fMRI of alterations in reward selection, anticipation, and feedback in major depressive disorder

Smoski, Moria J.; Felder, Jennifer N.; Bizzell, Joshua; Green, Steve; Ernst, Monique; Lynch, Thomas R.; Dichter, Gabriel S.

doi:10.1016/j.jad.2009.01.034

Cited by 295 publications

(278 citation statements)

References 29 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%

“…The DAN network shows increased synchronization during goal-directed processes (Corbetta et al, 1998;Kim, 2010), and MDD is characterized by poor performance in cognitive control tasks (Veiel, 1997;Zakzanis et al, 1998) as well as dysfunction in dorsolateral and ventrolateral prefrontal cortex and anterior cingulate cortex during cognitive control tasks (Brody et al, 2001;Rogers et al, 2004). MDD is also characterized by altered orbital frontal cortex activation in the context of processing rewards Smoski et al, 2009), anticipating rewards , and while processing sad distracting information (Elliott et al, 2002). Thus our finding of decreased connectivity between a DAN network hub and orbitofrontal gyrus may reflect the well-replicated finding of decreased cognitive control over emotion processing in MDD and prevailing neural models of MDD that highlight decreased modulatory control of prefrontal cortical brain regions over limbic brain regions, particularly in the context of emotion processing and emotion regulation (Johnstone et al, 2007;Joormann and Gotlib, 2010;Ray et al, 2005).…”

Section: Discussionmentioning

confidence: 99%

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

Crowther

Smoski

Minkel

et al. 2015

Neuropsychopharmacol

119

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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%

Section: Discussionmentioning

confidence: 99%

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

Crowther

Smoski

Minkel

et al. 2015

Neuropsychopharmacol

119

View full text Add to dashboard Cite

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“…In unipolar depression, behavioral studies have demonstrated blunted responsiveness to reward feedback (Pizzagalli et al, 2005(Pizzagalli et al, , 2008Steele et al, 2007), and neuroimaging studies have similarly found diminished reward system responses using various task paradigms (Pizzagalli et al, 2009;Smoski et al, 2009;Robinson et al, 2012;Stoy et al, 2012;Dillon et al, 2013). In contrast, several studies in non-depressed subjects with bipolar disorder have found evidence of reward system hyper-responsivity.…”

Section: Introductionmentioning

confidence: 99%

Common and Dissociable Dysfunction of the Reward System in Bipolar and Unipolar Depression

Satterthwaite

Kable

Vandekar

et al. 2015

Neuropsychopharmacol

224

147

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Unipolar and bipolar depressive episodes have a similar clinical presentation that suggests common dysfunction of the brain's reward system. Here, we evaluated the relationship of both dimensional depression severity and diagnostic category to reward system function in both bipolar and unipolar depression. In total, 89 adults were included, including 27 with bipolar depression, 25 with unipolar depression, and 37 healthy comparison subjects. Subjects completed both a monetary reward task and a resting-state acquisition during 3T BOLD fMRI. Across disorders, depression severity was significantly associated with reduced activation for wins compared with losses in bilateral ventral striatum, anterior cingulate cortex, posterior cingulate cortex, and right anterior insula. Resting-state connectivity within this reward network was also diminished in proportion to depression severity, most notably connectivity strength in the left ventral striatum. In addition, there were categorical differences between patient groups: resting-state connectivity at multiple reward network nodes was higher in bipolar than in unipolar depression. Reduced reward system task activation and resting-state connectivity therefore appear to be a brain phenotype that is dimensionally related to depression severity in both bipolar and unipolar depression. In contrast, categorical differences in reward system resting connectivity between unipolar and bipolar depression may reflect differential risk of mania. Reward system dysfunction thus represents a common brain mechanism with relevance that spans categories of psychiatric diagnosis.

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“…To capture the trend of recent neuroimaging articles in MDD, we searched the PubMed database and made a publication area chart with the publication date ranging from Jan. 1, 2010 to Dec. 26,2015. The PubMed database was searched using the retrieving field [Title/Abstract] for neuroimaging articles on MDD and the results were classified into multiple groups based on the type of neuroimaging technique, such as MRI, PET and SPECT, and multi-modal imaging (Fig.…”

Section: Statistics From Recent Neuroimaging Articles On Mddmentioning

confidence: 99%

“…Recent meta-analysis of VBM in MDD has shown strong evidence of gray-matter volume reduction in the anterior cingulate cortex (ACC) [21][22][23]. The ACC is involved in multiple cognitive and affective functions, such as decision-making [24], empathy [25], conflict-monitoring [26], working memory, attention, and informationprocessing [27]. Thus, structural alterations in the ACC may be associated with the affective and cognitive dysfunctions in MDD.…”

Section: Mr Imaging Of Brain Morphology and Structurementioning

confidence: 99%

Molecular, Functional, and Structural Imaging of Major Depressive Disorder

Zhang

Zhu

et al. 2016

Neurosci. Bull.

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Major depressive disorder (MDD) is a significant cause of morbidity and mortality worldwide, correlating with genetic susceptibility and environmental risk factors. Molecular, functional, and structural imaging approaches have been increasingly used to detect neurobiological changes, analyze neurochemical correlates, and parse pathophysiological mechanisms underlying MDD. We reviewed recent neuroimaging publications on MDD in terms of molecular, functional, and structural alterations as detected mainly by magnetic resonance imaging (MRI) and positron emission tomography. Altered structure and function of brain regions involved in the cognitive control of affective state have been demonstrated. An abnormal default mode network, as revealed by resting-state functional MRI, is likely associated with aberrant metabolic and serotonergic function revealed by radionuclide imaging. Further multi-modal investigations are essential to clarify the characteristics of the cortical network and serotonergic system associated with behavioral and genetic variations in MDD.

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fMRI of alterations in reward selection, anticipation, and feedback in major depressive disorder

Cited by 295 publications

References 29 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

Common and Dissociable Dysfunction of the Reward System in Bipolar and Unipolar Depression

Molecular, Functional, and Structural Imaging of Major Depressive Disorder

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