Intergenerational transmission of the patterns of functional and structural brain networks
Yu Takagi,
Naohiro Okada,
Shuntaro Ando,
Noriaki Yahata,
Kentaro Morita,
Daisuke Koshiyama,
Shintaro Kawakami,
Kingo Sawada,
Shinsuke Koike,
Kaori Endo,
Syudo Yamasaki,
Atsushi Nishida,
Kiyoto Kasai,
Saori C Tanaka
Affiliations
Yu Takagi
Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; ATR Brain Information Communication Research Laboratory Group, Kyoto, Japan; Corresponding author
Naohiro Okada
Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; International Research Center for Neurointelligence (WPI-IRCN), University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan
Shuntaro Ando
Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Research Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
Noriaki Yahata
Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Institute for Quantum Life Science, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan; Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
Kentaro Morita
Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Department of Rehabilitation, The University of Tokyo Hospital, Tokyo, Japan
Daisuke Koshiyama
Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
Shintaro Kawakami
Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
Kingo Sawada
Office for Mental Health Support, Mental Health Unit, Division for Practice Research, Center for Research on Counseling and Support Services, The University of Tokyo, Tokyo, Japan
Shinsuke Koike
International Research Center for Neurointelligence (WPI-IRCN), University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan; University of Tokyo Institute for Diversity and Adaptation of Human Mind (UTIDAHM), The University of Tokyo, Tokyo, Japan; Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, Japan; University of Tokyo Center for Integrative Science of Human Behavior (CiSHuB), Tokyo, Japan
Kaori Endo
Research Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
Syudo Yamasaki
Research Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
Atsushi Nishida
Research Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
Kiyoto Kasai
Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; International Research Center for Neurointelligence (WPI-IRCN), University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan; University of Tokyo Institute for Diversity and Adaptation of Human Mind (UTIDAHM), The University of Tokyo, Tokyo, Japan; University of Tokyo Center for Integrative Science of Human Behavior (CiSHuB), Tokyo, Japan
Saori C Tanaka
ATR Brain Information Communication Research Laboratory Group, Kyoto, Japan
Summary: There is clear evidence of intergenerational transmission of life values, cognitive traits, psychiatric disorders, and even aspects of daily decision making. To investigate biological substrates of this phenomenon, the brain has received increasing attention as a measurable biomarker and potential target for intervention. However, no previous study has quantitatively and comprehensively investigated the effects of intergenerational transmission on functional and structural brain networks. Here, by employing an unusually large cohort dataset (N = 84 parent-child dyads; 45 sons, 39 daughters, 81 mothers, and 3 fathers), we show that patterns of functional and structural brain networks are preserved over a generation. We also demonstrate that several demographic factors and behavioral/physiological phenotypes have a relationship with brain similarity. Collectively, our results provide a comprehensive picture of neurobiological substrates of intergenerational transmission and demonstrate the usability of our dataset for investigating the neurobiological substrates of intergenerational transmission.
