structural Physiology, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Saori C. Tanaka
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes InternationalKyotoJapan
- Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and TechnologyNaraJapan
| | - Shinsuke Koike
- The International Research Center for Neurointelligence at The University of Tokyo Institutes for Advanced StudyThe University of TokyoTokyoJapan
- University of Tokyo Institute for Diversity & Adaptation of Human MindTokyoJapan
- UTokyo Center for Integrative Science of Human Behavior, Graduate School of Art and SciencesThe University of TokyoTokyoJapan
- Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of TokyoTokyoJapan
| | - Toshiya Murai
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Atsushi Nishida
- Research Center for Social Science & MedicineTokyo Metropolitan Institute of Medical ScienceTokyoJapan
| | - Syudo Yamasaki
- Research Center for Social Science & MedicineTokyo Metropolitan Institute of Medical ScienceTokyoJapan
| | - Shuntaro Ando
- Department of Neuropsychiatry, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Norito Kawakami
- Department of Mental Health, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Akiko Kanehara
- Department of Neuropsychiatry, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Kentaro Morita
- Department of Rehabilitation, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Yousuke Kumakura
- Department of Mental Health, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Yusuke Takahashi
- Department of Neuropsychiatry, Graduate School of MedicineThe University of TokyoTokyoJapan
- St Luke's International HospitalTokyoJapan
| | - Yutaka Sawai
- Department of Neuropsychiatry, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Akito Uno
- Department of Neuropsychiatry, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Eisuke Sakakibara
- Department of Neuropsychiatry, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Naohiro Okada
- The International Research Center for Neurointelligence at The University of Tokyo Institutes for Advanced StudyThe University of TokyoTokyoJapan
| | - Yasumasa Okamoto
- Department of Psychiatry and NeurosciencesHiroshima UniversityHiroshimaJapan
| | - Masahiro Nochi
- Department of Clinical Psychology, Graduate School of EducationThe University of TokyoTokyoJapan
| | - Shin‐ichiro Kumagaya
- Tojisha‐Kenkyu Laboratory, Research Center for Advanced Science and TechnologyThe University of TokyoTokyoJapan
| | - Masato Fukuda
- Department of Psychiatry and Neuroscience, Graduate School of MedicineGunma UniversityGunmaJapan
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9
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Fehlbaum LV, Peters L, Dimanova P, Roell M, Borbás R, Ansari D, Raschle NM. Mother-child similarity in brain morphology: A comparison of structural characteristics of the brain's reading network. Dev Cogn Neurosci 2022; 53:101058. [PMID: 34999505 PMCID: PMC8749220 DOI: 10.1016/j.dcn.2022.101058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 11/19/2021] [Accepted: 01/03/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Substantial evidence acknowledges the complex gene-environment interplay impacting brain development and learning. Intergenerational neuroimaging allows the assessment of familial transfer effects on brain structure, function and behavior by investigating neural similarity in caregiver-child dyads. METHODS Neural similarity in the human reading network was assessed through well-used measures of brain structure (i.e., surface area (SA), gyrification (lG), sulcal morphology, gray matter volume (GMV) and cortical thickness (CT)) in 69 mother-child dyads (children's age~11 y). Regions of interest for the reading network included left-hemispheric inferior frontal gyrus, inferior parietal lobe and fusiform gyrus. Mother-child similarity was quantified by correlation coefficients and familial specificity was tested by comparison to random adult-child dyads. Sulcal morphology analyses focused on occipitotemporal sulcus interruptions and similarity was assessed by chi-square goodness of fit. RESULTS Significant structural brain similarity was observed for mother-child dyads in the reading network for lG, SA and GMV (r = 0.349/0.534/0.542, respectively), but not CT. Sulcal morphology associations were non-significant. Structural brain similarity in lG, SA and GMV were specific to mother-child pairs. Furthermore, structural brain similarity for SA and GMV was higher compared to CT. CONCLUSION Intergenerational neuroimaging techniques promise to enhance our knowledge of familial transfer effects on brain development and disorders.
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Affiliation(s)
- Lynn V Fehlbaum
- Jacobs Center for Productive Youth Development at the University of Zurich, Zurich, Switzerland
| | - Lien Peters
- Numerical Cognition Laboratory, Department of Psychology and Brain and Mind Institute, University of Western Ontario, London, Canada
| | - Plamina Dimanova
- Jacobs Center for Productive Youth Development at the University of Zurich, Zurich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Switzerland
| | - Margot Roell
- Parenting and Special Education Research Unit, Faculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium
| | - Réka Borbás
- Jacobs Center for Productive Youth Development at the University of Zurich, Zurich, Switzerland
| | - Daniel Ansari
- Numerical Cognition Laboratory, Department of Psychology and Brain and Mind Institute, University of Western Ontario, London, Canada
| | - Nora M Raschle
- Jacobs Center for Productive Youth Development at the University of Zurich, Zurich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Switzerland.
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