Abstract
Perseverative negative thoughts, known as rumination, might arise from emotional challenges and preclude mental health when transitioning into adulthood. Due to its multifaceted nature, rumination can take several ruminative response styles, that diverge in manifestations, severity, and mental health outcomes. Still, prospective ruminative phenotypes remain elusive insofar. Longitudinal study designs are ideal for stratifying ruminative response styles, especially with resting-state functional MRI whose setup naturally elicits people’s ruminative traits. Here, we considered self-rated questionnaires on rumination and psychopathology, along with resting-state functional MRI data in 595 individuals assessed at age 18 and 22 from the IMAGEN cohort. We conducted independent component analysis to characterize eight single static resting-state functional networks in each subject and session and furthermore conducted a dynamic analysis, tackling the time variations of functional networks during the entire scanning time. We then investigated their longitudinal mediation role between changes in three ruminative response styles (reflective pondering, brooding, and depressive rumination) and changes in internalizing and co-morbid externalizing symptoms. Four static and two dynamic networks longitudinally differentiated these ruminative styles and showed complemental sensitivity to internalizing and co-morbid externalizing symptoms. Among these networks, the right frontoparietal network covaried with all ruminative styles but did not play any mediation role towards psychopathology. The default mode, the salience, and the limbic networks prospectively stratified these ruminative styles, suggesting that maladaptive ruminative styles are associated with altered corticolimbic function. For static measures, only the salience network played a longitudinal causal role between brooding rumination and internalizing symptoms. Dynamic measures highlighted the default-mode mediation role between the other ruminative styles and co-morbid externalizing symptoms. In conclusion, we identified the ruminative styles’ psychometric and neural outcome specificities, supporting their translation into applied research on young adult mental healthcare.
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Data availability
Raw neuroimaging and psychometric data are publicly available on the IMAGEN website (https://imagen-project.org). Analytic codes and fully processed data are available upon request to the corresponding author.
References
Oerlemans AM, Wardenaar KJ, Raven D, Hartman CA, Ormel J. The association of developmental trajectories of adolescent mental health with early-adult functioning. PLoS One. 2020;15:e0233648.
Nolen-Hoeksema S, Morrow J. A prospective study of depression and posttraumatic stress symptoms after a natural disaster: the 1989 Loma Prieta Earthquake. J Pers Soc Psychol. 1991;61:115–21.
Nolen-Hoeksema S, Girgus JS, Seligman ME. Predictors and consequences of childhood depressive symptoms: a 5-year longitudinal study. J Abnorm Psychol. 1992;101:405–22.
Nolen-Hoeksema S. The role of rumination in depressive disorders and mixed anxiety/depressive symptoms. J Abnorm Psychol. 2000;109:504–11.
Songco A, Booth C, Spiegler O, Parsons S, Fox E. Anxiety and depressive symptom trajectories in adolescence and the co-occurring development of cognitive biases: evidence from the CogBIAS longitudinal study. J Abnorm Child Psychol. 2020;48:1617–33.
Willoughby T, Fortner A. At-risk depressive symptoms and alcohol use trajectories in adolescence: a person-centred analysis of co-occurrence. J Youth Adolesc. 2015;44:793–805.
Agerup T, Lydersen S, Wallander J, Sund AM. Associations between parental attachment and course of depression between adolescence and young adulthood. Child Psychiatry Hum Dev. 2015;46:632–42.
Schubert KO, Clark SR, Van LK, Collinson JL, Baune BT. Depressive symptom trajectories in late adolescence and early adulthood: a systematic review. Aust N. Z J Psychiatry. 2017;51:477–99.
Camacho A, Ortega-Ruiz R, Romera EM. Longitudinal associations between cybervictimization, anger rumination, and cyberaggression. Aggress Behav. 2021;47:332–42.
Watkins ER, Roberts H. Reflecting on rumination: consequences, causes, mechanisms and treatment of rumination. Behav Res Ther. 2020;127:103573.
Treynor W, Gonzalez R, Nolen-Hoeksema S. Rumination reconsidered: a psychometric analysis. Cogn Ther Res. 2003;27:247–59.
