Objective: Suicidal ideation (SI) is a risk factor for completed suicide. Our previous resting state functional magnetic resonance imaging (fMRI) study found that higher amplitude of low frequency fluctuation (ALFF) in right hippocampus and thalamus was associated with SI in major depressive disorder (MDD). The present study aimed to evaluate that association in participants with bipolar disorder (BD).
Methods: Thirty depressed, adult participants with a DSM-IV diagnosis of BD had resting state fMRI scans. Region-of-interest (ROI) analyses used ALFF values within areas that were previously associated with SI in MDD. Spearman rank correlation and ordinal regression analyses were performed to assess associations between ALFF values and the SI item of the Montgomery-Asberg Depression Rating Scale. Exploratory whole-brain analyses identified regions where ALFF was associated with SI.
Results: Within the right hippocampus region, SI was positively associated with ALFF (Spearman R = 0.490, P = .0060). Ordinal regression analysis indicated that for every 0.1-unit increase in ALFF in that region, the odds of having higher SI were increased by 35% (odds ratio = 1.35; 95% confidence interval, 1.08–1.73; P = .012). Within the previously identified thalamus cluster, SI was associated with ALFF only at a trend level (Spearman R = 0.310, P = .069). Whole-brain analyses identified 3 clusters of positive association between SI and ALFF, 1 of which was located in the right hippocampus.
Conclusions: This study found that our previous finding of positive association between SI and ALFF in the right hippocampus extended to bipolar depression. Future studies should examine the clinical utility of this association, and the role of the hippocampus in SI.
Trial Registration: Data used for this secondary analysis came from studies with ClinicalTrials.gov identifiers NCT02239094 (January 2015 through September 2016) and NCT02473250 (January 2015 through December 2019).
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McClay MM, O’Connor SS, Groh BN, et al. Denial of suicide attempt among hospitalized survivors of a self-inflicted gunshot wound. Psychiatr Serv. 2018;69(6):657–663. PubMedCrossRef
Apter A, Plutchik R, Sevy S, et al. Defense mechanisms in risk of suicide and risk of violence. Am J Psychiatry. 1989;146(8):1027–1031. PubMedCrossRef
WHO. World Heath Statistics 2021. Monitoring Health for the SDGs. WHO website. https://apps.who.int/iris/bitstream/handle/10665/342703/9789240027053-eng.pdf . 2021. Accessed March 9, 2022.
Mann JJ, Apter A, Bertolote J, et al. Suicide prevention strategies: a systematic review. JAMA. 2005;294(16):2064–2074. PubMedCrossRef
Mundt JC, Greist JH, Jefferson JW, et al. Prediction of suicidal behavior in clinical research by lifetime suicidal ideation and behavior ascertained by the electronic Columbia-Suicide Severity Rating Scale. J Clin Psychiatry. 2013;74(9):887–893. PubMedCrossRef
Zou Q, Wu CW, Stein EA, et al. Static and dynamic characteristics of cerebral blood flow during the resting state. Neuroimage. 2009;48(3):515–524. PubMedCrossRef
Li Z, Zhu Y, Childress AR, et al. Relations between BOLD fMRI-derived resting brain activity and cerebral blood flow. PLoS One. 2012;7(9):e44556. PubMedCrossRef
Zuo XN, Di Martino A, Kelly C, et al. The oscillating brain: complex and reliable. Neuroimage. 2010;49(2):1432–1445. PubMedCrossRef
Lan MJ, Rizk MM, Pantazatos SP, et al. Resting-state amplitude of low-frequency fluctuation is associated with suicidal ideation. Depress Anxiety. 2019;36(5):433–441. PubMedCrossRef
Wagner G, Li M, Sacchet MD, et al. Functional network alterations differently associated with suicidal ideas and acts in depressed patients: an indirect support to the transition model. Transl Psychiatry. 2021;11(1):100. PubMedCrossRef
Pompili M, Gonda X, Serafini G, et al. Epidemiology of suicide in bipolar disorders: a systematic review of the literature. Bipolar Disord. 2013;15(5):457–490. PubMedCrossRef
The World Health Report 2002: Reducing Risks, Promoting Healthy Life. Geneva, Switzerland: World Health Organization; 2002.
McIntyre RS, Berk M, Brietzke E, et al. Bipolar disorders. Lancet. 2020;396(10265):1841–1856. PubMedCrossRef
Rush AJ, Trivedi MH, Ibrahim HM, et al. The 16-Item Quick Inventory of Depressive Symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression. Biol Psychiatry. 2003;54(5):573–583. PubMedCrossRef
Hamilton M. A rating scale for depression. J Neurol Neurosurg Psychiatry. 1960;23(1):56–62. PubMedCrossRef
Lan MJ, Rubin-Falcone H, Motiwala F, et al. White matter tract integrity is associated with antidepressant response to lurasidone in bipolar depression. Bipolar Disord. 2017;19(6):444–449. PubMedCrossRef
Montgomery SA, Asberg M. A new depression scale designed to be sensitive to change. Br J Psychiatry. 1979;134(4):382–389. PubMedCrossRef
Lan MJ, Zanderigo F, Pantazatos SP, et al. Serotonin 1A receptor binding of [11C]CUMI-101 in bipolar depression quantified using positron emission tomography: relationship to psychopathology and antidepressant response. (online ahead of print) Int J Neuropsychopharmacol. 2022;pyac001. PubMedCrossRef
Craddock C, Sikka S, Cheung B, et al. Towards automated analysis of connectomes: the configurable pipeline for the analysis of connectomes (c-pac). Front Neuroinform. 2013:42.
