Post-stroke depression and lesion location: a systematic review

Association of Lesion Location and Depressive Symptoms Poststroke

BACKGROUND AND PURPOSE

Poststroke depression is a common stroke sequel, yet its neurobiological substrates are still unclear. We sought to determine whether specific lesion locations are associated with depressive symptoms after stroke.

METHODS

In a prospective study, 270 patients with first ever stroke were repeatedly tested with the depression subscale of the Hospital Anxiety and Depression Scale within the first 4 weeks and 6 months after stroke. Voxel-based lesion behavior mapping based on clinical imaging was performed to test for associations between symptoms of depression and lesion locations.

RESULTS

Frequency of poststroke depression (Hospital Anxiety and Depression Scale-D score >7) after 6 months was 19.6%. Higher Hospital Anxiety and Depression Scale-D scores for depression within the first 4 weeks were the only independent predictor for poststroke depression after 6 months in a multiple logistic regression also including age, sex, lesion volume, stroke severity, Barthel-Index, and the anxiety subscale of the Hospital Anxiety and Depression Scale. Nonparametric permutation-test based voxel-based lesion behavior mapping identified a cluster of voxels mostly within the left ventrolateral prefrontal cortex where lesions were significantly associated with more depressive symptoms after 6 months. No such association was observed within the right hemisphere despite better lesion coverage.

CONCLUSIONS

Lesions in the left ventrolateral prefrontal cortex increase the risk of depressive symptoms 6 months poststroke. Lesions within the right hemisphere are unrelated to depressive symptoms. Recognition of left frontal lesions as a risk factor should help in the early diagnosis of poststroke depression through better risk stratification. The results are in line with evidence from functional imaging and noninvasive brain stimulation in patients without focal brain damage indicating that dysfunction in the left lateral prefrontal cortex contributes to depressive disorders.

Hemispheric stroke: Mood disorders

Stroke causes many forms of disability, including emotional and mood disorders. Depression is the most common of these, affecting approximately one-third of stroke patients. Other disorders like mania, bipolar disorder, anxiety disorder, or apathy may also develop following stroke, although they are less common. The development of mood and emotional disorders is dependent on the severity of brain injury, the side of injury, and hemispheric location. Whereas a left hemispheric stroke often results in depression or a catastrophic reaction with anxiety, injury to the right hemisphere has predominantly been associated with the development of emotional indifference (anosodiaphoria) or euphoria. In this chapter, we discuss the mood disorders associated with hemispheric strokes and the neuropsychological mechanisms that might account for the clinical manifestations of these affective disorders.

Preventive Approaches for Post-Stroke Depression: Where Do We Stand? A Systematic Review

PURPOSE

Post-stroke depression (PSD) occurs in one-third of stroke survivors, leading to a substantial decrease in quality of life as well as delayed functional and neurological recovery. Early detection of patients at risk and initiation of tailored preventive measures may reduce the medical and socioeconomic burden associated with PSD. We sought to review the current evidence on pharmacological and non-pharmacological prevention of PSD.

MATERIALS AND METHODS

We conducted a systematic review using PubMed/MEDLINE and bibliographies of identified papers following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, including randomized controlled studies. Eligible studies were included when performed within 1 year after the index cerebrovascular event. Animal and basic research studies, studies lacking a control group, review papers, and case reports were excluded.

RESULTS

Out of 150 studies screened, 37 met our criteria. Among the strategies identified, administration of antidepressants displayed the most robust evidence for preventing PSD, whereas non-pharmacological interventions such as psychotherapy appear to be the most frequently used approaches to prevent depression after stroke. Research suggests that the efficacy of PSD prevention increases with the duration of preventive treatment. Seven out of 11 studies (63%) that used pharmacological and eight out of 16 (50%) that used non-pharmacological interventions reported a positive preventive effect on PSD.

CONCLUSION

Overall, the current literature on PSD prevention shows heterogeneity, substantiating a need for well-designed randomized controlled trials to test the safety and efficacy of pharmacological as well as non-pharmacological and composite prevention regimens to minimize the risk of PSD in stroke survivors. Integrative strategies combining personalized non-pharmacological interventions such as educational, mental, and physical health support, and pharmacological strategies such as SSRIs may be the most promising approach to prevent PSD.

