Risk Ahead: Actigraphy-Based Early-Warning Signals of Increases in Depressive Symptoms During Antidepressant Discontinuation

Article Psychology, Clinical

The Exponentially Weighted Moving Average Procedure for Detecting Changes in Intensive Longitudinal Data in Psychological Research in Real-Time: A Tutorial Showcasing Potential Applications

Arnout C. Smit et al.

Summary: This paper provides a tutorial on using the exponentially weighted moving average (EWMA) procedure for real-time monitoring of individual-specific changes in psychology, and demonstrates its value in various potential applications.

ASSESSMENT (2023)

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Article Health Care Sciences & Services

Transitions in depression: if, how, and when depressive symptoms return during and after discontinuing antidepressants

Arnout C. Smit et al.

Summary: The purpose of this study is to explore the meaningful changes in individual patients who stop taking antidepressant medication. The results show that there are differences between macro-level and micro-level changes in depressive symptoms, highlighting the importance of combining qualitative and quantitative assessments.

QUALITY OF LIFE RESEARCH (2023)

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Article Psychology, Clinical

Real-time monitoring of increases in restlessness to assess idiographic risk of recurrence of depressive symptoms

Arnout C. Smit et al.

Summary: This study used personalized modeling to predict recurrence of depressive symptoms based on the increase in restlessness. The results showed that an increase in restlessness was a common prodromal symptom of depression, and it could be detected at least a month before the onset of core symptoms. The sensitivity and specificity of this method were at least as good as traditional prognostic models based on patient characteristics. This personalized approach provides real-time insight into early signs of depression, allowing for timely intervention.

PSYCHOLOGICAL MEDICINE (2023)

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Article Psychology, Clinical

Detecting Impending Symptom Transitions Using Early-Warning Signals in Individuals Receiving Treatment for Depression

Marieke A. Helmich et al.

Summary: Drawing on dynamical systems theory, this study investigated whether early-warning signals in momentary affect could predict transitions to lower levels of depressive symptoms in individuals undergoing therapy for depression. The results showed that rising autocorrelation was found in 89% of individuals with transitions, and in a consistently higher proportion of the separate variables, compared to those without transitions. Rising variance was found for a few individuals, both preceding transitions and in individuals without transitions. In addition, some participants showed critical slowing down.

CLINICAL PSYCHOLOGICAL SCIENCE (2022)

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Article Psychiatry

Association between circadian activity rhythms and mood episode relapse in bipolar disorder: a 12-month prospective cohort study

Yuichi Esaki et al.

Summary: The study found significant associations between circadian activity rhythms and mood episode relapses in patients with bipolar disorder.

TRANSLATIONAL PSYCHIATRY (2021)

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Article Psychology, Multidisciplinary

Detecting Mean Changes in Experience Sampling Data in Real Time: A Comparison of Univariate and Multivariate Statistical Process Control Methods

Evelien Schat et al.

Summary: This study focuses on detecting early warning signals of developing mood disorders using ESM data. The performance of six SPC procedures was evaluated on both actual affective ESM data and simulated data, with results indicating that (M)EWMA and (M)CUSUM procedures outperformed others, supporting the use of day averages for monitoring. Recommendations for optimizing SPC performance when monitoring ESM data and suggestions for future research directions were provided based on the findings.

PSYCHOLOGICAL METHODS (2021)

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Article Psychiatry

Efficacy of early warning signals and spectral periodicity for predicting transitions in bipolar patients: An actigraphy study

Yoram K. Kunkels et al.

Summary: Early-warning signals have been utilized to predict transitions in various research fields, including predicting mood transitions in bipolar disorder patients. Actigraphy data and spectral analysis showed promise in predicting upcoming transitions in mood episodes, though further studies are needed to improve effectiveness in identifying upcoming bipolar episode onsets.

TRANSLATIONAL PSYCHIATRY (2021)

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Article Medicine, General & Internal

Experienced Burden of and Adherence to Smartphone-Based Ecological Momentary Assessment in Persons with Affective Disorders

Claire R. van Genugten et al.

JOURNAL OF CLINICAL MEDICINE (2020)

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Article Psychiatry

Level and timing of physical activity during normal daily life in depressed and non-depressed individuals

Olga Minaeva et al.

