Salk RH, Hyde JS, Abramson LY. Gender differences in depression in representative national samples: meta-analyses of diagnoses and symptoms. Psychol Bull. 2017;143:783–822.

PubMed 
PubMed Central 

Google Scholar
 

Weissman MM, Klerman GL. Sex differences and the epidemiology of depression. Arch Gen Psychiatry. 1977;34:98–111.

CAS 
PubMed 

Google Scholar
 

Dorfschmidt L, Bethlehem RA, Seidlitz J, Váša F, White SR, Romero-García R, et al. Sexually divergent development of depression-related brain networks during healthy human adolescence. Sci Adv. 2022;8:eabm7825.

CAS 
PubMed 
PubMed Central 

Google Scholar
 

Breslau J, Gilman SE, Stein BD, Ruder T, Gmelin T, Miller E. Sex differences in recent first-onset depression in an epidemiological sample of adolescents. Transl Psychiatry. 2017;7:e1139.

CAS 
PubMed 
PubMed Central 

Google Scholar
 

Nolen-Hoeksema S, Girgus JS. The emergence of gender differences in depression during adolescence. Psychol Bull. 1994;115:424–43.

CAS 
PubMed 

Google Scholar
 

Sterba SK, Prinstein MJ, Cox MJ. Trajectories of internalizing problems across childhood: heterogeneity, external validity, and gender differences. Dev Psychopathol. 2007;19:345–66.

PubMed 

Google Scholar
 

Kendler KS, Gardner CO. Sex differences in the pathways to major depression: a study of opposite-sex twin pairs. Am J Psychiatry. 2014;171:426–35.

PubMed 
PubMed Central 

Google Scholar
 

Fandakova Y, Hartley CA. Mechanisms of learning and plasticity in childhood and adolescence. Dev Cogn Neurosci. 2020;42:100764.

PubMed 
PubMed Central 

Google Scholar
 

Whittle S, Yücel M, Fornito A, Barrett A, Wood SJ, Lubman DI, et al. Neuroanatomical correlates of temperament in early adolescents. J Am Acad Child Adolesc Psychiatry. 2008;47:682–93.

PubMed 

Google Scholar
 

Sripada C, Rutherford S, Angstadt M, Thompson WK, Luciana M, Weigard A, et al. Prediction of neurocognition in youth from resting state fMRI. Mol Psychiatry. 2020;25:3413–21.

PubMed 

Google Scholar
 

Xue K, Gao B, Chen F, Wang M, Cheng J, Zhang B, et al. Covariation of preadult environmental exposures, adult brain imaging phenotypes, and adult personality traits. Mol Psychiatry. 2023;28:4853–66.

PubMed 

Google Scholar
 

Chan SY, Fitzgerald E, Ngoh ZM, Lee J, Chuah J, Chia JSM, et al. Examining the associations between microglia genetic capacity, early life exposures and white matter development at the level of the individual. Brain Behav Immun. 2024;119:781–91.

CAS 
PubMed 

Google Scholar
 

Li Q, Xiao M, Song S, Huang Y, Chen X, Liu Y, et al. The personality dispositions and resting-state neural correlates associated with aggressive children. Soc Cogn Affect Neurosci. 2020;15:1004–16.

PubMed 
PubMed Central 

Google Scholar
 

Bethlehem RAI, Seidlitz J, White SR, Vogel JW, Anderson KM, Adamson C, et al. Brain charts for the human lifespan. Nature. 2022;604:525–33.

CAS 
PubMed 
PubMed Central 

Google Scholar
 

Wu K, Taki Y, Sato K, Hashizume H, Sassa Y, Takeuchi H, et al. Topological organization of functional brain networks in healthy children: differences in relation to age, sex, and intelligence. PLoS ONE. 2013;8:e55347.

CAS 
PubMed 
PubMed Central 

Google Scholar
 

Serio B, Hettwer MD, Wiersch L, Bignardi G, Sacher J, Weis S, et al. Sex differences in functional cortical organization reflect differences in network topology rather than cortical morphometry. Nat Commun. 2024;15:7714.

CAS 
PubMed 
PubMed Central 

Google Scholar
 

Baum GL, Cui Z, Roalf DR, Ciric R, Betzel RF, Larsen B, et al. Development of structure-function coupling in human brain networks during youth. Proc Natl Acad Sci USA. 2020;117:771–8.

