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Höller Y, Urbschat MM, Kristófersson GK, Ólafsson RP. Predictability of Seasonal Mood Fluctuations Based on Self-Report Questionnaires and EEG Biomarkers in a Non-clinical Sample. Front Psychiatry 2022; 13:870079. [PMID: 35463521 PMCID: PMC9030950 DOI: 10.3389/fpsyt.2022.870079] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Accepted: 03/14/2022] [Indexed: 11/13/2022] Open
Abstract
Induced by decreasing light, people affected by seasonal mood fluctuations may suffer from low energy, have low interest in activities, experience changes in weight, insomnia, difficulties in concentration, depression, and suicidal thoughts. Few studies have been conducted in search for biological predictors of seasonal mood fluctuations in the brain, such as EEG oscillations. A sample of 64 participants was examined with questionnaires and electroencephalography in summer. In winter, a follow-up survey was recorded and participants were grouped into those with at least mild (N = 18) and at least moderate (N = 11) mood decline and those without self-reported depressive symptoms both in summer and in winter (N = 46). A support vector machine was trained to predict mood decline by either EEG biomarkers alone, questionnaire data from baseline alone, or a combination of the two. Leave-one-out-cross validation with lasso regularization was used with logistic regression to fit a model. The accuracy for classification for at least mild/moderate mood decline was 77/82% for questionnaire data, 72/82% for EEG alone, and 81/86% for EEG combined with questionnaire data. Self-report data was more conclusive than EEG biomarkers recorded in summer for prediction of worsening of depressive symptoms in winter but it is advantageous to combine EEG with psychological assessment to boost predictive performance.
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Affiliation(s)
- Yvonne Höller
- Faculty of Psychology, University of Akureyri, Akureyri, Iceland
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Murphy ST, Cooper AA, Hollars SN, Strunk DR. Who Benefits From a Cognitive vs. Behavioral Approach to Treating Depression? A Pilot Study of Prescriptive Predictors. Behav Ther 2021; 52:1433-1448. [PMID: 34656197 DOI: 10.1016/j.beth.2021.03.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 03/18/2021] [Accepted: 03/26/2021] [Indexed: 10/21/2022]
Abstract
Although experts have suggested ways that cognitive behavioral therapy (CBT) of depression might be personalized for individual clients, there has been little empirical examination of this issue. We examine cognitive behavioral skills and vulnerabilities (i.e., dysfunctional thinking, behavioral inactivation, and avoidance) as potential prescriptive predictors to cognitive vs. behavioral interventions. Forty-two adults with major depressive disorder were randomized to eight weeks of cognitive-only (n = 21) or behavioral-only (n = 21) individual psychotherapy. Clients completed pre-treatment measures of cognitive and behavioral skills and vulnerabilities. Dropout rates were comparable across treatments (21% overall). Treatment outcomes did not differ significantly between treatments (g = .13). Cognitive skills were associated with superior outcomes in the behavioral-only treatment, but additional analyses suggested general skillfulness (i.e., the tendency to have high scores across cognitive and behavioral assessments), rather than cognitive skills per se, predicted a larger response to behavioral interventions. Similarly, behavioral avoidance of social and non-social domains were associated with worse outcomes in the behavioral-only treatment, indicating that behavioral approaches yield less positive outcomes for clients high in behavioral avoidance. If replicated, the results of this pilot study suggest ways that a cognitive behavioral therapist could select intervention strategies to suit individual clients and thereby improve treatment outcomes.
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Camuso JA, Rohan KJ. Cognitive Vulnerabilities as Prognostic Predictors of Acute and Follow-up Outcomes in Seasonal Affective Disorder Treatment with Light Therapy or Cognitive-Behavioral Therapy. COGNITIVE THERAPY AND RESEARCH 2020; 44:468-482. [PMID: 33456097 PMCID: PMC7810199 DOI: 10.1007/s10608-020-10086-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
BACKGROUND First-line treatments for winter seasonal affective disorder include light therapy and cognitive-behavioral therapy; however, it is unclear whether particular patient profiles respond differentially to each treatment type. This study examined baseline patient cognitive and chronobiological vulnerabilities as prognostic and prescriptive predictors of acute and follow-up treatment outcomes. METHODS 177 adults with seasonal affective disorder were randomized to 6-weeks of either light therapy or cognitive-behavioral therapy. Participants completed baseline measures of cognitive vulnerabilities (Dysfunctional Attitudes Scale; Ruminative Response Scale; Seasonal Belief Questionnaire) and chronobiological vulnerability (Morningness-Eveningness Questionnaire). Depression was assessed at pre- and post-treatment and at follow-ups one and two winters later. RESULTS Pre-treatment depression severity correlated significantly with each cognitive vulnerability measure, and significantly predicted future depression. After controlling for pre-treatment depression, higher scores on the Morningness-Eveningness Questionnaire were prognostic of lower depression at treatment endpoint, but no cognitive vulnerability emerged as a prognostic or prescriptive predictor of outcome. CONCLUSIONS Greater morningness was associated with less severe post-treatment depression in both cognitive-behavior therapy and light therapy. No cognitive vulnerability emerged as a prognostic or prescriptive predictor, perhaps because they correlated with pre-treatment depression severity, a robust predictor of outcome. Future research should test alternative cognitive constructs.
