Eggenberger L, Spangenberg L, Genuchi M, Walther A
Heliyon. 2024; 10(20):e39094.
PMID: 39640782
PMC: 11620066.
DOI: 10.1016/j.heliyon.2024.e39094.
Grove J, Tunno A, Cheek S, Weller B, Heilbron N, Inscoe A
Suicide Life Threat Behav. 2024; 55(2):e13140.
PMID: 39508324
PMC: 11879758.
DOI: 10.1111/sltb.13140.
Reinbergs E, Smith L, Au J, Marraccini M, Griffin S, Rogers M
Res Child Adolesc Psychopathol. 2024; .
PMID: 39448436
DOI: 10.1007/s10802-024-01261-2.
Ferzan Ergun F, Kazan Kizilkurt O, Yazici M, Gulec H
Alpha Psychiatry. 2024; 25(4):502-512.
PMID: 39360296
PMC: 11443287.
DOI: 10.5152/alphapsychiatry.2024.241564.
Kivela L, van der Does A, Gilissen R, Antypa N
Acta Psychiatr Scand. 2024; 151(3):375-387.
PMID: 39187415
PMC: 11787920.
DOI: 10.1111/acps.13750.
Examining the predictive utility of suicidal ideation characteristics in relation to real-time monitoring of suicidal ideation and suicide attempts at follow-up.
Rogers M, Bozzay M, Hughes C, Schatten H, Armey M
Suicide Life Threat Behav. 2024; 54(6):982-992.
PMID: 38888350
PMC: 11629601.
DOI: 10.1111/sltb.13103.
Dynamic learning of individual-level suicidal ideation trajectories to enhance mental health care.
Varidel M, Hickie I, Prodan A, Skinner A, Marchant R, Cripps S
Npj Ment Health Res. 2024; 3(1):26.
PMID: 38849429
PMC: 11161660.
DOI: 10.1038/s44184-024-00071-0.
Heterogeneity in suicide risk: Evidence from personalized dynamic models.
Coppersmith D, Kleiman E, Millner A, Wang S, Arizmendi C, Bentley K
Behav Res Ther. 2024; 180:104574.
PMID: 38838615
PMC: 11323201.
DOI: 10.1016/j.brat.2024.104574.
A Computational Model of Hopelessness and Active-Escape Bias in Suicidality.
Karvelis P, Diaconescu A
Comput Psychiatr. 2024; 6(1):34-59.
PMID: 38774778
PMC: 11104346.
DOI: 10.5334/cpsy.80.
Emotional regulation and suicidal ideation-Mediating roles of perceived social support and avoidant coping.
Gupta S, Fischer J, Roy S, Bhattacharyya A
Front Psychol. 2024; 15:1377355.
PMID: 38629033
PMC: 11018903.
DOI: 10.3389/fpsyg.2024.1377355.
Predicting suicidality in late-life depression by 3D convolutional neural network and cross-sample entropy analysis of resting-state fMRI.
Lin C, Huang C, Chang W, Chang Y, Liu H, Ng S
Brain Behav. 2024; 14(1):e3348.
PMID: 38376042
PMC: 10790060.
DOI: 10.1002/brb3.3348.
Early Risk Factors for Self-Injurious Thoughts and Behaviours: A UK Population-Based Study of 219,581 People.
Porras-Segovia A, Pascual-Sanchez A, Greenfield G, Creese H, Saxena S, Hargreaves D
Behav Sci (Basel). 2024; 14(1).
PMID: 38247668
PMC: 10812924.
DOI: 10.3390/bs14010016.
Safety plan use in the daily lives of adolescents after psychiatric hospitalization.
May A, Al-Dajani N, Ballard E, Czyz E
Suicide Life Threat Behav. 2023; 53(5):870-879.
PMID: 37605441
PMC: 10592210.
DOI: 10.1111/sltb.12989.
The use of advanced technology and statistical methods to predict and prevent suicide.
Kleiman E, Glenn C, Liu R
Nat Rev Psychol. 2023; 2(6):347-359.
PMID: 37588775
PMC: 10426769.
DOI: 10.1038/s44159-023-00175-y.
Suicidal thoughts and behaviours among military veterans: protocol for a prospective, observational, neuroimaging study.
Namaky N, Swearingen H, Winter J, Bozzay M, Primack J, Philip N
BMJ Open. 2023; 13(8):e070654.
PMID: 37586858
PMC: 10432662.
DOI: 10.1136/bmjopen-2022-070654.
Relationship of stress-reactive cortisol to suicidal intent of prior attempts in major depression.
Herzog S, Galfalvy H, Keilp J, Mann J, Sublette M, Burke A
Psychiatry Res. 2023; 327:115315.
PMID: 37542793
PMC: 10530442.
DOI: 10.1016/j.psychres.2023.115315.
Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality.
Min S, Shin D, Rhee S, Park C, Yang J, Song Y
J Med Internet Res. 2023; 25:e45456.
PMID: 36951913
PMC: 10131783.
DOI: 10.2196/45456.
Screening and Assessment of Suicidal Behavior in Transition-Age Youth with Foster Care Involvement.
Katz C, Gopalan G, Wall E, Leoni-Hughes H, Pargiter T, Collins D
Child Adolesc Social Work J. 2023; :1-13.
PMID: 36687511
PMC: 9838394.
DOI: 10.1007/s10560-023-00913-4.
Attentional control deficits and suicidal ideation variability: An ecological momentary assessment study in major depression.
Herzog S, Keilp J, Galfalvy H, Mann J, Stanley B
J Affect Disord. 2022; 323:819-825.
PMID: 36549341
PMC: 10448451.
DOI: 10.1016/j.jad.2022.12.053.
Understanding suicidal pathways through the lens of a Dual-System Model of Suicidality in real-time: The potential of ecological momentary assessments.
Brudern J, Glaesmer H, Berger T, Spangenberg L
Front Psychiatry. 2022; 13:899500.
PMID: 36518367
PMC: 9742465.
DOI: 10.3389/fpsyt.2022.899500.