Distinguishing medication‐free subjects with unipolar disorder from subjects with bipolar disorder: state matters

Rive, Maria M.; Redlich, Ronny; Schmaal, Lianne; Marquand, André F.; Dannlowski, Udo; Grotegerd, Dominik; Veltman, Dick J.; Schene, Aart H.; Ruhé, Henricus G.

doi:10.1111/bdi.12446

Cited by 53 publications

(43 citation statements)

References 106 publications

(196 reference statements)

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“…Functional connectivity alterations in the temporal lobes between BD and MDD have been consistently reported by prior studies (He et al, ; Rive et al, ; Wang, Wang, Jia, Zhong, Niu et al, ; Wang, Wang, Jia, Zhong, Zhong et al, ). Interestingly, previous structural MRI studies have reported decreased cortical thickness in temporal as well as frontal areas including the ACC in individuals with BD (Hanford, Nazarov, Hall, & Sassi, ).…”

Section: Discussionsupporting

confidence: 64%

“…For example, Sacchet et al () observed gray matter volume differences in the caudate nucleus for euthymic BD and both depressed and euthymic MDD participants compared to HC, and in the ventral diencephalon between the depressed MDD group and the other three groups. Rive et al () found different connectivity patterns in the default mode network (DMN) between groups of currently depressed MDD along with remitted MDD and BD individuals.…”

Section: Introductionmentioning

confidence: 99%

“…Recent studies have utilized functional magnetic resonance imaging (fMRI) as a potential tool to differentiate BD and MDD (Anand, Li, Wang, Lowe, & Dzemidzic, 2009;Goya-Maldonado et al, 2016;Liu et al, 2013Liu et al, , 2015Marchand, Lee, Johnson, Gale, & Thatcher, 2013;Rive et al, 2016;Sacchet, Livermore, Iglesias, Glover, & Gotlib, 2015;Wang et al, 2015). Especially resting-state fMRI (r-fMRI) has gained increased attention because of its ability to monitor spontaneous hemodynamic responses that are task-independent without application of external stimuli (Lee, Smyser, & Shimony, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Aberrant brain network topology in fronto‐limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorder

et al. 2019

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Introduction Previous studies have established graph theoretical analysis of functional network connectivity (FNC) as a potential tool to detect neurobiological underpinnings of psychiatric disorders. Despite the promising outcomes in studies that examined FNC aberrancies in bipolar disorder (BD) and major depressive disorder (MDD), there is still a lack of research comparing both mood disorders, especially in a nondepressed state. In this study, we used graph theoretical network analysis to compare brain network properties of euthymic BD, euthymic MDD and healthy controls (HC) to evaluate whether these groups showed distinct features in FNC. Methods We collected resting‐state functional magnetic resonance imaging (fMRI) data from 20 BD patients, 15 patients with recurrent MDD as well as 30 age‐ and gender‐matched HC. Graph theoretical analyses were then applied to investigate functional brain networks on a global and regional network level. Results Global network analysis revealed a significantly higher mean global clustering coefficient in BD compared to HC. We further detected frontal, temporal and subcortical nodes in emotion regulation areas such as the limbic system and associated regions exhibiting significant differences in network integration and segregation in BD compared to MDD patients and HC. Participants with MDD and HC only differed in frontal and insular network centrality. Conclusion In conclusion, our findings indicate that a significantly altered brain network topology in the limbic system might be a trait marker specific to BD. Brain network analysis in these regions may therefore be used to differentiate euthymic BD not only from HC but also from patients with MDD.