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Affiliation(s)
- Julia A. Camuso
- Department of Psychological Science, University of Vermont, Burlington, VT 05405
| | - Kelly J. Rohan
- Department of Psychological Science, University of Vermont, Burlington, VT 05405
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Metts AV, Keilp JG, Kishon R, Oquendo MA, Mann JJ, Miller JM. Neurocognitive performance predicts treatment outcome with cognitive behavioral therapy for major depressive disorder. Psychiatry Res 2018; 269:376-385. [PMID: 30173044 DOI: 10.1016/j.psychres.2018.08.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Revised: 08/07/2018] [Accepted: 08/09/2018] [Indexed: 12/20/2022]
Abstract
The current study examined the contribution of baseline neuropsychological functioning to the prediction of antidepressant outcome with cognitive behavioral therapy (CBT) for Major Depressive Disorder (MDD). We hypothesized that depressed participants who were more neurocognitively intact and had less rigid, negative thinking would respond better to CBT. Thirty-one MDD patients completed a comprehensive neuropsychological battery before initiation of CBT. A subgroup also completed a probabilistic reversal learning task. Depression severity was assessed with the Beck Depression Inventory (BDI); rigid, negative thinking was assessed with the Dysfunctional Attitudes Scale (DAS) and the Automatic Thoughts Questionnaire (ATQ) throughout treatment. Remitters were compared to non-remitters. Paradoxically, eventual remitters performed generally worse across the neuropsychological battery considered as a whole. Univariate testing showed a significant difference on only a single measure, the Continuous Performance Test d', when corrected for multiple comparisons. Baseline rigid, negative thinking did not predict treatment outcome. Results suggest that the structure of CBT may particularly benefit individuals with mild depression-related neurocognitive difficulties during a depressive episode. Further research is needed to examine these patient characteristics and their potential contribution to the mechanisms of CBT efficacy.
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Affiliation(s)
- Allison V Metts
- Department of Psychiatry, Columbia University, Molecular Imaging and Neuropathology Division, and New York State Psychiatric Institute, New York, NY, USA
| | - John G Keilp
- Department of Psychiatry, Columbia University, Molecular Imaging and Neuropathology Division, and New York State Psychiatric Institute, New York, NY, USA
| | - Ronit Kishon
- Department of Psychiatry, Columbia University, Depression Evaluation Service, and New York State Psychiatric Institute, New York, NY, USA
| | - Maria A Oquendo
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - J John Mann
- Department of Psychiatry, Columbia University, Molecular Imaging and Neuropathology Division, and New York State Psychiatric Institute, New York, NY, USA
| | - Jeffrey M Miller
- Department of Psychiatry, Columbia University, Molecular Imaging and Neuropathology Division, and New York State Psychiatric Institute, New York, NY, USA.
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Patients' Experience of Winter Depression and Light Room Treatment. PSYCHIATRY JOURNAL 2017; 2017:6867957. [PMID: 28293623 PMCID: PMC5331315 DOI: 10.1155/2017/6867957] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Accepted: 12/04/2016] [Indexed: 02/02/2023]
Abstract
Background. There is a need for more knowledge on the effects of light room treatment in patients with seasonal affective disorder and to explore patients' subjective experience of the disease and the treatment. Methods. This was a descriptive and explorative study applying qualitative content analysis. A purposeful sample of 18 psychiatric outpatients with a major depressive disorder with a seasonal pattern and a pretreatment score ≥12 on the 9-item Montgomery-Åsberg Depression self-rating scale was included (10 women and 8 men, aged 24-65 years). All patients had completed light room treatment (≥7/10 consecutive weekdays). Data was collected two weeks after treatment using a semistructured interview guide. Results. Patients described a clear seasonal pattern and a profound struggle to adapt to seasonal changes during the winter, including deterioration in sleep, daily rhythms, energy level, mood, activity, and cognitive functioning. Everyday life was affected with reduced work capacity, social withdrawal, and disturbed relations with family and friends. The light room treatment resulted in a radical and rapid improvement in all the major symptoms with only mild and transient side effects. Discussion. The results indicate that light room treatment is essential for some patients' ability to cope with seasonal affective disorder.
