Modeling Suicidality with Multimodal Impulsivity Characterization in Participants with Mental Health Disorder

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dc.citation.articleNumbere8552180en_US
dc.citation.journalTitleBehavioural Neurologyen_US
dc.citation.volumeNumber2023en_US
dc.contributor.authorMoukaddam, Nidalen_US
dc.contributor.authorLamichhane, Bishalen_US
dc.contributor.authorSalas, Ramiroen_US
dc.contributor.authorGoodman, Wayneen_US
dc.contributor.authorSabharwal, Ashutoshen_US
dc.date.accessioned2024-05-08T18:56:10Zen_US
dc.date.available2024-05-08T18:56:10Zen_US
dc.date.issued2023en_US
dc.description.abstractIntroduction. Suicide is one of the leading causes of death across different age groups. The persistence of suicidal ideation and the progression of suicidal ideations to action could be related to impulsivity, the tendency to act on urges with low temporal latency, and little forethought. Quantifying impulsivity could thus help suicidality estimation and risk assessments in ideation-to-action suicidality frameworks. Methods. To model suicidality with impulsivity quantification, we obtained questionnaires, behavioral tests, heart rate variability (HRV), and resting state functional magnetic resonance imaging measurements from 34 participants with mood disorders. The participants were categorized into three suicidality groups based on their Mini-International Neuropsychiatric Interview: none, low, and moderate to severe. Results. Questionnaire and HRV-based impulsivity measures were significantly different between the suicidality groups with higher subscales of impulsivity associated with higher suicidality. A multimodal system to characterize impulsivity objectively resulted in a classification accuracy of 96.77% in the three-class suicidality group prediction task. Conclusions. This study elucidates the relative sensitivity of various impulsivity measures in differentiating participants with suicidality and demonstrates suicidality prediction with high accuracy using a multimodal objective impulsivity characterization in participants with mood disorders.en_US
dc.identifier.citationMoukaddam, N., Lamichhane, B., Salas, R., Goodman, W., & Sabharwal, A. (2023). Modeling Suicidality with Multimodal Impulsivity Characterization in Participants with Mental Health Disorder. Behavioural Neurology, 2023, e8552180. https://doi.org/10.1155/2023/8552180en_US
dc.identifier.digital8552180en_US
dc.identifier.doihttps://doi.org/10.1155/2023/8552180en_US
dc.identifier.urihttps://hdl.handle.net/1911/115671en_US
dc.language.isoengen_US
dc.publisherHindawien_US
dc.rightsExcept where otherwise noted, this work is licensed under a Creative Commons Attribution (CC BY) license. Permission to reuse, publish, or reproduce the work beyond the terms of the license or beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleModeling Suicidality with Multimodal Impulsivity Characterization in Participants with Mental Health Disorderen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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