Exploring the idiographic dynamics of mood and anxiety via network analysis
Abstract
Individual variation is increasingly recognized as important to psychopathology research. Concurrently, new methods of analysis based on network models are bringing new perspectives on mental (dys)function. This current work analyzed idiographic multivariate time series data using a novel network methodology that incorporates contemporaneous and lagged associations in mood and anxiety symptomatology. Data were taken from 40 individuals with generalized anxiety disorder (GAD), major depressive disorder (MDD), or comorbid GAD and MDD, who answered questions about 21 descriptors of mood and anxiety symptomatology 4 times a day over a period of approximately 30 days. The model provided an excellent fit to the intraindividual symptom dynamics of all 40 individuals. The most central symptoms in contemporaneous systems were those related to positive and negative mood. The temporal networks highlighted the importance of anger to symptomatology, while also finding that depressed mood and worry-the principal diagnostic criteria for GAD and MDD-were the least influential nodes across the sample. The method's potential for analysis of individual symptom patterns is demonstrated by 3 exemplar participants. Idiographic network-based analysis may fundamentally alter the way psychopathology is assessed, classified, and treated, allowing researchers and clinicians to better understand individual symptom dynamics. (PsycINFO Database Record
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The inherent clinical heterogeneity associated with mental disorders may necessitate a greater focus on inter-individual differences to ensure generalisability to unseen cases.
“However, it has been recognised that the inherent clinical heterogeneity associated with mental disorders may necessitate a greater focus on inter-individual differences to ensure generalisability to unseen cases (39, 43, 44).”
From Personalised depression forecasting using mobile sensor data and ecological momentary assessment (2022) · cites this paper as [43]
A few selected EMA studies did not report compliance information.
“A few studies did not report this information [35,40,41,42,51,57,60].”
From Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review (2019) · cites this paper as [60]
Positive mood, hopelessness, anger, and irritability were the strongest drivers of moment-to-moment symptomatology.
““positive mood”, “hopelessness”, “anger”, and “irritability” were the strongest drivers of moment-to-moment symptomatology”
From Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review (2019) · cites this paper as [60]
Positive and negative mood were the most representative variables of patients' core symptoms in network models of depression and anxiety.
“Positive (positive, content, enthusiastic, energetic) and negative (down) mood were the most representative variables of patients’ core symptoms.”
From Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review (2019) · cites this paper as [60]
In contemporaneous and temporal network models, worried and down did not show temporal influence.
“While “worried” and “down” did not show temporal influence”
From Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review (2019) · cites this paper as [60]
The dynamics of affective states and mood greatly vary from person to person, so ideographic approaches may shed light upon the structure of individual symptom dynamics.
“these dynamics greatly vary from person to person, reasons for which ideographic approaches may shed light upon the structure of individual symptom dynamics [60]”
From Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review (2019) · cites this paper as [60]
Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788 · see citing works
Hamilton, M. (1960) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.23.1.56 · Cited by 32,817 · see citing works
Investigating causal relations by econometric models and cross-spectral methods
Granger, C. W. J. (1969) · Econometrica · doi:10.2307/1912791 · Cited by 22,989 · see citing works
Interrater reliability: The kappa statistic
McHugh, M. L. (2012) · Biochemia Medica · doi:10.11613/bm.2012.031 · Cited by 19,877 · see citing works
Causality: Models, Reasoning, and Inference
Pearl, J. (2009) · doi:10.1017/cbo9780511803161 · Cited by 11,653 · see citing works
The assessment of anxiety states by rating
HAMILTON, M. (1959) · British Journal of Medical Psychology · doi:10.1111/j.2044-8341.1959.tb00467.x · Cited by 11,455 · see citing works
Cognitive Therapy for Depression
(2012) · PsycEXTRA Dataset · doi:10.1037/e675542012-001 · Cited by 9,678 · see citing works
Qgraph: Network visualizations of relationships in psychometric data
Epskamp, S., Cramer, A., Waldorp, L., Schmittmann, V., & Borsboom, D. (2012) · Journal of Statistical Software · doi:10.18637/jss.v048.i04 · Cited by 4,844 · see citing works
Network analysis: An integrative approach to the structure of psychopathology
Borsboom, D., & Cramer, A. O. J. (2013) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-050212-185608 · Cited by 4,359 · see citing works
Node centrality in weighted networks: Generalizing degree and shortest paths
Opsahl, T., Agneessens, F., & Skvoretz, J. V. (2010) · Social Networks · doi:10.1016/j.socnet.2010.03.006 · Cited by 3,734 · see citing works
A network theory of mental disorders
Borsboom, D. (2017) · World Psychiatry · doi:10.1002/wps.20375 · Cited by 3,482 · see citing works
Bergin and Garfield's Handbook of Psychotherapy and Behavior Change
Lambert, M. J. (2003) · Cited by 3,383 · see citing works
Molenaar, P. C. M. (2004) · Measurement: Interdisciplinary Research & Perspective · doi:10.1207/s15366359mea0204_1 · Cited by 1,943 · see citing works
Asymptotically distribution-free methods for the analysis of covariance structures.
