Abstract
A history of suicide attempts is one of the strongest predictors of future suicidal behavior in major depressive disorder (MDD). However, the resting-state functional connectivity (rs-FC) alterations that specifically differentiate MDD patients with a suicidal attempt history (SD) from those without (NSD) remain poorly understood. This study aimed to identify suicide attempt–specific rs-FC alterations using a two-stage multivariate pattern analysis (MVPA) framework—first contrasting the MDD group with the healthy control (HC) group, then directly comparing the SD group with the NSD group—and to examine whether the identified FC features were related to suicidal ideation or childhood trauma. Rs-FC data were collected from 204 adults (61 SD, 62 NSD, 81 HCs). Significant clusters from each MVPA were used as regions of interest (ROIs) for follow-up ROI-to-ROI and seed-to-voxel analyses, and associations with the Beck Scale for Suicide Ideation (SSI) and Childhood Trauma Questionnaire (CTQ) scores were examined. FC patterns that distinguished the SD group from the NSD group consistently involved visual network regions. The SD group showed lower FC between visual areas and prefrontal regions. Among ROI-level differences, the right intracalcarine cortex–right inferior temporal gyrus FC showed a negative correlation with CTQ–physical neglect subscale scores in the SD group (r = –0.427, pFDR = 0.017). Seed-to-voxel analyses revealed that lower visual–frontal FC was associated with greater suicidal ideation in the MDD group (e.g., left cuneus–left frontal pole, r = –0.341, pFDR = 0.023). These findings suggest a dysfunctional brain network linking childhood trauma, disrupted sensory–cognitive integration, and suicide attempt risk in MDD.
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Data availability
Due to ethics restrictions, the data supporting the results of this study are not publicly available, but they are available to the applicant upon reasonable request to the corresponding author: han272@korea.ac.kr, hambj@korea.ac.kr.
References
World Health Organization. Suicide. 2021. https://www.who.int/news-room/fact-sheets/detail/suicide. Accessed 21 April 2025.
GBD 2021 Diseases and Injuries Collaborators. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet. 2024;403:2133–61.
GBD 2019 Mental Disorders Collaborators. Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Psychiatry. 2022;9:137–50.
Cai H, Xie XM, Zhang Q, Cui X, Lin JX, Sim K, et al. Prevalence of suicidality in major depressive disorder: a systematic review and meta-analysis of comparative studies. Front Psychiatry. 2021;12:690130.
Ferrari AJ, Charlson FJ, Norman RE, Patten SB, Freedman G, Murray CJ, et al. Burden of depressive disorders by country, sex, age, and year: findings from the Global Burden of Disease Study 2010. PLoS Med. 2013;10:e1001547.
Almeida OP, Draper B, Snowdon J, Lautenschlager NT, Pirkis J, Byrne G, et al. Factors associated with suicidal thoughts in a large community study of older adults. Br J Psychiatry. 2012;201:466–72.
Chesney E, Goodwin GM, Fazel S. Risks of all-cause and suicide mortality in mental disorders: a meta-review. World Psychiatry. 2014;13:153–60.
Bryant RA, Breukelaar IA, Williamson T, Felmingham K, Williams LM, Korgaonkar MS. The neural connectome of suicidality in adults with mood and anxiety disorders. Nat Ment Health. 2024;2:1342–49.
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.
Jung J, Choi S, Han KM, Kim A, Kang W, Paik JW, et al. Alterations in functional brain networks in depressed patients with a suicide attempt history. Neuropsychopharmacology. 2020;45:964–74.
Kang Y, Shin D, Kim A, Tae WS, Ham BJ, Han KM. Resting-state functional connectivity is correlated with peripheral inflammatory markers in patients with major depressive disorder and healthy controls. J Affect Disord. 2025;370:207–16.
Auerbach RP, Pagliaccio D, Allison GO, Alqueza KL, Alonso MF. Neural correlates associated with suicide and nonsuicidal self-injury in youth. Biol Psychiatry. 2021;89:119–33.
