Fronto-cingulate effective connectivity in major depression: A study with fMRI and dynamic causal modeling

Schlößer, R.; Wagner, Gerd; Koch, Kathrin; Dahnke, Robert; Reichenbach, Jürgen R.; Sauer, Heinrich

doi:10.1016/j.neuroimage.2008.08.002

Cited by 143 publications

(110 citation statements)

References 70 publications

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“…Sheline et al (2010) reported hyperconnectivity with bilateral dorsal medial prefrontal cortex across the ECN, the DMN, and the DAN and proposed that these patterns of hyperconnectivity may explain impaired concentration (ECN), increased rumination, selffocus, and vigilance (DMN), and emotional, visceral, and autonomic dysregulation (DAN) in MDD. These findings converge with other reports of aberrant affective network activation at rest and during emotional tasks in MDD (Johansen-Berg et al, 2008;Mayberg et al, 1999;Smoski et al, 2009), DMN hyperactivation during emotional tasks (Sheline et al, 2009), DMN hyperconnectivity at rest in MDD (Lemogne et al, 2009), and increased task-related connectivity (Schlosser et al, 2008;Vasic et al, 2009) and decreased task-related activation (Davidson et al, 2002;Panksepp, 2010) in the ECN in MDD.…”

Section: Introductionsupporting

confidence: 90%

Resting-State Connectivity Predictors of Response to Psychotherapy in Major Depressive Disorder

Crowther

Smoski

Minkel

et al. 2015

Neuropsychopharmacol

113

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Despite the heterogeneous symptom presentation and complex etiology of major depressive disorder (MDD), functional neuroimaging studies have shown with remarkable consistency that dysfunction in mesocorticolimbic brain systems are central to the disorder. Relatively less research has focused on the identification of biological markers of response to antidepressant treatment that would serve to improve the personalized delivery of empirically supported antidepressant interventions. In the present study, we investigated whether resting-state functional brain connectivity (rs-fcMRI) predicted response to Behavioral Activation Treatment for Depression, an empirically validated psychotherapy modality designed to increase engagement with rewarding stimuli and reduce avoidance behaviors. Twenty-three unmedicated outpatients with MDD and 20 matched nondepressed controls completed rs-fcMRI scans after which the MDD group received an average of 12 sessions of psychotherapy. The mean change in Beck Depression Inventory-II scores after psychotherapy was 12.04 points, a clinically meaningful response. Resting-state neuroimaging data were analyzed with a seed-based approach to investigate functional connectivity with four canonical resting-state networks: the default mode network, the dorsal attention network, the executive control network, and the salience network. At baseline, the MDD group was characterized by relative hyperconnectivity of multiple regions with precuneus, anterior insula, dorsal anterior cingulate cortex (dACC), and left dorsolateral prefrontal cortex seeds and by relative hypoconnectivity with intraparietal sulcus, anterior insula, and dACC seeds. Additionally, connectivity of the precuneus with the left middle temporal gyrus and connectivity of the dACC with the parahippocampal gyrus predicted the magnitude of pretreatment MDD symptoms. Hierarchical linear modeling revealed that response to psychotherapy in the MDD group was predicted by pretreatment connectivity of the right insula with the right middle temporal gyrus and the left intraparietal sulcus with the orbital frontal cortex. These results add to the nascent body of literature investigating pretreatment rs-fcMRI predictors of antidepressant treatment response and is the first study to examine rs-fcMRI predictors of response to psychotherapy.

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Section: Introductionsupporting

confidence: 90%

Resting-State Connectivity Predictors of Response to Psychotherapy in Major Depressive Disorder

Crowther

Smoski

Minkel

et al. 2015

Neuropsychopharmacol

113

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“…Another approach would have been to extract the MAP parameter values from each subject individually and proceed with a classic frequentist test: t-test or ANOVA, within or between groups (Schlosser et al, 2008). The results of such an approach are actually very similar to those obtained with a Bayesian approach (see Supplementary Material).…”

