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Record W4294991267 · doi:10.1038/s41380-022-01734-0

Structural brain alterations associated with suicidal thoughts and behaviors in young people: results from 21 international studies from the ENIGMA Suicidal Thoughts and Behaviours consortium

2022· article· en· W4294991267 on OpenAlexafffund
Laura S. van Velzen, Maria R. Dauvermann, Lejla Čolić, Luca M. Villa, Hannah S. Savage, Yara J. Toenders, Alyssa H. Zhu, Joanna K. Bright, Adrián I. Campos, Lauren E. Salminen, Sonia Ambrogi, Rosa Ayesa‐Arriola, Nerisa Banaj, Zeynep Başgöze, Jochen Bauer, Karina S. Blair, James Blair, Katharina Brosch, Yuqi Cheng, Romain Colle, Colm G. Connolly, Emmanuelle Corruble, Baptiste Couvy‐Duchesne, Benedicto Crespo‐Facorro, Kathryn R. Cullen, Udo Dannlowski, Christopher G. Davey, Katharina Dohm, Janice M. Fullerton, Ali Saffet Gönül, Ian H. Gotlib, Dominik Grotegerd, Tim Hahn, Ben J. Harrison, Mengxin He, Ian B. Hickie, Tiffany C. Ho, Frank Iorfino, Andreas Jansen, Fabrice Jollant, Tilo Kircher, Bonnie Klimes‐Dougan, Melissa Klug, Elisabeth J. Leehr, Elizabeth Lippard, Katie A. McLaughlin, Susanne Meinert, Adam Bryant Miller, Philip B. Mitchell, Benson Mwangi, Igor Nenadić, Amar Ojha, Bronwyn J. Overs, Julia‐Katharina Pfarr, Fabrizio Piras, Kai G. Ringwald, Gloria Roberts, Georg Romer, Marsal Sanches, Margaret A. Sheridan, Jair C. Soares, Gianfranco Spalletta, Frederike Stein, Giana I. Teresi, Diana Tordesillas‐Gutiérrez, Aslihan Uyar-Demir, Nic J. A. van der Wee, Steven van der Werff, Robert Vermeiren, Alexandra Winter, Mon‐Ju Wu, Tony T. Yang, Paul M. Thompson, Miguel E. Rentería, Neda Jahanshad, Hilary P. Blumberg, Anne‐Laura van Harmelen, Lianne Schmaal

Bibliographic record

VenueMolecular Psychiatry · 2022
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsChild, Adolescent and Family Mental HealthMcGill University
FundersNational Center for Complementary and Integrative HealthNational Institute of Mental HealthInstituto de Salud Carlos IIINational Center for Advancing Translational SciencesDepartment of Psychology, Harvard UniversityMedizinische Fakultät, Westfälische Wilhelms-Universität MünsterInstitute for Translational NeuroscienceHarvard UniversityUniversity of North Carolina at Chapel HillNational Institutes of HealthUniversité de ParisInstituto de Física de CantabriaWaggoner Center for Alcohol and Addiction Research, University of Texas at AustinSuicide Prevention AustraliaRTI InternationalSorbonne UniversitéMedical Research CouncilNational Center for Research ResourcesNational Alliance for Research on Schizophrenia and DepressionLeids Universitair Medisch CentrumEuropean Regional Development FundCentre National de la Recherche ScientifiqueUniversity of California, San FranciscoInstitut National de la Santé et de la Recherche MédicaleMinistero della SaluteNational Health and Medical Research CouncilInternational Bipolar FoundationEge ÜniversitesiUniversidad de CantabriaWestfälische Wilhelms-Universität MünsterUniversity of QueenslandYale UniversityNational Institute on Alcohol Abuse and AlcoholismUniversity of PittsburghUniversity of New South WalesAssistance publique-Hôpitaux de ParisFlorida State UniversityAgence Nationale de la RechercheDell Medical School, University of Texas at AustinBrain and Behavior Research FoundationMcGill UniversityDeutsche ForschungsgemeinschaftDepartment of Radiology and Biomedical Imaging, University of California, San FranciscoMcGovern Medical SchoolKlingenstein Third Generation FoundationUniversiteit LeidenKunming Medical UniversityInstituto de Investigación Marqués de ValdecillaNeuroscience Research AustraliaCentro de Investigación Biomédica en Red de Salud MentalChild Study Center, Yale School of MedicinePhilipps-Universität MarburgUniversity of MinnesotaAmerican Foundation for Suicide PreventionUniversity of MelbourneMQ: Transforming Mental Health
KeywordsPsychologyPsychiatryHuman factors and ergonomicsSuicide preventionInjury preventionSuicidal behaviorPoison controlClinical psychologyMedicineMedical emergency

Abstract

fetched live from OpenAlex

Identifying brain alterations associated with suicidal thoughts and behaviors (STBs) in young people is critical to understanding their development and improving early intervention and prevention. The ENIGMA Suicidal Thoughts and Behaviours (ENIGMA-STB) consortium analyzed neuroimaging data harmonized across sites to examine brain morphology associated with STBs in youth. We performed analyses in three separate stages, in samples ranging from most to least homogeneous in terms of suicide assessment instrument and mental disorder. First, in a sample of 577 young people with mood disorders, in which STBs were assessed with the Columbia Suicide Severity Rating Scale (C-SSRS). Second, in a sample of young people with mood disorders, in which STB were assessed using different instruments, MRI metrics were compared among healthy controls without STBs (HC; N = 519), clinical controls with a mood disorder but without STBs (CC; N = 246) and young people with current suicidal ideation (N = 223). In separate analyses, MRI metrics were compared among HCs (N = 253), CCs (N = 217), and suicide attempters (N = 64). Third, in a larger transdiagnostic sample with various assessment instruments (HC = 606; CC = 419; Ideation = 289; HC = 253; CC = 432; Attempt=91). In the homogeneous C-SSRS sample, surface area of the frontal pole was lower in young people with mood disorders and a history of actual suicide attempts (N = 163) than those without a lifetime suicide attempt (N = 323; FDR-p = 0.035, Cohen's d = 0.34). No associations with suicidal ideation were found. When examining more heterogeneous samples, we did not observe significant associations. Lower frontal pole surface area may represent a vulnerability for a (non-interrupted and non-aborted) suicide attempt; however, more research is needed to understand the nature of its relationship to suicide risk.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.301
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations22
Published2022
Admission routes2
Has abstractyes

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