CAS 
PubMed 

Google Scholar
 

van Velzen, Kelly LS, Isaev S, Aleman D, Aftanas LI A, Bauer J, et al. White matter disturbances in major depressive disorder: a coordinated analysis across 20 international cohorts in the ENIGMA MDD working group. Mol Psychiatry. 2020;25:1511–25.

PubMed 

Google Scholar
 

Kaiser RH, Andrews-Hanna JR, Wager TD, Pizzagalli DA. Large-scale network dysfunction in major depressive disorder: a meta-analysis of resting-state functional connectivity. JAMA Psychiatry. 2015;72:603–11.

PubMed 
PubMed Central 

Google Scholar
 

Chan SY, Ngoh ZM, Ong ZY, Teh AL, Kee MZL, Zhou JH, et al. The influence of early-life adversity on the coupling of structural and functional brain connectivity across childhood. Nature Mental Health. 2024;2:52–62.

CAS 

Google Scholar
 

Roubinov D, Meaney MJ, Boyce WT. Change of pace: How developmental tempo varies to accommodate failed provision of early needs. Neurosci Biobehav Rev. 2021;131:120–34.

PubMed 
PubMed Central 

Google Scholar
 

Tooley UA, Bassett DS, Mackey AP. Environmental influences on the pace of brain development. Nat Rev Neurosci. 2021;22:372–84.

CAS 
PubMed 
PubMed Central 

Google Scholar
 

Callaghan BL, Tottenham N. The stress acceleration hypothesis: effects of early-life adversity on emotion circuits and behavior. Curr Opin Behav Sci. 2016;7:76–81.

PubMed 

Google Scholar
 

Ballester PL, Romano MT, de Azevedo Cardoso T, Hassel S, Strother SC, Kennedy SH, et al. Brain age in mood and psychotic disorders: a systematic review and meta-analysis. Acta Psychiatr Scand. 2022;145:42–55.

PubMed 

Google Scholar
 

Soh SE, Tint MT, Gluckman PD, Godfrey KM, Rifkin-Graboi A, Chan YH, et al. Cohort profile: growing up in Singapore towards healthy outcomes (GUSTO) birth cohort study. Int J Epidemiol. 2014;43:1401–9.

PubMed 

Google Scholar
 

Soh SE, Chong YS, Kwek K, Saw SM, Meaney MJ, Gluckman PD, et al. Insights from the growing up in Singapore towards healthy outcomes (GUSTO) cohort study. Ann Nutr Metab. 2014;64:218–25.

PubMed 

Google Scholar
 

Kovacs M. Children’s depression inventory (CDI and CDI 2). The Encyclopedia of Clinical Psychology. 2015; p. 1–5.

von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP. Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. BMJ. 2007;335:806–8.


Google Scholar
 

Huang P, Chan SY, Ngoh ZM, Nadarajan R, Chong YS, Gluckman PD, et al. Functional connectivity analysis of childhood depressive symptoms. NeuroImage: Clinical. 2023;38:103395.

PubMed 
PubMed Central 

Google Scholar
 

Chan SY, Ong ZY, Ngoh ZM, Chong YS, Zhou JH, Fortier MV, et al. Structure-function coupling within the reward network in preschool children predicts executive functioning in later childhood. Developmental Cognitive Neuroscience. 2022;55:101107.

PubMed 
PubMed Central 

Google Scholar
 

Yeo BT, Tandi J, Chee MW. Functional connectivity during rested wakefulness predicts vulnerability to sleep deprivation. Neuroimage. 2015;111:147–58.

PubMed 

Google Scholar
 

Beer JC, Tustison NJ, Cook PA, Davatzikos C, Sheline YI, Shinohara RT, et al. Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data. Neuroimage. 2020;220:117129.

PubMed 
PubMed Central 

Google Scholar
 

Melton TH, Croarkin PE, Strawn JR, McClintock SM. Comorbid anxiety and depressive symptoms in children and adolescents: a systematic review and analysis. J Psychiatr Pract. 2016;22:84–98.

PubMed 
PubMed Central 

Google Scholar
 

Achenbach TM, Rescorla LA. Manual for the ASEBA School-Age Forms & Profiles. Burlington, VT: University of Vermont, Research Center for Children, Youth, & Families; 2001.