Ho TC, Walker JC, Teresi GI, Kulla A, Kirshenbaum JS, Gifuni AJ, et al. Default mode and salience network alterations in suicidal and non-suicidal self-injurious thoughts and behaviors in adolescents with depression. Transl Psychiatry. 2021;11:38.
Rai S, Griffiths KR, Breukelaar IA, Barreiros AR, Chen W, Boyce P, et al. Default-mode and fronto-parietal network connectivity during rest distinguishes asymptomatic patients with bipolar disorder and major depressive disorder. Transl Psychiatry. 2021;11:547.
Schimmelpfennig J, Topczewski J, Zajkowski W, Jankowiak-Siuda K. The role of the salience network in cognitive and affective deficits. Front Hum Neurosci. 2023;17:1133367.
Sheline YI, Barch DM, Price JL, Rundle MM, Vaishnavi SN, Snyder AZ, et al. The default mode network and self-referential processes in depression. Proc Natl Acad Sci USA. 2009;106:1942–47.
Ambrosi E, Curtis KN, Goli P, Patriquin MA, Arciniegas DB, Simonetti A, et al. Resting-state functional connectivity of the anterior cingulate cortex among persons with mood disorders and suicidal behaviors. J Neuropsychiatry Clin Neurosci. 2024;36:143–50.
Zahid Z, McMahon L, Lynch M. Neural activity across the dorsolateral prefrontal cortex and risk for suicidal ideation and self-injury. Arch Suicide Res. 2022;26:187–207.
Paolini M, Harrington Y, Colombo F, Bettonagli V, Poletti S, Carminati M, et al. Hippocampal and parahippocampal volume and function predict antidepressant response in patients with major depression: a multimodal neuroimaging study. J Psychopharmacol. 2023;37:1070–81.
Schmaal L, van Harmelen AL, Chatzi V, Lippard ETC, Toenders YJ, Averill LA, et al. Imaging suicidal thoughts and behaviors: a comprehensive review of 2 decades of neuroimaging studies. Mol Psychiatry. 2020;25:408–27.
Nieto-Castanon A. Brain-wide connectome inferences using functional connectivity MultiVariate Pattern Analyses (fc-MVPA). PLoS Comput Biol. 2022;18:e1010634.
Karavallil Achuthan S, Stavrinos D, Holm HB, Anteraper SA, Kana RK. Alterations of functional connectivity in autism and attention-deficit/hyperactivity disorder revealed by multi-voxel pattern analysis. Brain Connect. 2023;13:528–40.
Guell X, Arnold Anteraper S, Gardner AJ, Whitfield-Gabrieli S, Kay-Lambkin F, Iverson GL, et al. Functional connectivity changes in retired Rugby League players: a data-driven functional magnetic resonance imaging study. J Neurotrauma. 2020;37:1788–96.
Kim HE, Kim JJ, Seok JH, Park JY, Oh J. Resting-state functional connectivity and cognitive performance in aging adults with cognitive decline: a data-driven multivariate pattern analysis. Compr Psychiatry. 2024;129:152445.
Philip NS, Barredo J, van ‘t Wout-Frank M, Tyrka AR, Price LH, Carpenter LL. Network mechanisms of clinical response to transcranial magnetic stimulation in posttraumatic stress disorder and major depressive disorder. Biol Psychiatry. 2018;83:263–72.
Pastrnak M, Klirova M, Bares M, Novak T. Distinct connectivity patterns in bipolar and unipolar depression: a functional connectivity multivariate pattern analysis study. BMC Neurosci. 2024;25:46.
Ho TC, King LS. Mechanisms of neuroplasticity linking early adversity to depression: developmental considerations. Transl Psychiatry. 2021;11:517.
Bjorkenstam C, Kosidou K, Bjorkenstam E. Childhood adversity and risk of suicide: cohort study of 548 721 adolescents and young adults in Sweden. BMJ. 2017;357:j1334.
Steine IM, Nielsen B, Porter PA, Krystal JH, Winje D, Gronli J, et al. Predictors and correlates of lifetime and persistent non-suicidal self-injury and suicide attempts among adult survivors of childhood sexual abuse. Eur J Psychotraumatol. 2020;11:1815282.