Depressed Mood after Stroke: Predictive Factors at Six Months Follow-Up

We aimed to know the prevalence of post-stroke depression (PSD) in our context, identify the variables that could predict post-stroke depression, by using the Hamilton Depression Rating Scale, occurring within six months after stroke, and identify patients at high risk for PSD. Methods: descriptive, cross-sectional and observational study. We included 173 patients with stroke (transient ischemic attack (TIA) included) and collected sociodemographic and clinical variables. We used the Hamilton Depression Scale (HDS) for depression assessment and Barthel Index and modified Rankin Scale (mRS) for functional assessment. The neurological severity was evaluated by the National Institutes of Health Stroke Scale (NIHSS). Results: 35.5% were women, aged 71.16 (±12.3). Depression was present in 42.2% patients (n = 73) at six months after stroke. The following variables were significantly associated with PSD: diagnosis of previous depression (p = 0.005), the modified Rankin Scale at discharge (p = 0.032) and length of hospital stay (p = 0.012). Conclusion: PSD is highly prevalent after stroke and is associated with the severity, left location of the stroke, and the degree of disability at discharge. Its impact justifies the evaluation and early treatment that still continues to be a challenge today.

A meta-analysis of poststroke depression risk factors comparing depressive-related factors versus others

OBJECTIVES

Poststroke depression (PSD) is a public health issue, affecting one-third of stroke survivors, and is associated with multiple negative consequences. Reviews tried to identify PSD risk factors with discrepant results, highlighting the lack of comparability of the analyzed studies. We carried out a meta-analysis in order to identify clinical risk factors that can predict PSD.

DESIGN

PubMed and Web of Science were searched for papers. Only papers with a strictly defined Diagnostic and Statistical Manual of Mental Disorders depression assessment, at least 2 weeks after stroke, were selected. Two authors independently evaluated potentially eligible studies that were identified by our search and independently extracted data using standardized spreadsheets. Analyses were performed using MetaWin®, the role of each variable being given as a risk ratio (RR).

RESULTS

Eighteen studies were included in the meta-analysis. Identified risk factors for PSD with RR significantly above 1 were previous history of depression (RR 2.19, confidence interval (CI) 1.52-3.15), disability (RR 2.00, CI 1.58-2.52), previous history of stroke (RR 1.68, CI 1.06-2.66), aphasia (RR 1.47, CI 1.13-1.91), and female gender (RR 1.35, CI 1.14-1.61). Fixed effects model leads to identification of two more risk factors: early depressive symptoms with an RR of 2.32 (CI 1.43-3.79) and tobacco consumption (RR 1.40, CI 1.09-1.81). Time bias was found for alcohol consumption. Sample size was significantly involved to explain the role of "alcohol consumption" and "cognitive impairment."

CONCLUSION

Five items were significantly predictive of PSD. It might be of clinical interest that depressive-related risk factors (such as past depressive episodes) were having the largest impact.

The efficacy of Qigong exercises for post-stroke mental disorders and sleep disorders: Protocol for a systematic review and meta-analysis

BACKGROUND

Post-stroke mental disorders (PSMDs) and post-stroke sleep disorders (PSSDs) are quite common condition in stroke's patients. Qigong has been widely applied as a replaced and useful treatment for PSMDs and PSSDs. However, the exact effects and safety of Qigong have yet be systematically investigated. Our study focused on summary of efficacy and safety of Qigong for the treatment of advanced PSMDs and PSSDs through the systematic analysis and meta-analysis, in order to provide scientific reference for the clinical.

METHODS

The protocol followed Preferred Reporting Items for Systematic Review and Meta-Analyses Protocols. Relevant randomized controlled trials were only considered. Search strategy will be performed in 4 English database including Cochrane Library, PubMed, Web of Science, Excerpt Medical Database, 4 Chinese Database including Chinese Biomedical Literature Database, China National Knowledge Infrastructure, China Scientific Journal Database, Wanfang Database, and WHO International Clinical Trials Registry Platform. Papers in English or Chinese published from their inception to 30 June 2020. Study selection and data extraction will be performed independently by 2 investigators. The clinical outcomes including overall Hamilton depression scale, Hamilton anxiety scale, the mental health part of the MOS item short from health survey, Generic Quality of Life Inventory-74, Center for Epidemiologic Studies Depression Scale, Pittsburgh sleep quality index. Based on the Cochrane Assessment tool and Physiotherapy Evidence Database scale, a modified assessment form should be used to evaluate the methodological quality. Review Manager 5.3 was used for data analysis and risk of bias.

RESULTS AND CONCLUSION

We provide some more practical and targeted results examine the effect of Qigong exercises for PSMDs and PSSDs in the relative meta-analysis. We find out defects or inadequacies of Qigong in previous studies. The findings of this research will provide more evidence-based guidance in clinical practice and more rigorous study.International Platform of Registered Systematic Review and Meta-Analysis Protocols (INPLASY) registration number: INPLASY202070051.

