Academic interests
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Individual change processes in psychopathology
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Affect dynamics
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Time scales
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Ecological momentary assessments (EMA) / Experience sampling method (ESM) / Ambulatory assessment (AA)
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Trajectories of symptom improvement over time
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Dynamical systems theory
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Intensive longitudinal data collection and analysis
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Methods for defining and predicting clinically relevant changes
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Psychotherapy research
Projects
Part of the COPE research team.
My research is aimed at improving our understanding of different forms of change in psychopathology, such as mood and symptom improvement in intensive longitudinal data, measured with Ecological Momentary Assessments (EMA). Currently, my work focuses on examining the trajectories of individual time series and drawing on complex dynamical systems theory and psychotherapy research to quantify relevant shifts and predictors of treatment response.
Background
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PhD conducted at the University of Groningen, University Medical Center Groningen, as part of the Interdisciplinary Center Psychopathology and Emotion regulation at the Department of Psychiatry (2016-2021).
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My PhD research was part of the Transitions in Depression (TRANS-ID) Research project, which focused on applying a complex dynamical systems approach to the study of intra-day dynamics as predictors of transitions in symptoms of depression.
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My subproject, TRANS-ID Recovery, investigated destabilization prior of symptom improvement within the course of psychotherapy.
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MScRes in Cognitive and Clinical Neuroscience with a specialization in Psychopathology from Maastricht University (2013-2015).
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Research internship at King's College London's Institute of Psychiatry, Psychology & Neuroscience (2015).
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BA in Liberal arts & sciences from University College Utrecht, Utrecht, The Netherlands (2010-2013), with a major in Psychology and minors in Philosophy and Methods & Statistics.
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Exchange semester at Nanyang Technological University in Singapore, Singapore (2012).
Tags:
Psychopathology,
psychotherapy,
dynamical systems,
ecological momentary assessment (EMA),
intensive longitudinal data,
time series,
data analysis,
Complex Systems,
Affect,
idiographic research,
symptom change
Publications
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Helmich, Marieke A.; Olthof, Merlijn; Oldehinkel, Albertine J; Wichers, Marieke; Bringmann, Laura & Smit, Arnout
(2021).
Early warning signals and critical transitions: challenges and recommendations.
Current Opinion in Psychology.
ISSN 2352-250X.
41(October 2021),
p. 51–58.
doi:
10.1016/j.copsyc.2021.02.008.
Show summary
Empirical evidence is mounting that monitoring momentary experiences for the presence of early warning signals (EWS) may allow for personalized predictions of meaningful symptom shifts in psychopathology. Studies aiming to detect EWS require intensive longitudinal measurement designs that center on individuals undergoing change. We recommend that researchers: (a) define criteria for relevant symptom shifts a priori to allow specific hypothesis testing; (b) balance the observation period length and high-frequency measurements with participant burden by testing ambitious designs with pilot studies; (c) choose variables that are meaningful to their patient group and facilitate replication by others. Thoroughly considered designs are necessary to assess the promise of EWS as a clinical tool to detect, prevent or encourage impending symptom changes in psychopathology.
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Helmich, Marieke A.; Snippe, Evelien; Kunkels, Yoram; Riese, Harriette; Smit, Arnout & Wichers, Marieke
(2020).
Transitions in Depression (TRANS-ID) Recovery: Study protocol for a repeated intensive longitudinal n = 1 study design to search for personalized early warning signals of critical transitions towards improvement in depression.
PsyArXiv.
doi:
10.31234/osf.io/fertq.
Show summary
Aim. The Transitions in Depression (TRANS-ID) Recovery study has gathered intensive longitudinal data in a group of individuals with depression during psychological therapy. The study was designed to gather high-resolution time series to monitor individual change processes in great detail, to allow for personalized predictions of shifts in depressive symptoms.
