Loss of white matter integrity in major depressive disorder: Evidence using tract‐based spatial statistical analysis of diffusion tensor imaging

Korgaonkar, Mayuresh S.; Grieve, Stuart M.; Koslow, Stephen H.; Gabrieli, John D. E.; Gordon, Evian; Williams, Leanne M.

doi:10.1002/hbm.21178

Cited by 191 publications

(207 citation statements)

References 54 publications

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“…Similar to the studies in Table 1, the subsample analyses showing FA differences varied considerably in which regions were identified. Interestingly, a region consistently identified as showing FA differences between MDD patients and controls in our post-hoc analysis was the genu of the corpus callosum-a region identified in the previously published reports (Cole et al, 2012;Korgaonkar et al, 2011). Given with the well-known prefrontal distortion in DTI images, it is possible that this region is especially vulnerable to false positive findings in DTI analyses (Wu et al, 2008).…”

Section: Discussionsupporting

confidence: 50%

“…In an effort to better understand the pathophysiology of MDD and develop more effective treatments, much research has focused on delineating the structure and function of this mood regulation network. Although many studies have focused on the function of the network (Drevets et al, 2008b;Hafeman et al, 2012;Mayberg, 2003a, b;Murray et al, 2011;Phillips, 2006), including functional connectivity between key brain regions (Craddock et al, , 2012Greicius, 2008Greicius, , 2007James et al, 2009;Seminowicz et al, 2004;Sheline et al, 2010), others have focused on the structural connectivity of the network, ie, the white matter (WM) pathways between brain regions (Abe et al, 2010;Blood et al, 2010;Cole et al, 2012;Cullen et al, 2010;Kieseppa et al, 2010;Korgaonkar et al, 2011;Ma et al, 2007;Tha et al, 2013;Wu et al, 2011;Zhu et al, 2011;Zou et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…Numerous DTI studies have looked for WM integrity differences in patients with MDD (Abe et al, 2010;Blood et al, 2010;Cole et al, 2012;Cullen et al, 2010;Kieseppa et al, 2010;Korgaonkar et al, 2011;Ma et al, 2007;Tha et al, 2013;Wu et al, 2011;Zhu et al, 2011;Zou et al, 2008). However, the findings have been highly variable with respect to the location and direction of the difference in FA (Table 1).…”

Section: Introductionmentioning

confidence: 99%

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Reconciling Variable Findings of White Matter Integrity in Major Depressive Disorder

Choi

Holtzheimer

Franco

et al. 2013

Neuropsychopharmacol

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Diffusion tensor imaging (DTI) has been used to evaluate white matter (WM) integrity in major depressive disorder (MDD), with several studies reporting differences between depressed patients and controls. However, these findings are variable and taken from relatively small studies often using suboptimal analytic approaches. The presented DTI study examined WM integrity in large samples of medication-free MDD patients (n ¼ 134) and healthy controls (n ¼ 54) using voxel-based morphometry (VBM) and tract-based spatial statistics (TBSS) approaches, and rigorous statistical thresholds. Compared with health control subjects, MDD patients show no significant differences in fractional anisotropy, radial diffusivity, mean diffusivity, and axonal diffusivity with either the VBM or the TBSS approach. Our findings suggest that disrupted WM integrity does not have a major role in the neurobiology of MDD in this relatively large study using optimal imaging acquisition and analysis; however, this does not eliminate the possibility that certain patient subgroups show WM disruption associated with depression.

