Cognitive Vulnerability to Major Depression

Wang, Xiang; Öngür, Döst; Auerbach, Randy P.; Yao, Shuqiao

doi:10.1097/hrp.0000000000000081

Cited by 72 publications

(25 citation statements)

References 148 publications

(196 reference statements)

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“…There also were no group differences in SEN connectivity in the present study, suggesting that the neural mechanisms of salience detection are intact in rMDD. Overall, it may be that connectivity between the SEN and other intrinsic connectivity networks such as the DMN and CCN are more important in contributing to effective regulatory control (e.g., Manoliu et al, 2013; Jacobs et al, 2014; Wang et al, 2016). Furthermore, most prior studies used single-seed approaches to connectivity, rather than the network-level connectivity values employed here.…”

Section: Discussionmentioning

confidence: 99%

Attenuated intrinsic connectivity within cognitive control network among individuals with remitted depression: Temporal stability and association with negative cognitive styles

Stange

Bessette

Jenkins

et al. 2017

Human Brain Mapping

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Many individuals with major depressive disorder (MDD) experience cognitive dysfunction including impaired cognitive control and negative cognitive styles. Functional connectivity MRI studies of individuals with current MDD have documented altered resting-state connectivity within the default-mode network and across networks. However, no studies to date have evaluated the extent to which impaired connectivity within the cognitive control network (CCN) may be present in remitted MDD (rMDD), nor have studies examined the temporal stability of such attenuation over time. This represents a major gap in understanding stable, trait-like depression risk phenotypes. In the present study, resting-state functional connectivity data were collected from 52 unmedicated young adults with rMDD and 47 demographically-matched healthy controls, using three bilateral seeds in the CCN (dorsolateral prefrontal cortex, inferior parietal lobule, and dorsal anterior cingulate cortex). Mean connectivity within the entire CCN was attenuated among individuals with rMDD, was stable and reliable over time, and was most pronounced from the right dorsolateral prefrontal cortex and right inferior parietal lobule to the three bilateral CCN seeds. Attenuated connectivity in rMDD appeared to be specific to the CCN as opposed to representing attenuated within-network coherence in other networks (e.g., default-mode, salience). In addition, attenuated connectivity within the CCN mediated relationships between rMDD status and cognitive risk factors for depression, including ruminative brooding, pessimistic attributional style, and negative automatic thoughts. Given that these cognitive markers are known predictors of relapse, these results suggest that attenuated connectivity within the CCN could represent a biomarker for trait phenotypes of depression risk.

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Section: Discussionmentioning

confidence: 99%

Attenuated intrinsic connectivity within cognitive control network among individuals with remitted depression: Temporal stability and association with negative cognitive styles

Stange

Bessette

Jenkins

et al. 2017

Human Brain Mapping

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“…Nonetheless, we extend previous findings by documenting a specific relationship of depressed mood symptoms with the inferior temporal lobes. The inferior temporal lobes have been identified as a component of multiple intrinsic networks, including the central executive network and default mode network, that have been implicated in neuroimaging studies of depression (Kaiser et al, 2015; Wang et al, 2016a; Wang et al, 2016b). The fronto-parietal central executive network, which is involved in external information processing and higher-level cognitive functioning, is thought to contribute to a cognitive vulnerability to depression (Wang et al, 2016b; Zheng et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

“…The inferior temporal lobes have been identified as a component of multiple intrinsic networks, including the central executive network and default mode network, that have been implicated in neuroimaging studies of depression (Kaiser et al, 2015; Wang et al, 2016a; Wang et al, 2016b). The fronto-parietal central executive network, which is involved in external information processing and higher-level cognitive functioning, is thought to contribute to a cognitive vulnerability to depression (Wang et al, 2016b; Zheng et al, 2015). There is evidence that connectivity of the central executive network with the default mode network is decreased in depression and in individuals at high familial risk for depression (Posner et al, 2015; Zheng et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

Vertex-wise examination of depressive symptom dimensions and brain volumes in older adults