Avants BB, Tustison NJ, Song G, et al. A reproducible evaluation of ANTs similarity metric performance in brain image registration. Neuroimage. 2011;54(3):2033–2044. PubMedCrossRef
Friston KJ, Williams S, Howard R, et al. Movement-related effects in fMRI time-series. Magn Reson Med. 1996;35(3):346–355. PubMedCrossRef
R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2021. https://www.R-project.org/.
Winkler AM, Ridgway GR, Webster MA, et al. Permutation inference for the general linear model. Neuroimage. 2014;92:381–397. PubMedCrossRef
Lett TA, Kennedy JL, Radhu N, et al. Prefrontal white matter structure mediates the influence of GAD1 on working memory. Neuropsychopharmacology. 2016;41(9):2224–2231. PubMedCrossRef
Anderson MJ, Robinson J. Permutation tests for linear models. Aust N Z J Stat. 2001;43(1):75–88. CrossRef
Smith SM, Nichols TE. Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage. 2009;44(1):83–98. PubMedCrossRef
Cao J, Chen X, Chen J, et al. Resting-state functional MRI of abnormal baseline brain activity in young depressed patients with and without suicidal behavior. J Affect Disord. 2016;205:252–263. PubMedCrossRef
Tian S, Zhu R, Chattun MR, et al. Temporal dynamics alterations of spontaneous neuronal activity in anterior cingulate cortex predict suicidal risk in bipolar II patients. Brain Imaging Behav. 2021;15(5):2481–2491. PubMedCrossRef
Gong J, Chen G, Zhou M, et al. Characteristics of temporal dynamics of intrinsic brain activity in unmedicated bipolar disorder with suicidality. Aust N Z J Psychiatry. 2020;54(11):1115–1124. PubMedCrossRef
Fan T, Wu X, Yao L, et al. Abnormal baseline brain activity in suicidal and non-suicidal patients with major depressive disorder. Neurosci Lett. 2013;534:35–40. PubMedCrossRef
Chase HW, Segreti AM, Keller TA, et al. Alterations of functional connectivity and intrinsic activity within the cingulate cortex of suicidal ideators. J Affect Disord. 2017;212:78–85. PubMedCrossRef
Du L, Zeng J, Liu H, et al. Fronto-limbic disconnection in depressed patients with suicidal ideation: a resting-state functional connectivity study. J Affect Disord. 2017;215:213–217. PubMedCrossRef
Wei S, Chang M, Zhang R, et al. Amygdala functional connectivity in female patients with major depressive disorder with and without suicidal ideation. Ann Gen Psychiatry. 2018;17(1):37. PubMedCrossRef
Li J, Duan X, Cui Q, et al. More than just statics: temporal dynamics of intrinsic brain activity predicts the suicidal ideation in depressed patients. Psychol Med. 2019;49(5):852–860. PubMedCrossRef
Weng JC, Chou YS, Tsai YH, et al. Connectome analysis of brain functional network alterations in depressive patients with suicidal attempt. J Clin Med. 2019;8(11):1966. PubMedCrossRef
Chen VC, Chou YS, Tsai YH, et al. Resting-state functional connectivity and brain network abnormalities in depressive patients with suicidal ideation. Brain Topogr. 2021;34(2):234–244. PubMedCrossRef
Ordaz SJ, Goyer MS, Ho TC, et al. Network basis of suicidal ideation in depressed adolescents. J Affect Disord. 2018;226:92–99. PubMedCrossRef
Cao J, Ai M, Chen X, et al. Altered resting-state functional network connectivity is associated with suicide attempt in young depressed patients. Psychiatry Res. 2020;285:112713. PubMedCrossRef
Cáceda R, Bush K, James GA, et al. Modes of Resting Functional Brain Organization Differentiate Suicidal Thoughts and Actions: A Preliminary Study. J Clin Psychiatry. 2018;79(4):17m11901. PubMedCrossRef
Cheng X, Chen J, Zhang X, et al. Alterations in resting-state global brain connectivity in bipolar I disorder patients with prior suicide attempt. Bipolar Disord. 2021;23(5):474–486. PubMed
Wang H, Zhu R, Dai Z, et al. Aberrant functional connectivity and graph properties in bipolar II disorder with suicide attempts. J Affect Disord. 2020;275:202–209. PubMedCrossRef
Huang X, Rootes-Murdy K, Bastidas DM, et al. Brain Differences Associated with Self-Injurious Thoughts and Behaviors: A Meta-Analysis of Neuroimaging Studies. Sci Rep. 2020;10(1):2404. PubMedCrossRef
Schuck A, Calati R, Barzilay S, et al. Suicide Crisis Syndrome: A review of supporting evidence for a new suicide-specific diagnosis. Behav Sci Law. 2019;37(3):223–239. PubMedCrossRef
Fehling KB, Selby EA. Suicide in DSM-5: Current Evidence for the Proposed Suicide Behavior Disorder and Other Possible Improvements. Front Psychiatry. 2021;11:499980. PubMedCrossRef
Huber RS, Hodgson R, Yurgelun-Todd DA. A qualitative systematic review of suicide behavior using the cognitive systems domain of the research domain criteria (RDoC) framework. Psychiatry Res. 2019;282:112589. PubMedCrossRef
Oquendo MA, Galfalvy HC, Choo TH, et al. Highly variable suicidal ideation: a phenotypic marker for stress induced suicide risk. Mol Psychiatry. 2021;26(9):5079–5086. PubMed