Hankin BL. Rumination and depression in adolescence: investigating symptom specificity in a multiwave prospective study. J Clin Child Adolesc Psychol. 2008;37:701–13.
Rhebergen D, Lamers F, Spijker J, de Graaf R, Beekman AT, Penninx BW. Course trajectories of unipolar depressive disorders identified by latent class growth analysis. Psychol Med. 2012;42:1383–96.
Stewart TM, Hunter SC, Rhodes SM. Reflective pondering is associated with executive control for emotional information: an adolescent prospective study. J Behav Ther Exp Psychiatry. 2019;65:101486.
Adrian M, McCarty C, King K, McCauley E, Stoep AV. The internalizing pathway to adolescent substance use disorders: mediation by ruminative reflection and ruminative brooding. J Adolesc. 2014;37:983–91.
Pedersen H, Gronnaess I, Bendixen M, Hagen R, Kennair LEO. Metacognitions and brooding predict depressive symptoms in a community adolescent sample. BMC Psychiatry. 2022;22:157.
Jose PE, Weir KF. How is anxiety involved in the longitudinal relationship between brooding rumination and depressive symptoms in adolescents? J Youth Adolesc. 2013;42:1210–22.
Rnic K, Jopling E, Tracy A, LeMoult J. Emotion regulation and diurnal cortisol: a longitudinal study of early adolescents. Biol Psychol. 2022;167:108212.
Nolen-Hoeksema S, Wisco BE, Lyubomirsky S. Rethinking Rumination. Perspect Psychol Sci. 2008;3:400–24.
Deguchi A, Masuya J, Naruse M, Morishita C, Higashiyama M, Tanabe H, et al. Rumination mediates the effects of childhood maltreatment and trait anxiety on depression in non-clinical adult volunteers. Neuropsychiatr Dis Treat. 2021;17:3439–45.
Alloy LB, Black SK, Young ME, Goldstein KE, Shapero BG, Stange JP, et al. Cognitive vulnerabilities and depression versus other psychopathology symptoms and diagnoses in early adolescence. J Clin Child Adolesc Psychol. 2012;41:539–60.
Gomez-Baya D, Mendoza R, Gaspar T, Gomes P. Responses to positive affect, life satisfaction and self-esteem: a cross-lagged panel analysis during middle adolescence. Scand J Psychol. 2018;59:462–72.
Makovac E, Fagioli S, Rae CL, Critchley HD, Ottaviani C. Can’t get it off my brain: meta-analysis of neuroimaging studies on perseverative cognition. Psychiatry Res. Neuroimaging. 2020;295:111020.
Stevens MC. The contributions of resting state and task-based functional connectivity studies to our understanding of adolescent brain network maturation. Neurosci Biobehav Rev. 2016;70:13–32.
Smitha KA, Akhil Raja K, Arun KM, Rajesh PG, Thomas B, Kapilamoorthy TR, et al. Resting state fMRI: a review on methods in resting state connectivity analysis and resting state networks. Neuroradiol J. 2017;30:305–17.
Jalilianhasanpour R, Ryan D, Agarwal S, Beheshtian E, Gujar SK, Pillai JJ, et al. Dynamic brain connectivity in resting state functional MR imaging. Neuroimaging Clin N Am. 2021;31:81–92.
Chahal R, Gotlib IH, Guyer AE. Research review: brain network connectivity and the heterogeneity of depression in adolescence—a precision mental health perspective. J Child Psychol Psychiatry. 2020;61:1282–98.
Ottaviani C, Thayer JF, Verkuil B, Lonigro A, Medea B, Couyoumdjian A, et al. Physiological concomitants of perseverative cognition: a systematic review and meta-analysis. Psychol Bull. 2016;142:231–59.
McKeown MJ, Makeig S, Brown GG, Jung TP, Kindermann SS, Bell AJ, et al. Analysis of fMRI data by blind separation into independent spatial components. Hum Brain Mapp. 1998;6:160–88.