McLaren

Szymkowicz

O’Shea

et al. 2017

Psychiatry Research: Neuroimaging

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Differences in brain volumes have commonly been reported in older adults with both subthreshold and major depression. However, few studies have examined the association between specific symptom dimensions of depression and brain volumes. This study used vertex-wise analyses to examine the association between specific symptom dimensions of depression and brain volumes in older adults with subthreshold levels of depressive symptoms. Forty-three community-dwelling adults between the ages of 55 and 81 years underwent a structural Magnetic Resonance Imaging scan and completed the Center for Epidemiologic Studies Depression Scale (CES-D). Vertex-wise analyses were conducted using Freesurfer Imaging Suite to examine the relationship between CES-D subscale scores and gray matter volumes while controlling for sex, age, and education. We found distinct associations between depressed mood, somatic symptoms, and lack of positive affect subscales with regional volumes, including primarily positive relationships in temporal regions and a negative association with the lingual gyrus. The relationship between higher depressed mood subscale scores and larger volumes in the left inferior temporal lobe withstood Monte-Carlo correction for multiple comparisons. Results from this preliminary study highlight the importance of examining depression on a symptom dimension level and identify brain regions that may be important in larger studies of depression.

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“…For instance, in depression unusual connectivity has been reported between networks, including abnormal hyperconnectivity between the SN and DMN, and between the DMN and CEN (Manoliu et al, 2013 ; Liston et al, 2014 ; Kaiser et al, 2015 ). In depressed individuals a dominance of DMN over CEN was found which correlated with maladaptive rumination (Hamilton et al, 2011 ; Wang et al, 2016 ). Moreover, the aberrant switching between the DMN and CEN in depression has been suggested as a mechanism underlying the preoccupation with self-referential processes related to DMN hyperactivity, and deficits in cognitive functioning, associated with CEN hypoconnectivity (Menon, 2011 ; Manoliu et al, 2013 ; Kaiser et al, 2015 ; Anderson et al, 2016 ; Wang et al, 2016 ).…”

Section: Various Stimulation Targets For a Specific Disordermentioning

confidence: 99%

Changing Brain Networks Through Non-invasive Neuromodulation

Ridder

Hart

et al. 2018

Front. Hum. Neurosci.

101

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Background/Objective: Non-invasive neuromodulation techniques, such as repetitive Transcranial Magnetic Stimulation (rTMS) and transcranial Direct Current Stimulation (tDCS), have increasingly been investigated for their potential as treatments for neurological and psychiatric disorders. Despite widespread dissemination of these techniques, the underlying therapeutic mechanisms and the ideal stimulation site for a given disorder remain unknown. Increasing evidence support the possibility of non-invasive neuromodulation affecting a brain network rather than just the local stimulation target. In this article, we present evidence in a clinical setting to support the idea that non-invasive neuromodulation changes brain networks.Method: This article addresses the idea that non-invasive neuromodulation modulates brain networks, rather than just the local stimulation target, using neuromodulation studies in tinnitus and major depression as examples. We present studies that support this hypothesis from different perspectives.Main Results/Conclusion: Studies stimulating the same brain region, such as the dorsolateral prefrontal cortex (DLPFC), have shown to be effective for several disorders and studies using different stimulation sites for the same disorder have shown similar results. These findings, as well as results from studies investigating brain network connectivity on both macro and micro levels, suggest that non-invasive neuromodulation affects a brain network rather than just the local stimulation site targeted. We propose that non-invasive neuromodulation should be approached from a network perspective and emphasize the therapeutic potential of this approach through the modulation of targeted brain networks.

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Cognitive Vulnerability to Major Depression

Cited by 72 publications

References 148 publications

Attenuated intrinsic connectivity within cognitive control network among individuals with remitted depression: Temporal stability and association with negative cognitive styles

Attenuated intrinsic connectivity within cognitive control network among individuals with remitted depression: Temporal stability and association with negative cognitive styles

Vertex-wise examination of depressive symptom dimensions and brain volumes in older adults

Changing Brain Networks Through Non-invasive Neuromodulation

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