Resting-state functional connectivity in women with PMDD

Petersen, Nicole; Ghahremani, Dara G.; Rapkin, Andrea J.; Berman, Steven M.; Wijker, Noor; Liang, Letty; London, Edythe D.

doi:10.1038/s41398-019-0670-8

Cited by 31 publications

(24 citation statements)

References 36 publications

(47 reference statements)

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“…As OXT increases the FC between the corticostriatal circuitry 3 and facilitates the DC-dlPFC loops for stable social bond formation 2 , the low OXT level in the BD II patients may be the reason for the dysfunctional corticostriatal circuitry, and may further result in poor social cognitive function 35 . Consistent with this observation, impaired ECN has also been found in premenstrual dysphoric disorder 36 and repetitive negative thinking 37 , which are both related to altered reward systems (reinforced reward sensitivity 38 and enhanced regret for no reward 39 , respectively).…”

Section: Discussionsupporting

confidence: 60%

Dysregulation of oxytocin and dopamine in the corticostriatal circuitry in bipolar II disorder

et al. 2020

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The oxytocin (OXT) and dopamine systems synergistically facilitate striatal reactivity. Abnormal striatal activation has repeatedly been observed in patients with bipolar disorder (BD); however, such abnormality remains unclear in BD II. Here we aimed to investigate whether the corticostriatal connectivity was altered and the possible relationships among corticostriatal connectivity, OXT, and dopamine systems in BD II. Twenty-five BD II patients, as defined by the DSM-V, and 29 healthy controls (HC) were enrolled in this study. Plasma OXT was measured and striatal dopamine transporter (DAT) availability was assessed using [ 99m Tc]TRODAT-1 single-photon emission computed tomography (SPECT). Brain network functional connectivity (FC) was measured during the resting-state using functional magnetic resonance imaging, and the dorsal caudate (DC) was selected as the seed region. The results showed that the OXT level was significantly lower in the BD II patients, while the striatal DAT availability was not significantly different between the BD II and HC groups. The BD II patients exhibited significantly lower FC between the DC and the executive control network (dorsolateral prefrontal, anterior cingulate cortex, and posterior parietal cortex) as compared with the HC. Only observed in HC, the DC-posterior parietal cortex FC was negatively correlated with the OXT level and striatal DAT availability. Our findings in the HC support a model in which the OXT and dopamine systems act in tandem to regulate corticostriatal circuitry, while the synergistic interaction was perturbed in BD II. Taken together, these results implied a maladaptive neuroplasticity in BD II.

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Section: Discussionsupporting

confidence: 60%

Dysregulation of oxytocin and dopamine in the corticostriatal circuitry in bipolar II disorder

et al. 2020

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“…ECN, mainly anchored in the bilateral dorsolateral prefrontal lobe, ventral prefrontal lobe, frontal insular cortex, and parietal lobe, has extensive connections with other regions (Wu et al, 2014). ECN plays an important role in the integration of sensory and memory information, the regulation of cognition and behavior, and the working memory process with the prefrontal lobe as its core (Petersen et al, 2019). A combined arterial spin labeling (ASL), perfusion, and rsfMRI study confirms that the brain regions in AD where cerebral blood flow and ALFF decrease predict a disruption in the ECN (Zheng et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Functional MRI-Specific Alterations in Executive Control Network in Mild Cognitive Impairment: An ALE Meta-Analysis

Chen

Xue

et al. 2020

Front. Aging Neurosci.

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Background: Mild cognitive impairment (MCI) is regarded as a transitional stage between normal aging and Alzheimer's disease (AD) dementia. MCI individuals with deficits in executive function are at higher risk for progressing to AD dementia. Currently, there is no consistent result for alterations in the executive control network (ECN) in MCI, which makes early prediction of AD conversion difficult. The aim of the study was to find functional MRI-specific alterations in ECN in MCI patients by expounding on the convergence of brain regions with functional abnormalities in ECN. Methods: We searched PubMed, Embase, and Web of Science to identify neuroimaging studies using methods including the amplitude of low frequency fluctuation/fractional amplitude of low-frequency fluctuation, regional homogeneity, and functional connectivity in MCI patients. Based on the Activation Likelihood Estimation algorithm, the coordinate-based meta-analysis and functional meta-analytic connectivity modeling were conducted. Results: A total of 25 functional imaging studies with MCI patients were included in a quantitative meta-analysis. By summarizing the included articles, we obtained specific brain region changes, mainly including precuneus, cuneus, lingual gyrus, middle frontal gyrus, posterior cingulate cortex, and cerebellum posterior lobe, in the ECN based on these three methods. The specific abnormal brain regions indicated that there were interactions between the ECN and other networks. Conclusions: This study confirms functional imaging specific abnormal markers in ECN and its interaction with other networks in MCI. It provides novel targets and pathways for individualized and precise interventions to delay the progression of MCI to AD.

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“…Our results showed that the altered DFC variability within ECN in SCD and aMCI. ECN, with the prefrontal lobe as the core, acts an important role in the regulation of cognition and behavior, the integration of perception and memory information, and working memory [50]. The MFG and IFG are responsible for executive cognitive function and working memory.…”

Section: Discussionmentioning

confidence: 99%

Disrupted Dynamic Functional Connectivity in Distinguishing Subjective Cognitive Decline and Amnestic Mild Cognitive Impairment Based on the Triple-Network Model

Xue

Yuan

et al. 2021

Preprint

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Aberrant static functional connectivity (FC) within the triple networks involving the default mode network (DMN), the salience network (SN), and the executive control network (ECN) was found in subjective cognitive decline (SCD) and amnestic mild cognitive impairment (aMCI). However, dynamic FC (DFC) analysis within triple networks of SCD and aMCI was absent. We collected resting-state functional magnetic resonance imaging data from 44 SCD, 49 aMCI, and 58 controls (HC). DFC analysis were used to analyze the DFC variability within the triple networks among three groups. Then the correlation analysis was conducted to reveal the relationship between the altered DFC variability within the triple networks and the declined cognitive function. Furthermore, the logistic regression analysis was used to assess the diagnostic accuracy of altered DFC variability within the triple networks in SCD and aMCI. Compared to HC, SCD and aMCI both showed altered DFC variability within the triple networks. The DFC variability in the right middle temporal gyrus and left inferior frontal gyrus (IFG) within ECN were significantly different between SCD and aMCI. Moreover, the altered DFC variability in the left IFG within ECN was obviously associated with the decline in episodic memory and executive function. Lastly, the logistic regression analysis showed multivariable analysis had high sensitivity and specificity in the diagnosis of SCD and aMCI. The altered DFC variability and triple-network model proved to be an important biomarker to diagnosis and identification of preclinical AD spectrum.

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Resting-state functional connectivity in women with PMDD

Cited by 31 publications

References 36 publications

Dysregulation of oxytocin and dopamine in the corticostriatal circuitry in bipolar II disorder

Dysregulation of oxytocin and dopamine in the corticostriatal circuitry in bipolar II disorder

Functional MRI-Specific Alterations in Executive Control Network in Mild Cognitive Impairment: An ALE Meta-Analysis

Disrupted Dynamic Functional Connectivity in Distinguishing Subjective Cognitive Decline and Amnestic Mild Cognitive Impairment Based on the Triple-Network Model

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