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Limbic Scars: Long-Term Consequences of Childhood Maltreatment Revealed by Functional and Structural Magnetic Resonance Imaging
TLDR
The present results might suggest that limbic hyperresponsiveness and reduced hippocampal volumes could be mediators between the experiences of adversities during childhood and the development of emotional disorders. Expand
Brain morphometric biomarkers distinguishing unipolar and bipolar depression. A voxel-based morphometry-pattern classification approach.
TLDR
Individuals with UD and those with BD are differentiated by structural abnormalities in neural regions supporting emotion processing, and neuroimaging and multivariate pattern classification techniques are promising tools to differentiate UD from BD. Expand
Alexithymia is related to differences in gray matter volume: A voxel-based morphometry study
TLDR
The findings suggest that high compared to low alexithymics show less gray matter volume in several emotion-relevant brain areas, which might contribute to the functional alterations found in previous imaging studies in aLexithymia. Expand
Childhood maltreatment is associated with an automatic negative emotion processing bias in the amygdala
TLDR
Childhood maltreatment is apparently associated with detectable changes in amygdala function during early stages of emotion processing which resemble findings described in major depression. Expand
Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data.
TLDR
A relatively small degree of structural impairment in the subgenual cingulate cortex before therapy seems to be associated with successful treatment with ECT, and neuroimaging techniques could prove to be promising tools for predicting the individual therapeutic effectiveness of ECT. Expand
Distinguishing medication‐free subjects with unipolar disorder from subjects with bipolar disorder: state matters
TLDR
This data indicates that pattern recognition techniques of functional magnetic resonance imaging data for individual classification may be valuable for distinguishing between major depressive disorder (MDD) and bipolar disorder (BD), but almost all studies have investigated only depressed subjects. Expand
Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group
TLDR
The largest study to date of cortical gray matter thickness and surface area measures from brain magnetic resonance imaging scans of bipolar disorder patients is performed, revealing previously undetected associations and providing an extensive analysis of potential confounding variables in neuroimaging studies of BD. Expand
Mood-congruent amygdala responses to subliminally presented facial expressions in major depression: associations with anhedonia.
TLDR
The results indicate that reduced amygdala responsiveness to positive stimuli may contribute to anhedonic symptoms due to reduced/inappropriate salience attribution to positive information at very early processing levels. Expand
Obesity and major depression: Body-mass index (BMI) is associated with a severe course of disease and specific neurostructural alterations
TLDR
In MDD-patients, BMI was associated with a more chronic course of disease and both BMI and chronicity of disorder were related to similar morphometric anomalies in medial prefrontal areas, which provides evidence for specific morphological alterations underlying this prevalent comorbidity. Expand
Discriminating unipolar and bipolar depression by means of fMRI and pattern classification: a pilot study
TLDR
The neurobiological underpinnings of emotion processing were investigated in a sample of unipolar and bipolar depressed patients matched for age, gender, and depression severity by means of fMRI and pattern-classification techniques could be a promising tool to classify acutely depressed subjects as unipolar or bipolar. Expand
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