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Meesters Y, Gordijn MC. Seasonal affective disorder, winter type: current insights and treatment options. Psychol Res Behav Manag 2016; 9:317-327. [PMID: 27942239 PMCID: PMC5138072 DOI: 10.2147/prbm.s114906] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Seasonal affective disorder (SAD), winter type, is a seasonal pattern of recurrent major depressive episodes most commonly occurring in autumn or winter and remitting in spring/summer. The syndrome has been well-known for more than three decades, with light treatment being the treatment of first choice. In this paper, an overview is presented of the present insights in SAD. Description of the syndrome, etiology, and treatment options are mentioned. Apart from light treatment, medication and psychotherapy are other treatment options. The predictable, repetitive nature of the syndrome makes it possible to discuss preventive treatment options. Furthermore, critical views on the concept of SAD as a distinct diagnosis are discussed.
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Affiliation(s)
- Ybe Meesters
- University Center for Psychiatry, University Medical Center Groningen
| | - Marijke Cm Gordijn
- Department of Chronobiology, GeLifes, University of Groningen, Groningen, the Netherlands; Chrono@Work B.V., Groningen, the Netherlands
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Paul MA, Love RJ, Hawton A, Brett K, McCreary DR, Arendt J. Light Treatment Improves Sleep Quality and Negative Affectiveness in High Arctic Residents During Winter. Photochem Photobiol 2015; 91:567-73. [DOI: 10.1111/php.12418] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2014] [Accepted: 01/03/2015] [Indexed: 11/28/2022]
Affiliation(s)
- Michel A. Paul
- Defence Research and Development Canada; Toronto ON Canada
| | - Ryan J. Love
- Defence Research and Development Canada; Toronto ON Canada
| | - Andrea Hawton
- Defence Research and Development Canada; Toronto ON Canada
| | - Kaighley Brett
- Canadian Forces Health Services Centre (Atlantic); Halifax NS
- Canadian Forces Station; Alert NU Canada
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Evans M, Rohan KJ, Sitnikov L, Mahon JN, Nillni YI, Lindsey KT, Vacek PM. Cognitive Change across Cognitive-Behavioral and Light Therapy Treatments for Seasonal Affective Disorder: What Accounts for Clinical Status the Next Winter? COGNITIVE THERAPY AND RESEARCH 2013; 37. [PMID: 24415812 DOI: 10.1007/s10608-013-9561-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Efficacious treatments for seasonal affective disorder include light therapy and a seasonal affective disorder-tailored form of cognitive-behavioral therapy. Using data from a parent clinical trial, these secondary analyses examined the relationship between cognitive change over treatment with cognitive-behavioral therapy, light therapy, or combination treatment and mood outcomes the next winter. Sixty-nine participants were randomly assigned to 6-weeks of cognitive-behavioral therapy, light therapy, or combination treatment. Cognitive constructs (i.e., dysfunctional attitudes, negative automatic thoughts, and rumination) were assessed at pre- and post-treatment. Dysfunctional attitudes, negative automatic thoughts, and rumination improved over acute treatment, regardless of modality; however, in participants randomized to solo cognitive-behavioral therapy, a greater degree of improvement in dysfunctional attitudes and automatic thoughts was uniquely associated with less severe depressive symptoms the next winter. Change in maladaptive thoughts during acute treatment appears mechanistic of solo cognitive-behavioral therapy's enduring effects the next winter, but is simply a consequence of diminished depression in light therapy and combination treatment.
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Affiliation(s)
- Maggie Evans
- University of Vermont, Department of Psychology, Burlington, VT
| | - Kelly J Rohan
- University of Vermont, Department of Psychology, Burlington, VT
| | - Lilya Sitnikov
- University of Vermont, Department of Psychology, Burlington, VT
| | | | - Yael I Nillni
- University of Vermont, Department of Psychology, Burlington, VT
| | | | - Pamela M Vacek
- University of Vermont College of Medicine, Medical Biostatistics, Burlington, VT
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