Browne, M. (1984) · British Journal of Mathematical & Statistical Psychology · doi:10.1111/j.2044-8317.1984.tb00789.x · Cited by 1,890 · see citing works
Comorbidity: a network perspective
Cramer, A. O. J., Waldorp, L. J., van der Maas, H. L. J., & Borsboom, D. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x09991567 · Cited by 1,575 · see citing works
Brown, T. A., Campbell, L. A., Lehman, C. L., Grisham, J. R., & Mancill, R. B. (2001) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.110.4.585 · Cited by 1,562 · see citing works
Brown, T. A., Chorpita, B. F., & Barlow, D. H. (1998) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.107.2.179 · Cited by 1,400 · see citing works
Mental disorders as networks of problems: a review of recent insights
Fried, E. I., van Borkulo, C. D., Cramer, A. O. J., Boschloo, L., Schoevers, R. A., & Borsboom, D. (2016) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-016-1319-z · Cited by 1,066 · see citing works
Association of Symptom Network Structure With the Course of Depression
van Borkulo, C. D., Boschloo, L., Borsboom, D., Penninx, B. W. J. H., Waldorp, L., & Schoevers, R. A. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.2079 · Cited by 852 · see citing works
A Network Approach to Psychopathology: New Insights into Clinical Longitudinal Data
Bringmann, L. F., Vissers, N., Wichers, M., Geschwind, N., Kuppens, P., Peeters, F. P. M. L., Borsboom, D., & Tuerlinckx, F. (2013) · PLoS ONE · doi:10.1371/journal.pone.0060188 · Cited by 679 · see citing works
Brown, T. A., & Barlow, D. H. (2009) · Psychological Assessment · doi:10.1037/a0016608 · Cited by 639 · see citing works
Mental Disorders as Causal Systems: A Network Approach to Posttraumatic Stress Disorder
McNally, R. J., Robinaugh, D. J., Wu, G. W. Y., Wang, L., Deserno, M. K., & Borsboom, D. (2015) · Clinical Psychological Science · doi:10.1177/2167702614553230 · Cited by 592 · see citing works
A Dynamic Factor Model for the Analysis of Multivariate Time Series
Molenaar, P. C. M. (1985) · Psychometrika · doi:10.1007/bf02294246 · Cited by 480 · see citing works
Insel, T. R. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2008.540 · Cited by 459 · see citing works
Grund, F. (1979) · ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik · doi:10.1002/zamm.19790590235 · Cited by 428 · see citing works
Critical Slowing Down as a Personalized Early Warning Signal for Depression
Wichers, M., Groot, P. C., & Psychosystems, E. G. (2016) · Psychotherapy and Psychosomatics · doi:10.1159/000441458 · Cited by 399 · see citing works
Watson, D., & Naragon-Gainey, K. (2010) · Clinical Psychology Review · doi:10.1016/j.cpr.2009.11.002 · Cited by 349 · see citing works
Beck, A. T., & Steer, R. A. (1991) · Journal of Anxiety Disorders · doi:10.1016/0887-6185(91)90002-b · Cited by 331 · see citing works
Annual Research Review: Building a science of personalized intervention for youth mental health
Ng, M. Y., & Weisz, J. R. (2016) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12470 · Cited by 291 · see citing works
Taking the Measure of Anxiety and Depression Validity of the Reconstructed Hamilton Scales
Riskind, J. H., Beck, A. T., Brown, G. P., & Steer, R. A. (1987) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-198708000-00005 · Cited by 270 · see citing works
Toward a dynamic model of psychological assessment: Implications for personalized care.
