Altered white matter integrity in individuals with cognitive vulnerability to depression: A tract-based spatial statistics study

Scientific Reports

Volumn 5, Issue , 2015, Pages

  Xiao, Jing ^a   He, Yini ^a   McWhinnie, Chad M ^b   Yao, Shuqiao ^c,d  

^a CAPITAL NORMAL UNIVERSITY   (China)

^b HARVARD MEDICAL SCHOOL   (United States)

^c CENTRAL SOUTH UNIVERSITY   (China)

^d Hunan Province Technology Institute of Psychiatry   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; BRAIN MAPPING; CASE CONTROL STUDY; CHILD; COGNITIVE DEFECT; DIFFUSION TENSOR IMAGING; FEMALE; HUMAN; IMAGE PROCESSING; MAJOR DEPRESSION; MALE; PATHOLOGY; PATHOPHYSIOLOGY; WHITE MATTER; YOUNG ADULT;

ADOLESCENT; ADULT; BRAIN MAPPING; CASE-CONTROL STUDIES; CHILD; COGNITION DISORDERS; DEPRESSIVE DISORDER, MAJOR; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; WHITE MATTER; YOUNG ADULT;

EID: 84929589975     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep09738     Document Type: Article

References (42)

1. Abela, J. R., Aydin, C. & Auerbach, R. P. Operationalizing the "vulnerability" and "stress" components of the hopelessness theory of depression: A multi-wave longitudinal study. Behav Res Thery 44, 1565-1583 (2006).
2. Abela, J. R. & McGirr, A. Operationalizing cognitive vulnerability and stress from the perspective of the hopelessness theory: A multi-wave longitudinal study of children of affectively ill parents. Br J Clin Psychol 46, 377-395 (2007).
3. Alloy, L. B. et al. The Temple-Wisconsin Cognitive Vulnerability to Depression Project: lifetime history of axis I psychopathology in individuals at high and low cognitive risk for depression. J Abnorm Psychol 109, 403-418 (2000).
4. Abramson, L. Y., Metalsky, G. I. & Alloy, L. B. Hopelessness depression: A theorybased subtype of depression. Psychol Rev 96, 358 (1989).
5. Haeffel, G. J. et al. Measuring cognitive vulnerability to depression: development and validation of the cognitive style questionnaire. Clin Psychol Rev 28, 824-836 (2008).
6. Abramson, L. Y. et al. Cognitive vulnerability to depression: Theory and evidence. J Cogn Psychother 13, 5-20 (1999).
7. Alloy, L. B. et al. Prospective incidence of first onsets and recurrences of depression in individuals at high and low cognitive risk for depression. J Abnorm Psychol 115, 145-156 (2006).
8. Just, N., Abramson, L. Y. & Alloy, L. B. Remitted depression studies as tests of the cognitive vulnerability hypotheses of depression onset: a critique and conceptual analysis. Clin Psychol Rev 21, 63-83 (2001).
9. Abramson, L. Y. et al. Cognitive vulnerability-stress models of depression in a self-regulatory and psychobiological context. Handbook of depression (eds Gotlib, L. H. & Hammen, C. L.), 268-294, (Guilford Press, 2002).
10. Abramson, L. Y. et al. Suicidality and cognitive vulnerability to depression among college students: a prospective study. J Adolesc 21, 473-487 (1998).
11. Xiao, J. et al. 'Weakest Link' as a Cognitive Vulnerability Within the Hopelessness Theory of Depression in Chinese University Students. Stress Health, doi:10.1002/smi.2571 (2014).
12. Rogers, M. A., Bradshaw, J. L., Pantelis, C. & Phillips, J. G. Frontostriatal deficits in unipolar major depression. Brain Res Bull 47, 297-310 (1998).
13. Price, J. L. & Drevets, W. C. Neurocircuitry of mood disorders. Neuropsychopharmacology 35, 192-216, doi:10.1038/npp. 2009.104 (2010).
14. Seminowicz, D. A. et al. Limbic-frontal circuitry in major depression: a path modeling metanalysis. Neuroimage 22, 409-418 (2004).
15. Huang, H., Fan, X., Williamson, D. E. & Rao, U. White matter changes in healthy adolescents at familial risk for unipolar depression: a diffusion tensor imaging study. Neuropsychopharmacology 36, 684-691 (2011).
16. Zhang, X. et al. Gray matter volume abnormalities in individuals with cognitive vulnerability to depression: a voxel-based morphometry study. J Affect Disord 136, 443-452 (2012).
17. Zhong, M. et al. Amygdala hyperactivation and prefrontal hypoactivation in subjects with cognitive vulnerability to depression. Biol Psychol 88, 233-242 (2011).
18. Auerbach, R. P., Webb, C. A., Gardiner, C. K. & Pechtel, P. Behavioral and neural mechanisms underlying cognitive vulnerability models of depression. J Cogn Psychother 23, 222-235 (2013).
19. Bennett, I. J., Madden, D. J., Vaidya, C. J., Howard, D. V. & Howard, J. H., Jr. Agerelated differences in multiple measures of white matter integrity: A diffusion tensor imaging study of healthy aging. Hum Brain Mapp 31, 378-390 (2010).
