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Associations Between Daily Affective Instability and Connectomics in Functional Subnetworks in Remitted Patients with Recurrent Major Depressive Disorder.

ABSTRACT: Remitted patients with major depressive disorder (rMDD) often report more fluctuations in mood as residual symptomatology. It is unclear how this affective instability is associated with information processing related to the default mode (DMS), salience/reward (SRS), and frontoparietal (FPS) subnetworks in rMDD patients at high risk of recurrence (rrMDD). Sixty-two unipolar, drug-free rrMDD patients (?2 MDD episodes) and 41 healthy controls (HCs) were recruited. We used experience sampling methodology to monitor mood/cognitions (10 times a day for 6 days) and calculated affective instability using the mean adjusted absolute successive difference. Subsequently, we collected resting-state functional magnetic resonance imaging data and performed graph theory to obtain network metrics of integration within (local efficiency) the DMS, SRS, and FPS, and between (participation coefficient) these subnetworks and others. In rrMDD patients compared with HCs, we found that affective instability was increased in most negative mood/cognition variables and that the DMS had less connections with other subnetworks. Furthermore, we found that rrMDD patients, who showed more instability in feeling down and irritated, had less connections between the SRS and other subnetworks and higher local efficiency coefficients in the FPS, respectively. In conclusion, rrMDD patients, compared with HCs, are less stable in their negative mood and these dynamics are related to differences in information processing within- and between-specific functional subnetworks. These results are a first step to gain a better understanding of how mood fluctuations in real life are represented in the brain and provide insights into the vulnerability profile of MDD.

SUBMITTER: Servaas MN

PROVIDER: S-EPMC5686496 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

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Associations Between Daily Affective Instability and Connectomics in Functional Subnetworks in Remitted Patients with Recurrent Major Depressive Disorder.

Servaas Michelle N MN Riese Harriëtte H Renken Remco J RJ Wichers Marieke M Bastiaansen Jojanneke A JA Figueroa Caroline A CA Geugies Hanneke H Mocking Roel Jt RJ Geerligs Linda L Marsman Jan-Bernard C JC Aleman André A Schene Aart H AH Schoevers Robert A RA Ruhé Henricus G HG

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology 20170331 13

Remitted patients with major depressive disorder (rMDD) often report more fluctuations in mood as residual symptomatology. It is unclear how this affective instability is associated with information processing related to the default mode (DMS), salience/reward (SRS), and frontoparietal (FPS) subnetworks in rMDD patients at high risk of recurrence (rrMDD). Sixty-two unipolar, drug-free rrMDD patients (⩾2 MDD episodes) and 41 healthy controls (HCs) were recruited. We used experience sampling metho ...[more]

PMID: 28361870

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Project description:Previous neuromorphometric investigations of major depressive disorder (MDD) have reported abnormalities in gray matter in several regions, although the results have been inconsistent across studies. Some discrepancies in the results across studies may reflect design limitations such as small sample sizes, whereas others may reflect biological variability that potentially manifests as differences in clinical course. For example, it remains unclear whether the abnormalities found in persistently depressed MDD subjects extend to or persist in patients who experience prolonged remission. The aim of the present study was to investigate gray matter (GM) differences in unmedicated, currently-depressed participants (dMDD) and unmedicated, currently-remitted (rMDD) participants with MDD compared to healthy controls (HC). The GM density and volume were compared across groups using voxel-based morphometry, a quantitative neuroanatomical technique, and high-resolution MRI images from 107 HC, 58 dMDD and 27 rMDD subjects. Relative to the HC group the dMDD group had reduced GM in the dorsal anterolateral (DALPFC), the dorsomedial (DMPFC) and the ventrolateral prefrontal cortex (VLPFC). Relative to the rMDD group the dMDD group showed reduced GM in the DALPFC, the VLPFC, the anterior cingulate cortex (ACC), the precuneus and the inferior parietal lobule. No regions were identified in which the rMDD group showed significantly lower GM compared to the HC group after p-values were corrected for the number of comparisons performed. In unmedicated patients in the depressed phase of MDD, we found evidence of morphometric abnormalities in DALPFC and in medial prefrontal cortical regions belonging to the visceromotor network. These findings, along with the absence of GM abnormalities in the remitted sample imply a possible link between greater GM tissue and better clinical outcome. Consistent with other neuroimaging and post-mortem neuropathological studies of MDD, we also found evidence of decreased white matter in patients with dMDD and rMDD.

Project description:ObjectivesCognitive reactivity (CR) to sad mood is a risk factor for major depressive disorder (MDD). CR is usually measured by assessing change on the Dysfunctional Attitudes Scale (DAS-change) after sad mood-induction. It has, however, been suggested that the versions of the DAS (A/B) are not interchangeable, impacting the reliability and validity of the change score. The Leiden Index of Depression Sensitivity-Revised (LEIDS-R) is an alternative self-report measure of CR. Studies examining the relationship between LEIDS-R and DAS-change have shown mixed results. We examined whether scores of these CR measures differed between remitted MDD and controls, the relationship between these CR measures, and the effect of order of DAS administration on DAS-change.DesignCross-sectional design with two groups (remitted MDD and controls).MethodsSixty-eight MDD patients remitted from ?2 previous episodes, not taking antidepressants, and 43 never-depressed controls participated in a mood-induction and filled in the DAS-A/B in randomized order before and after mood-induction, and LEIDS-R separately.ResultsLEIDS-R scores and pre-mood-induction DAS scores were significantly higher in remitted MDD than controls (p < .001, Cohen's d = 1.48; p = .001, Cohen's d = 0.66, respectively). DAS-change did not differ between these groups (p = .67, Cohen's d = 0.08). LEIDS-R correlated with DAS-change (r = .30, p = .042), but only in the group that filled in DAS-B before DAS-A. In remitted MDD, DAS-change was dependent on the order of DAS versions before and after mood-induction (10.6 ± 19.0 vs. -1.2 ± 10.5, for order B-A and A-B, respectively), with a significant group × order interaction (p = .012).ConclusionsExisting DAS versions are not interchangeable, which compromises the usefulness of mood-inductions in clinical practice. The LEIDS-R seems a valid measure of cognitive vulnerability to depression.Practitioner pointsClinical implications: Cognitive reactivity (CR) is a risk factor of depressive recurrence. The current measurement of CR, by assessing change on the Dysfunctional Attitudes Scale (DAS) after mood-induction, is not reliable. The Leiden Index Depression Sensitivity-Revised (LEIDS-R) is an alternative CR measure. In contrast to mood-induction, it reliably assesses depression vulnerability. The use of mood-inductions for clinical/research purposes is unnecessary.Limitations of the studyWe were not able to examine the effect of previous treatment, which could have affected results as psychological treatments probably have differential effects on CR. Examining un-medicated patients may have led to selection of a sample not completely representative for the general MDD population. We did not administer both parallel versions of the DAS (A/B) before and after mood-induction. This might have provided better understanding of their differential sensitivity to change.

Dataset Information

Associations Between Daily Affective Instability and Connectomics in Functional Subnetworks in Remitted Patients with Recurrent Major Depressive Disorder.

Publications

Associations Between Daily Affective Instability and Connectomics in Functional Subnetworks in Remitted Patients with Recurrent Major Depressive Disorder.

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