Hostname: page-component-7bb8b95d7b-lvwk9 Total loading time: 0 Render date: 2024-09-12T11:49:09.707Z Has data issue: false hasContentIssue false
  • English
  • Français

White Matter Hyperintensities and Their Association With Suicidally in Major Affective Disorders: A Meta-Analysis of Magnetic Resonance Imaging Studies

Published online by Cambridge University Press:  07 November 2014

Maria Conceição Grangeon ,
Camila Seixas ,
Lucas C. Quarantini ,
Angela Miranda-Scippa ,
Maurizio Pompili ,
David C. Steffens ,
Amy Wenzel ,
Acioly L. T. Lacerda  and
Irismar Reis de Oliveira
Get access Rights & Permissions [Opens in a new window]

Abstract

Introduction: Individuals who have deep and periventricular white matter hyperintensities may have a higher risk for suicidal behavior. There are mixed results in the literature regarding whether unipolar or bipolar patients who have attempted suicide have more deep white matter hyperintensities (DWMH) or periventricular hyperintensities (PVH) relative to those who have no history of suicide attempts.

Methods: A meta-analysis of studies examining white matter hyperintensities (WMH) in mood disorder patients with and without a history of suicide attempts was performed.

Results: Four studies, including a total of 173 patients who attempted suicide and 183 who did not attempt suicide, were included. A significantly higher number of attempters were found to have WMH than non-attempters. Unipolar depressed patients who had attempted suicide had 1.9 times more DWMH and 2.1 times more PVH than those who did not. Bipolar patients who had attempted suicide had 5.4 times more PVH than those who had not. Taken together, unipolar and bipolar patients who had attempted suicide had 2.8 times more DWMH and 4.5 times more PVH than those who had never attempted suicide.

Type
Original Research
Information
CNS Spectrums , Volume 15 , Issue 6 , June 2010 , pp. 375 - 381
Copyright
Copyright © Cambridge University Press 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

