Neural correlates of rumination in major depressive disorder: A brain network analysis

Jacob, Yael; Morris, Laurel S.; Huang, Kuang-Han; Schneider, Molly; Rutter, Sarah; Verma, Gaurav; Murrough, James W.; Balchandani, Priti

doi:10.1016/j.nicl.2019.102142

Cited by 77 publications

(42 citation statements)

References 72 publications

(97 reference statements)

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“…The precuneus, which is functionally divided into several regions, contributes to multiple networks and it is involved in a variety of cognitive processes including, but not limited to, visuospatial processing, episodic memory, and self-referential processes. In this context, investigating the dynamic configurations connecting the precuneus with other regions cannot be captured from a static perspective of FC, such as in Jacob et al (2020) , which ignores changes that might occur in the temporal domain.…”

Section: Discussionmentioning

confidence: 99%

“…The links in this brain subsystem were mainly long-distance correlations between regions of the DM network and regions outside the DM network, with the right precuneus accounting for the largest number of them. The precuneus, as a core component of the DM network (Utevsky et al, 2014 but see also Margulies et al, 2009) may be important for self-referential processing (Fransson and Marrelec, 2008;Van Buuren et al, 2010) and has been commonly described with aberrant resting-state activity (Liu C.-H. et al, 2017;Li et al, 2018) and connectivity in patients with depression (Zhu et al, 2012;Dutta et al, 2019;Jacob et al, 2020). The study by Jacob et al (2020) found reduced strength connectivity of this region to be linked to higher rumination tendency (i.e., an exaggerated focus on negative thoughts) in patients with depression.…”

Section: The Precuneus Accounts For the Overall Reduced Static Fc Inmentioning

confidence: 99%

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The Dynamics of Functional Brain Networks Associated With Depressive Symptoms in a Nonclinical Sample

Alonso

Deco

Horst

et al. 2020

Front. Neural Circuits

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Brain function depends on the flexible and dynamic coordination of functional subsystems within distributed neural networks operating on multiple scales. Recent progress has been made in the characterization of functional connectivity (FC) at the whole-brain scale from a dynamic, rather than static, perspective, but its validity for cognitive sciences remains under debate. Here, we analyzed brain activity recorded with functional Magnetic Resonance Imaging from 71 healthy participants evaluated for depressive symptoms after a relationship breakup based on the conventional Major Depression Inventory (MDI). We compared both static and dynamic FC patterns between participants reporting high and low depressive symptoms. Between-group differences in static FC were estimated using a standard pipeline for networkbased statistic (NBS). Additionally, FC was analyzed from a dynamic perspective by characterizing the occupancy, lifetime, and transition profiles of recurrent FC patterns. Recurrent FC patterns were defined by clustering the BOLD phase-locking patterns obtained using leading eigenvector dynamics analysis (LEiDA). NBS analysis revealed a brain subsystem exhibiting significantly lower within-subsystem correlation values in more depressed participants (high MDI). This subsystem predominantly comprised connections between regions of the default mode network (i.e., precuneus) and regions outside this network. On the other hand, LEiDA results showed that high MDI participants engaged more in a state connecting regions of the default mode, memory retrieval, and frontoparietal network (p-FDR = 0.012); and less in a state connecting mostly the visual and dorsal attention systems (p-FDR = 0.004). Although both our analyses on static and dynamic FC implicate the role of the precuneus in depressive symptoms, only including the temporal evolution of BOLD FC helped to disentangle over time the distinct configurations in which this region plays a role. This finding further indicates that a holistic understanding of brain function can only be gleaned if the temporal dynamics of FC is included.

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Section: Discussionmentioning

confidence: 99%

Section: The Precuneus Accounts For the Overall Reduced Static Fc Inmentioning

confidence: 99%

The Dynamics of Functional Brain Networks Associated With Depressive Symptoms in a Nonclinical Sample

Alonso

Deco

Horst

et al. 2020

Front. Neural Circuits

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“…Thus, rodent studies using systematic activity mapping after acute and chronic stress have been useful to understand functional consequences of stress-related pathology. For example, functional magnetic resonance imaging (fMRI) studies in CRS mice identified dendritic remodeling of the PFC, HPC, and amygdala with altered functional connectivity across regions of the default mode network 39 , in which activity changes are linked to symptom emergence in MDD 40 , PTSD 41 , Parkinson's disease 42 , and substance abuse disorders 43 . Immediate early gene (IEG) markers, such as c-Fos, similarly yield high spatiotemporal resolution for characterizing functional alterations induced by chronic stress.…”