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Section: Discussionsupporting

confidence: 50%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reconciling Variable Findings of White Matter Integrity in Major Depressive Disorder

Choi

Holtzheimer

Franco

et al. 2013

Neuropsychopharmacol

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“…Previous DTI studies on MDD have been performed using ROI-based analysis, voxel-based analysis, and/ or tract (tractography)-based analysis (e.g. Taylor et al, 2004;Malykhin et al, 2008;Korgaonkar et al, 2011;Wu et al, 2011). Regarding selection of patients, the majority of these studies were performed on geriatric patients and the patients under antidepressant medication (e.g.…”

Section: Introductionmentioning

confidence: 99%

Impaired integrity of the brain parenchyma in non-geriatric patients with major depressive disorder revealed by diffusion tensor imaging

Tha

Terae

Nakagawa

et al. 2013

Psychiatry Research: Neuroimaging

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“…Multi-modal neuroimaging studies provide considerable support for abnormalities in the structure, function, and functional connectivity of the PFC and amygdala in these disorders [5][6][7][8][9] . In addition, recent studies have also implicated abnormalities in the white matter connections between the PFC and amygdala in anxiety and depression, particularly in the ventral prefrontal white matter [10,11] . An important candidate gene for the development and pathophysiology of anxiety and depression is the gene encoding the serotonin transporter promoter protein (locus,…”

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confidence: 99%

Influence of 5-HTTLPR genotypes on structural and functional connectivity within amygdala-prefrontal cortex circuitry

Wang

2013

Neurosci. Bull.

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Anxiety and depression are highly heritable disorders that lead to significant impairment in affected individuals across gender, ethnicity and race; these disorders are frequently the leading causes of disability and suicide in many countries. One could assume that the same pathophysiological mechanisms underlie anxiety and depression in all affected individuals; however, the observed clinical heterogeneity within these disorders raises doubts and questions as to the validity of this assumption. Moreover, no single gene is thought to underlie anxiety and depression. Instead, it is thought that a convergence of multiple genetic factors contributes to the clinical manifestations of these disorders, adding yet another layer of complexity to understanding the pathophysiology of anxiety and depression.Imaging genetics was developed to examine the effects of genetic variation on neuroimaging measurements that reflect neurobiological functioning and structure in the hope that it can help bridge the mechanistic gap between genes and phenotypes in psychiatric disorders. The study by Long et al. in this issue highlights the importance of imaging genetic studies in anxiety and depression.Deficits within the neural circuitry subserving emotional processing are strongly implicated in anxiety and depression, including key regions such as the prefrontal cortex (PFC) and amygdala [1][2][3][4] . Multi-modal neuroimaging studies provide considerable support for abnormalities in the structure, function, and functional connectivity of the PFC and amygdala in these disorders [5][6][7][8][9] . In addition, recent studies have also implicated abnormalities in the white matter connections between the PFC and amygdala in anxiety and depression, particularly in the ventral prefrontal white matter [10,11] . An important candidate gene for the development and pathophysiology of anxiety and depression is the gene encoding the serotonin transporter promoter protein (locus, SLC6A4; variant, 5-HTTLPR). The serotonin transporter (5-HTT) is central to the regulation of serotonergic activity.As the PFC-amygdala neural circuitry is rich in serotonin, 5-HTT likely plays important modulatory roles within this circuitry. A functional polymorphism in humans in 5-HTTLPR is associated with effects on transcription and the level of serotonin transporter function [12] . The presence of the short allele (S) has been associated with anxiety-related traits [13] and a vulnerability to depression in individuals exposed to stressful life events [14] in Caucasian populations. In addition, 5-HTTLPR affects the development of corticolimbic circuitry and alters the functional connectivity during emotional processing between the amygdala and medial PFC in Caucasian populations [15] . However, these associations are less clear in Asian populations.In contrast to the findings in Caucasian populations, Long et al. [16] found reduced functional coupling between the PFC and amygdala during the resting state in ChineseHan subjects carrying the long allele (L) for 5-HTTLPR...

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Loss of white matter integrity in major depressive disorder: Evidence using tract‐based spatial statistical analysis of diffusion tensor imaging

Cited by 191 publications

References 54 publications

Reconciling Variable Findings of White Matter Integrity in Major Depressive Disorder

Reconciling Variable Findings of White Matter Integrity in Major Depressive Disorder

Impaired integrity of the brain parenchyma in non-geriatric patients with major depressive disorder revealed by diffusion tensor imaging

Influence of 5-HTTLPR genotypes on structural and functional connectivity within amygdala-prefrontal cortex circuitry

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