1. Centers for Disease Control and Prevention. Web-Based Injury Statistics Query and Reporting System (WISQARS). Available at: http://www.cdc.gov/ncipc/dvp/Suicide/suicide_data_sheet.pdf. Accessed January 3rd, 2009.Google Scholar
2. Kessler, RC, Borges, G, Walters, EE. Prevalence of and risk factors for lifetime suicide attempts in the National Comorbidity Survey. Arch Gen Psychiatry. 1999;56(7):617–626.Google Scholar
3. Nock, MK, Kessler, RC. Prevalence of and risk factors for suicide attempts versus suicide gestures: analysis of the National Comorbidity Survey. J Abnorm Psychol. 2006;115(3):616–623.Google Scholar
4. World Health Organization. Available at: http://www.who.int/mental_health/prevention/suicide/suicideprevent/en/. Accessed January 3, 2009.Google Scholar
5. Bostwick, JM, Pankratz, VS. Affective disorders and suicide risk: a reexamination. Am J Psychiatry. 2000;157(12):1925–1932.Google Scholar
6. Sinclair, JM, Harriss, L, Baldwin, DS, King, EA. Suicide in depressive disorders: a retrospective case-control study of 127 suicides. J Affect Disord. 2005;87(1):107–113.Google Scholar
7. Wenzel, A, Brown, GK, Beck, AT. Cognitive Therapy for Suicidal Patients: Scientific and Clinical Applications. Washington DC: American Psychological Association; 2009:3–12.Google Scholar
8. Mann, JJ. What does brain imaging tell us about the predisposition to suicidal behavior. Crisis. 2005;26(3):101–103.Google Scholar
9. Pandey, GN, Pandey, SC, Janicak, PG, Marks, RC, Davis, JM. Platelet serotonin-2 receptor binding sites in depression and suicide. Biol Psychiatry. 1990;28(3):215–222.Google Scholar
10. Pandey, GN, Pandey, SC, Dwivedi, Y, Sharma, RP, Janicak, PG, Davis, JM. Platelet serotonin-2A receptors: a potential biological marker for suicidal behavior. Am J Psychiatry. 1995;152(6):850–855.Google Scholar
11. Currier, D, Mann, JJ. Stress, genes and the biology of suicidal behavior. Psychiatr Clin North Am. 2008;31(2):247–269.Google Scholar
12. Coffey, CE, Figiel, GS, Djang, WT, Weiner, RD. Subcortical hyperintensity on magnetic resonance imaging: a comparison of normal and depressed elderly subjects. Am J Psychiatry. 1990;147(2):187–189.Google Scholar
13. Rabins, PV, Pearlson, GD, Aylward, E, Kumar, AJ, Dowell, K. Cortical magnetic resonance imaging changes in elderly inpatients with major depression. Am J Psychiatry. 1992;148(5):617–620.Google Scholar
14. Krishnan, KR, McDonald, WM, Doraiswamy, PM, et al. Neuroanatomical substrates of depression in the elderly. Eur Arch Psychiatry Clin Neurosci. 1993:243(1):41–46.Google Scholar
15. Ehrlich, S, Noam, GG, Lyoo, IK, Kwon, BJ, Clark, MA, Renshaw, PF. White matter hyperintensities and their associations with suicidality in psychiatrically hospitalized children and adolescents. J Am Acad Child Adolesc Psychiatry. 2004;43(6):770–776.Google Scholar
16. Ehrlich, S, Breeze, JL, Hesdorffer, DC, et al. White matter hyperintensities and their association with suicidality in depressed young adults. J Affect Disord 2005;86(2–3):281–287.Google Scholar
17. Pompili, M, Ehrlich, S, De Pisa, E, et al. White matter hyperintensities and their associations with suicidality in patients with major affective disorders. Eur Arch Psychiatry Clin Neurosci. 2007;257(8):494–499.Google Scholar
18. Pompili, M, Innamorati, M, Mann, JJ, et al. Periventricular white matter hyperintensities as predictors of suicide attempts in bipolar disorders and unipolar depression. Prog Neuropsychopharmacol Biol Psychiatry. 2008:32(6):1501–1507.Google Scholar
19. Taylor, WD, Payne, ME, Krishnan, KR, et al. Evidence of white matter tract disruption in MRI hyperintensities. Biol Psychiatry. 2001;50(3):179–183.Google Scholar
20. Soares, JC, Mann, JJ. The anatomy of mood disorders – review of structural neuroimaging studies. Biol Psychiatry. 1997;41(1):86–106.Google Scholar
21. Iosifescu, DV, Renshaw, PF, Lyoo, IK, et al. Brain white-matter hyperintensities and treatment outcome in major depressive disorder. Br J Psychiatry. 2006;188(2):180–185.Google Scholar
22. Ahearn, EP, Jamison, KR, Steffens, DC, et al. MRI correlates of suicide attempt history in unipolar depression. Biol Psychiatry. 2001;50(4):266–270.Google Scholar
23. Borenstein, M, Hedges, L, Higgins, J, Rothstein, H. Comprehensive meta-analysis. Available at: http://www.meta-analysis.com/. Accessed September 5,2009.Google Scholar
24. Abramson, JH. WINPEPI (PEPI-for-Windows), computer programs for epidemiologists. Available at: http://www.brixtonhealth.com/pepi4windows.html. Accessed September 5, 2009.Google Scholar
25. Hedges, LV, Olkin, I. Statistical Methods for Meta-analysis. Orlando: Academic Press; 1985:285–309.Google Scholar
26. Goldston, DB, Kovacs, M, Ho, VY, Parrone, PL, Stiffler, L. Suicidal ideation and suicide attempts among youth with insulin-dependent diabetes mellitus. J Am Acad Child Adolesc Psychiatry. 1994;33(2):240–246.Google Scholar
27. Placido, A, Sposito, AC. Association between suicide and cardiovascular disease: Time series of 27 years. Int J Cardiol. 2009;135(2):261–262.Google Scholar
28. Levitan, H. Suicidal trends in patients with asthma and hypertension. A chart study. Psychother Psychosom. 1983;39(3):165–170.Google Scholar
29. Gunning-Dixon, FM, Raz, N. The cognitive correlates of white matter abnormalities in normal aging: a quantitative review. Neuropsychology. 2000;14(2):224–232.Google Scholar
30. Sachdev, PS, Wen, W, Christensen, H, Jorm, AF. White matter hyperintensities are related to physical disability and poor motor function. J Neurol Neurosurg Psychiatry. 2005;76(3):362–367.Google Scholar
31. Starr, JM, Leaper, SA, Murray, AD, et al. Brain white matter lesions detected by magnetic resonance [correction of resonance] imaging are associated with balance and gait speed. J Neurol Neurosurg Psychiatry. 2003;74(1):94–98.Google Scholar
32. Sakakibara, R, Hattori, T, Uchiyama, T, Yamanishi, T. Urinary function in elderly people with and without leukoaraiosis: relation to cognitive and gait function. J Neurol Neurosurg Psychiatry. 1999;67(5):658–660.Google Scholar
33. Sheline, Yl, Price, JL, Vaishnavi, SN, et al. Regional white matter hyperintensity burden in automated segmentation distinguishes late-life depressed subjects from comparison subjects matched for vascular risk factors. Am J Psychiatry. 2008;165(4):524–532.Google Scholar