Section: Introductionmentioning

confidence: 99%

Chronic Stress-induced Behaviors Correlate with Exacerbated Acute Stress-induced Cingulate Cortex and Ventral Hippocampus Activation

et al. 2020

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Altered activity of corticolimbic brain regions is a hallmark of stress-related illnesses, including mood disorders, neurodegenerative diseases, and substance abuse disorders. Acute stress adaptively recruits brain region-specific functions for coping, while sustained activation under chronic stress may overwhelm feedback mechanisms and lead to pathological cellular and behavioral responses. The neural mechanisms underlying dysregulated stress response and how they contribute to behavioral deficits are poorly characterized. Here, we tested whether prior exposure to chronic restraint stress (CRS) or unpredictable chronic mild stress (UCMS) in mice could alter neuronal response to acute stress and whether these changes are associated with chronic stress-induced behavioral deficits. More specifically, we assessed neuronal activation indexed by c-Fos+ cell counts in 24 stress-and mood-related brain regions, and determined if changes in acute stress-induced neuronal activation were linked to chronic stress-induced behavioral impairments. Results indicated that CRS and UCMS led to convergent physiological and anxiety-like deficits, whereas cognition was impaired only in UCMS mice. CRS and UCMS exposure exacerbated neuronal activation in response to an acute stressor in anterior cingulate cortex (ACC) area 24b and ventral hippocampal (vHPC) CA1, CA3, and subiculum. In dysregulated brain regions, levels of neuronal activation were positively correlated with principal components capturing variance across widespread behavioral alterations relevant to stress-related disorders. Our data supports an association between a dysregulated stress response, altered corticolimbic excitation/inhibition balance, and the expression of maladaptive behaviors.

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“…Zhu et al 23 found decreased connectivity of the precuneus to the DMN in patients with MDD compared to HCs. In addition, a recent fMRI study found that reduced strength of the right precuneus was associated with higher maladaptive rumination levels in patients with MDD 64 . Among the few studies directly comparing both BD and MDD patients, Liang et al 65 found that the regional homogeneity value of the precuneus was increased in BD and MDD patients.…”

Section: Discussionmentioning

confidence: 99%

Alteration of Cortical Functional Networks in Default-Mode Network-Related Regions in Mood Disorders with Resting-State Electroencephalography

Kim¹,

Baek²,

Shim³

et al. 2020

Preprint

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Studies comparing bipolar disorder (BD) and major depressive disorder (MDD) are scarce, and the neuropathology of these disorders is poorly understood. This study investigated source-level cortical functional networks using resting-state electroencephalography (EEG) in patients with BD and MDD. EEG was recorded in 35 patients with BD, 39 patients with MDD, and 42 healthy controls (HCs). Graph theory-based source-level weighted functional networks were assessed via strength, clustering coefficient (CC), and path length (PL) in six frequency bands. At the global level, patients with BD and MDD showed higher strength and CC, and lower PL in the high beta band, compared to HCs. At the nodal level, compared to HCs, patients with BD showed higher high beta band nodal CCs in the right precuneus, left isthmus cingulate, bilateral paracentral, and left superior frontal, belonging to the default-mode network (DMN); however, patients with MDD showed higher nodal CC only in the right precuneus compared to HCs. Although both MDD and BD patients had similar global level network changes, they had different nodal level network changes in DMN-related regions. Our findings might suggest more altered network in the DMN-related regions in patients with BD than in those with MDD.

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Neural correlates of rumination in major depressive disorder: A brain network analysis

Cited by 77 publications

References 72 publications

The Dynamics of Functional Brain Networks Associated With Depressive Symptoms in a Nonclinical Sample

The Dynamics of Functional Brain Networks Associated With Depressive Symptoms in a Nonclinical Sample

Chronic Stress-induced Behaviors Correlate with Exacerbated Acute Stress-induced Cingulate Cortex and Ventral Hippocampus Activation

Alteration of Cortical Functional Networks in Default-Mode Network-Related Regions in Mood Disorders with Resting-State Electroencephalography

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