Section: Groupmentioning

confidence: 78%

“…To date, few fMRI studies have used DCM to assess effective connectivity during cognitive or emotional task in MDD patients (Schlosser et al, 2008;Almeida et al, 2009). Overall studies assessing connectivity (either effective or not) mainly focused on fronto-cingulate (Anand et al, 2005;Schlosser et al, 2008;Vasic et al, 2009) or fronto-amygdala connectivity (Irwin et al, 2004;Johnstone et al, 2007;Almeida et al, 2009), and pointed to a failure to down-regulate rostral anterior cingulate cortex (ACC) and amygdala responses. Several studies showed deficient downregulation within the default-mode network, including the ventromedial prefrontal and the (subgenual) anterior cingulated cortex (Greicius et al, 2007;Sheline et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Depression alters “top-down” visual attention: A dynamic causal modeling comparison between depressed and healthy subjects

et al. 2011

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Using functional magnetic resonance imaging (fMRI), we recently demonstrated that nonmedicated patients with a first episode of unipolar major depression (MDD) compared to matched controls exhibited an abnormal neural filtering of irrelevant visual information (Desseilles et al., 2009). During scanning, subjects performed a visual attention task imposing two different levels of attentional load at fixation (low or high), while task-irrelevant colored stimuli were presented in the periphery. In the present study, we focused on the visuo-attentional system and used "Dynamic Causal Modeling" (DCM) on the same dataset to assess how attention influences a network of three dynamicallyinterconnected brain regions (visual areas V1 and V4, and intraparietal sulcus (P), differentially in MDD patients and healthy controls. Bayesian model selection (BMS) and model space partitioning (MSP) were used to determine the best model in each population. The best model for the controls revealed that the increase of parietal activity by high attention load was selectively associated with a negative modulation of P on V4, consistent with high attention reducing the processing of irrelevant colored peripheral stimuli. The best model accounting for the data from the MDD patients showed that both low and high attention levels exerted modulatory effects on P. The present results document abnormal effective connectivity across visuoattentional networks in MDD, which likely contributes to deficient attentional filtering of information.

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“…Various studies showed increased functional connectivity in clinical populations associated with performance deficits in cognitive tasks (Schlösser et al, 2003(Schlösser et al, , 2008Meyer-Lindenberg et al, 2005;Shaw et al, 2009). In addition, decreased task-related coupling in clinical conditions such as schizophrenia is presumably compensated by increased connectivity in other networks (Friston, 1998;Stephan et al, 2006;Spoletini et al, 2009).…”

Section: Discussionmentioning

confidence: 99%

Frontostriatal Involvement in Task Switching Depends on Genetic Differences in D2 Receptor Density

Stelzel

Basten²,

Montag³

et al. 2010

J. Neurosci.

139

136

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Recent studies suggest an association of dopamine D2 receptor (DRD2) availability with flexibility in reward-based learning. We extend these results by demonstrating an association of genetically based differences in DRD2 density with the ability to intentionally switch between nonrewarded tasks: noncarriers of the A1 allele of the DRD2/ANKK1-TaqIa polymorphism, associated with higher DRD2 density, show increased task-switching costs, increased prefrontal switching activity in the inferior frontal junction area, and increased functional connectivity in dorsal frontostriatal circuits, relative to A1 allele carriers. A DRD2 haplotype analysis in the same sample confirmed these results, indicating an association between high D2 density and increased task-switching effort. Our results provide evidence that converges with that from association studies relating increased D2 density to deficits in cognitive flexibility in schizophrenia. We suggest that individual differences in striatal D2 signaling in healthy humans modulate goal-directed gating to prefrontal cortex, thus leading to individual differences in switching intentionally to newly relevant behaviors.

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Fronto-cingulate effective connectivity in major depression: A study with fMRI and dynamic causal modeling

Cited by 143 publications

References 70 publications

Resting-State Connectivity Predictors of Response to Psychotherapy in Major Depressive Disorder

Resting-State Connectivity Predictors of Response to Psychotherapy in Major Depressive Disorder

Depression alters “top-down” visual attention: A dynamic causal modeling comparison between depressed and healthy subjects

Frontostriatal Involvement in Task Switching Depends on Genetic Differences in D2 Receptor Density

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