Background: The experience sampling methodology (ESM) is increasingly being suggested as a clinic... more Background: The experience sampling methodology (ESM) is increasingly being suggested as a clinical tool in mental health care, as it offers ecologically valid, microlevel information on psychopathological processes. Patients and clinicians have recommended that applications of ESM should be personalized and integrated into the existing clinical process, but there is still much uncertainty about how implementation may look like. Objective: To provide an example of personalized ESM assessment and feedback being integrated into psychotherapy for depression, specifically looking at the collaborative use of ESM in case conceptualization.Methods: George, a 27-year-old man diagnosed with depression, and his therapist participated in the Therap-i randomized controlled trial, which investigates the efficacy of a personalized ESM module added to psychotherapy. Together, they created a personalized ESM questionnaire, aiming to capture their hypotheses and questions regarding George’s case con...
Marek et al. analyzed three very large magnetic resonance imaging (MRI) datasets and concluded th... more Marek et al. analyzed three very large magnetic resonance imaging (MRI) datasets and concluded that thousands of participants are necessary to ensure replicable results in “brain-wide associations studies,” which they defined as “studies of the associations between common inter-individual variability in human brain structure/function and cognition or psychiatric symptomatology.” This conclusion overgeneralizes the implications of their findings and is likely to have an unwarranted chilling effect on neuroimaging research focused on individual differences, preventing good research with samples in the hundreds from being funded and conducted. To fend off these negative consequences, we explain why their conclusion is not fully justified, discuss methods that can yield larger effects, and suggest practical guidelines for sample size, recognizing the potential utility of samples in the hundreds.
Background Major depressive disorder (MDD) is a highly prevalent mental disorder with large disea... more Background Major depressive disorder (MDD) is a highly prevalent mental disorder with large disease burden, high levels of relapse or persistence, and overall suboptimal outcomes of protocolized pharmacological and psychotherapeutic treatments. There is an urgent need to improve treatment effectiveness, possibly through systematic treatment personalization. In psychotherapeutic treatments this can be achieved by case conceptualization. To support this process, we developed the Therap-i module, which consists of personalized Experienced Sampling Methodology (ESM) and feedback. The Therap-i module is integrated into outpatient psychotherapeutic treatment as usual (TAU) for depression. The study aim is to investigate the efficacy of the Therap-i module in decreasing symptomatology in unresponsive or relapsing patients diagnosed with MDD. We hypothesize that the Therap-i module will contribute to TAU by i) decreasing depressive symptoms, and ii) improving general functioning, therapeuti...
Major depressive disorder (MDD) is widely prevalent and severely disabling, mainly due to its rec... more Major depressive disorder (MDD) is widely prevalent and severely disabling, mainly due to its recurrent nature. A better understanding of the mechanisms underlying MDD-recurrence may help to identify high-risk patients and to improve the preventive treatment they need. MDD-recurrence has been considered from various levels of perspective including symptomatology, affective neuropsychology, brain circuitry and endocrinology/metabolism. However, MDD-recurrence understanding is limited, because these perspectives have been studied mainly in isolation, cross-sectionally in depressed patients. Therefore, we aim at improving MDD-recurrence understanding by studying these four selected perspectives in combination and prospectively during remission. In a cohort design, we will include 60 remitted, unipolar, unmedicated, recurrent MDD-participants (35-65 years) with ≥2 MDD-episodes. At baseline, we will compare the MDD-participants with 40 matched controls. Subsequently, we will follow-up th...
Associations Between Daily Affective Instability and Connectomics in Functional Subnetworks in Re... more 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. Published in: Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Disclaimer/Complaints regulations If you believe that digital publication of certain material inf... more Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.