Comorbid depression in medical diseases

Depression is one of the most common comorbidities of many chronic medical diseases including cancer and cardiovascular, metabolic, inflammatory and neurological disorders. Indeed, the prevalence of depression in these patient groups is often substantially higher than in the general population, and depression accounts for a substantial part of the psychosocial burden of these disorders. Many factors can contribute to the occurrence of comorbid depression, such as shared genetic factors, converging biological pathways, social factors, health behaviours and psychological factors. Diagnosis of depression in patients with a medical disorder can be particularly challenging owing to symptomatic overlap. Although pharmacological and psychological treatments can be effective, adjustments may need to be made for patients with a comorbid medical disorder. In addition, symptoms or treatments of medical disorders may interfere with the treatment of depression. Conversely, symptoms of depression may decrease adherence to treatment of both disorders. Thus, comprehensive treatment plans are necessary to optimize care.

Microstructural changes in the reward system are associated with post-stroke depression

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Depressed stroke survivors exhibit abnormal frontal and subcortical structural connectivity.

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Microstructural changes resemble those reported in major depressive disorder.

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Subnetworks linked with reward processing are associated with poststroke depression.

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Localized tractography confirmed involvement of connections in these networks.

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Grey matter volume, fractional anisotropy and free-water collectively predict depression severity.

Background

Studies of lesion location have been unsuccessful in identifying mappings between single brain regions and post-stroke depression (PSD). Based on studies implicating the reward system in major depressive disorder without stroke, we investigated structural correlates within this system and their associations with PSD.

Methods

The study enrolled 16 healthy controls, 12 stroke patients with PSD and 34 stroke patients free of PSD. Participants underwent 3T structural and diffusion MRI. Graph theoretical measures were used to examine global topology and whole-brain connectome analyses were employed to assess differences in the interregional connectivity matrix between groups. Structural correlates specific to the reward system were examined from grey matter volumes and by reconstructing its main white matter pathways, namely the medial forebrain bundle and cingulum connections, using deterministic tractography. Fractional anisotropy (FA) was derived as a measure of microstructural organization, and extracellular free-water (FW) as a possible proxy of neuroinflammation.

Results

Subnetworks of decreased FA-weighted and increased FW-weighted connectivity were observed in patients with PSD relative to healthy controls. These networks subsumed the majority of regions constituting the reward system. Within the reward system, FA and FW of major connection pathways and grey matter volume were collectively predictive of PSD, explaining 37.8% of the variance in depression severity.

Conclusions

PSD is associated with grey matter volume loss, reduced FA and increased extracellular FW in the reward system, similar to features observed in major depression without stroke. Structural characterization of the reward system is a promising biomarker of vulnerability to depression after stroke.

An integrative review: Challenges and opportunities for stroke survivors and caregivers in hospital to home transition care

AIM

To identify challenges and opportunities for stroke survivors and caregivers in hospital to home transition care.

BACKGROUND

Due to shortened hospital stays, stroke survivors and caregivers must take responsibility for complex care on discharge from hospital to home. Gaps exist in the literature that synthesizes studies on hospital to home transition care.

DESIGN

A systematic integrated review.

DATA SOURCES

Six databases were searched systematically between 18 June 2018 - 31 October 2018 including Medline, CINAHL, Web of Science, ProQuest, Scopus and Science Direct. The search did not have a date limit.

REVIEW METHODS

Studies that met the selection criteria were critically reviewed. Data were extracted from the studies for analyses. A convergent qualitative synthesis approach using inductive thematic synthesis was applied to the review.

RESULTS

The analysis of 23 studies identified three major findings. First, health and social care systems influence transition care by either enabling stroke survivors and caregivers to manage transition care via well-coordinated services or preventing them from accessing services. Second, health professionals' partnership with stroke survivors and caregivers largely decides tailored support for them. Successful partnerships and engagements with stroke survivors and caregivers depend on organizational resources. Third, survivors and caregivers are at different levels of readiness to cope with challenges. Individualized support for them to develop resilience is highly regarded.

CONCLUSION

Stroke survivors and caregivers encounter enormous challenges in self-management of hospital to home transition care. Further research is required to address their expectations of support during transition care.

IMPACT

There is a lack of synthesis of studies on factors affecting hospital to home transition care for stroke survivors. Health and social care system designs, health professionals' commitment to individualized care and the self-management capability of stroke survivors and their caregivers have a profound influence on the transition care experiences.

