Subcortical volumes differentiate Major Depressive Disorder, Bipolar Disorder, and remitted Major Depressive Disorder

Sacchet, Matthew D.; Livermore, Emily E.; Iglesias, Juan Eugenio; Glover, Gary H.; Gotlib, Ian H.

doi:10.1016/j.jpsychires.2015.06.002

Cited by 86 publications

(70 citation statements)

References 60 publications

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“…We should note here that our results do not replicate previously reported differences in caudate volumes between [12][13][14][15] and it is possible that the observed group differences were qualified by an interaction with age. Other studies examined a different age group than we did, 13 and many had smaller samples (e.g., patient groups of fewer than 30 individuals).…”

Section: J Psychiatry Neurosci 2017;42(3)contrasting

confidence: 99%

“…9,10 Finally, researchers have reported that the putamen is activated most strongly during anticipation of reward, whereas the caudate is activated most strongly during the receipt of reward. 8,10,11 A growing body of research indicates that adults with MDD have smaller volumes of the caudate [12][13][14][15] and putamen 13,14,16,17 than healthy controls. Postmortem studies have also reported smaller putamen volumes in depressed than in nondepressed adults.…”

Section: Introductionmentioning

confidence: 99%

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Accelerated aging of the putamen in patients with major depressive disorder

Sacchet

Camacho

Livermore

et al. 2017

JPN

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IntroductionMajor depressive disorder (MDD) is primarily characterized by depressed mood and a blunted experience of pleasure (i.e., anhedonia). 1 The disorder is prevalent and chronic and represents a substantial personal, social and economic burden. [2][3][4] Neuroscience promises to elucidate mechanisms under lying depressive pathophysiology, leading to more effective approaches to the prevention and treatment of this debilitating disorder.Considerable evidence indicates that reward processing is dysfunctional in individuals with MDD. 5,6 The basal ganglia (BG) are a set of subcortical structures, including the striatum (caudate and putamen), nucleus accumbens and pallidum, that are critically involved in these reward processing steps. 7Previously research has indicated that depressed individuals have decreased activation in the striatum, 5,6 and some investigators have hypothesized that this abnormal activity affects decision-making. 5 Research in both animals and humans suggests that the dorsal striatum is involved in action selection and initiation and in encoding and integrating sensorimotor, cognitive and motivational/emotional information.8 Current evidence is mixed regarding specific roles of the putamen and caudate in reward processing. The results of several studies using fMRI suggest that whereas the putamen specifi cally encodes reward-related feedback, the caudate encodes both reward and punishment feedback.9,10 Finally, researchers have reported that the putamen is activated most strongly during anticipation of reward, whereas the caudate is activated most strongly during the receipt of reward. 8,10,11 A growing body of research indicates that adults with MDD have smaller volumes of the caudate 12-15 and putamen 13,14,16,17 than healthy controls. Postmortem studies have also reported smaller putamen volumes in depressed than in nondepressed adults. 18 It is important to note that these studies typically include adult samples with a mean age older than 40 years. Depression-associated differences in BG volumes are less consistent in samples of both younger adults 19,20 and adolescents. 21 It appears, therefore, that this discrepancy is associated with age differences in the study Background: Growing evidence indicates that major depressive disorder (MDD) is characterized by accelerated biological aging, including greater age-related changes in physiological functioning. The disorder is also associated with abnormal neural reward circuitry, particularly in the basal ganglia (BG). Here we assessed age-related changes in BG volume in both patients with MDD and healthy control participants. Methods: We obtained whole-brain T 1 -weighted images from patients with MDD and healthy controls. We estimated grey matter volumes of the BG, including the nucleus accumbens, caudate, pallidum and putamen. Volumes were assessed using multivariate analysis of covariance (MANCOVA) with age as a covariate, followed by appropriate post hoc tests. Results: We included 232 individuals (116 patients with MDD) in our analy...

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Section: J Psychiatry Neurosci 2017;42(3)contrasting

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Accelerated aging of the putamen in patients with major depressive disorder

Sacchet

Camacho

Livermore

et al. 2017

JPN

Self Cite

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“…report a lower classification accuracy of 59.5% (20). Similarly in our recent work we could demonstrate that patients with schizophrenia can be separated from depressed patients with 76% accuracy based on structural MRI data (18).…”

Section: Future Challenges For Neuroimaging-based Classification Of Dsupporting

confidence: 75%

“…In this context, a recent metaanalysis showed that patients with schizophrenia can be accurately differentiated from healthy volunteers in 80% of the cases using only neuroimaging-based diagnostic models (17). Moreover, these methods may facilitate the development of neuroimaging tools to distinguish among different psychiatric disorders (18)(19)(20)(21) or to predict clinical outcomes (22)(23)(24). Indeed, multiple proof-of-concept studies have successfully used multivariate statistical methods to guide the diagnosis of depression based on structural MRI (sMRI) data (19; 21; 25-27), resting-state functional MRI (rsfMRI) data (26; 28-34), and task-based functional MRI (fMRI) data (35)(36)(37)(38)(39).…”

Section: Introductionmentioning

confidence: 99%

Detecting Neuroimaging Biomarkers for Depression: A Meta-analysis of Multivariate Pattern Recognition Studies

Kambeitz

Cabral

Sacchet

et al. 2017

Biological Psychiatry

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212

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“…Prefrontal cortex and limbic areas are fundamental to emotion processing and mood regulation 3 , and these areas have also been consistently implicated in imaging studies of MDD [4][5][6] . As the use of automated methods such as voxel-based morphometry 7,8 and Freesurfer 9 have increased, this has expanded the search across the whole brain. In general, structural abnormalities have been reported across diverse brain networks in MDD.…”

mentioning

confidence: 99%

Subcortical volume and white matter integrity abnormalities in major depressive disorder: findings from UK Biobank imaging data

Shen

Reus

Adams

et al. 2016

Preprint

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Previous reports of altered grey and white matter structure in Major Depressive Disorder (MDD) have been inconsistent. Recent meta-analyses have, however, reported reduced hippocampal grey matter volume in MDD and reduced white matter integrity in several brain regions. The use of different diagnostic criteria, scanners and imaging sequences may, however, obscure further anatomical differences. In this study, we tested for differences in subcortical grey matter volume (n = 1157) and white matter integrity (n = 1089) between depressed individuals and controls in the subset of 8590 UK Biobank Imaging study participants who had undergone depression assessments. Whilst we found no significant differences in subcortical volumes, significant reductions were found in depressed individuals versus controls in global white matter integrity, as measured by fractional anisotropy ( Major Depressive Disorder (MDD) is a common psychiatric illness, affecting between 5 and 30% of the population which accounts for around 10% of all days lived with disability 1

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Subcortical volumes differentiate Major Depressive Disorder, Bipolar Disorder, and remitted Major Depressive Disorder

Cited by 86 publications

References 60 publications

Accelerated aging of the putamen in patients with major depressive disorder

Accelerated aging of the putamen in patients with major depressive disorder

Detecting Neuroimaging Biomarkers for Depression: A Meta-analysis of Multivariate Pattern Recognition Studies

Subcortical volume and white matter integrity abnormalities in major depressive disorder: findings from UK Biobank imaging data

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