Het doel van dit proefschrift is het onderzoeken van de neurale mechanismen, die ten grondslag li... more Het doel van dit proefschrift is het onderzoeken van de neurale mechanismen, die ten grondslag liggen aan neuroticisme, om beter te begrijpen waarom hoog scorende mensen op deze persoonlijkheidstrek kwetsbaarder zijn om psychiatrische stoornissen te ontwikkelen. Om dit doel te bereiken, hebben we meta-analytische, neuroimaging en genetic imaging studies uitgevoerd. Tijdens rust zien we al dat de hersenen van hoog scorende mensen op neuroticisme een andere functionele netwerkorganisatie hebben, dan die van laag scorende mensen. Om precies te zijn, laten we zien dat subnetwerken gerelateerd aan het verwerken van emoties een prominentere rol spelen binnen het netwerk van deze hoog scorende mensen, dan subnetwerken die deze emoties juist moeten reguleren en cognitief controleren. Dit zien we ook terug in de resultaten van de meta-analyse en de taken die wij hebben onderzocht. Verder vonden we ook dat genen wellicht een effect hebben op de functionele netwerkorganisatie, tevens in associ...
Impairments in reward-related learning often persist following remission from major depression. G... more Impairments in reward-related learning often persist following remission from major depression. Geugies et al. compare temporal difference error-related BOLD activity during Pavlovian conditioning in unmedicated patients in remission from recurrent depression versus controls. Abnormalities in reward-related learning signals in the ventral tegmental area are associated with anhedonia in remitted patients.
We have investigated two common questions related to estimating graphical VAR models. First, we h... more We have investigated two common questions related to estimating graphical VAR models. First, we have investigated if linear detrending of data prior to analyzing network models should be conducted, and second we have investigated how to best handle irregular spacing of observations due to missing observations throughout the nights. In both simulation studies, graphical VAR models with 7 nodes were generated as detailed by Yin & Li (2011, page 8), using a constant of 1.1 instead of 1.5 and simulating temporal and contemporaneous networks that were 75% sparse (In both networks each possible edge had a probability of 25% to be included). Generating such models can be done using the R function randomGVARmodel from the graphicalVAR package (Epskamp, 2017). Subsequently the VAR model can be simulated using the graphicalVARsim function. All simulations were performed using graphicalVAR version 0.2.1 and R version 3.3.1 on a Linux high performance cluster. We investigate the sensitivity (tr...
Background: The experience sampling methodology (ESM) is increasingly being suggested as a clinic... more Background: The experience sampling methodology (ESM) is increasingly being suggested as a clinical tool in mental health care, as it offers ecologically valid, microlevel information on psychopathological processes. Patients and clinicians have recommended that applications of ESM should be personalized and integrated into the existing clinical process, but there is still much uncertainty about how implementation may look like. Objective: To provide an example of personalized ESM assessment and feedback being integrated into psychotherapy for depression, specifically looking at the collaborative use of ESM in case conceptualization.Methods: George, a 27-year-old man diagnosed with depression, and his therapist participated in the Therap-i randomized controlled trial, which investigates the efficacy of a personalized ESM module added to psychotherapy. Together, they created a personalized ESM questionnaire, aiming to capture their hypotheses and questions regarding George’s case con...
Marek et al. analyzed three very large magnetic resonance imaging (MRI) datasets and concluded th... more Marek et al. analyzed three very large magnetic resonance imaging (MRI) datasets and concluded that thousands of participants are necessary to ensure replicable results in “brain-wide associations studies,” which they defined as “studies of the associations between common inter-individual variability in human brain structure/function and cognition or psychiatric symptomatology.” This conclusion overgeneralizes the implications of their findings and is likely to have an unwarranted chilling effect on neuroimaging research focused on individual differences, preventing good research with samples in the hundreds from being funded and conducted. To fend off these negative consequences, we explain why their conclusion is not fully justified, discuss methods that can yield larger effects, and suggest practical guidelines for sample size, recognizing the potential utility of samples in the hundreds.
