Post stroke depression: The sequelae of cerebral stroke

Das, Jyotirekha; Rajanikant, G. K.

doi:10.1016/j.neubiorev.2018.04.005

Cited by 207 publications

(128 citation statements)

References 143 publications

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“…The aetiology of the post-stroke mood disorder (depression, apathy, and anxiety) is believed to be multifactorial and is poorly understood 16 . Additionally, cognitive impairment, stroke severity, and physical disability have been the most consistently identified associated factors 2,16 . In this study, we attempted to predict post-stroke mood disorders using machine learning by inputting the abovementioned factors, and obtain high prediction accuracies for cases of depression, apathy, and anxiety.…”

Section: Discussionmentioning

confidence: 99%

Relationships between motor and cognitive functions and subsequent post-stroke mood disorders revealed by machine learning analysis

Hama¹,

Yoshimura

Yanagawa

et al. 2020

Sci Rep

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Mood disorders (e.g. depression, apathy, and anxiety) are often observed in stroke patients, exhibiting a negative impact on functional recovery associated with various physical disorders and cognitive dysfunction. Consequently, post-stroke symptoms are complex and difficult to understand. In this study, we aimed to clarify the cross-sectional relationship between mood disorders and motor/cognitive functions in stroke patients. An artificial neural network architecture was devised to predict three types of mood disorders from 36 evaluation indices obtained from functional, physical, and cognitive tests on 274 patients. The relationship between mood disorders and motor/cognitive functions were comprehensively analysed by performing input dimensionality reduction for the neural network. The receiver operating characteristic curve from the prediction exhibited a moderate to high area under the curve above 0.85. Moreover, the input dimensionality reduction retrieved the evaluation indices that are more strongly related to mood disorders. The analysis results suggest a stress threshold hypothesis, in which stroke-induced lesions promote stress vulnerability and may trigger mood disorders.

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Section: Discussionmentioning

confidence: 99%

Relationships between motor and cognitive functions and subsequent post-stroke mood disorders revealed by machine learning analysis

Hama¹,

Yoshimura

Yanagawa

et al. 2020

Sci Rep

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“…Furthermore, depressive symptomatology can be triggered by diverse events, such as hormonal changes (e.g. (Bromberger & Epperson, 2018;Brummelte & Galea, 2016)), stressful and traumatic events (e.g., (Blore, Sim, Forbes, Creamer, & Kelsall, 2015;Heim, Owens, Plotsky, & Nemeroff, 1997), neurological conditions (e.g., (Blaszczyk & Czuczwar, 2016;Das & G, 2018)), or medication (Rogers & Pies, 2008). In all of these conditions, the causal relationships between depressive symptoms, the attitude to touch and interpersonal problems could be different.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Depression predicts interpersonal problems partially through the attitude towards social touch

Triscoli

Sailer

2019

Journal of Affective Disorders

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights • Highly depressed individuals have a more negative attitude towards social touch than non-to lowly depressed individuals. • Highly depressed individuals particularly dislike physical touch by not well-known people, but not by close ones. • Highly depressed individuals report more interpersonal problems, with the level of depression predicting the degree of interpersonal problems. • The relationship between depression and interpersonal problems is partially mediated by the attitude towards social touch in general, and by the dislike of physical touch by people not well-known in particular.

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“…The pathophysiology of PSD is probably multifactorial, deriving from a complex interaction between ischemia-induced neurobiological dysfunctions and psychological distress ( 7 , 8 ). Although an early detection of PSD is a key issue in clinical practice, its identification remains challenging ( 9 ). This may be due to some neurological symptoms which could conceal primary mood abnormalities ( 5 ), as well as the lack of satisfactory diagnostic tools for case-finding ( 10 ).…”

Section: Introductionmentioning

confidence: 99%

“…This may be due to some neurological symptoms which could conceal primary mood abnormalities ( 5 ), as well as the lack of satisfactory diagnostic tools for case-finding ( 10 ). However, PSD represents one of the main factors limiting recovery and rehabilitation ( 9 ), predisposing to severe disability, functional and cognitive impairment, greater dependency in daily activities, and low treatment adherence ( 11 , 12 ). In addition, several studies identified PSD as a potential risk factor for mortality ( 13 – 15 ).…”

Section: Introductionmentioning

confidence: 99%

Early Post-stroke Depression and Mortality: Meta-Analysis and Meta-Regression

et al. 2018

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Background: Post-stroke depression (PSD) is a common and serious complication after stroke. In this systematic review and meta-analysis, we evaluated the association between early PSD and mortality, considering depressive symptoms occurring within the first 3 months after the neurological event.Methods: This meta-analysis was conducted following Meta-analysis Of Observational Studies in Epidemiology (MOOSE) guidelines and based on studies indexed till May 2018 in PubMed and Web of Science databases. The relative risk (RR) for mortality in individuals with PSD, as compared with non-depressed ones, was estimated. Findings were pooled according to a random-effects model. Meta-regression and subgroup analyses were carried out.Results: We included seven studies, accounting for 119,075 individuals, of whom 17,609 suffering from an early PSD. We found higher rates of mortality in subjects with PSD as compared with non-depressed ones (RR = 1.50; 95%CI: 1.28 to 1.75; p < 0.001). Heterogeneity across studies was moderate (I2 = 50.7%). Subgroup analysis showed a slightly higher effect of PSD on short-term mortality (RR = 1.70; p < 0.001), as compared with long-term one (RR = 1.35; p = 0.01). According to relevant meta-regression analyses, the estimate was influenced by sample proportion of men (p = 0.043).Conclusions: Despite some limitations, our study shows the negative impact of early PSD on survival rates. Mechanisms underlying this association still need to be elucidated and several interpretations can be hypothesized. Future research should test if an early management of depression may increase life expectancy after stroke.

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Post stroke depression: The sequelae of cerebral stroke

Cited by 207 publications

References 143 publications

Relationships between motor and cognitive functions and subsequent post-stroke mood disorders revealed by machine learning analysis

Relationships between motor and cognitive functions and subsequent post-stroke mood disorders revealed by machine learning analysis

Depression predicts interpersonal problems partially through the attitude towards social touch

Early Post-stroke Depression and Mortality: Meta-Analysis and Meta-Regression

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