Hutchison RM, Womelsdorf T, Allen EA, Bandettini PA, Calhoun VD, Corbetta M, et al. Dynamic functional connectivity: promise, issues, and interpretations. Neuroimage. 2013;80:360–78.
Liegeois R, Laumann TO, Snyder AZ, Zhou J, Yeo BTT. Interpreting temporal fluctuations in resting-state functional connectivity MRI. Neuroimage. 2017;163:437–55.
Chahal R, Miller JG, Yuan JP, Buthmann JL, Gotlib IH. An exploration of dimensions of early adversity and the development of functional brain network connectivity during adolescence: implications for trajectories of internalizing symptoms. Dev Psychopathol. 2022;34:557–71.
Thijssen S, Collins PF, Weiss H, Luciana M. The longitudinal association between externalizing behavior and frontoamygdalar resting-state functional connectivity in late adolescence and young adulthood. J Child Psychol Psychiatry. 2021;62:857–67.
Taschereau-Dumouchel V, Michel M, Lau H, Hofmann SG, LeDoux JE. Putting the “mental” back in “mental disorders”: a perspective from research on fear and anxiety. Mol Psychiatry. 2022;27:1322–30.
Hilt LM, Pollak SD. Getting out of rumination: comparison of three brief interventions in a sample of youth. J Abnorm Child Psychol. 2012;40:1157–65.
Jacobs RH, Watkins ER, Peters AT, Feldhaus CG, Barba A, Carbray J, et al. Targeting ruminative thinking in adolescents at risk for depressive relapse: rumination-focused cognitive behavior therapy in a pilot randomized controlled trial with resting state fMRI. PLoS One. 2016;11:e0163952.
Roberts H, Jacobs RH, Bessette KL, Crowell SE, Westlund-Schreiner M, Thomas L, et al. Mechanisms of rumination change in adolescent depression (RuMeChange): study protocol for a randomised controlled trial of rumination-focused cognitive behavioural therapy to reduce ruminative habit and risk of depressive relapse in high-ruminating adolescents. BMC Psychiatry. 2021;21:206.
Mascarell Maricic L, Walter H, Rosenthal A, Ripke S, Quinlan EB, Banaschewski T, et al. The IMAGEN study: a decade of imaging genetics in adolescents. Mol Psychiatry. 2020;25:2648–71.
Ng B, Poline JB, Thirion B, Greicius M, Consortium I. Bootstrapped permutation test for multiresponse inference on brain behavior associations. Inf Process Med Imaging. 2015;24:113–24.
Goodman R, Ford T, Richards H, Gatward R, Meltzer H. The development and well-being assessment: description and initial validation of an integrated assessment of child and adolescent psychopathology. J Child Psychol Psychiatry. 2000;41:645–55.
Goodman R. The strengths and difficulties questionnaire: a research note. J Child Psychol Psychiatry. 1997;38:581–6.
Essau CA, Olaya B, Anastassiou-Hadjicharalambous X, Pauli G, Gilvarry C, Bray D, et al. Psychometric properties of the strength and difficulties questionnaire from five European countries. Int J Methods Psychiatr Res. 2012;21:232–45.
Cox RW. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res. 1996;29:162–73.
Cox RW. AFNI: what a long strange trip it’s been. Neuroimage. 2012;62:743–7.
Jenkinson M, Beckmann CF, Behrens TE, Woolrich MW, Smith SM. Fsl. Neuroimage. 2012;62:782–90.
Erhardt EB, Rachakonda S, Bedrick EJ, Allen EA, Adali T, Calhoun VD. Comparison of multi-subject ICA methods for analysis of fMRI data. Hum Brain Mapp. 2011;32:2075–95.
Yeo BT, Krienen FM, Sepulcre J, Sabuncu MR, Lashkari D, Hollinshead M, et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol. 2011;106:1125–65.
The MathWorks I. MATLAB. 9.11.0.1873467 (R2021b) Update 3 edn2021.
Baron RM, Kenny DA. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986;51:1173–82.
