Clinical relevance of depressive symptom improvement in bipolar I depressed patients

2006 ◽  
Vol 92 (2-3) ◽  
pp. 261-266 ◽  
Author(s):  
Doug Williamson ◽  
Eileen Brown ◽  
Roy H. Perlis ◽  
Jonna Ahl ◽  
Robert W. Baker ◽  
...  
Keyword(s):  
Depressive Symptom ◽  
Clinical Relevance ◽  
Symptom Improvement ◽  
Depressed Patients

scholarly journals Network changes associated with transdiagnostic depressive symptom improvement following cognitive behavioral therapy in MDD and PTSD

2018 ◽  
Vol 23 (12) ◽  
pp. 2314-2323 ◽  
Author(s):  
Zhen Yang ◽  
Shi Gu ◽  
Nicolas Honnorat ◽  
Kristin A. Linn ◽  
Russell T. Shinohara ◽  
...  
Keyword(s):  
Depressive Symptom ◽  
Cognitive Behavioral Therapy ◽  
Behavioral Therapy ◽  
Cognitive Behavioral ◽  
Symptom Improvement

scholarly journals Explaining variability in therapist adherence and patient depressive symptom improvement: The role of therapist interpersonal skills and patient engagement

2018 ◽  
Vol 26 (1) ◽  
pp. 84-93
Author(s):  
Evelien Snippe ◽  
Maya J. Schroevers ◽  
K. Annika Tovote ◽  
Robbert Sanderman ◽  
Paul M.G. Emmelkamp ◽  
...  
Keyword(s):  
Depressive Symptom ◽  
Patient Engagement ◽  
Interpersonal Skills ◽  
Symptom Improvement ◽  
Therapist Adherence

Brain Imaging Correlates of Depressive Symptom Severity and Predictors of Symptom Improvement After Antidepressant Treatment

2007 ◽  
Vol 62 (5) ◽  
pp. 407-414 ◽  
Author(s):  
Chi-Hua Chen ◽  
Khanum Ridler ◽  
John Suckling ◽  
Steve Williams ◽  
Cynthia H.Y. Fu ◽  
...  
Keyword(s):  
Depressive Symptom ◽  
Brain Imaging ◽  
Symptom Severity ◽  
Antidepressant Treatment ◽  
Symptom Improvement ◽  
Depressive Symptom Severity

scholarly journals Detecting impending symptom transitions using early warning signals in individuals receiving treatment for depression

2021 ◽  
Author(s):  
Marieke A. Helmich ◽  
Arnout Christiaan Smit ◽  
Laura Francina Bringmann ◽  
Marieke Schreuder ◽  
Albertine Oldehinkel ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Depressive Symptom ◽  
Early Warning ◽  
Psychological Treatment ◽  
Prediction Method ◽  
Symptom Improvement ◽  
Moving Window ◽  
Warning Signals ◽  
Early Warning Signals ◽  
Window Method

Background: The path to depressive symptom improvement during therapy is often complex, as many individuals experience periods of instability and discontinuous symptom change. If the process of remission follows complex dynamic systems principles, early warning signals (EWS) may precede such depressive symptom transitions. Aims: We aimed to test whether EWS, in the form of rises in lag-1 autocorrelation and variance, occur in momentary affect time series preceding transitions towards lower levels of depressive symptoms during therapy. We also investigated the presence of EWS in patients without symptom transitions.Methods: In a sample of 41 depressed individuals who were starting psychological treatment, positive affect and negative affect (high and low arousal) were measured five times a day using ecological momentary assessments (EMA) for four months (521 observations per individual on average; yielding 25,197 observations in total), and depressive symptoms were assessed weekly over six months. We used a moving window method and time-varying autoregressive generalized additive modeling (TV-AR GAM) to determine whether EWS occurred in these momentary affect measures, within-persons.Results: For the moving-window autocorrelation, 89% of individuals with transitions showed at least one EWS in one of the variables (versus 62.5% in the no-transition group), and the proportion of EWS in the separate variables was consistently higher (~44% across affect measures) than for individuals without transitions (~27%). Rising variance was found for few individuals, both preceding transitions (~11%) and for individuals without a transition (~12%).Conclusions: The process of symptom remission showed critical slowing down in at least part of our sample. Our findings indicate that EWS are not generic across all affect measures and may have limited value as a personalized prediction method.

scholarly journals Neuronal network mechanisms associated with depressive symptom improvement following electroconvulsive therapy

2020 ◽  
pp. 1-8
Author(s):  
Akihiro Takamiya ◽  
Taishiro Kishimoto ◽  
Jinichi Hirano ◽  
Shiro Nishikata ◽  
Kyosuke Sawada ◽  
...  
Keyword(s):  
Depressive Symptom ◽  
Clinical Improvement ◽  
Electroconvulsive Therapy ◽  
Antidepressant Treatment ◽  
Severe Depression ◽  
Hippocampal Volume ◽  
Antidepressant Effect ◽  
Symptom Improvement ◽  
Underlying Mechanisms ◽  
The Right

Abstract Background Electroconvulsive therapy (ECT) is the most effective antidepressant treatment for severe depression. Although recent structural magnetic resonance imaging (MRI) studies have consistently reported ECT-induced hippocampal volume increases, most studies did not find the association of the hippocampal volume changes with clinical improvement. To understand the underlying mechanisms of ECT action, we aimed to identify the longitudinal effects of ECT on hippocampal functional connectivity (FC) and their associations with clinical improvement. Methods Resting-state functional MRI was acquired before and after bilateral ECT in 27 depressed individuals. A priori hippocampal seed-based FC analysis and a data-driven multivoxel pattern analysis (MVPA) were conducted to investigate FC changes associated with clinical improvement. The statistical threshold was set at cluster-level false discovery rate-corrected p < 0.05. Results Depressive symptom improvement after ECT was positively associated with the change in the right hippocampus-ventromedial prefrontal cortex FC, and negatively associated with the right hippocampus-superior frontal gyrus FC. MVPA confirmed the results of hippocampal seed-based analyses and identified the following additional clusters associated with clinical improvement following ECT: the thalamus, the sensorimotor cortex, and the precuneus. Conclusions ECT-induced change in the right frontotemporal connectivity and thalamocortical connectivity, and changes in the nodes of the default mode network were associated with clinical improvement. Modulation of these networks may explain the underlying mechanisms by which ECT exert its potent and rapid antidepressant effect.

Selected Abstracts of Recent Research in Stuttering

1999 ◽  
Vol 9 (1) ◽  
pp. 5-6
Author(s):  
Carrie Bain ◽  
Nan Bernstein Ratner
Keyword(s):  
Large Volume ◽  
Clinical Relevance

Due to the large volume of fluency-related publications since the last column, we have chosen to highlight those articles of highest potential clinical relevance.

259: Evaluation and Clinical Relevance of Prognostic Molecular Risk Factors in Prostate Cancer

2006 ◽  
Vol 175 (4S) ◽  
pp. 86-86
Author(s):  
Roland Bonfig ◽  
Hubertus Riedmiller ◽  
Burkhardt Kneitz ◽  
Philipp Stroebel
Keyword(s):  
Prostate Cancer ◽  
Risk Factors ◽  
Clinical Relevance
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