Literature DB >> 31754552

Emotion-Network Density in Major Depressive Disorder.

Madeline Lee Pe1, Katharina Kircanski2, Renee J Thompson3, Laura F Bringmann1, Francis Tuerlinckx1, Merijn Mestdagh1, Jutta Mata4, Susanne M Jaeggi5, Martin Buschkuehl6, John Jonides7, Peter Kuppens1, Ian H Gotlib2.   

Abstract

Major Depressive Disorder (MDD) is a prevalent disorder involving disturbances in mood. There is still much to understand regarding precisely how emotions are disrupted in individuals with MDD. In this study, we used a network approach to examine the emotional disturbances underlying MDD. We hypothesized that, compared to healthy controls, individuals diagnosed with MDD would be characterized by a denser emotion network, indicating that their emotion system is more resistant to change. Indeed, results from a 7-day experience sampling study revealed that individuals with MDD had a denser overall emotion network than did healthy controls. Moreover, this difference was driven primarily by a denser negative, but not positive, network in MDD participants. These findings suggest that the disruption in emotions that characterizes depressed individuals stems from a negative emotion system that is resistant to change.

Entities:  

Year:  2014        PMID: 31754552      PMCID: PMC6871506          DOI: 10.1177/2167702614540645

Source DB:  PubMed          Journal:  Clin Psychol Sci        ISSN: 2167-7034


  18 in total

1.  Comorbidity: a network perspective.

Authors:  Angélique O J Cramer; Lourens J Waldorp; Han L J van der Maas; Denny Borsboom
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4.  Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication.

Authors:  Ronald C Kessler; Wai Tat Chiu; Olga Demler; Kathleen R Merikangas; Ellen E Walters
Journal:  Arch Gen Psychiatry       Date:  2005-06

5.  Psychometric perspectives on diagnostic systems.

Authors:  Denny Borsboom
Journal:  J Clin Psychol       Date:  2008-09

6.  Emotional inertia prospectively predicts the onset of depressive disorder in adolescence.

Authors:  Peter Kuppens; Lisa B Sheeber; Marie B H Yap; Sarah Whittle; Julian G Simmons; Nicholas B Allen
Journal:  Emotion       Date:  2011-10-10

7.  The everyday emotional experience of adults with major depressive disorder: Examining emotional instability, inertia, and reactivity.

Authors:  Renee J Thompson; Jutta Mata; Susanne M Jaeggi; Martin Buschkuehl; John Jonides; Ian H Gotlib
Journal:  J Abnorm Psychol       Date:  2012-06-18

8.  Emotional reactivity to daily events in major and minor depression.

Authors:  Lauren M Bylsma; April Taylor-Clift; Jonathan Rottenberg
Journal:  J Abnorm Psychol       Date:  2011-02

Review 9.  Psychological flexibility as a fundamental aspect of health.

Authors:  Todd B Kashdan; Jonathan Rottenberg
Journal:  Clin Psychol Rev       Date:  2010-03-12

10.  A meta-analysis of emotional reactivity in major depressive disorder.

Authors:  Lauren M Bylsma; Bethany H Morris; Jonathan Rottenberg
Journal:  Clin Psychol Rev       Date:  2007-10-11
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  27 in total

Review 1.  Using ambulatory assessment to measure dynamic risk processes in affective disorders.

Authors:  Jonathan P Stange; Evan M Kleiman; Robin J Mermelstein; Timothy J Trull
Journal:  J Affect Disord       Date:  2019-08-19       Impact factor: 4.839

2.  The network approach to psychopathology: a review of the literature 2008-2018 and an agenda for future research.

Authors:  Donald J Robinaugh; Ria H A Hoekstra; Emma R Toner; Denny Borsboom
Journal:  Psychol Med       Date:  2019-12-26       Impact factor: 7.723

3.  Applied ambulatory assessment: Integrating idiographic and nomothetic principles of measurement.

Authors:  Aidan G C Wright; Johannes Zimmermann
Journal:  Psychol Assess       Date:  2019-03-21

4.  Using free association networks to extract characteristic patterns of affect dynamics.

Authors:  Yaniv Dover; Zohar Moore
Journal:  Proc Math Phys Eng Sci       Date:  2020-04-15       Impact factor: 2.704

5.  Does Symptom Linkage Density Predict Outcomes in Cognitive Therapy for Recurrent Depression?

Authors:  Jeffrey R Vittengl; Lee Anna Clark; Michael E Thase; Robin B Jarrett
Journal:  J Psychopathol Behav Assess       Date:  2021-08-17

6.  Efficient estimation of bounded gradient-drift diffusion models for affect on CPU and GPU.

Authors:  Tim Loossens; Kristof Meers; Niels Vanhasbroeck; Nil Anarat; Stijn Verdonck; Francis Tuerlinckx
Journal:  Behav Res Methods       Date:  2021-09-24

7.  Affective Dynamics Across Internalizing and Externalizing Dimensions of Psychopathology.

Authors:  Lori N Scott; Sarah E Victor; Erin A Kaufman; Joseph E Beeney; Amy L Byrd; Vera Vine; Paul A Pilkonis; Stephanie D Stepp
Journal:  Clin Psychol Sci       Date:  2020-04-20

8.  Feasibility and utility of idiographic models in the clinic: A pilot study.

Authors:  Madelyn R Frumkin; Marilyn L Piccirillo; Emorie D Beck; Jason T Grossman; Thomas L Rodebaugh
Journal:  Psychother Res       Date:  2020-08-24

9.  Temporal networks of tobacco withdrawal symptoms during smoking cessation treatment.

Authors:  David M Lydon-Staley; Adam M Leventhal; Megan E Piper; Robert A Schnoll; Danielle S Bassett
Journal:  J Abnorm Psychol       Date:  2020-11-30

10.  Emotion network density is a potential clinical marker for anxiety and depression: Comparison of ecological momentary assessment and daily diary.

Authors:  Ki Eun Shin; Michelle G Newman; Nicholas C Jacobson
Journal:  Br J Clin Psychol       Date:  2021-05-07
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