Huffziger S, Reinhard I, Kuehner C. A longitudinal study of rumination and distraction in formerly depressed inpatients and community controls. J Abnorm Psychol. 2009;118:746–56.
Goodman R, Meltzer H, Bailey V. The strengths and difficulties questionnaire: a pilot study on the validity of the self-report version. Int Rev Psychiatry. 2003;15:173–7.
Cohen AO, Breiner K, Steinberg L, Bonnie RJ, Scott ES, Taylor-Thompson KA, et al. When is an adolescent an adult? assessing cognitive control in emotional and nonemotional contexts. Psychol Sci. 2016;27:549–62.
Schweizer S, Gotlib IH, Blakemore SJ. The role of affective control in emotion regulation during adolescence. Emotion. 2020;20:80–6.
Whitmer A, Gotlib IH. Brooding and reflection reconsidered: a factor analytic examination of rumination in currently depressed, formerly depressed, and never depressed individuals. Cogn Ther Res. 2011;35:99–107.
Simsek OF. Self-absorption paradox is not a paradox: illuminating the dark side of self-reflection. Int J Psychol. 2013;48:1109–21.
Dawson GC, Adrian M, Chu P, McCauley E, Vander Stoep A. Associations between Sex, rumination, and depressive symptoms in late adolescence: a four-year longitudinal investigation. J Clin Child Adolesc Psychol. 2022;52:1–11.
Dwyer DB, Harrison BJ, Yucel M, Whittle S, Zalesky A, Pantelis C, et al. Large-scale brain network dynamics supporting adolescent cognitive control. J Neurosci. 2014;34:14096–107.
Koenigs M, Grafman J. The functional neuroanatomy of depression: distinct roles for ventromedial and dorsolateral prefrontal cortex. Behav Brain Res. 2009;201:239–43.
D’Argembeau A, Collette F, Van der Linden M, Laureys S, Del Fiore G, Degueldre C, et al. Self-referential reflective activity and its relationship with rest: a PET study. Neuroimage. 2005;25:616–24.
Constantinidis C, Luna B. Neural substrates of inhibitory control maturation in adolescence. Trends Neurosci. 2019;42:604–16.
Pan PM, Sato JR, Paillere Martinot ML, Martinot JL, Artiges E, Penttila J, et al. Longitudinal trajectory of the link between ventral striatum and depression in adolescence. Am J Psychiatry. 2022;179:470–81.
Vink M, Derks JM, Hoogendam JM, Hillegers M, Kahn RS. Functional differences in emotion processing during adolescence and early adulthood. Neuroimage. 2014;91:70–6.
Burwell RA, Shirk SR. Subtypes of rumination in adolescence: associations between brooding, reflection, depressive symptoms, and coping. J Clin Child Adolesc Psychol. 2007;36:56–65.
Grierson AB, Hickie IB, Naismith SL, Scott J. The role of rumination in illness trajectories in youth: linking trans-diagnostic processes with clinical staging models. Psychol Med. 2016;46:2467–84.
Idsoe T, Keles S, Olseth AR, Ogden T. Cognitive behavioral treatment for depressed adolescents: results from a cluster randomized controlled trial of a group course. BMC Psychiatry. 2019;19:155.
Ordaz SJ, LeMoult J, Colich NL, Prasad G, Pollak M, Popolizio M, et al. Ruminative brooding is associated with salience network coherence in early pubertal youth. Soc Cogn Affect Neurosci. 2017;12:298–310.
Rakesh D, Allen NB, Whittle S. Longitudinal changes in within-salience network functional connectivity mediate the relationship between childhood abuse and neglect, and mental health during adolescence. Psychol Med. 2021;53:1–13.
Christoff K, Irving ZC, Fox KC, Spreng RN, Andrews-Hanna JR. Mind-wandering as spontaneous thought: a dynamic framework. Nat Rev Neurosci. 2016;17:718–31.
Ottaviani C, Medea B, Lonigro A, Tarvainen M, Couyoumdjian A. Cognitive rigidity is mirrored by autonomic inflexibility in daily life perseverative cognition. Biol Psychol. 2015;107:24–30.
