{"id":303358,"date":"2025-11-24T08:06:08","date_gmt":"2025-11-24T08:06:08","guid":{"rendered":"https:\/\/www.newsbeep.com\/ca\/303358\/"},"modified":"2025-11-24T08:06:08","modified_gmt":"2025-11-24T08:06:08","slug":"speech-feature-identification-model-for-depressed-individuals-with-suicidal-ideation-based-on-autobiographical-memory-bmc-psychiatry","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/ca\/303358\/","title":{"rendered":"Speech feature identification model for depressed individuals with suicidal ideation based on autobiographical memory | BMC Psychiatry"},"content":{"rendered":"

McCarron RM, Shapiro B, Rawles J, Luo J. Depression. Ann Intern Med. 2021;174(5):ITC65\u201380.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Goodwin GM, Croal M, Marwood L, Malievskaia E. Unblinding and demand characteristics in the treatment of depression. J AFFECT DISORDERS. 2023;328:1\u20135.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Peltzer K, Pengpid S, Olowu S, Olasupo M. Depression and associated factors among university students in Western Nigeria. J PSYCHOL AFR. 2013;23(3):459\u201365.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Ishtiak-Ahmed K, Rohde C, K\u00f6hler\u2010Forsberg O, Christensen KS, Gasse C. Depression treatment trajectories and associated social determinants: A Three\u2010Year Follow\u2010Up study in 66,540 older adults undergoing First\u2010Time depression treatment in Denmark. INT J GERIATR PSYCH. 2024;39(11):e70006.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Fazel S, Runeson B, Suicide. NEW ENGL J MED. 2020;382(3):266\u201374.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Williams JM, Broadbent K. Autobiographical memory in suicide attempters. J Abnorm Psychol. 1986;95(2):144\u20139.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Martinengo L, Van Galen L, Lum E, Kowalski M, Subramaniam M, Car J. Suicide prevention and depression apps\u2019 suicide risk assessment and management: A systematic assessment of adherence to clinical guidelines. BMC MED. 2019;17(1):231\u2013231.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Su Y, Ye C, Xin Q, Si T. Major depressive disorder with suicidal ideation or behavior in Chinese population: A scoping review of current evidence on disease assessment, burden, treatment and risk factors. J Affect Disord. 2023;340:732\u201342.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

O\u2019Connor RC, Kirtley OJ. The integrated motivational\u2013volitional model of suicidal behaviour. Phil Trans R Soc B. 2018;373(1754):20170268\u201320170268.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Simes D, Shochet I, Murray K, Sands IG. Adolescent, caregivers, and therapists\u2019 experiences of youth and family suicide intervention: a qualitative study. Psychother Res. 2024;1\u201319.<\/p>\n

Williams JMG, Barnhofer T, Crane C, Hermans D, Raes F, Watkins E, Dalgleish T. Autobiographical memory specificity and emotional disorder. PSYCHOL BULL. 2007;133(1):122\u201348.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Yin Q, Xu H, Chen Z, Jiang Q, Liu T. Detection of suicide risk using event-related potentials: a comprehensive systematic review and meta-analysis. Psychoradiology. 2025;5:kkaf018.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Conway MA, Pleydell-Pearce CW. The construction of autobiographical memories in the Self-Memory system. Psychol Rev. 2000;107(2):261\u201388.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Fang J, Dong Y. Autobiographical memory disturbance in depression. PSYCHOL HEALTH MED. 2022;27(7):1618\u201326.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Rice F, Rawal A, Riglin L, Lewis G, Lewis G, Dunsmuir S. Examining reward-seeking, negative self-beliefs and over-general autobiographical memory as mechanisms of change in classroom prevention programs for adolescent depression. J AFFECT DISORDERS. 2015;186:320\u20137.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Jiang W, Hu G, Zhang J, Chen K, Fan D, Feng Z. Distinct effects of over-general autobiographical memory on suicidal ideation among depressed and healthy people. BMC Psychiatry. 2020;20(1):501\u2013501.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Bruno E, Martz E, Weiner L, Greco A, Vanello N. Speech signal analysis as an aid to clinical diagnosis and assessment of mental health disorders. BIOMED SIGNAL PROCES. 2023;85:104854.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Min S, Shin D, Rhee SJ, Park CHK, Yang JH, Song Y, Kim MJ, Kim K, Cho WI, Kwon OC, et al. Acoustic analysis of speech for screening for suicide risk: machine learning classifiers for Between- and Within-Person evaluation of suicidality. J Med Internet Res. 2023;25:e45456.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Mundt JC, Vogel AP, Feltner DE, Lenderking WR. Vocal acoustic biomarkers of depression severity and treatment response. BIOL PSYCHIAT. 2012;72(7):580\u20137.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Sahu S, Espy-Wilson C. Effects of depression on speech. J Acoust Soc Am. 2014;136(4Supplement):2312\u20132312.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Wang J, Ravi V, Flint J, Alwan A. Unsupervised Instance Discriminative Learning for Depression Detection from Speech Signals. In. Ithaca: Ithaca: Cornell University Library, arXiv.org. 2022.<\/p>\n