Teicher MH, Samson JA, Anderson CM, Ohashi K. The effects of childhood maltreatment on brain structure, function and connectivity. Nat Rev Neurosci. 2016;17:652–66.
Yu M, Linn KA, Shinohara RT, Oathes DJ, Cook PA, Duprat R, et al. Childhood trauma history is linked to abnormal brain connectivity in major depression. Proc Natl Acad Sci USA. 2019;116:8582–90.
Gerin MI, Viding E, Herringa RJ, Russell JD, McCrory EJ. A systematic review of childhood maltreatment and resting state functional connectivity. Dev Cogn Neurosci. 2023;64:101322.
Wislowska-Stanek A, Kolosowska K, Maciejak P. Neurobiological basis of increased risk for suicidal behaviour. Cells. 2021;10:2519.
Galber M, Anett Nagy S, Orsi G, Perlaki G, Simon M, Czeh B. Depressed patients with childhood maltreatment display altered intra- and inter-network resting state functional connectivity. Neuroimage Clin. 2024;43:103632.
First MB, Williams JB, Karg RS, Spitzer RL. User’s guide for the SCID-5-CV structured clinical interview for DSM-5® disorders: clinical version. American Psychiatric Publishing: Washington, DC; 2016.
Blumberger DM, Vila-Rodriguez F, Thorpe KE, Feffer K, Noda Y, Giacobbe P, et al. Effectiveness of theta burst versus high-frequency repetitive transcranial magnetic stimulation in patients with depression (THREE-D): a randomised non-inferiority trial. Lancet. 2018;391:1683–92.
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.
Sforzini L, Worrell C, Kose M, Anderson IM, Aouizerate B, Arolt V, et al. A Delphi-method-based consensus guideline for definition of treatment-resistant depression for clinical trials. Mol Psychiatry. 2022;27:1286–99.
Talishinsky A, Downar J, Vértes PE, Seidlitz J, Dunlop K, Lynch CJ, et al. Regional gene expression signatures are associated with sex-specific functional connectivity changes in depression. Nat Commun. 2022;13:5692.
Compère L, Siegle GJ, Lazzaro S, Riley E, Strege M, Canovali G, et al. Amygdala real-time fMRI neurofeedback upregulation in treatment-resistant depression: proof of concept and dose determination. Behav Res Ther. 2024;176:104523.
Hamilton M. A rating scale for depression. J Neurol Neurosurg Psychiatry. 1960;23:56.
Beck AT, Steer RA. Beck scale for suicide ideation: manual. Psychological Corporation: San Antonio, TX; 1991.
Kim D, Park S-C, Yang H, Oh DH. Reliability and validity of the Korean version of the childhood trauma questionnaire-short form for psychiatric outpatients. Psychiatry Investig. 2011;8:305.
Bernstein DP, Fink L. Childhood trauma questionnaire: a retrospective self-report manual. The Psychological Corporation: San Antonio, TX; 1998.
Weisman AD, Worden JW. Risk-rescue rating in suicide assessment. Arch Gen Psychiatry. 1972;26:553–60.
Raimondo L, Heij J, Priovoulos N, Kundu P, Leoni RF, van der Zwaag W. Advances in resting state fMRI acquisitions for functional connectomics. Neuroimage. 2021;243:118503.
Birn RM, Molloy EK, Patriat R, Parker T, Meier TB, Kirk GR, et al. The effect of scan length on the reliability of resting-state fMRI connectivity estimates. Neuroimage. 2013;83:550–58.
Kumar V, Lee J, Liu H-L, Allen J, Filippi C, Holodny A, et al. Recommended resting-state fMRI acquisition and preprocessing steps for preoperative mapping of language and motor and visual areas in adult and pediatric patients with brain tumors and epilepsy. Am J Neuroradiol. 2024;45:139–48.
Bergé D, Lesh TA, Smucny J, Carter CS. Improvement in prefrontal thalamic connectivity during the early course of the illness in recent-onset psychosis: a 12-month longitudinal follow-up resting-state fMRI study. Psychol Med. 2022;52:2713–21.