Chalmers JA, Quintana DS, Abbott MJ, Kemp AH. Anxiety disorders are associated with reduced heart rate variability: a meta-analysis. Front Psychiatry. 2014;5:80.
Griffiths KR, Quintana DS, Hermens DF, Spooner C, Tsang TW, Clarke S, et al. Sustained attention and heart rate variability in children and adolescents with ADHD. Biol Psychol. 2017;124:11–20.
Menon V. Large-scale brain networks and psychopathology: a unifying triple network model. Trends Cogn Sci. 2011;15:483–506.
Wells A. Breaking the cybernetic code: understanding and treating the human metacognitive control system to enhance mental health. Front Psychol. 2019;10:2621.
Cole EJ, Phillips AL, Bentzley BS, Stimpson KH, Nejad R, Barmak F, et al. Stanford Neuromodulation Therapy (SNT): a double-blind randomized controlled trial. Am J Psychiatry. 2022;179:132–41.
Seeley WW, Menon V, Schatzberg AF, Keller J, Glover GH, Kenna H, et al. Dissociable intrinsic connectivity networks for salience processing and executive control. J Neurosci. 2007;27:2349–56.
Duman RS, Sanacora G, Krystal JH. Altered connectivity in depression: GABA and glutamate neurotransmitter deficits and reversal by novel treatments. Neuron. 2019;102:75–90.
Raffaelli Q, Mills C, de Stefano NA, Mehl MR, Chambers K, Fitzgerald SA, et al. The think aloud paradigm reveals differences in the content, dynamics and conceptual scope of resting state thought in trait brooding. Sci Rep. 2021;11:19362.
Li HX, Lu B, Wang YW, Li XY, Chen X, Yan CG. Neural representations of self-generated thought during think-aloud fMRI. Neuroimage. 2023;265:119775.
Kucyi A, Kam JWY, Andrews-Hanna JR, Christoff K, Whitfield-Gabrieli S. Recent advances in the neuroscience of spontaneous and off-task thought: implications for mental health. Nat Ment Health. 2023;1:827–40.
Conway M, Csank PA, Holm SL, Blake CK. On assessing individual differences in rumination on sadness. J Pers Assess. 2000;75:404–25.
Alloy LB, Abramson LY, Hogan ME, Whitehouse WG, Rose DT, Robinson MS, et al. The Temple-Wisconsin Cognitive Vulnerability to Depression Project: lifetime history of axis I psychopathology in individuals at high and low cognitive risk for depression. J Abnorm Psychol. 2000;109:403–18.
Wells A, Papageorgiou C. Depressive Rumination: Nature, Theory, and Treatment. Chichester, UK: Wiley; 2004. https://doi.org/10.1002/9780470713853.
Fritz H. Rumination and adjustment to a first coronary event. Psychosom Med. 1999;61:105.
Smith JM, Alloy LB. A roadmap to rumination: a review of the definition, assessment, and conceptualization of this multifaceted construct. Clin Psychol Rev. 2009;29:116–28.
Mumford JA, Ramsey JD. Bayesian networks for fMRI: a primer. Neuroimage. 2014;86:573–82.
Karcher NR, Barch DM. The ABCD study: understanding the development of risk for mental and physical health outcomes. Neuropsychopharmacology. 2021;46:131–42.
Zhang X, Zhou Y, Sun J, Yang R, Chen J, Cheng X, et al. A cohort study of adolescents with depression in China: tracking multidimensional outcomes and early biomarkers for intervention. Gen Psychiatr. 2022;35:e100782.
Acknowledgements
The IMAGEN consortium’s members Tobias Banaschewski, Arun LW Bokde, Sylvane Desrivières, Herta Flor, Hugh Garavan, Rüdiger Brühl, Penny Gowland, Andreas Heinz, Frauke Nees, Luise Poustka, Michael Smolka, Henrik Walter, Robert Whelan, Tomáš Paus, Gunter Schumann, Jean-Luc Martinot and Eric Artiges are acknowledged for their support as authors. A full list of the IMAGEN collaborators and their affiliations appears in the Supplemental Materials 8. Pr. Gilles Berstchy is acknowledged for his support. Pr. Stephane Lehericy and the radiographer staff at Center de NeuroImagerie de Recherche de l’Institut du Cerveau are acknowledged for their support in MRI datasets acquisition.