Google Scholar
 

Achenbach TM. DSM Guide for the ASEBA. Burlington, VT: University of Vermont, Research Center for Children, Youth, & Families; 2013.


Google Scholar
 

March JS, Parker JD, Sullivan K, Stallings P, Conners CK. The Multidimensional Anxiety Scale for Children (MASC): factor structure, reliability, and validity. J Am Acad Child Adolesc Psychiatry. 1997;36:554–65.

CAS 
PubMed 

Google Scholar
 

Silveira PP, Pokhvisneva I, Parent C, Cai S, Rema ASS, Broekman BFP, et al. Cumulative prenatal exposure to adversity reveals associations with a broad range of neurodevelopmental outcomes that are moderated by a novel, biologically informed polygenetic score based on the serotonin transporter solute carrier family C6, member 4 (SLC6A4) gene expression. Dev Psychopathol. 2017;29:1601–17.

PubMed 

Google Scholar
 

O’Donnell KJ, Meaney MJ. Fetal origins of mental health: the developmental origins of health and disease hypothesis. Am J Psychiatry. 2017;174:319–28.

PubMed 

Google Scholar
 

Shonkoff JP, Boyce WT, McEwen BS. Neuroscience, molecular biology, and the childhood roots of health disparities: building a new framework for health promotion and disease prevention. JAMA. 2009;301:2252–9.

CAS 
PubMed 

Google Scholar
 

Pearson RM, Evans J, Kounali D, Lewis G, Heron J, Ramchandani PG, et al. Maternal depression during pregnancy and the postnatal period: risks and possible mechanisms for offspring depression at age 18 years. JAMA Psychiatry. 2013;70:1312–9.

PubMed 
PubMed Central 

Google Scholar
 

Silveira PP, Pokhvisneva I, Howard DM, Meaney MJ. A sex-specific genome-wide association study of depression phenotypes in UK Biobank. Mol Psychiatry. 2023;28:2469–79.

CAS 
PubMed 
PubMed Central 

Google Scholar
 

Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24:385–96.

CAS 
PubMed 

Google Scholar
 

Cristóbal-Narváez P, Haro JM, Koyanagi A. Perceived stress and depression in 45 low- and middle-income countries. J Affect Disord. 2020;274:799–805.

PubMed 

Google Scholar
 

Herrenkohl TI, Kosterman R, Mason WA, Hawkins JD, McCarty CA, McCauley E. Effects of childhood conduct problems and family adversity on health, health behaviors, and service use in early adulthood: tests of developmental pathways involving adolescent risk taking and depression. Dev Psychopathol. 2010;22:655–65.

PubMed 
PubMed Central 

Google Scholar
 

Lesch KP. Gene-environment interaction and the genetics of depression. J Psychiatry Neurosci. 2004;29:174–84.

PubMed 
PubMed Central 

Google Scholar
 

R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2021.


Google Scholar
 

Wood S. Generalized Additive Models: An Introduction With R, Second Edition. New York: Chapman and Hall/CRC; 2017. 496 p.

Falk RF, Miller NB. A Primer for Soft Modeling. Akron: University of Akron Press; 1992.


Google Scholar
 

Pirouz DM. An overview of partial least squares. SSRN. 2006;1–16.

Boulesteix A-L, Strimmer K. Partial least squares: a versatile tool for the analysis of high-dimensional genomic data. Brief Bioinform. 2006;8:32–44.

PubMed 

Google Scholar
 

Krishnan A, Williams LJ, McIntosh AR, Abdi H. Partial least squares (PLS) methods for neuroimaging: a tutorial and review. Neuroimage. 2011;56:455–75.

PubMed 

Google Scholar
 

McIntosh AR, Lobaugh NJ. Partial least squares analysis of neuroimaging data: applications and advances. Neuroimage. 2004;23:S250–63.

PubMed 

Google Scholar
 

Abdi H, Williams LJ. Partial least squares methods: partial least squares correlation and partial least square regression. Methods Mol Biol. 2013;930:549–79.

CAS 
PubMed 

Google Scholar
 

Beaton D, Chin Fatt CR, Abdi H. An ExPosition of multivariate analysis with the singular value decomposition in R. Comput Stat Data Anal. 2014;72:176–89.


Google Scholar
 

Abdi H. PTCA4CATA: Partial Triadic Analysis (PTCA) for Check All That Apply (CATA) Data. 0.1.0 ed. R package 2024.

