Connectivity patterns of cognitive control network in first episode medication-naive depression and remitted depression

Jiao, Kaili; Xu, Huazhen; Teng, Changjun; Song, Xiu Zhen; Xiao, Chaoyong; Fox, Peter T.; Zhang, Ning; Chün, Wang; Zhong, Yuan

doi:10.1016/j.bbr.2019.112381

Cited by 24 publications

(12 citation statements)

References 65 publications

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“…Additionally, recent studies using rs-fMRI suggest an association between depression and abnormal functional connectivity in CCN network (Schlösser et al, 2008;Vasic et al, 2009;Sheline et al, 2010;Veer et al, 2010;Alexopoulos et al, 2013;Clasen et al, 2014). Other studies focusing on the CCN network reported attenuated connectivity of that network in remitted MDDs (Stange et al, 2017;Jiao et al, 2020). Finally, a study tried to predict the antidepressant response in MDDs focusing on within-CCN and within-DMN networks and reported low and high resting functional connectivity within-CCN and within-DMN, respectively (Alexopoulos et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

Dynamic functional connectivity links with treatment response of electroconvulsive therapy in major depressive disorder

Dini

Sui

et al. 2021

Preprint

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Background: Electroconvulsive Therapy (ECT) is one of the most effective treatments for major depressive disorder (DEP). There is recently increasing attention to evaluate ECT's effect on resting-state functional magnetic resonance imaging (rs-fMRI). This study aims to compare rs-fMRI of DEP patients with healthy participants, investigate whether dynamic functional network connectivity network (dFNC) estimated from rs-fMRI predicts the ECT outcome, and explore the effect of ECT on brain network states. Method: Resting-state fMRI data were collected from 119 patients with depression or DEP (76 females), and 61 Healthy (HC) participants (34 females) with an age mean of 52.25 (N=180) years old. The pre-ECT and post-ECT Hamilton Depression Rating Scale (HDRS) were 25.59+/-6.14 and 11.48+/-9.07, respectively. Twenty-four independent components from default mode (DMN) and cognitive control network (CCN) were extracted using group-independent component analysis from pre-ECT and post-ECT rs-fMRI. Then, the sliding window approach was used to estimate the pre-and post-ECT dFNC of each participant. Next, k-means clustering was separately applied to pre-ECT dFNC and post-ECT dFNC to assess three distinct states from each participant. We calculated the amount of time each individual spends in each state, called occupancy rate or OCR. Next, we compared OCR values between HC and DEP participants. We also calculated the partial correlation between pre-ECT OCRs and HDRS change while controlling for age, gender, number of treatment, and site. Finally, we evaluated the effectiveness of ECT by comparing pre-and post-ECT OCR of DEP and HC participants. Results: The main findings include: 1) DEP patients had significantly lower OCR values than the HC group in a state, where connectivity between CCN and DMN was relatively higher than other states (corrected p= 0.015), 2) Pre-ECT OCR of state, with more negative connectivity between CCN and DMN components, predicted the HDRS changes (R=0.23 corrected p=0.03). This means that those DEP patients who spend less time in this state showed more HDRS change, and 3) The post-ECT OCR analysis suggested that ECT increased the amount of time DEP patients spend in state 2 (corrected p=0.03). Finally, we found ECT increases the total traveled distance in DEP. Conclusion: Our finding suggests that dFNC features, estimated from CCN and DMN, show promise as a predictive biomarker of the ECT outcome of DEP patients. Also, this study identified a possible underlying mechanism associated with the ECT effect in DEP patients.

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Section: Discussionmentioning

confidence: 99%

Dynamic functional connectivity links with treatment response of electroconvulsive therapy in major depressive disorder

Dini

Sui

et al. 2021

Preprint

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“…Independent component analysis (ICA) is a useful data-driven approach that can be applied to brain rs-fMRI data to extract different functional networks and further examine large-scale inter- and intranetwork functional connectivity ( Calhoun et al, 2001a , b ; van de Ven et al, 2004 ; Wang et al, 2020 ; Cai et al, 2021 ). By leveraging this approach, investigators have shown functional dysconnectivity of multiple brain networks in MDD ( Sacchet et al, 2016 ; Wu et al, 2017 ; Albert et al, 2019 ; Chen et al, 2019 ; Liu et al, 2019 , 2020 , 2021 ; Yu et al, 2019 ; Jiao et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

The Relationship Between Vitamin D, Clinical Manifestations, and Functional Network Connectivity in Female Patients With Major Depressive Disorder

Zhu

Zhao

Cui

et al. 2022

Front. Aging Neurosci.