Amiriparian S, Gerczuk M, Lutz J, Strube W, Papazova I, Hasan A, Kathan A, Schuller BW. Non-Invasive Suicide Risk Prediction Through Speech Analysis. 2024.<\/p>\n

Sinha P, Vandana VP, Lewis NV, Jayaram M, Enderby P. Predictors of effect of atypical antipsychotics on speech. Indian J Psychol Med. 2015;37(4):429\u201333.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Steer RA, Rissmiller DJ, Beck AT. Use of the Beck depression Inventory-II with depressed geriatric inpatients. BEHAV RES THER. 2000;38(3):311\u20138.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Wang Zhen YC-M, Huang Jia LZ-Z, Jue C. Zhang Hai-Yin, Fang Yi-Ru, Xiao Ze-Ping: reliability and validity of the Chinese version of Beck depression Inventory-II among depression Patients. \u5317\u4eac\u56de\u9f99\u89c2\u533b\u9662;\u5317\u4eac\u5fc3\u7406\u5371\u673a\u7814\u7a76\u4e0e\u5e72\u9884\u4e2d\u5fc3;WHO\u5fc3\u7406\u5371\u673a\u9884\u9632\u7814\u7a76\u4e0e\u57f9\u8bad\u5408\u4f5c\u4e2d\u5fc3 2011, 25(6):476\u201380.<\/p>\n

Li XYPM, Tong YS, Li KJ, Zhang YL, Zhang YP, et al. Reliability and validity of the Chinese version of Beck suicide ideation Scale(BSI-CV)in adult community residents. Chin Ment Health J. 2010;24(4):250\u20135.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Spezialetti M, Placidi G, Rossi S. Emotion recognition for Human-Robot interaction: recent advances and future perspectives. Front Robot AI. 2020;7:532279.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Grilli MD, Sheldon S. Autobiographical event memory and aging: older adults get the gist. Trends Cogn Sci. 2022;26(12):1079\u201389.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Chu C. Autobiographical memory perspectives in suicide attempt and task recall: a study of young adults with and without symptoms of suicidality. ProQuest Dissertations & Theses; 2015.<\/p>\n

Weiss-Cowie S, Verhaeghen P, Duarte A. An updated account of overgeneral autobiographical memory in depression. NEUROSCI BIOBEHAV R. 2023;149:105157\u2013105157.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Sumner JA. The mechanisms underlying overgeneral autobiographical memory: an evaluative review of evidence for the CaR-FA-X model. CLIN PSYCHOL REV. 2012;32(1):34\u201348.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Schuller BW, Batliner AM. Computational paralinguistics: emotion, affect and personality in speech and Language processing, first edition. edn. Chichester: Chichester: Wiley; 2013.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Yamamoto M, Takamiya A, Sawada K, Yoshimura M, Kitazawa M, Liang KC, Fujita T, Mimura M, Kishimoto T. Using speech recognition technology to investigate the association between timing-related speech features and depression severity. PLoS ONE. 2020;15(9):e0238726.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Y\u00fcnden S, Ak M, Sert M, Gica S, \u00c7inar O, Acar YA. Examination of speech analysis to predict suicidal behavior in depression. Eur Psychiatry. 2024;67(S1):S57\u20138.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Suparatpinyo S, Soonthornphisaj N. Smart voice recognition based on deep learning for depression diagnosis. Artif Life Rob. 2023;28(2):332\u201342.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Li R, Yang J, Li L, Shen F, Zou T, Wang H, Wang X, Li J, Deng C, Huang X, et al. Integrating multilevel functional characteristics reveals aberrant neural patterns during audiovisual emotional processing in depression. CEREB CORTEX. 2021;32(1):1\u201314.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zhou Y, Han W, Yao X, Xue J, Li Z, Li Y. Developing a machine learning model for detecting depression, anxiety, and apathy in older adults with mild cognitive impairment using speech and facial expressions: A cross-sectional observational study. INT J NURS STUD. 2023;146:104562\u2013104562.<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n","protected":false},"excerpt":{"rendered":"McCarron RM, Shapiro B, Rawles J, Luo J. Depression. Ann Intern Med. 2021;174(5):ITC65\u201380. Google Scholar\u00a0 Goodwin GM, Croal…\n","protected":false},"author":2,"featured_media":202311,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[136178,49,48,6319,84,796,2986,26445,26246,13511],"class_list":["post-303358","post","type-post","status-publish","format-standard","has-post-thumbnail","category-health","tag-autobiographical-memory","tag-ca","tag-canada","tag-depression","tag-health","tag-machine-learning","tag-psychiatry","tag-psychotherapy","tag-speech","tag-suicide"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/303358","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/comments?post=303358"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/303358\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media\/202311"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media?parent=303358"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/categories?post=303358"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/tags?post=303358"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}