Depression Comorbid With Stroke, Traumatic Brain Injury, Parkinson's Disease, and Multiple Sclerosis: Diagnosis and Treatment

Depression is common among patients with neurologic disorders, and it has long been considered more difficult to treat than depression in the general population. In this review, the authors consider challenges in the diagnosis and treatment of depression among patients with stroke, traumatic brain injury, Parkinson's disease, and multiple sclerosis. For each disorder, the authors discuss the epidemiology and time course of depression as well as review the physiologic and psychological etiologies of depression. In addition, for each disorder, they review screening tools and diagnostic considerations, including differential diagnosis; discuss etiological factors, both neurobiological and psychological; and assess evidence for various depression treatments, including pharmacologic, psychosocial, and neuromodulatory therapies. The evidence suggests that depression is common among patients with neurologic disorders and that it is crucial for general psychiatrists to provide treatment for this population.

Assessment of the Progression of Poststroke Depression in Ischemic Stroke Patients Using the Patient Health Questionnaire-9

BACKGROUND

Poststroke depression (PSD) affects one-third of stroke patients and is linked with higher stroke morbidity, mortality, and recurrence. Current guidelines do not direct when to screen for PSD, and predictors of PSD are not well understood. We sought to understand progression of PSD symptoms early after ischemic stroke, identify predictors of PSD, and describe the use of antidepressants in PSD.

METHODS

We collected demographic, clinical, and PSD (Patient Health Questionnaire-9; PHQ-9) data from ischemic stroke patients hospitalized at our Comprehensive Stroke Center and followed up in our clinic. PHQ-9 was obtained during hospitalization and again in clinic within 180 days of discharge. We performed univariate analysis and logistic regression to detect variables associated with PSD.

RESULTS

Among 201 patients, PSD symptoms (PHQ-9 > 4) were identified in 30% of patients during hospitalization and 46% during follow-up (54% of which had no symptoms during hospitalization). At follow-up, 36% were worse by PHQ-9 category. In univariate analysis, follow-up modified Rankin Scale (mRS) greater than or equal to 2 (P = .03) and antidepressant prescription (P < .001) were associated with worsening PHQ-9 category. In logistic regression analysis, follow-up mRS greater than or equal to 2 (P = .02), posterior circulation stroke (P = .03), and antidepressant prescription (P < .01) were associated with worsening PHQ-9 category.

CONCLUSIONS

Almost half of ischemic stroke patients develop PSD symptoms and more than one-third worsen between hospitalization and follow-up. Poststroke disability (mRS ≥ 2) and posterior circulation stroke were associated with worsening PSD. Worsening PSD symptoms prompted treatment change in 29% of patients. Screening for PSD during hospitalization should be repeated during early follow-up.

Topological reorganization of the default mode network in patients with poststroke depressive symptoms: A resting-state fMRI study

OBJECTIVE

This study mapped the topological configuration of the default mode network (DMN) in patients with depressive symptoms after acute ischemic stroke.

METHODS

The study sample comprised 63 patients: 36 with poststroke depressive symptoms (PSD) and 37 without PSD matched according to age, gender and the severity of stroke. PSD was defined by a cutoff of ≥ 7 on the 15-item Geriatric Depression Scale (GDS). Resting-state functional magnetic resonance imaging (fMRI) was used to examine functional connectivity (FC) to reconstruct the DMN. Network based statistics estimated the FC differences of the DMN between the PSD and non-PSD groups. Graph theoretical approaches were used to characterize the topological properties of this network.

RESULTS

The study sample mainly comprised patients with mild to moderate stroke. A widespread hyper-connected configuration of the functional DMN was characterized in PSD group. The orbital frontal, dorsolateral prefrontal, dorsal medial prefrontal and, ventromedial prefrontal corticis, the middle temporal gyrus and the inferior parietal lobule were the functional hubs related to PSD. The nodal topology in inferior parietal lobule and superior frontal gyrus, overlapping with dorsal medial prefrontal and, ventromedial prefrontal cortices, tended to be functionally integrated in patients with PSD. After False Discovery Rate correction, no significant difference between the PSD and non-PSD groups was found with respect to the global and nodal metrics of the DMN. However, the correlations between these altered network metrics and severity of PSD were lacking.

LIMITATIONS

The diagnosis of PSD was based on the GDS score rather than established with a structured clinical interview.

CONCLUSIONS

The DMN in PSD was functionally integrated and more specialized in some core hubs such as the inferior parietal lobule and dorsal prefrontal cortex. The configuration of the subnetwork like DMN may be more essential in the pathogenesis of PSD than single stroke lesions.

