Limbic Intrinsic Connectivity in Depressed and High-Risk Youth

Singh, Manpreet K.; Leslie, Sara M.; Packer, Mary Melissa; Weisman, Elizabeth; Gotlib, Ian H.

doi:10.1016/j.jaac.2018.06.017

Cited by 45 publications

(24 citation statements)

References 70 publications

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“…FHR adolescents had stronger connections between the ACC and inferior parietal lobule and weaker connections between the amygdala, orbitofrontal PFC, and precuneus ( Hirshfeld-Becker et al, 2019 , Singh et al, 2018 ). Furthermore, they also demonstrated hyperconnectivity at rest between the posterior cingulate cortex and subcortical structures such as the amygdala and hippocampus ( Singh et al, 2018 , Singh et al, 2018 ). Hyperconnectivity between the amygdala and dorsolateral PFC has been detected in FHR adolescents ( Fischer et al, 2018 ).…”

Section: Resultsmentioning

confidence: 99%

Neural markers of familial risk for depression – A systematic review

Nazarova

Schmidt

Cookey

et al. 2022

Developmental Cognitive Neuroscience

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Section: Resultsmentioning

confidence: 99%

Neural markers of familial risk for depression – A systematic review

Nazarova

Schmidt

Cookey

et al. 2022

Developmental Cognitive Neuroscience

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“…The CEN has been reported to show reduced connectivity in MDD patients in a meta-analysis of resting state studies (Kaiser et al, 2015). Reduced resting-state amygdala FC with the right frontal cortex has been shown to be shared by adolescents with depression and at high risk for depression (Singh et al, 2018b). Together, this suggests a reduced task-independent integration of amygdala and executive control structures as risk mechanism for depression and should be investigated in longitudinal resting state studies.…”

Section: Riskmentioning

confidence: 99%

Amygdala functional connectivity in major depression – disentangling markers of pathology, risk and resilience

et al. 2019

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BackgroundLimbic-cortical imbalance is an established model for the neurobiology of major depressive disorder (MDD), but imaging genetics studies have been contradicting regarding potential risk and resilience mechanisms. Here, we re-assessed previously reported limbic-cortical alterations between MDD relatives and controls in combination with a newly acquired sample of MDD patients and controls, to disentangle pathology, risk, and resilience.MethodsWe analyzed functional magnetic resonance imaging data and negative affectivity (NA) of MDD patients (n = 48), unaffected first-degree relatives of MDD patients (n = 49) and controls (n = 109) who performed a faces matching task. Brain response and task-dependent amygdala functional connectivity (FC) were compared between groups and assessed for associations with NA.ResultsGroups did not differ in task-related brain activation but activation in the superior frontal gyrus (SFG) was inversely correlated with NA in patients and controls. Pathology was associated with task-independent decreases of amygdala FC with regions of the default mode network (DMN) and decreased amygdala FC with the medial frontal gyrus during faces matching, potentially reflecting a task-independent DMN predominance and a limbic-cortical disintegration during faces processing in MDD. Risk was associated with task-independent decreases of amygdala-FC with fronto-parietal regions and reduced faces-associated amygdala-fusiform gyrus FC. Resilience corresponded to task-independent increases in amygdala FC with the perigenual anterior cingulate cortex (pgACC) and increased FC between amygdala, pgACC, and SFG during faces matching.ConclusionOur results encourage a refinement of the limbic-cortical imbalance model of depression. The validity of proposed risk and resilience markers needs to be tested in prospective studies. Further limitations are discussed.

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“…Both regions are major players within the brain's salience network and the reward circuit (Cho et al, 2013). During concurrent MDEs, previous research found reduced insula connectivity with subcortical limbic structures, such as the NAc (Park et al, 2019; Singh et al, 2018). Similarly, we observed that the recurrent MDE group had a weaker connectivitivity between bilateral insular cortices and the NAc compared with the no‐MDE group.…”

Section: Discussionmentioning

confidence: 94%

Neurobiological predictors for clinical trajectories in fully remitted depressed patients

Blank

Meyer

Rabl

et al. 2020

Depression and Anxiety

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Background Serious long term health and economic detriment accompany residual depressive symptoms even in fully remitted depressed patients (rMDD). Neurobiological predictors for rMDD patients’ illness trajectory are absent. Methods rMDD patients (n = 39, female = 26) underwent magnetic resonance imaging. Baseline analyses of brain structure via voxel‐based morphometry and brain function via functional connectivity (FC) at rest were correlated with changes in the Hamilton Depression Rating Scale between baseline and follow‐up, and incidence of a recurrent major depressive episode (MDE) within a 2‐year period. Results Gray matter increases in default mode (DN) regions in the posterior cingulate cortex (PCC) and increased resting‐state FC within the DN both predicted change of depressive symptoms. Patients with recurrent MDE had larger bilateral nucleus accumbens and left insula volumes. Post hoc exploratory analysis of nucleus accumbens and insula conceptualized as part of the brain's reward circuit demonstrated reduced connectivity in patients with recurrent MDE. Conclusions Higher DN connectivity and PCC volume coinciding with a more favorable course of symptoms suggest neural mechanisms of self‐recovery beyond the phase of active medical treatment. Alterations in the brain's reward circuit might be a starting point for designing maintenance treatments that prevent recurrent MDEs in rMDD patients.

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Limbic Intrinsic Connectivity in Depressed and High-Risk Youth

Cited by 45 publications

References 70 publications

Neural markers of familial risk for depression – A systematic review

Neural markers of familial risk for depression – A systematic review

Amygdala functional connectivity in major depression – disentangling markers of pathology, risk and resilience

Neurobiological predictors for clinical trajectories in fully remitted depressed patients

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