Publications by authors named "Kai Gustav Ringwald"

Article Synopsis
  • Cognitive dysfunction and changes in brain connectivity are prevalent in major depressive disorder (MDD), but their relationship is not well understood.
  • The study analyzed cognitive performance and brain connections in 805 healthy individuals and 679 MDD patients to explore how cognitive factors relate to brain structural networks.
  • Findings revealed a link between cognitive deficits and reduced connectivity in specific brain subnetworks, which was influenced by the severity of depressive symptoms, highlighting how MDD affects cognitive and brain functioning.
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Background: Major depressive disorder (MDD) has been associated with alterations in brain white matter (WM) microstructure. However, diffusion tensor imaging studies in biological relatives have presented contradicting results on WM alterations and their potential as biomarkers for vulnerability or resilience. To shed more light on associations between WM microstructure and resilience to familial risk, analyses including both healthy and depressed relatives of MDD patients are needed.

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Article Synopsis
  • A study examined the differences in white matter microstructure between patients with bipolar disorder (BD), major depressive disorder (MDD), and healthy controls, finding that BD patients had reduced fractional anisotropy (FA) compared to both groups.* -
  • The research involved 136 patients from each group and utilized diffusion tensor imaging to investigate these differences and their relationship to mood states and symptom severity.* -
  • Findings suggested that the reduced FA in BD was consistent regardless of mood state or acute symptom severity, indicating it might be a stable trait effect of the disorder, warranting further exploration as a potential biomarker.*
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Background: Among mental disorders, major depressive disorder (MDD) is highly prevalent and associated with emotional dysfunctions linked to activity alterations in the brain, mainly in prefrontal regions, the insula, the anterior cingulate cortex and the amygdala. However, this evidence is heterogeneous, perhaps because magnetic resonance imaging (MRI) studies on MDD tend to neglect comorbid anxiety (COM-A).

Methods: To address this, here a sample of age- and sex-matched patients, n = 90 and n = 85, underwent functional MRI to assess neurofunctional group differences during a negative emotional face-matching task using a hypothesis-driven region of interest approach (dorsolateral prefrontal cortex, insula, anterior cingulate cortex, amygdala) and an explorative whole-brain approach.

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Background: Childhood maltreatment (CM) represents a potent risk factor for major depressive disorder (MDD), including poorer treatment response. Altered resting-state connectivity in the fronto-limbic system has been reported in maltreated individuals. However, previous results in smaller samples differ largely regarding localization and direction of effects.

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Factorial dimensions and neurobiological underpinnings of formal thought disorders (FTD) have been extensively investigated in schizophrenia spectrum disorders (SSD). However, FTD are also highly prevalent in other disorders. Still, there is a lack of knowledge about transdiagnostic, structural brain correlates of FTD.

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Aberrant brain structural connectivity in major depressive disorder (MDD) has been repeatedly reported, yet many previous studies lack integration of different features of MDD with structural connectivity in multivariate modeling approaches. In n = 595 MDD patients, we used structural equation modeling (SEM) to test the intercorrelations between anhedonia, anxiety, neuroticism, and cognitive control in one comprehensive model. We then separately analyzed diffusion tensor imaging (DTI) connectivity measures in association with those clinical variables, and finally integrated brain connectivity associations, clinical/cognitive variables into a multivariate SEM.

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Background: Two prominent risk factors for major depressive disorder (MDD) are childhood maltreatment (CM) and familial risk for MDD. Despite having these risk factors, there are individuals who maintain mental health, i.e.

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