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Section: Discussionsupporting

confidence: 64%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Aberrant brain network topology in fronto‐limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorder

et al. 2019

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“…Recent studies have found neural differences between depressed BP and MDD to be present during a variety of tasks requiring cognitive control function in the left posterior parietal lobe, left post central gyrus, medial frontal gyrus, anterior cingulate, left and right para‐hippocampal gyrus, left cerebellum, medial frontal gyrus, and the left post central gyrus, with MDD patients most commonly displaying hyperactivity compared to BP patients . The only group of studies comparing activation in remitted BP and MDD, done by Rive et al, found greater DLPFC activity in BP compared to MDD during emotion regulation but a lack of neural differences during visuospatial planning task . While previous studies have reported failed deactivation during cognition in each illness individually, only one other study has compared deactivation during a task involving a function of cognitive control in BP and MDD participants .…”

Section: Introductionmentioning

confidence: 99%

Investigating the neural basis of cognitive control dysfunction in mood disorders

et al. 2019

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Objectives: Dysfunction of cognitive control is a feature of both bipolar disorder (BP) and major depression (MDD) and persists through to remission. However, it is unknown whether these disorders are characterized by common or distinct disruptions of cognitive control function and its neural basis. We investigated this gap in knowledge in asymptomatic BP and MDD participants, interpreted within a framework of normative function.Methods: Participants underwent fMRI scans engaging cognitive control through a working memory task and completed a cognitive battery evaluating performance across multiple subdomains of cognitive control, including attention, impulsivity, processing speed, executive function, and memory. Analysis was performed in two stages: (i) cognitive control-related brain activation and deactivation were correlated with cognitive control performance in 115 healthy controls (HCs), then, (ii) significantly correlated regions from (i) were compared between 25 asymptomatic BP, 25 remitted MDD, and with 25 different HCs, matched for age and gender.Results: Impulsivity and executive function performance were significantly worse in BP compared to both MDD and HCs. Both BP and MDD had significantly poorer memory performance compared to HCs. Greater deactivation of the medial prefrontal cortex (MPFC) during the fMRI task was associated with better executive function in healthy controls. Significantly less deactivation in this region was present in both BP and MDD compared to HCs. Conclusions:Failure to deactivate the MPFC, a key region of the default mode network, during working memory processing is a shared neural feature present in both bipolar and major depression and could be a source of common cognitive dysfunction. K E Y W O R D Sbipolar disorders, cognitive control, depression, euthymic, fMRI activation | 287 BREUKELAAR Et AL.

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“…Advanced neuroimaging may yield clinically useful methods by which to differentiate major depressive episodes associated with BD from those associated with MDD (7,8). Resting state functional connectivity (rsFC) is one possible such method (9).…”

Section: Introductionmentioning

confidence: 99%

Insula and amygdala resting‐state functional connectivity differentiate bipolar from unipolar depression

Ambrosi

Arciniegas

Madan

et al. 2017

Acta Psychiatr Scand

113

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Objective Distinguishing depressive episodes due to bipolar disorder (BD) or major depressive disorder (MDD) solely on clinical grounds is challenging. We aimed at comparing resting-state functional connectivity (rsFC) of regions subserving emotional regulation in similarly depressed BD and MDD. Method We enrolled 76 inpatients (BD, n=36; MDD, n=40), and healthy controls (HC, n=40). A seed-based approach was used to identify regions showing different rsFC with the insula and the amygdala. Insular and amygdalar parcellations were then performed along with diagnostic accuracy of the main findings. Results Lower rsFC between the left insula and the left mid-dorsolateral prefrontal cortex and between bilateral insula and right frontopolar prefrontal cortex (FPPFC) were observed in BD compared to MDD and HC. These results were driven by the dorsal anterior and posterior insula (PI). Lower rsFC between the right amygdala and the left anterior hippocampus was observed in MDD compared to BD and HC. These results were driven by the centromedial and laterobasal amygdala. Left PI/right FPPC rsFC showed 78% accuracy differentiating BD and MDD. Conclusion Amygdalar and insular rsFC distinguished between depressed BD and MDD. The observed differences suggest the possibility of differential pathophysiological mechanisms of emotional dysfunction in bipolar and unipolar depression.

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Distinguishing medication‐free subjects with unipolar disorder from subjects with bipolar disorder: state matters

Cited by 53 publications

References 106 publications

Aberrant brain network topology in fronto‐limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorder

Aberrant brain network topology in fronto‐limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorder

Investigating the neural basis of cognitive control dysfunction in mood disorders

Insula and amygdala resting‐state functional connectivity differentiate bipolar from unipolar depression

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