2014
DOI: 10.1016/j.jad.2014.01.024
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Frontoparietal function in young people with dysthymic disorder (DSM-5: Persistent depressive disorder) during spatial working memory

Abstract: Background: Dysthymic disorder (DD) is a depressive disorder characterised by persistent low and/or irritable mood and has been identified as a major risk factor for developing major depressive disorder (MDD). MDD and DD have been associated with executive function difficulties of working memory and attention. Little is known about how executive function networks in the brain are affected in children and adolescents with MDD and even less in DD. This study used fMRI and two spatial working memory paradigms to … Show more

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Cited by 24 publications
(13 citation statements)
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References 79 publications
(97 reference statements)
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“…The exception here is the SN, for which the classifier performed better in the PDD group compared to the other two groups, and this increased AUC measure appears to be driven by both higher specificity and sensitivity. Overall, our results confirm our hypotheses and are consistent with the large body of research that has shown differences in the neural underpinnings between patient groups diagnosed with ADHD or clinical depression and non-clinical groups during working memory tasks (e.g., Burgess et al, 2010;Matsuo et al, 2007;Mills et al, 2012;Vance et al, 2007;Vilgis et al, 2014;Walter et al, 2007;Wolf et al, 2009). Group differences in classifier performance during the control condition most notable in the DMN and SN are particularly intriguing, as resting-state investigations have previously shown atypical functional connectivity of these networks at rest in patients with ADHD and patients with clinical depression (e.g., Cortese et al, 2021;Mulders et al, 2015;Sundermann et al, 2014;Sutcubasi et al, 2020).…”
Section: Discussionsupporting
confidence: 90%
“…The exception here is the SN, for which the classifier performed better in the PDD group compared to the other two groups, and this increased AUC measure appears to be driven by both higher specificity and sensitivity. Overall, our results confirm our hypotheses and are consistent with the large body of research that has shown differences in the neural underpinnings between patient groups diagnosed with ADHD or clinical depression and non-clinical groups during working memory tasks (e.g., Burgess et al, 2010;Matsuo et al, 2007;Mills et al, 2012;Vance et al, 2007;Vilgis et al, 2014;Walter et al, 2007;Wolf et al, 2009). Group differences in classifier performance during the control condition most notable in the DMN and SN are particularly intriguing, as resting-state investigations have previously shown atypical functional connectivity of these networks at rest in patients with ADHD and patients with clinical depression (e.g., Cortese et al, 2021;Mulders et al, 2015;Sundermann et al, 2014;Sutcubasi et al, 2020).…”
Section: Discussionsupporting
confidence: 90%
“…This tight coupling might underlie decreased reciprocal inhibition between the anterior parts of these antagonistic networks. Moreover, the fact that the strongest DMN disinhibition was detected in the amPFC underlines the superior role of this cortical midline structure in the dynamic interplay between several large-scale neural circuitries, encompassing the fronto-parietal central executive network, cingulo-opercular salience network (SN), and the medial prefrontal-medial parietal DMN, which has been shown to be dysfunctional in depression ( Lemogne et al., 2012; Li et al., 2013; Liston et al., 2014 ) and other major neuropsychiatric disorders ( Meyer-Lindenberg and Tost, 2012; Chen et al., 2013; Vilgis et al., 2014 ). In detail, the present findings are in line with the idea that a dysfunctional amPFC interferes with bottom-up processes during WM-related computations in MDD patients.…”
Section: Discussionmentioning
confidence: 99%
“…Altered frontal activation ACC/MPFC/OFC/ hyperactivation for happy faces (Keedwell et al, 2005a, b;Mitterschiffthaler et al, 2003;Zhang et al, 2013), reward anticipation and reward outcomes (Dichter et al, 2012) (Niendam et al, 2012) Working memory and selective attention (Chen et al, 2013;Niendam et al, 2012) DLPFC/ACC hypoactivation in MDD (Elliott et al, 1997;Holmes & Pizzagalli, 2008;Korgaonkar et al, 2013;Siegle et al, 2007;Vasic, Walter, Sambataro, & Wolf, 2009;Vilgis et al, 2014) and in social anxiety (Koric et al, 2012) and induced anxious mood (Fales et al, 2008).…”
Section: Structural Alterations In Depression and Anxietymentioning
confidence: 99%