A Human Depression Circuit Derived From Focal Brain Lesions

BACKGROUND

Focal brain lesions can lend insight into the causal neuroanatomical substrate of depression in the human brain. However, studies of lesion location have led to inconsistent results.

METHODS

Five independent datasets with different lesion etiologies and measures of postlesion depression were collated (N = 461). Each 3-dimensional lesion location was mapped to a common brain atlas. We used voxel lesion symptom mapping to test for associations between depression and lesion locations. Next, we computed the network of regions functionally connected to each lesion location using a large normative connectome dataset (N = 1000). We used these lesion network maps to test for associations between depression and connected brain circuits. Reproducibility was assessed using a rigorous leave-one-dataset-out validation. Finally, we tested whether lesion locations associated with depression fell within the same circuit as brain stimulation sites that were effective for improving poststroke depression.

RESULTS

Lesion locations associated with depression were highly heterogeneous, and no single brain region was consistently implicated. However, these same lesion locations mapped to a connected brain circuit, centered on the left dorsolateral prefrontal cortex. Results were robust to leave-one-dataset-out cross-validation. Finally, our depression circuit derived from brain lesions aligned with brain stimulation sites that were effective for improving poststroke depression.

CONCLUSIONS

Lesion locations associated with depression fail to map to a specific brain region but do map to a specific brain circuit. This circuit may have prognostic utility in identifying patients at risk for poststroke depression and therapeutic utility in refining brain stimulation targets.

Imaging markers associated with the development of post-stroke depression and apathy: Results of the Cognition and Affect after Stroke - a Prospective Evaluation of Risks study

Introduction

It has been suggested that the development of post-stroke apathy (PSA) and depression (PSD) may be more strongly associated with generalised brain pathology, rather than the stroke lesion itself. The present study aimed to investigate associations between imaging markers of lesion-related and generalised brain pathology and the development of PSA and PSD during a one-year follow-up.

Patients and methods

In a prospective cohort study, 188 stroke patients received 3-Tesla MRI at baseline (three months post-stroke) for evaluation of lesion-related, vascular, and degenerative brain pathology. Presence of lacunes, microbleeds, white matter hyperintensities, and enlarged perivascular spaces was summed to provide a measure of total cerebral small vessel disease (cSVD) burden (range 0-4). The Mini International Neuropsychiatric Interview and Apathy Evaluation Scale were administered at baseline and repeated at 6- and 12-month follow-up to define presence of PSD and PSA, respectively.

Results

Population-averaged logistic regression models showed that global brain atrophy and severe cSVD burden (score 3-4) were significantly associated with the odds of having PSA (OR_GEE 5.33, 95% CI 1.99-14.25 and 3.04, 95% CI 1.20-7.69, respectively), independent of stroke lesion volume and co-morbid PSD. Medium cSVD burden (score 2) was significantly associated with the odds of having PSD (OR_GEE 2.92, 95% CI 1.09-7.78), independent of stroke lesion volume, co-morbid PSA, and pre-stroke depression. No associations were found with lesion-related markers.

Conclusions

The results suggest that generalised degenerative and vascular brain pathology, rather than lesion-related pathology, is an important predictor for the development of PSA, and less strongly for PSD.

The new insights into human brain imaging after stroke

Over the last two decades, developments of human brain stroke imaging have raised several questions about the place of new MRI biomarkers in the acute management of stroke and the prediction of poststroke outcome. Recent studies have demonstrated the main role of perfusion-weighted imaging in the identification of the best cerebral perfusion profile for a better response after reperfusion therapies in acute ischemic stroke. A major issue remains the early prediction of stroke outcome. While voxel-based lesion-symptom mapping emphasized the influence of stroke location, the analysis of the brain parenchyma underpinning the stroke lesion showed the relevance of prestroke cerebral status, including cortical atrophy, white matter integrity, or presence of chronic cortical cerebral microinfarcts. Moreover, besides the evaluation of the visually abnormal brain tissue, the analysis of normal-appearing brain parenchyma using diffusion tensor imaging and magnetization transfer imaging or spectroscopy offered new biomarkers to improve the prediction of the prognosis and new targets to follow in therapeutic trials. The aim of this review was to depict the main new radiological biomarkers reported in the last two decades that will provide a more thorough prediction of functional, motor, and neuropsychological outcome following the stroke. These new developments in neuroimaging might be a cornerstone in the emerging personalized medicine for stroke patients.