TRANSLATIONAL PSYCHIATRY (2020)

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Review Psychiatry

Single-Subject Research in Psychiatry: Facts and Fictions

Marij Zuidersma et al.

FRONTIERS IN PSYCHIATRY (2020)

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Article Psychology, Clinical

Sleep, circadian rhythm, and physical activity patterns in depressive and anxiety disorders: A 2-week ambulatory assessment study

Sonia Difrancesco et al.

DEPRESSION AND ANXIETY (2019)

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Letter Psychiatry

Increasing Restlessness Signals Impending Increase in Depressive Symptoms More than 2 Months before It Happens in Individual Patients

Arnout C. Smit et al.

PSYCHOTHERAPY AND PSYCHOSOMATICS (2019)

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Article Sport Sciences

ACTman: Automated preprocessing and analysis of actigraphy data

Yoram K. Kunkels et al.

JOURNAL OF SCIENCE AND MEDICINE IN SPORT (2019)

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Article Medicine, General & Internal

Feature Extraction in Motor Activity Signal: Towards a Depression Episodes Detection in Unipolar and Bipolar Patients

Laura A. Zanella-Calzada et al.

DIAGNOSTICS (2019)

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Review Psychology, Clinical

Risk factors for relapse and recurrence of depression in adults and how they operate: A four-phase systematic review and meta-synthesis

J. E. J. Buckman et al.

CLINICAL PSYCHOLOGY REVIEW (2018)

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Review Clinical Neurology

Prevention of Relapse and Recurrence in Adults with Major Depressive Disorder: Systematic Review and Meta-Analyses of Controlled Trials

Kang Sim et al.

INTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY (2016)

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Letter Psychiatry

Critical Slowing Down as a Personalized Early Warning Signal for Depression

Marieke Wichers et al.

PSYCHOTHERAPY AND PSYCHOSOMATICS (2016)

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Article Multidisciplinary Sciences

Critical slowing down as early warning for the onset and termination of depression

Ingrid A. van de Leemput et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2014)

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Article Multidisciplinary Sciences

Antidepressant Utilization and Suicide in Europe: An Ecological Multi-National Study

Ricardo Gusmao et al.

PLOS ONE (2013)

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Article Ecology

Robustness of variance and autocorrelation as indicators of critical slowing down

Vasilis Dakos et al.

ECOLOGY (2012)

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Article Multidisciplinary Sciences

Methods for Detecting Early Warnings of Critical Transitions in Time Series Illustrated Using Simulated Ecological Data

Vasilis Dakos et al.

PLOS ONE (2012)

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Review Clinical Neurology

Psychomotor retardation in depression: Biological underpinnings, measurement, and treatment

Jeylan S. Buyukdura et al.

PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY (2011)

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Article Psychiatry

Meta-analysis of relapse prevention antidepressant trials in depressive disorders

Paul Glue et al.

AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY (2010)

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Review Multidisciplinary Sciences

Early-warning signals for critical transitions

Marten Scheffer et al.

NATURE (2009)

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Article Multidisciplinary Sciences

Turning back from the brink: Detecting an impending regime shift in time to avert it

Reinette Biggs et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2009)

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Review Psychiatry

Longitudinal changes of day-time and night-time gross motor activity in clinical responders and non-responders of major depression

Doron Todder et al.

WORLD JOURNAL OF BIOLOGICAL PSYCHIATRY (2009)

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Review Psychology, Clinical

Risk for recurrence in depression

Stephanie L. Burcusa et al.

CLINICAL PSYCHOLOGY REVIEW (2007)

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Article Computer Science, Artificial Intelligence

An introduction to ROC analysis

Tom Fawcett

PATTERN RECOGNITION LETTERS (2006)

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Article Medicine, General & Internal

Relapse prevention with antidepressant drug treatment in depressive disorders: a systematic review

JR Geddes et al.

LANCET (2003)

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Article Ecology

A simple correction for multiple comparisons in interval mapping genome scans

JM Cheverud

HEREDITY (2001)

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Article Mathematics, Interdisciplinary Applications

Sample size requirements for estimating Pearson, Kendall and Spearman correlations

DG Bonett et al.

PSYCHOMETRIKA (2000)

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Risk Ahead: Actigraphy-Based Early-Warning Signals of Increases in Depressive Symptoms During Antidepressant Discontinuation

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