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

Michelle N. Servaas*, Harriette Riese, Remco J. Renken, Marieke Wichers, Jojanneke A. Bastiaansen, Caroline A. Figueroa, Hanneke Geugies, Roel J. T. Mocking, Linda Geerligs, Jan-Bernard C. Marsman, André Aleman, Aart H. Schene, Robert A. Schoevers, Henricus G. Ruhe

*Bijbehorende auteur voor dit werk

OnderzoeksoutputAcademicpeer review

15 Citaten (Scopus)
270 Downloads (Pure)


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.

Originele taal-2English
Pagina's (van-tot)2583-2592
Aantal pagina's10
TijdschriftNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Nummer van het tijdschrift13
StatusPublished - dec-2017

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