Large-Scale Network Dysfunction in Major Depressive Disorder

Kaiser, Roselinde H.; Andrews‐Hanna, Jessica R.; Wager, Tor D.; Pizzagalli, Diego A.

doi:10.1001/jamapsychiatry.2015.0071

Cited by 1,532 publications

(791 citation statements)

References 76 publications

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Section: Introductionmentioning

confidence: 99%

“…Major depressive disorder (MDD), a debilitating mental illness with high rates of treatment nonresponse, shows widespread dysconnectivity as measured by rs-fcMRI (Kaiser et al, 2015). Early studies have primarily used seed-based methods to identify altered networks in MDD (Kaiser et al, 2015). Such approaches are limited by the need for a priori selection of a seed area, and novel analyses have been developed to conduct fully data-driven assessment of whole-brain connectivity without the need for seed selection (Bullmore and Sporns, 2009;Menon, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…However, owing to the significant heterogeneity of approaches and findings, the essential network alterations in MDD have yet to be determined (Kaiser et al, 2015). In an effort to implement a simple, robust biomarker of intrinsic brain networks and to circumvent some of the seed-based analysis limitations, here we used GBCr to quantify brain dysconnectivity in MDD and to relate these abnormalities to rapid mood normalization following treatment in a fully data-driven manner.…”

Section: Introductionmentioning

confidence: 99%

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Ketamine Treatment and Global Brain Connectivity in Major Depression

Abdallah

Averill

Collins

et al. 2016

Neuropsychopharmacol

241

208

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Capitalizing on recent advances in resting-state functional connectivity magnetic resonance imaging (rs-fcMRI) and the distinctive paradigm of rapid mood normalization following ketamine treatment, the current study investigated intrinsic brain networks in major depressive disorder (MDD) during a depressive episode and following treatment with ketamine. Medication-free patients with MDD and healthy control subjects (HC) completed baseline rs-fcMRI. MDD patients received a single infusion of ketamine and underwent repeated rs-fcMRI at 24 h posttreatment. Global brain connectivity with global signal regression (GBCr) values were computed as the average of correlations of each voxel with all other gray matter voxels in the brain. MDD group showed reduced GBCr in the prefrontal cortex (PFC) but increased GBCr in the posterior cingulate, precuneus, lingual gyrus, and cerebellum. Ketamine significantly increased GBCr in the PFC and reduced GBCr in the cerebellum. At baseline, 2174 voxels of altered GBCr were identified, but only 310 voxels significantly differed relative to controls following treatment (corrected αo0.05). Responders to ketamine showed increased GBCr in the lateral PFC, caudate, and insula. Follow-up seed-based analyses illustrated a pattern of dysconnectivity between the PFC/subcortex and the rest of the brain in MDD, which appeared to normalize postketamine. The extent of the functional dysconnectivity identified in MDD and the swift and robust normalization following treatment suggest that GBCr may serve as a treatment response biomarker for the development of rapid acting antidepressants. The data also identified unique prefrontal and striatal circuitry as a putative marker of successful treatment and a target for antidepressants' development.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Ketamine Treatment and Global Brain Connectivity in Major Depression

Abdallah

Averill

Collins

et al. 2016

Neuropsychopharmacol

241

208

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“…Currently, the diagnosis of depression is based on the phenomenological evaluation of symptoms and behaviour by trained clinicians. Scientists have posited that neuroimaging holds 'diagnostic potential' given findings in multiple studies of significant anomalies in brain structure (3)(4)(5), function (6)(7)(8), and neurochemistry (9; 10) in patients suffering from depression. Even though these meta-analyses indicate that brain changes are replicable across studies, the alterations are often small and do not allow a reliable differentiation between patients and controls (11).…”

Section: Introductionmentioning

confidence: 99%

Detecting Neuroimaging Biomarkers for Depression: A Meta-analysis of Multivariate Pattern Recognition Studies

Kambeitz

Cabral

Sacchet

et al. 2017

Biological Psychiatry

117

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“…The vmPFC not only represents a core region of the DMN (Buckner et al., 2008), but it is also a critical region involved in self‐referential processing (Lemogne, Delaveau, Freton, Guionnet, & Fossati, 2012; Northoff et al., 2006). This finding suggests hyperconnectivity within the DMN in patients with MDD, and is consistent with previous studies in patients with depression (Alexopoulos et al., 2012; Kaiser, Andrews‐Hanna, Wager, & Pizzagalli, 2015; Sheline, Price, Yan, & Mintun, 2010) (but see de Kwaasteniet et al. (2015) and Zhu et al.…”

Section: Discussionmentioning

confidence: 99%

Relation between patterns of intrinsic network connectivity, cognitive functioning, and symptom presentation in trauma‐exposed patients with major depressive disorder

et al. 2017

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ObjectiveThe present study investigated resting fMRI connectivity within the default mode (DMN), salience (SN), and central executive (CEN) networks in relation to neurocognitive performance and symptom severity in trauma‐exposed patients with major depressive disorder (MDD).MethodGroup independent component analysis was conducted among patients with MDD (n = 21), examining DMN, SN, and CEN connectivity in relation to neurocognitive performance and symptom severity. Activation in these networks was also compared between the patient group and healthy controls (n = 20).ResultsAmong the patient group, higher levels of performance on measures of verbal memory and executive functioning were related to increased connectivity within the DMN (i.e., inferior parietal lobe; precuneus). Greater depression severity was related to reduced connectivity between the SN and a node of the DMN (i.e., posterior cingulate cortex) and higher depersonalization symptoms were related to enhanced connectivity between the SN and a node of the DMN (i.e., middle temporal gyrus). Higher symptoms of depersonalization were also associated with reduced integration of the DMN with the medial frontal gyrus. Relative to controls, patients with MDD showed greater connectivity of the ventromedial prefrontal cortex within the DMN.ConclusionIntrinsic connectivity network patterns are related to cognitive performance and symptom presentation among trauma‐exposed patients with MDD.

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Large-Scale Network Dysfunction in Major Depressive Disorder

Abstract: Large-scale network dysfunction in major depressive disorder: metaanalysis of resting-state functional connectivity. JAMA Psychiatry.

Cited by 1,532 publications

References 76 publications

Ketamine Treatment and Global Brain Connectivity in Major Depression

Ketamine Treatment and Global Brain Connectivity in Major Depression

Detecting Neuroimaging Biomarkers for Depression: A Meta-analysis of Multivariate Pattern Recognition Studies

Relation between patterns of intrinsic network connectivity, cognitive functioning, and symptom presentation in trauma‐exposed patients with major depressive disorder

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