Correlated Resting-State Functional MRI Activity of Frontostriatal, Thalamic, Temporal, and Cerebellar Brain Regions Differentiates Stroke Survivors with High Compared to Low Depressive Symptom Scores

Background

One in three survivors of stroke experience poststroke depression (PSD). PSD has been linked with poorer recovery of function and cognition, yet our understanding of potential mechanisms is currently limited. Alterations in resting-state functional MRI have been investigated to a limited extent. Fluctuations in low frequency signal are reported, but it is unknown if interactions are present between the level of depressive symptom score and intrinsic brain activity in varying brain regions.

Objective

To investigate potential interaction effects between whole-brain resting-state activity and depressive symptoms in stroke survivors with low and high levels of depressive symptoms.

Methods

A cross-sectional analysis of 63 stroke survivors who were assessed at 3 months poststroke for depression, using the Montgomery–Åsberg Depression Rating Scale (MÅDRS-SIGMA), and for brain activity using fMRI. A MÅDRS-SIGMA score of >8 was classified as high depressive symptoms. Fractional amplitude of frequency fluctuations (fALFF) data across three frequency bands (broadband, i.e., ~0.01–0.08; subbands, i.e., slow-5: ~0.01–0.027 Hz, slow-4: 0.027–0.07) was examined.

Results

Of the 63 stroke survivors, 38 were classified as “low-depressive symptoms” and 25 as “high depressive symptoms.” Six had a past history of depression. We found interaction effects across frequency bands in several brain regions that differentiated the two groups. The broadband analysis revealed interaction effects in the left insula and the left superior temporal lobe. The subband analysis showed contrasting fALFF response between the two groups in the left thalamus, right caudate, and left cerebellum. Across the three frequency bands, we found contrasting fALFF response in areas within the fronto-limbic-thalamic network and cerebellum.

Conclusions

We provide evidence that fALFF is sensitive to changes in poststroke depressive symptom severity and implicates frontostriatal and cerebellar regions, consistent with previous studies. The use of multiband analysis could be an effective method to examine neural correlates of depression after stroke. The START-PrePARE trial is registered with the Australian New Zealand Clinical Trial Registry, number ACTRN12610000987066.

Does stroke laterality predict major depression and cognitive impairment after stroke? Two-year prospective evaluation in the EMMA study

Depression and cognitive impairment are common conditions following stroke. We aimed to evaluate stroke laterality as predictor of post-stroke depression (PSD) and cognitive impairment (PCI) in a stroke cohort. Major depression (Patient Health Questionnaire-9, score ≥ 10) and cognitive impairment (Modified Telephone Interview for Cognitive Status, score < 14) were evaluated at 6 months and yearly up to 2 years. Survival analyses were performed by Kaplan-Meier curves and Cox logistic regression models, adjusted for potential confounders (cumulative hazard ratio, HR; 95% confidence interval, CI), for the likelihood of subsequent PSD or PCI progression at 6 months and 2 years, according to stroke laterality (right hemisphere-reference). Among 100 stroke patients, we found 19% had PSD and 38% had PCI 2 years after stroke. Most participants (53%) presented right-sided stroke. However, right-sided stroke was not associated with PSD or PCI. Overall, left-sided stroke was an independent and long-term predictor of PCI, but not of major depression. Left-sided stroke was associated with a high probability of PCI (42.6% and 53.2%, respectively at 6 months and 2 years, p-log-rank: 0.002). The HR of PCI due to left-sided stroke was 3.25 (95%CI, 1.30-8.12) at 6 months and remained almost the same at 2 years (HR,3.22;95%CI, 1.43-7.28). The risk of having worse cognition status increased by >3 times, 2 years after stroke. The results support the hypothesis that involvement of networks in the left, but not in the right hemisphere, contribute to long-term cognitive impairment. Lesion laterality did not influence the risk of PSD.

[The risk of medical comorbidity in mental disorders with a particular focus on depressive syndromes]

The risk of medical comorbidity in mental disorders with a particular focus on depressive syndromes Objectives: It has long been recognized that certain mental disorders, and in particular depressive syndromes, are associated with increased medical comorbidity. However, reliable data on the prevalence of comorbid medical diagnoses as well as the impact of these comorbidities on mortality are often rare and sometimes conflicting. Methods: A systematic literature review was conducted using PubMed and Google Scholar to provide a critical account of the current state of research on the comorbidities of medical and mental disorders, with a particular focus on depressive syndromes. Results: Among patients with mental disorders, all-cause mortality is about doubled as compared to the general population causing a significantly shortened life expectancy in the range of one to two decades. This excess mortality is primarily due to increased physical morbidity and mortality, and it cannot be excluded that, for patients with severe mental disorders, excess mortality has been increased over time. Depressive syndromes are often linked to a broad range of somatic symptoms and can be found in diseases, such as heart disease, stroke, diabetes mellitus, overweight/obesity, and asthma. Conclusion: Current studies provide ample evidence of close interactions between physical and mental health. Further developments in the field of psychosomatic medicine should take into consideration the health-related consequences of these interactions.