Diedenhofen B, Musch J. cocor: a comprehensive solution for the statistical comparison of correlations. PLoS ONE. 2015;10:e0121945.

PubMed 
PubMed Central 

Google Scholar
 

Rolls ET. Limbic systems for emotion and for memory, but no single limbic system. Cortex. 2015;62:119–57.

PubMed 

Google Scholar
 

Rolls ET. The cingulate cortex and limbic systems for emotion, action, and memory. Brain Struct Funct. 2019;224:3001–18.

PubMed 
PubMed Central 

Google Scholar
 

Apps MA, Lockwood PL, Balsters JH. The role of the midcingulate cortex in monitoring others’ decisions. Front Neurosci. 2013;7:251.

PubMed 
PubMed Central 

Google Scholar
 

De Bellis MD, Keshavan MS, Beers SR, Hall J, Frustaci K, Masalehdan A, et al. Sex differences in brain maturation during childhood and adolescence. Cereb Cortex. 2001;11:552–7.

PubMed 

Google Scholar
 

Kaczkurkin AN, Raznahan A, Satterthwaite TD. Sex differences in the developing brain: insights from multimodal neuroimaging. Neuropsychopharmacology. 2019;44:71–85.

PubMed 

Google Scholar
 

Dimond D, Rohr CS, Smith RE, Dhollander T, Cho I, Lebel C, et al. Early childhood development of white matter fiber density and morphology. Neuroimage. 2020;210:116552.

PubMed 

Google Scholar
 

Menon V. Developmental pathways to functional brain networks: emerging principles. Trends Cogn Sci. 2013;17:627–40.

PubMed 

Google Scholar
 

Chen H, Liu J, Chen Y, Salzwedel A, Cornea E, Gilmore JH, et al. Developmental heatmaps of brain functional connectivity from newborns to 6-year-olds. Dev Cogn Neurosci. 2021;50:100976.

PubMed 
PubMed Central 

Google Scholar
 

Brandlistuen RE, Flatø M, Stoltenberg C, Helland SS, Wang MV. Gender gaps in preschool age: A study of behavior, neurodevelopment and pre-academic skills. Scand J Public Health. 2021;49:503–10.

PubMed 

Google Scholar
 

Sheldrick RC, Schlichting LE, Berger B, Clyne A, Ni P, Perrin EC, et al. Establishing new norms for developmental milestones. Pediatrics. 2019;144:e20190374.

PubMed 
PubMed Central 

Google Scholar
 

Keding TJ, Heyn SA, Russell JD, Zhu X, Cisler J, McLaughlin KA, et al. Differential patterns of delayed emotion circuit maturation in abused girls with and without internalizing psychopathology. Am J Psychiatry. 2021;178:1026–36.

PubMed 
PubMed Central 

Google Scholar
 

Jha MK, Chin Fatt C, Minhajuddin A, Mayes TL, Trivedi MH. Accelerated brain aging in adults with major depressive disorder predicts poorer outcome with sertraline: findings from the EMBARC study. Biol Psychiatry Cogn Neurosci Neuroimaging. 2023;8:462–70.

PubMed 

Google Scholar
 

Drobinin V, Van Gestel H, Helmick CA, Schmidt MH, Bowen CV, Uher R. The developmental brain age is associated with adversity, depression, and functional outcomes among adolescents. Biol Psychiatry Cogn Neurosci Neuroimaging. 2022;7:406–14.

PubMed 

Google Scholar
 

Siu CR, Murphy KM. The development of human visual cortex and clinical implications. Eye Brain. 2018;10:25–36.

PubMed 
PubMed Central 

Google Scholar
 

Wu F, Lu Q, Kong Y, Zhang Z. A comprehensive overview of the role of visual cortex malfunction in depressive disorders: opportunities and challenges. Neurosci Bull. 2023;39:1426–38.

PubMed 
PubMed Central 

Google Scholar
 

Holt-Gosselin B, Keding TJ, Rodrigues K, Rueter A, Hendrickson TJ, Perrone A, et al. Familial risk for depression moderates neural circuitry in healthy preadolescents to predict adolescent depression symptoms in the adolescent brain cognitive development (ABCD) study. Dev Cogn Neurosci. 2024;68:101400.

PubMed 
PubMed Central 

Google Scholar
 

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