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Evidence suggests the pivotal role of vitamin D in the pathophysiology of major depressive disorder (MDD) via its effects on the brain. Gender differences exist in both depression and vitamin D level. Our objective was to investigate the association between gender, vitamin D, clinical manifestations, and functional network connectivity in a large sample of MDD patients and healthy controls. Resting-state functional MRI data were collected from 122 patients and 119 controls, with independent component analysis adopted to examine large-scale inter- and intranetwork functional connectivity. Serum concentration of vitamin D (SCVD) and clinical manifestations were also assessed. MDD patients exhibited lower SCVD than controls in females but not males. Moreover, we identified a female-specific association between lower SCVD and poorer cognitive performance. Concurrently, MDD-related functional network connectivity changes were correlated with SCVD in females as well as depression and anxiety symptoms in female patients. Remarkably, MDD- and SCVD-related functional network connectivity alterations mediated the associations between SCVD and cognition in females. Aside from providing evidence for a female-specific neurobiological mechanism whereby low vitamin D might contribute to MDD and its associated clinical characteristics, our findings inform a novel conceptualization that adjuvant vitamin D supplementation therapy may yield clinical benefits in improving treatment outcomes in female patients with MDD.

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“…Task-positive network disruptions are also frequent in depression. Within-network FC of executive control network (ECN) may be excessive [ 8 , 21 – 23 ] or deficient [ 15 , 24 ] in depression. These findings may be partly explained by increased global ECN intraconnectivity and less FC between its prefrontal and parietal nodes [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

“…Within-network FC of executive control network (ECN) may be excessive [ 8 , 21 – 23 ] or deficient [ 15 , 24 ] in depression. These findings may be partly explained by increased global ECN intraconnectivity and less FC between its prefrontal and parietal nodes [ 21 ]. Network's external connectivity is diminished in depression [ 25 ] to cerebellar and primary visual network [ 26 ] and to various brain regions [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

“…Anterior salience network (ASN) comprising key cortical emotional areas may be over- [ 21 ], under- [ 2 ], or normally [ 1 ] connected in depression. Increased FC of ASN to left precentral and left angular gyri [ 28 ] and to lateral prefrontal areas [ 22 ] and effective connectivity of both to and from precuneus [ 3 ] is related to depression.…”

Section: Introductionmentioning

confidence: 99%

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Brain Networks Connectivity in Mild to Moderate Depression: Resting State fMRI Study with Implications to Nonpharmacological Treatment

et al. 2021

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Network mechanisms of depression development and especially of improvement from nonpharmacological treatment remain understudied. The current study is aimed at examining brain networks functional connectivity in depressed patients and its dynamics in nonpharmacological treatment. Resting state fMRI data of 21 healthy adults and 51 patients with mild or moderate depression were analyzed with spatial independent component analysis; then, correlations between time series of the components were calculated and compared between-group (study 1). Baseline and repeated-measure data of 14 treated (psychotherapy or fMRI neurofeedback) and 15 untreated depressed participants were similarly analyzed and correlated with changes in depression scores (study 2). Aside from diverse findings, studies 1 and 2 both revealed changes in within-default mode network (DMN) and DMN to executive control network (ECN) connections. Connectivity in one pair, initially lower in depression, decreased in no treatment group and was inversely correlated with Montgomery-Asberg depression score change in treatment group. Weak baseline connectivity in this pair also predicted improvement on Montgomery-Asberg scale in both treatment and no treatment groups. Coupling of another pair, initially stronger in depression, increased in therapy though was unrelated to improvement. The results demonstrate possible role of within-DMN and DMN-ECN functional connectivity in depression treatment and suggest that neural mechanisms of nonpharmacological treatment action may be unrelated to normalization of initially disrupted connectivity.

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Connectivity patterns of cognitive control network in first episode medication-naive depression and remitted depression

Cited by 24 publications

References 65 publications

Dynamic functional connectivity links with treatment response of electroconvulsive therapy in major depressive disorder

Dynamic functional connectivity links with treatment response of electroconvulsive therapy in major depressive disorder

The Relationship Between Vitamin D, Clinical Manifestations, and Functional Network Connectivity in Female Patients With Major Depressive Disorder

Brain Networks Connectivity in Mild to Moderate Depression: Resting State fMRI Study with Implications to Nonpharmacological Treatment

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