Publication

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

Servaas, M. N., Riese, H., Renken, R. J., Wichers, M., Bastiaansen, J. A., Figueroa, C. A., Geugies, H., Mocking, R. J. T., Geerligs, L., Marsman, J-B. C., Aleman, A., Schene, A. H., Schoevers, R. A. & Ruhe, H. G., Dec-2017, In : Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 42, 13, p. 2583-2592 10 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Servaas, M. N., Riese, H., Renken, R. J., Wichers, M., Bastiaansen, J. A., Figueroa, C. A., ... Ruhe, H. G. (2017). Associations Between Daily Affective Instability and Connectomics in Functional Subnetworks in Remitted Patients with Recurrent Major Depressive Disorder. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 42(13), 2583-2592. https://doi.org/10.1038/npp.2017.65

Author

Servaas, Michelle N. ; Riese, Harriette ; Renken, Remco J. ; Wichers, Marieke ; Bastiaansen, Jojanneke A. ; Figueroa, Caroline A. ; Geugies, Hanneke ; Mocking, Roel J. T. ; Geerligs, Linda ; Marsman, Jan-Bernard C. ; Aleman, André ; Schene, Aart H. ; Schoevers, Robert A. ; Ruhe, Henricus G. / Associations Between Daily Affective Instability and Connectomics in Functional Subnetworks in Remitted Patients with Recurrent Major Depressive Disorder. In: Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2017 ; Vol. 42, No. 13. pp. 2583-2592.

Harvard

Servaas, MN, Riese, H, Renken, RJ, Wichers, M, Bastiaansen, JA, Figueroa, CA, Geugies, H, Mocking, RJT, Geerligs, L, Marsman, J-BC, Aleman, A, Schene, AH, Schoevers, RA & Ruhe, HG 2017, 'Associations Between Daily Affective Instability and Connectomics in Functional Subnetworks in Remitted Patients with Recurrent Major Depressive Disorder', Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, vol. 42, no. 13, pp. 2583-2592. https://doi.org/10.1038/npp.2017.65

Standard

Associations Between Daily Affective Instability and Connectomics in Functional Subnetworks in Remitted Patients with Recurrent Major Depressive Disorder. / Servaas, Michelle N.; Riese, Harriette; Renken, Remco J.; Wichers, Marieke; Bastiaansen, Jojanneke A.; Figueroa, Caroline A.; Geugies, Hanneke; Mocking, Roel J. T.; Geerligs, Linda; Marsman, Jan-Bernard C.; Aleman, André; Schene, Aart H.; Schoevers, Robert A.; Ruhe, Henricus G.

In: Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, Vol. 42, No. 13, 12.2017, p. 2583-2592.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Servaas MN, Riese H, Renken RJ, Wichers M, Bastiaansen JA, Figueroa CA et al. Associations Between Daily Affective Instability and Connectomics in Functional Subnetworks in Remitted Patients with Recurrent Major Depressive Disorder. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2017 Dec;42(13):2583-2592. https://doi.org/10.1038/npp.2017.65


BibTeX

@article{32ae09018b3a443c958a78cc761f73a0,
title = "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.",
keywords = "ECOLOGICAL MOMENTARY ASSESSMENT, STRESS-REACTIVITY, DEFAULT-MODE, CONNECTIVITY, BRAIN, ABNORMALITIES, IRRITABILITY, ORGANIZATION, METAANALYSIS, INDIVIDUALS",
author = "Servaas, {Michelle N.} and Harriette Riese and Renken, {Remco J.} and Marieke Wichers and Bastiaansen, {Jojanneke A.} and Figueroa, {Caroline A.} and Hanneke Geugies and Mocking, {Roel J. T.} and Linda Geerligs and Marsman, {Jan-Bernard C.} and Andr{\'e} Aleman and Schene, {Aart H.} and Schoevers, {Robert A.} and Ruhe, {Henricus G.}",
year = "2017",
month = "12",
doi = "10.1038/npp.2017.65",
language = "English",
volume = "42",
pages = "2583--2592",
journal = "Neuropsychopharmacology",
issn = "0893-133x",
publisher = "Nature Publishing Group",
number = "13",

}

RIS

TY - JOUR

T1 - Associations Between Daily Affective Instability and Connectomics in Functional Subnetworks in Remitted Patients with Recurrent Major Depressive Disorder

AU - Servaas, Michelle N.

AU - Riese, Harriette

AU - Renken, Remco J.

AU - Wichers, Marieke

AU - Bastiaansen, Jojanneke A.

AU - Figueroa, Caroline A.

AU - Geugies, Hanneke

AU - Mocking, Roel J. T.

AU - Geerligs, Linda

AU - Marsman, Jan-Bernard C.

AU - Aleman, André

AU - Schene, Aart H.

AU - Schoevers, Robert A.

AU - Ruhe, Henricus G.

PY - 2017/12

Y1 - 2017/12

N2 - 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.

AB - 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.

KW - ECOLOGICAL MOMENTARY ASSESSMENT

KW - STRESS-REACTIVITY

KW - DEFAULT-MODE

KW - CONNECTIVITY

KW - BRAIN

KW - ABNORMALITIES

KW - IRRITABILITY

KW - ORGANIZATION

KW - METAANALYSIS

KW - INDIVIDUALS

U2 - 10.1038/npp.2017.65

DO - 10.1038/npp.2017.65

M3 - Article

VL - 42

SP - 2583

EP - 2592

JO - Neuropsychopharmacology

JF - Neuropsychopharmacology

SN - 0893-133x

IS - 13

ER -

ID: 40976546