Diagnostic accuracy for major depression in multiple sclerosis using self‐report questionnaires

Fischer, Anja; Fischer, Marcus; Nicholls, Robert A.; Lau, Stephanie; Poettgen, Jana; Patas, Kostas; Heesen, Christoph; Gold, Stefan M.

doi:10.1002/brb3.365

Cited by 35 publications

(33 citation statements)

References 31 publications

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“…For depressive symptom severity assessment, the well-known Beck Depression Inventory and the Hospital Anxiety and Depression Scale have both been diagnostically evaluated in MS patients 42,44 and have psychometric properties that are sensitive to change. This sensitivity has, however, not been tested specifically in MS patients.…”

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confidence: 99%

Fatigue and depression in multiple sclerosis: pharmacological and non-pharmacological interventions

Brenner

Piehl

2016

Acta Neurol Scand

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Multiple sclerosis (MS) is a neuroinflammatory condition with a prominent progressive neurodegenerative facet that typically affects young-or middle-aged adults. Although physical disabilities have been in the foreground by being easier to assess, there is an increasing interest in mental disabilities and psychiatric co-morbidities, which have a disproportionally high impact on important outcome measures such as quality of life and occupational disability. In particular, cognitive impairment, depression and mental fatigue, which mutually interact with each other, seem to be of importance in this context. In recent decades, major efforts have been invested in developing more effective disease modulatory treatments. This has resulted in novel therapeutic options and awareness of the importance of early intervention. In comparison, good quality and adequately powered studies on symptomatic treatments of fatigue and psychiatric co-morbidities in MS are rare, and awareness of treatment options is much lower. We here review the existing evidence base for symptomatic treatment of fatigue and depression in MS patients. With regard to fatigue, off-label prescription of alertness improving drugs is common, in spite of all but absent evidence of efficacy. In contrast, a number of smaller studies suggest that physical exercise and fatigue management courses may have some clinical benefit. Very few studies have addressed the efficacy of antidepressants and non-pharmaceutical interventions specifically in MS patients. Therefore, treatment guidelines largely rely on data from non-MS populations. In the future, there is a strong motive to direct additional resources to the study of these important aspects of MS. K E Y W O R D Scognitive symptoms, depression, fatigue, multiple sclerosis, treatment

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confidence: 99%

Fatigue and depression in multiple sclerosis: pharmacological and non-pharmacological interventions

Brenner

Piehl

2016

Acta Neurol Scand

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“…With a carefully designed model, the pervasive system could reach accuracy similar to the current scale-based screening method; for instance, the accuracy of BDI is reported to be 79-86% in different studies [99][100][101].…”

Section: Discussionmentioning

confidence: 99%

A Pervasive Approach to EEG‐Based Depression Detection

et al. 2018

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Nowadays, depression is the world's major health concern and economic burden worldwide. However, due to the limitations of current methods for depression diagnosis, a pervasive and objective approach is essential. In the present study, a psychophysiological database, containing 213 (92 depressed patients and 121 normal controls) subjects, was constructed. The electroencephalogram (EEG) signals of all participants under resting state and sound stimulation were collected using a pervasive prefrontal-lobe threeelectrode EEG system at Fp1, Fp2, and Fpz electrode sites. After denoising using the Finite Impulse Response filter combining the Kalman derivation formula, Discrete Wavelet Transformation, and an Adaptive Predictor Filter, a total of 270 linear and nonlinear features were extracted. Then, the minimal-redundancy-maximal-relevance feature selection technique reduced the dimensionality of the feature space. Four classification methods (Support Vector Machine, K-Nearest Neighbor, Classification Trees, and Artificial Neural Network) distinguished the depressed participants from normal controls. The classifiers' performances were evaluated using 10-fold cross-validation. The results showed that K-Nearest Neighbor (KNN) had the highest accuracy of 79.27%. The result also suggested that the absolute power of the theta wave might be a valid characteristic for discriminating depression. This study proves the feasibility of a pervasive three-electrode EEG acquisition system for depression diagnosis.

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“…We included the 16-item Inventory of Depressive Symptomatology (IDS16SR) (Fischer et al 2015), the Fatigue Scale for Motor and Cognitive Function (FSMC) (Penner et al 2009), the Hamburg Quality of Life Questionnaire for Multiple Sclerosis (HAQUAMS) (Gold et al 2001) and the Multiple Sclerosis Walking Scale-12 (MSWS-12) (Hobart et al 2003).…”

Section: Methodsmentioning

confidence: 99%

Short-term aerobic training does not improve memory functioning in relapsing remitting multiple sclerosis – a randomized controlled trial

Baquet

Hasselmann

Patra

et al. 2018

Preprint

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Background Only few aerobic exercise intervention trials specifically targeting cognitive functioning have been performed in MS. Objective and methods This randomized controlled trial aimed to determine the effects of aerobic exercise on cognition in relapsing-remitting MS. The primary outcome was verbal memory (Verbal learning and memory test, VLMT). Patients were randomized to an intervention group (IG) program or a waitlist control group (CG). Patients in the IG exercised according to an individually tailored training schedule (with 2-3 sessions per week for 12 weeks). The primary analysis was carried out using the intention-to-treat (ITT) sample with ANCOVA adjusting for baseline scores. Results 77 RRMS patients were screened and 68 participants randomized (CG n=34; IG n=34). The sample comprised 68% females, had a mean age of 39 years, a mean disease duration of 6.3 years, and a mean EDSS of 1.8. No significant effects were detected in the ITT analysis for the primary endpoint VLMT or any other cognitive measures. Moreover, no significant treatment effects were observed for quality of life, fatigue, or depressive symptoms. Conclusion This study failed to demonstrate beneficial effects of aerobic exercise on cognition in RRMS. The trial was prospectively registered at clinicaltrials.gov (NCT02005237).

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Diagnostic accuracy for major depression in multiple sclerosis using self‐report questionnaires

Cited by 35 publications

References 31 publications

Fatigue and depression in multiple sclerosis: pharmacological and non-pharmacological interventions

Fatigue and depression in multiple sclerosis: pharmacological and non-pharmacological interventions

A Pervasive Approach to EEG‐Based Depression Detection

Short-term aerobic training does not improve memory functioning in relapsing remitting multiple sclerosis – a randomized controlled trial

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