Fisher, A. J. (2015) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000026 · Cited by 263 · see citing works
Self-citationEnhancing the Personalization of Psychotherapy With Dynamic Assessment and Modeling
Fisher, A. J., & Boswell, J. F. (2016) · Assessment · doi:10.1177/1073191116638735 · Cited by 205 · see citing works
Self-citationWigman, J. T. W., van Os, J., Borsboom, D., Wardenaar, K. J., Epskamp, S., Klippel, A., MERGE, Viechtbauer, W., Myin‐Germeys, I., & Wichers, M. (2015) · Psychological Medicine · doi:10.1017/s0033291715000331 · Cited by 200 · see citing works
Borkenau, P., & Ostendorf, F. (1998) · Journal of Research in Personality · doi:10.1006/jrpe.1997.2206 · Cited by 200 · see citing works
Bruss, G. S., GRUENBERG, A. M., Goldstein, R. D., & Barber, J. P. (1994) · Psychiatry Research · doi:10.1016/0165-1781(94)90110-4 · Cited by 194 · see citing works
Bos, F. M., Snippe, E., de Vos, S., Hartmann, J., Simons, C. J. P., van der Krieke, L., de Jonge, P., & Wichers, M. (2017) · Psychotherapy and Psychosomatics · doi:10.1159/000453583 · Cited by 176 · see citing works
Gates, K. M., Molenaar, P. C. M., Hillary, F. G., Ram, N., & Rovine, M. J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.117 · Cited by 171 · see citing works
Anger and Aggression in Psychiatric Outpatients
Posternak, M. A., & Zimmerman, M. A. (2002) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v63n0803 · Cited by 124 · see citing works
Anger problems across the anxiety disorders: findings from a population-based study
Hawkins, K. A., & Cougle, J. R. (2011) · Depression and Anxiety · doi:10.1002/da.20764 · Cited by 86 · see citing works
The Role of Anger in Generalized Anxiety Disorder
Deschênes, S. S., Dugas, M. J., Fracalanza, K., & Koerner, N. (2012) · Cognitive Behaviour Therapy · doi:10.1080/16506073.2012.666564 · Cited by 85 · see citing works
Development and validation of a computer-administered version of the Hamilton Rating Scale.
Kobak, K. A., Reynolds, W. M., & Greist, J. H. (1993) · Psychological Assessment · doi:10.1037/1040-3590.5.4.487 · Cited by 76 · see citing works
Fisher, A. J., Newman, M. G., & Molenaar, P. C. M. (2011) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0024069 · Cited by 69 · see citing works
Self-citationDistinguishing anxiety and depression: Reexamination of the reconstructed Hamilton scales.
Moras, K., Nardo, P. A. D., & Barlow, D. H. (1992) · Psychological Assessment · doi:10.1037/1040-3590.4.2.224 · Cited by 62 · see citing works
Naragon-Gainey, K., Prenoveau, J. M., Brown, T. A., & Zinbarg, R. E. (2016) · Journal of Abnormal Psychology · doi:10.1037/abn0000197 · Cited by 54 · see citing works
Clasen, P. C., Fisher, A. J., & Beevers, C. G. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129774 · Cited by 37 · see citing works
Self-citationAge differences in symbol-digit substitution task performance
Gilmore, G. C., Royer, F. L., & Gruhn, J. J. (1983) · Journal of Clinical Psychology · doi:10.1002/1097-4679(198301)39:1 · Cited by 37 · see citing works
Epskamp, S., Waldorp, L., Mõttus, R., & Borsboom, D. (2016) · arXiv (Cornell University) · Cited by 37 · see citing works
Fisher, A. J., & Woodward, S. H. (2013) · Psychophysiology · doi:10.1111/psyp.12148 · Cited by 27 · see citing works
Self-citationBosley, H. G., Fisher, A. J., & Taylor, C. B. (2018) · Psychotherapy Research · doi:10.1080/10503307.2016.1233366 · Cited by 22 · see citing works
Self-citationThe Role of Anger/Hostility in Treatment-Resistant Depression
Fisher, L. B., D, M. F. M., Doros, G. D., Alpert, J. E., Henry, M. W., Huz, I., & Freeman, M. P. (2015) · The Journal of Nervous and Mental Disease · doi:10.1097/nmd.0000000000000364 · Cited by 21 · see citing works
The effects of respiratory sinus arrhythmia on anger reactivity and persistence in major depression
Ellis, A. J., Shumake, J., & Beevers, C. G. (2016) · Psychophysiology · doi:10.1111/psyp.12722 · Cited by 14 · see citing works
Rubel, J. A., & Lutz, W. (2017) · Springer eBooks · doi:10.1007/978-3-319-50675-3_13 · Cited by 7 · see citing works