Background Major depressive disorder (MDD) is a highly prevalent mental disorder with large disea... more Background Major depressive disorder (MDD) is a highly prevalent mental disorder with large disease burden, high levels of relapse or persistence, and overall suboptimal outcomes of protocolized pharmacological and psychotherapeutic treatments. There is an urgent need to improve treatment effectiveness, possibly through systematic treatment personalization. In psychotherapeutic treatments this can be achieved by case conceptualization. To support this process, we developed the Therap-i module, which consists of personalized Experienced Sampling Methodology (ESM) and feedback. The Therap-i module is integrated into outpatient psychotherapeutic treatment as usual (TAU) for depression. The study aim is to investigate the efficacy of the Therap-i module in decreasing symptomatology in unresponsive or relapsing patients diagnosed with MDD. We hypothesize that the Therap-i module will contribute to TAU by i) decreasing depressive symptoms, and ii) improving general functioning, therapeuti...
Major depressive disorder (MDD) is widely prevalent and severely disabling, mainly due to its rec... more Major depressive disorder (MDD) is widely prevalent and severely disabling, mainly due to its recurrent nature. A better understanding of the mechanisms underlying MDD-recurrence may help to identify high-risk patients and to improve the preventive treatment they need. MDD-recurrence has been considered from various levels of perspective including symptomatology, affective neuropsychology, brain circuitry and endocrinology/metabolism. However, MDD-recurrence understanding is limited, because these perspectives have been studied mainly in isolation, cross-sectionally in depressed patients. Therefore, we aim at improving MDD-recurrence understanding by studying these four selected perspectives in combination and prospectively during remission. In a cohort design, we will include 60 remitted, unipolar, unmedicated, recurrent MDD-participants (35-65 years) with ≥2 MDD-episodes. At baseline, we will compare the MDD-participants with 40 matched controls. Subsequently, we will follow-up th...
Associations Between Daily Affective Instability and Connectomics in Functional Subnetworks in Re... more 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. Published in: Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Disclaimer/Complaints regulations If you believe that digital publication of certain material inf... more Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.
Het doel van dit proefschrift is het onderzoeken van de neurale mechanismen, die ten grondslag li... more Het doel van dit proefschrift is het onderzoeken van de neurale mechanismen, die ten grondslag liggen aan neuroticisme, om beter te begrijpen waarom hoog scorende mensen op deze persoonlijkheidstrek kwetsbaarder zijn om psychiatrische stoornissen te ontwikkelen. Om dit doel te bereiken, hebben we meta-analytische, neuroimaging en genetic imaging studies uitgevoerd. Tijdens rust zien we al dat de hersenen van hoog scorende mensen op neuroticisme een andere functionele netwerkorganisatie hebben, dan die van laag scorende mensen. Om precies te zijn, laten we zien dat subnetwerken gerelateerd aan het verwerken van emoties een prominentere rol spelen binnen het netwerk van deze hoog scorende mensen, dan subnetwerken die deze emoties juist moeten reguleren en cognitief controleren. Dit zien we ook terug in de resultaten van de meta-analyse en de taken die wij hebben onderzocht. Verder vonden we ook dat genen wellicht een effect hebben op de functionele netwerkorganisatie, tevens in associ...
Impairments in reward-related learning often persist following remission from major depression. G... more Impairments in reward-related learning often persist following remission from major depression. Geugies et al. compare temporal difference error-related BOLD activity during Pavlovian conditioning in unmedicated patients in remission from recurrent depression versus controls. Abnormalities in reward-related learning signals in the ventral tegmental area are associated with anhedonia in remitted patients.
We have investigated two common questions related to estimating graphical VAR models. First, we h... more We have investigated two common questions related to estimating graphical VAR models. First, we have investigated if linear detrending of data prior to analyzing network models should be conducted, and second we have investigated how to best handle irregular spacing of observations due to missing observations throughout the nights. In both simulation studies, graphical VAR models with 7 nodes were generated as detailed by Yin & Li (2011, page 8), using a constant of 1.1 instead of 1.5 and simulating temporal and contemporaneous networks that were 75% sparse (In both networks each possible edge had a probability of 25% to be included). Generating such models can be done using the R function randomGVARmodel from the graphicalVAR package (Epskamp, 2017). Subsequently the VAR model can be simulated using the graphicalVARsim function. All simulations were performed using graphicalVAR version 0.2.1 and R version 3.3.1 on a Linux high performance cluster. We investigate the sensitivity (tr...
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Papers by Michelle Servaas