Fang J, Rong P, Hong Y, Fan Y, Liu J, Wang H, et al. Transcutaneous vagus nerve stimulation modulates the default mode network in major depressive disorder. Biol Psychiatry. 2016;79:266–73.
Nieto-Castanon A, Whitfield-Gabrieli S. CONN functional connectivity toolbox (RRID: SCR_009550), version 22. 2022.
Penny WD, Friston KJ, Ashburner JT, Kiebel SJ, Nichols TE. Statistical parametric mapping: the analysis of functional brain images. Academic Press: London; 2007.
Nieto-Castanon A. A handbook of functional connectivity magnetic resonance imaging methods in CONN. Hilbert Press: Boston, MA; 2020.
Andersson JL, Hutton C, Ashburner J, Turner R, Friston K. Modeling geometric deformations in EPI time series. Neuroimage. 2001;13:903–19.
Friston KJ, Ashburner J, Frith CD, Poline JB, Heather JD, Frackowiak RS. Spatial registration and normalization of images. Hum Brain Mapp. 1995;3:165–89.
Hallquist MN, Hwang K, Luna B. The nuisance of nuisance regression: spectral misspecification in a common approach to resting-state fMRI preprocessing reintroduces noise and obscures functional connectivity. Neuroimage. 2013;82:208–25.
Kelly E, Meng F, Fujita H, Morgado F, Kazemi Y, Rice LC, et al. Regulation of autism-relevant behaviors by cerebellar–prefrontal cortical circuits. Nat Neurosci. 2020;23:1102–10.
Takamiya A, Kishimoto T, Hirano J, Nishikata S, Sawada K, Kurokawa S, et al. Neuronal network mechanisms associated with depressive symptom improvement following electroconvulsive therapy. Psychol Med. 2021;51:2856–63.
Gálber M, Nagy SA, Orsi G, Perlaki G, Simon M, Czéh B. Depressed patients with childhood maltreatment display altered intra-and inter-network resting state functional connectivity. Neuroimage Clin. 2024;43:103632.
Muehlhan M, Alexander N, Trautmann S, Weckesser LJ, Vogel S, Kirschbaum C, et al. Cortisol secretion predicts functional macro-scale connectivity of the visual cortex: a data-driven Multivoxel Pattern Analysis (MVPA). Psychoneuroendocrinology. 2020;117:104695.
Byun J-I, Cha KS, Kim M, Lee W-J, Lee HS, Sunwoo J-S, et al. Altered insular functional connectivity in isolated REM sleep behavior disorder: a data-driven functional MRI study. Sleep Med. 2021;79:88–93.
Upton S, Froeliger B. Regulation of craving and underlying resting-state neural circuitry predict hazard of smoking lapse. Transl Psychiatry. 2025;15:101.
Ouyang X, Long Y, Wu Z, Liu D, Liu Z, Huang X. Temporal stability of dynamic default mode network connectivity negatively correlates with suicidality in major depressive disorder. Brain Sci. 2022;12:1263.
Mulders PC, van Eijndhoven PF, Schene AH, Beckmann CF, Tendolkar I. Resting-state functional connectivity in major depressive disorder: a review. Neurosci Biobehav Rev. 2015;56:330–44.
Grill-Spector K, Malach R. The human visual cortex. Annu Rev Neurosci. 2004;27:649–77.
DiCarlo JJ, Zoccolan D, Rust NC. How does the brain solve visual object recognition?. Neuron. 2012;73:415–34.
Kravitz DJ, Saleem KS, Baker CI, Ungerleider LG, Mishkin M. The ventral visual pathway: an expanded neural framework for the processing of object quality. Trends Cogn Sci. 2013;17:26–49.
Vuilleumier P, Sagiv N, Hazeltine E, Poldrack RA, Swick D, Rafal RD, et al. Neural fate of seen and unseen faces in visuospatial neglect: a combined event-related functional MRI and event-related potential study. Proc Natl Acad Sci USA. 2001;98:3495–500.