[Possibility of treatment of emotional and behavioral disorders in patients with stroke during rehabilitation]

AIM

To assess the effect of the comprehensive rehabilitation, which includes mechanotherapy and cognitive stimulation based on tablet technologies, on emotional and behavioral disorders in patients in the acute stage of ischemic stroke.

MATERIAL AND METHODS

The study enrolled 100 patients admitted to the hospital in the acute stage of ischemic stroke. The patients were randomized into treatment and control groups. Patients of the treatment group (n=50) underwent daily robotic mechanotherapy using the MOTOmed movement trainer and tablet technologies for self-training to improve memory, perception, reaction, counting. Patients of the control group (n=50) received standard therapy. The functional state of patients was assessed with the Rankin modified scale. Psychometric scales (the Beck Depression and Anxiety Inventories) were used to measure emotional and behavioral disorders.

RESULTS

The program of comprehensive rehabilitation in the acute stage of ischemic stroke helps to decrease emotional and behavioral disorders (p=0.0001). In patients of the treatment group, the severity of depressive disorders was lower at discharge from the hospital and continued to decrease for 6 months (p=0.001). The level of anxiety decreased over the study period (p=0.0001) compared with the patients of the control group who did not demonstrate improvement. Patients of the treatment group displayed better functional recovery reflected by significant changes in Rankin scale scores.

CONCLUSION

The rehabilitation program, which includes mechanotherapy and cognitive stimulation based on tablet technologies, is an easy and accessible method for treatment of emotional and behavioral disorders in patients in the acute stage of ischemic stroke. The results are maintained during the study period with further improvement after 3 and 6 months.

Post-stroke emotionalism: a qualitative investigation

Introduction: Post-stroke emotionalism, outbursts of involuntary crying or laughing, is common after stroke. Little is known about the psychosocial factors associated with this neurological disorder.Aim: To investigate participant's experiences of emotionalism and explore how they managed their symptoms.Methods: A qualitative study that used framework analysis. Participants were recruited across inpatient and outpatient stroke settings. The average time since stroke was 4.3 months.Results: Eighteen semi-structured interviews were conducted. Four themes were identified: (1) Spontaneous and uncontrollable emotional reactions; (2) Incongruence; (3) Social reactions (sub-theme: The stigma of expressed emotions) and (4) Convalescence. Participants with negative experiences described greater disability, avoidance and mood problems. Positive experiences were shaped by a better understanding of the condition, an increased sense of control, social support and optimism. Few participants knew that their emotionalism was caused by stroke. Embarrassment and social withdrawal were commonly reported and had a detrimental effect on participant's mood and quality of life.Conclusions: Earlier recognition of emotionalism in clinical settings is needed as is promoting discussions about emotional reactions after-stroke. This will reduce the likelihood that patients will develop erroneous beliefs about emotionalism and unhelpful coping responses that may lead to adjustment difficulties in the months that follow their stroke.Implications for rehabilitationThe unpredictable and uncontrollable nature of emotionalism can be embarrassing and cause social withdrawal or avoidance.Waiting for emotionalism episodes to pass, distraction, humor or optimism and social support are successful means of managing the condition.Professionals play a key role in raising awareness that emotionalism is a neurological condition and not a clinical mood disorder as this will promote better understanding for patients, their families and those around them.Encouraging patients to talk about their emotional reactions early after stroke will normalize their experiences and may prevent them from developing unhelpful beliefs that could affect their approach to recovery.

Post-stroke depression and cognitive impairment: Study design and preliminary findings in a Brazilian prospective stroke cohort (EMMA study)

BACKGROUND

Post-stroke depression (PSD) and cognitive impairment (PCI) are common conditions. This study aims to describe the protocol and preliminary findings of an investigation into factors associated with PSD and PCI 1-3 months after stroke (subacute phase) in survivors from the Study of Stroke Mortality and Morbidity (EMMA study).

METHODS

Stroke patients underwent to clinical and neurological evaluations on admission to hospital. Cerebral magnetic resonance and biomarkers (serotonin, BDNF, IL-6 and IL-18) were carried out in the subacute phase. DSM-IV major depression for the diagnosis of PSD, cognitive functioning for the diagnosis of PCI and functional disability were also recorded at same time.