Self-citationNemeroff (1998) · doi:10.1002/(sici)1520-6394(1998)8:1+
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A tutorial on regularized partial correlation networks
Epskamp, S., & Fried, E. I. (2018) · Psychological Methods · doi:10.1037/met0000167 · Cited by 2,918 · see citing works
Lack of group-to-individual generalizability is a threat to human subjects research
Fisher, A. J., Medaglia, J. D., & Jeronimus, B. F. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1711978115 · Cited by 1,099 · see citing works
Self-citationEpskamp, S., van Borkulo, C. D., van der Veen, D. C., Servaas, M. N., Isvoranu, A.-M., Riese, H., & Cramer, A. O. J. (2018) · Clinical Psychological Science · doi:10.1177/2167702617744325 · Cited by 448 · see citing works
Lutz, W., Rubel, J. A., Schwartz, B., Schilling, V., & Deisenhofer, A.-K. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2019.103438 · Cited by 196 · see citing works
Self-citationColombo, D., Fernández-Álvarez, J., Patané, A., Semonella, M., Kwiatkowska, M., García-Palacios, A., Cipresso, P., Riva, G., & Botella, C. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8040465 · Cited by 194 · see citing works
Foundations of idiographic methods in psychology and applications for psychotherapy
Piccirillo, M. L., & Rodebaugh, T. L. (2019) · Clinical Psychology Review · doi:10.1016/j.cpr.2019.01.002 · Cited by 160 · see citing works
Bastiaansen, J. A., Kunkels, Y. K., Blaauw, F., Boker, S. M., Ceulemans, E., Chen, M., Chow, S.-M., de Jonge, P., Emerencia, A. C., Epskamp, S., et al. (2019) · doi:10.31234/osf.io/c8vp7 · Cited by 158 · see citing works
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Fisher, A. J., Bosley, H. G., Fernandez, K. C., Reeves, J. W., Soyster, P. D., Diamond, A. E., & Barkin, J. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2019.01.010 · Cited by 156 · see citing works
Self-citationJacobson, N. C., & Chung, Y. J. (2020) · Sensors · doi:10.3390/s20123572 · Cited by 139 · see citing works
Smith, K. E., Mason, T. B., Crosby, R. D., Cao, L., Leonard, R. C., Wetterneck, C. T., Smith, B. E. R., Farrell, N. R., Riemann, B. C., Wonderlich, S. A., et al. (2019) · Psychological Medicine · doi:10.1017/s0033291718000867 · Cited by 101 · see citing works
Burger, J., van der Veen, D. C., Robinaugh, D. J., Quax, R., Riese, H., Schoevers, R. A., & Epskamp, S. (2020) · BMC Medicine · doi:10.1186/s12916-020-01558-1 · Cited by 99 · see citing works
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Bentley, K. H., Kleiman, E. M., Elliott, G., Huffman, J. C., & Nock, M. K. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2018.11.017 · Cited by 88 · see citing works
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- Authors
- Fisher, A. J., Reeves, J. W., Lawyer, G., Medaglia, J. D., & Rubel, J. A.
- Affiliations
- University of California, Berkeley (US)
- University of Pennsylvania (US)
- Universität Trier (DE)
- Venue
- Journal of Abnormal Psychology
- Published
- 2017-11
- Volume
- 126
- Issue
- 8
- Pages
- 1044-1056
- ISSN
- 0021-843X (ISSN-L)
- 1939-1846
- OpenAlex
- W2770243687
- Cited by
- 385
- References
- 53
- Citations by year
- 2026: 25 · 2025: 39 · 2024: 55 · 2023: 51 · 2022: 41 · 2021: 51 · 2020: 58 · 2019: 38 · 2018: 24 · 2017: 2 · 2014: 1
- FWCI
- 43.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Abnormal Psychology (publishedVersion)
- PubMed (publishedVersion)
- OSF Preprints (OSF Preprints) (submittedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Clinical Psychology › Personality Disorders and Psychopathology
- Keywords
- generalized anxiety disorder, major depressive disorder, anger, worry, positive and negative mood, symptom centrality
- MeSH terms
- Adult, Affect, Anger, Anxiety Disorders, Major Depressive Disorder, Female, Humans, Individuality, Male, Middle Aged, Models, Psychological, Psychopathology, Comorbidity, Multivariate Analysis
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