Michael R Dolsen1, Philip Cheng2, J Todd Arnedt3, Leslie Swanson3, Melynda D Casement4, Hyang Sook Kim5, Jennifer R Goldschmied6, Robert F Hoffmann3, Roseanne Armitage3, Patricia J Deldin6. 1. Department of Psychology, University of California, Berkeley, CA 94720, USA. Electronic address: mdolsen@berkeley.edu. 2. Sleep Disorders and Research Center, Henry Ford Hospital, Detroit, MI 48202, USA. 3. Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA. 4. Department of Psychology, University of Oregon, Eugene, OR 97405, USA. 5. Department of Psychology, Sogang University, Seoul 121-742, Korea. 6. Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA.
Abstract
BACKGROUND: Suicide is a major public health concern, and a barrier to reducing the suicide rate is the lack of objective predictors of risk. The present study considers whether quantitative sleep electroencephalography (EEG) may be a neurobiological correlate of suicidal ideation. METHODS: Participants included 84 (45 female, mean age=26.6) adults diagnosed with major depressive disorder (MDD). The item that measures thoughts of death or suicide on the Quick Inventory of Depressive Symptomatology (QIDS) was used to classify 47 participants as low suicidal ideation (24 females, mean age=26.1) and 37 as high suicidal ideation (21 females, mean age=27.3). Data were obtained from archival samples collected at the University of Michigan and University of Texas Southwestern Medical Center between 2004 and 2012. Sleep EEG was quantified using power spectral analysis, and focused on alpha, beta, and delta frequencies. RESULTS: Results indicated that participants with high compared to low suicidal ideation experienced 1) increased fast frequency activity, 2) decreased delta activity, and 3) increased alpha-delta sleep after adjusting for age, sex, depression, and insomnia symptoms. LIMITATIONS: Limitations include the exclusion of imminent suicidal intent, a single suicidal ideation item, and cross-sectional archival data. CONCLUSIONS: This is one of the first studies to provide preliminary support that electrophysiological brain activity during sleep is associated with increased suicidal ideation in MDD, and may point toward central nervous system (CNS) hyperarousal during sleep as a neurobiological correlate of suicidal ideation.
BACKGROUND: Suicide is a major public health concern, and a barrier to reducing the suicide rate is the lack of objective predictors of risk. The present study considers whether quantitative sleep electroencephalography (EEG) may be a neurobiological correlate of suicidal ideation. METHODS:Participants included 84 (45 female, mean age=26.6) adults diagnosed with major depressive disorder (MDD). The item that measures thoughts of death or suicide on the Quick Inventory of Depressive Symptomatology (QIDS) was used to classify 47 participants as low suicidal ideation (24 females, mean age=26.1) and 37 as high suicidal ideation (21 females, mean age=27.3). Data were obtained from archival samples collected at the University of Michigan and University of Texas Southwestern Medical Center between 2004 and 2012. Sleep EEG was quantified using power spectral analysis, and focused on alpha, beta, and delta frequencies. RESULTS: Results indicated that participants with high compared to low suicidal ideation experienced 1) increased fast frequency activity, 2) decreased delta activity, and 3) increased alpha-delta sleep after adjusting for age, sex, depression, and insomnia symptoms. LIMITATIONS: Limitations include the exclusion of imminent suicidal intent, a single suicidal ideation item, and cross-sectional archival data. CONCLUSIONS: This is one of the first studies to provide preliminary support that electrophysiological brain activity during sleep is associated with increased suicidal ideation in MDD, and may point toward central nervous system (CNS) hyperarousal during sleep as a neurobiological correlate of suicidal ideation.
Authors: Daniel J Buysse; Anne Germain; Martica L Hall; Douglas E Moul; Eric A Nofzinger; Amy Begley; Cindy L Ehlers; Wesley Thompson; David J Kupfer Journal: Sleep Date: 2008-12 Impact factor: 5.849
Authors: Roseanne Armitage; Robert Hoffmann; Graham Emslie; Jeanne Rintelmann; Jennifer Robert Journal: Clin EEG Neurosci Date: 2006-01 Impact factor: 1.843
Authors: Samuel J Bowers; Sophie Lambert; Shannon He; Christopher A Lowry; Monika Fleshner; Kenneth P Wright; Fred W Turek; Martha H Vitaterna Journal: Sleep Date: 2021-06-11 Impact factor: 5.849
Authors: David S Uygun; Chun Yang; Elena R Tilli; Fumi Katsuki; Erik L Hodges; James T McKenna; James M McNally; Ritchie E Brown; Radhika Basheer Journal: Nat Commun Date: 2022-04-26 Impact factor: 17.694
Authors: Elizabeth D Ballard; Deanna Greenstein; Wallace C Duncan; Nadia Hejazi; Jessica Gerner; Carlos A Zarate Journal: Biol Psychiatry Glob Open Sci Date: 2021-07-21