Method. The data collection combined experience sampling methods to assess momentary affect and behavior (five 27-item questionnaires a day, for four months), ambulatory assessment of physical activity and heart rate (continuous, for four months), and depression symptom assessments (weekly for six months, and monthly for the six months thereafter, twelve months total). In addition to a baseline diagnostic interview, baseline questionnaires covered a range of constructs, including overall psychopathology symptoms, medication use, psychological treatment history, alexithymia, life events, quality of life, and chronotype. After the four-month ambulatory assessment period, a personal report of the experience sampling data was given to each participant, and a semi-structured qualitative interview was conducted to evaluate participants’ own retrospective experience of symptom changes during the research period.
Conclusion. The TRANS-ID Recovery study procedures and materials are described in detail in this document. The study protocol was approved by the Medical Ethical Committee of the University Medical Center Groningen (reg. number: NL58848.04.16).
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Olthof, Merlijn; Hasselman, Fred; Strunk, Guido; van Rooij, Marieke; Aas, Benjamin & Helmich, Marieke A.
[Show all 8 contributors for this article]
(2020).
Critical fluctuations as an early-warning signal for sudden gains and losses in patients receiving psychotherapy for mood disorders.
Clinical Psychological Science.
ISSN 2167-7026.
8(1),
p. 25–35.
doi:
10.1177/2167702619865969.
Show summary
Whereas sudden gains and losses (large shifts in symptom severity) in patients receiving psychotherapy appear abrupt and hence may seem unexpected, hypotheses from complex-systems theory suggest that sudden gains and losses are actually preceded by certain early-warning signals (EWSs). We tested whether EWSs in patients’ daily self-ratings of the psychotherapeutic process predicted future sudden gains and losses. Data were collected from 328 patients receiving psychotherapy for mood disorders who completed daily self-ratings about their therapeutic process using the Therapy Process Questionnaire (TPQ). Sudden gains and losses were classified from the Problem Intensity scale of the TPQ. The other items of the TPQ were used to compute the EWSs. EWSs predicted an increased probability for sudden gains and losses in a 4-day predictive window. These results show that EWSs can be used for real-time prediction of sudden gains and losses in clinical practice.
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Helmich, Marieke A.; Wichers, Marieke; Olthof, Merlijn; Strunk, Guido; Aas, Benjamin & Aichhorn, Wolfgang
[Show all 8 contributors for this article]
(2020).
Sudden gains in day-to-day change: revealing nonlinear patterns of individual improvement in depression.
Journal of Consulting and Clinical Psychology.
ISSN 0022-006X.
88(2),
p. 119–127.
doi:
10.1037/ccp0000469.
Show summary
OBJECTIVE: We examined individual overall trajectories of change and the occurrence of sudden gains in daily self-rated problem severity and the relation of these patterns to treatment response.
METHOD: Mood disorder patients (N = 329, mean age = 44, 55% women) completed daily self-ratings about the severity of their complaints as a standard part of treatment, using the Therapy Process Questionnaire (TPQ). Per individual, the best-fitting defined (linear, log-linear, 1-step) trajectory was tested for significance: for change over time, and for specificity of the best-fitting trajectory. Two-hundred and three cases had ICD-10 Symptom Rating (ISR) depression scores posttreatment: a score ≤1 identified 114 treatment responders. Relation to response was examined for sudden gains and type of change trajectory.
RESULTS: 138 cases (42%) had a significant decrease in problem severity, of which 54 cases (16%) had a defined trajectory: 50 cases with one-step improvement, and 4 with a linear improvement in daily problem severity. Sudden gains occurred in 28% of the total sample, and within 58% of improvement patterns. Specifically, sudden gains occurred in 68% of significant 1-step trajectories and 25% of the linear cases. Sudden gains and nonspecific change trajectories were significantly more frequent for treatment responders.
CONCLUSIONS: At the day-level, patterns of improvement are nonlinear for most patients. Sudden gains occur within various forms of overall change and are associated with treatment response. Clinically relevant improvements in depression occur both gradually and abruptly, and this finding allows for the possibility that the remission process functions according to dynamical systems principles.
View all works in Cristin
Published Jan. 18, 2022 8:30 AM
- Last modified June 6, 2022 3:25 PM