20. Johansen-Berg, H. & Behrens, T. E. Diffusion MRI: from quantitative measurement to in vivo neuroanatomy (eds Heidi Johansen-Berg & Timothy EJ Behrens), (Academic Press, 2013).
21. Sexton, C. E., Mackay, C. E. & Ebmeier, K. P. A systematic review of diffusion tensor imaging studies in affective disorders. Biol Psychiatry 66, 814-823 (2009).
22. Frodl, T. et al. Microstructural Correlates of Resilience in Unaffected Subjects at Risk for Major Depression. Nature Precedings, doi:10.1038/npre.2010.4793.2 (2009).
23. Keedwell, P. A. et al. Cingulum white matter in young women at risk of depression: the effect of family history and anhedonia. Biol Psychiatry 72, 296-302 (2012).
24. Bracht, T. et al. White matter microstructure alterations of the medial forebrain bundle in melancholic depression. J Affect Disord 155, 186-193, doi:10.1016/j. jad.2013.10.048 (2014).
25. Coenen, V. A., Schlaepfer, T. E., Maedler, B. & Panksepp, J. Cross-species affective functions of the medial forebrain bundle-implications for the treatment of affective pain and depression in humans. Neurosci Biobehav Rev 35, 1971-1981 (2011).
26. Choi, K., Craddock, R., Holtzheimer, P., Hu, X. & Mayberg, H. White matter disruption in early- and late-onset depression: a tract-based spatial statistical analysis. Proc. Intl. Soc. Mag. Reson. Med 16, 3553 (2008).
27. Tekin, S. & Cummings, J. L. Frontal-subcortical neuronal circuits and clinical neuropsychiatry: an update. J Psychosom Res 53, 647-654 (2002).
28. Alexopoulos, G. S., Kiosses, D. N., Choi, S. J., Murphy, C. F. & Lim, K. O. Frontal white matter microstructure and treatment response of late-life depression: a preliminary study. Am J Psychiatry 159, 1929-1932 (2002).
29. Bracht, T., Doidge, A. N., Keedwell, P. A. & Jones, D. K. Hedonic tone is associated with left supero-lateral medial forebrain bundle microstructure. Psychol Med 45, 865-874 (2015).
30. Disner, S. G., Beevers, C. G., Haigh, E. A. & Beck, A. T. Neural mechanisms of the cognitive model of depression. Nat Rev Neurosci 12, 467-477 (2011).
31. Zhuang, L. et al. White matter integrity in mild cognitive impairment: a tractbased spatial statistics study. Neuroimage 53, 16-25 (2010).
32. Selden, N. R., Gitelman, D. R., Salamon-Murayama, N., Parrish, T. B. & Mesulam, M. M. Trajectories of cholinergic pathways within the cerebral hemispheres of the human brain. Brain 121(Pt 12), 2249-2257 (1998).
33. Korgaonkar, M. S. et al. Loss of white matter integrity in major depressive disorder: evidence using tract-based spatial statistical analysis of diffusion tensor imaging. Hum Brain Mapp 32, 2161-2171 (2011).
34. Abela, J. R. & Sarin, S. Cognitive vulnerability to hopelessness depression: A chain is only as strong as its weakest link. Cognit Ther Res 26, 811-829 (2002).
35. Abela, J. R., Skitch, S. A., Adams, P. & Hankin, B. L. The timing of parent and child depression: a hopelessness theory perspective. J Clin Child Adolesc Psychol 35, 253-263 (2006).
36. First, M. B., Spitzer, R. L., Gibbon, M. & Williams, J. B. Structured Clinical Interview for DSM-IV Axis I Disorders: Patient Edition (February 1996 Final), SCID-I/P (eds Michael B First, Robert L Spitzer, Miriam Gibbon, & Janet BW Williams), (Biometrics Research Department, New York State Psychiatric Institute, 1998).
37. Xiao, J., He, L. K., Jin, X. Y. & Bai, Y. The cognitive strategies and emotion regulation in high cognitive risk to depression undergraduate students. Chinese Journal of Behavioral Medicine and Brain Science 82, 419-430 (2013).
38. Radloff, L. S. The CES-D scale a self-report depression scale for research in the general population. Appl Psychol Meas 1, 385-401 (1977).
39. Yang, H. J., Soong, W. T., Kuo, P. H., Chang, H. L. & Chen, W. J. Using the CES-D in a two-phase survey for depressive disorders among nonreferred adolescents in Taipei: a stratum-specific likelihood ratio analysis. J Affect Disord 82, 419-430 (2004).
40. Oldfield, R. C. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9, 97-113 (1971).
41. So, E. et al. The Chinese-bilingual SCID-I/P project: stage 1-reliability for mood disorders and schizophrenia. Hong Kong Journal of Psychiatry 13, 7-18 (2003).
42. Smith, S. M. et al. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 31, 1487-1505, doi:10.1016/j. neuroimage.2006.02.024 (2006).