Funding
This work received support from the following sources: the European Union–funded FP6 Integrated Project IMAGEN (Grant No. LSHM- CT-2007-037286), the Horizon 2020 funded ERC Advanced Grant ‘STRATIFY’ (Brain network based stratification of reinforcement-related disorders) (695313); the Eranet Neuron (Grant No. ANR-18-NEUR00002-01– ADORe), Agence Nationale de la Recherche (Grant ANR-12-SAMA-0004 - GeBra), Assistance Publique-Hôpitaux de Paris and INSERM (interface grant), Paris Descartes University (Grant collaborative-project-2010), Paris Sud University (Grant No. IDEX-2012), Fondation de l’Avenir (Grant AP-RM-17-013), Fondation de France (Grant 00081242), Fédération pour la Recherche sur le Cerveau, and Fondation pour la Recherche Médicale (Grant DPA20140629802), The Ile-de-France region grant to the project VEAVE (How to reduce Violence against Children and Adolescents in the Ile-de-France region and its “whole life” consequences; action 16700103, Convention APHP INSERM n° 23002745–23002747); the National Institute for Health Research (NIHR) Biomedical Research Center at South London and Maudsley NHS Foundation Trust and King’s College London, the Bundesministerium für Bildung und Forschung (BMBF grants 01GS08152; 01EV0711; Forschungsnetz AERIAL 01EE1406A, 01EE1406B; Forschungsnetz IMAC- Mind 01GL1745B), the Deutsche Forschungsgemeinschaft (DFG grants SM 80/7-2, SFB 940, TRR 265, NE 1383/14-1), the Medical Research Foundation and Medical Research Council (grants MR/R00465X/1 and MR/S020306/1). The INSERM, Strasbourg University, and SATT CONECTUS provided sponsorship (PI: Jean-Luc Martinot).
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The IMAGEN consortium’s authors provided substantial contributions to the conception, design, and acquisition of data for the current work. All authors approved the finalized article, ensuring its content’s accuracy and integrity as suitable for publication purposes. Rocco Marchitelli was involved in the auditing of sample data. He was in charge of the preprocessing of all neuroimaging data and conducted all statistical analyses. Alain Trouvé developed the software for dynamic FC analysis. Rocco Marchitelli, Marie-Laure Paillere Martinot, Jean-Luc Martinot, and Eric Artiges interpreted the work’s findings and critically revised it with respect to its intellectual content. Rocco Marchitelli, Jean-Luc Martinot, and Eric Artiges wrote and revised the article.
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TB served in an advisory or consultancy role for ADHS Digital, Infectopharm, Lundbeck, Medice, Neurim Pharmaceuticals, Oberberg GmbH, Roche, and Takeda. He received conference support or speaker’s fee by Medice and Takeda. He has been involved in clinical trials conducted by Shire & Viforpharma. He received royalties from Hogrefe, Kohlhammer, CIP Medien, and Oxford University Press. He has been involved in clinical trials conducted by Shire & Viforpharma. GB has received honoraria from General Electric Healthcare for teaching on scanner programming courses. LP served in an advisory or consultancy role for Roche and Viforpharm and received speaker’s fee by Shire. She received royalties from Hogrefe, Kohlhammer, and Schattauer. The present work is unrelated to the above grants and relationships. The other authors report no biomedical commercial relationships or conflicts of interest.
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Marchitelli, R., Paillère Martinot, ML., Trouvé, A. et al. Coupled changes between ruminating thoughts and resting-state brain networks during the transition into adulthood. Mol Psychiatry (2024). https://doi.org/10.1038/s41380-024-02610-9
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DOI: https://doi.org/10.1038/s41380-024-02610-9