Kosslyn SM, Ganis G, Thompson WL. Neural foundations of imagery. Nat Rev Neurosci. 2001;2:635–42.
Sulpizio V, Teghil A, Ruffo I, Cartocci G, Giove F, Boccia M. Unveiling the neural network involved in mentally projecting the self through episodic autobiographical memories. Sci Rep. 2025;15:12781.
Norberg J, McMains S, Persson J, Mitchell JP. Frontotemporal contributions to social and non-social semantic judgements. J Neuropsychol. 2024;18:66–80.
Ralph MAL, Jefferies E, Patterson K, Rogers TT. The neural and computational bases of semantic cognition. Nat Rev Neurosci. 2017;18:42–55.
Dobbertin M, Blair KS, Carollo E, Blair JR, Dominguez A, Bajaj S. Neuroimaging alterations of the suicidal brain and its relevance to practice: an updated review of MRI studies. Front Psychiatry. 2023;14:1083244.
Zhang Z, Zhang Y, Wang H, Lei M, Jiang Y, Xiong D, et al. Resting-state network alterations in depression: a comprehensive meta-analysis of functional connectivity. Psychol Med. 2025;55:e63.
Chi S, Mok YE, Lee JH, Suh SI, Han C, Lee MS. Functional connectivity and network analysis in adolescents with major depressive disorder showing suicidal behavior. J Affect Disord. 2023;343:42–49.
Wang Q, He C, Wang Z, Fan D, Zhang Z, Xie C, et al. Connectomics-based resting-state functional network alterations predict suicidality in major depressive disorder. Transl Psychiatry. 2023;13:365.
Hanson JL, Adluru N, Chung MK, Alexander AL, Davidson RJ, Pollak SD. Early neglect is associated with alterations in white matter integrity and cognitive functioning. Child Dev. 2013;84:1566–78.
Tendolkar I, Mårtensson J, Kühn S, Klumpers F, Fernández G. Physical neglect during childhood alters white matter connectivity in healthy young males. Hum Brain Mapp. 2018;39:1283–90.
Lim L, Radua J, Beyh A. Structural connectivity abnormalities in suicidal thoughts and behaviours: a meta-analysis. Transl Psychiatry. 2025;15:480.
Mitchell O, Roddy DW, Connaughton M. Early life adversity and white matter microstructural organization—a systematic review. Brain Imaging Behav. 2025;19:785–799.
Olson EA, Overbey TA, Ostrand CG, Pizzagalli DA, Rauch SL, Rosso IM. Childhood maltreatment experiences are associated with altered diffusion in occipito-temporal white matter pathways. Brain Behav. 2020;10:e01485.
Funding
This work was supported by the National Research Foundation of Korea (NRF)—Korean government (Ministry of Science and ICT [MSIT]) (grant no: RS-2025-00523110) and the NRF [Korea-UK (MRC) Cooperative Development Program]—Korean government (MSIT) in 2023 (grant no: RS-2023-00303461).
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Concept and design: Kyu-Man Han and Byung-Joo Ham. Acquisition, curation, and provision of data: Byung-Joo Ham, Kyu-Man Han, Youbin Kang. Analysis and visualization: Minjee Jung, Jihoon Park, and Kyu-Man Han. Drafting of the manuscript: Minjee Jung, Jihoon Park, and Kyu-Man Han. Revision of the manuscript: Minjee Jung, Jihoon Park, and Kyu-Man Han. Methodological support: Youbin Kang, Daun Shin, June Kang, Hyuk-June Moon, and JeYoung Jung. Critical review and supervision: Marcus Kaiser and Dorothee Auer. Funding acquisition and overall supervision: Kyu-Man Han and Byung-Joo Ham.
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Jung, M., Park, J., Kang, Y. et al. Suicide attempt history, childhood trauma, and functional brain network alterations in major depressive disorder: a resting-state functional connectivity-based multivariate pattern analysis. Neuropsychopharmacol. 51, 759–768 (2026). https://doi.org/10.1038/s41386-025-02307-9
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DOI: https://doi.org/10.1038/s41386-025-02307-9