RESULTS

Of the 103 eligible patients, 85.4% had ischemic stroke and 73.7% had first-ever stroke. In the subacute phase, 27.2% had PCI and 13.6% had current PSD (5.8% with 'first episode' and 7.8% with 'recurrent' depression). PCI was associated with low education (0-7 years of formal education: 75%) and ageing (median age: 70; interquartile range: 59-75 y-old). Left-sided stroke was more frequently associated with increased PCI than right-sided stroke (71.4% vs. 28.4%, p = 0.005). PSD was neither associated with stroke laterality nor tentorial area. Overall, biomarkers levels were not alterated in patients with PSD and PCI.

LIMITATIONS

Findings are based on small sample and less disabled stroke participants, e.g. those without aphasia and deafness.

CONCLUSIONS

Findings reinforce the need of early recognition and rehabilitation of PCI and PSD, mainly among those less educated and with left-sided stroke. PSD might occur through a pathophysiological pathway other than classical depression.

[Participation after stroke: the influence of depression in outpatient neurological rehabilitation]

BACKGROUND

Depressiveness is a known and common problem after stroke, which puts a great burden on those affected. The main goal for stroke rehabilitation is to achieve the maximum possible self-determination and participation in the community. This research study examined how depressive symptoms influence the course of participation in outpatient neurological rehabilitation.

METHODS

Stroke rehabilitants from 17 German outpatient neurological rehabilitation centers were interviewed in a multicentric observational study. Within the current work, data on participation and depressive symptoms recorded at the beginning and at the end of rehabilitation by self-assessment questionnaires, were evaluated.

RESULTS

Data of 342 rehabilitants were considered. Results of a multinomial logistic regression analysis indicated that the depression value at the end of rehabilitation, in particular, proved to be a good predictor for the improvement in participation. The lower the depressiveness, the more likely an improvement in participation. At the beginning of the rehabilitation program there were no significant differences between mean depression scores of patients who improved and patients who deteriorated.

DISCUSSION

A relationship between depressiveness and participation was shown. The treatment of depressive symptoms through timely administered psychotherapeutic and medicinal care and general activity promotion could influence the participation in a beneficial way.

Effect of Tai Chi for post-stroke mental disorders and sleep disorders: A protocol for systematic review and meta-analysis

BACKGROUND

Post-stroke mental disorders (PSMDs) and post-stroke sleep disorders (PSSDs) are very common in stroke patients. Recently, Tai Chi (TC) as a form of Chinese traditional mind-body exercise has been gradually applied to stroke rehabilitation although its efficacy for PSMD and PSSD varies across different studies. The aim of this study is to explore the therapeutic effect of TC training for PSMD and PSSD.

METHODS

This review will only include randomized controlled trials (RCTs). Search strategy will be performed in 3 English databases, 4 Chinese databases, and the WHO International Clinical Trials Registry Platform. All English or Chinese RCTs, published from inception to February 28, 2019, will be sought. Two reviewers will screen, select studies, extract data, and assess quality independently. Primary outcomes are clinical scales, mainly including "Hamilton depression scale," "Hamilton anxiety scale," and "Pittsburgh sleep quality index." The methodological quality including the risk of bias of the included studies will be evaluated using a modified assessment form, which is based on Cochrane assessment tool and Physiotherapy Evidence Database scale. Review Manager Software (Revman5.3) will be used for heterogeneity assessment, generating funnel-plots, data synthesis, subgroup analysis, and sensitivity analysis. We will use GRADE system to evaluate the quality of our evidence.

RESULTS

We will provide some more practical and targeted results investigating the effect of TC exercise for PSMD and PSSD in the current meta-analysis. Meanwhile, we will ascertain study progress of TC for PSMD and PSSD and find out defects or inadequacies of previous studies, so that future researchers could get beneficial guidance for more rigorous study.

CONCLUSION

The stronger evidence about TC's rehabilitative effect and safety for PSMD and PSSD will be provided for clinicians and policymakers.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42018106608.

ETHICS AND DISSEMINATION

We do not apply for formal ethical approval from ethics committee because all of the study data in our review will be obtained in an anonymous way. Findings of this study are projected to be disseminated through peer-review publications.

Personality traits and course of symptoms of depression and apathy after stroke: Results of the CASPER study

OBJECTIVE

Post-stroke depression (PSD) and post-stroke apathy (PSA) are both associated with adverse outcome after stroke. This study aimed to examine whether personality traits predict the course of PSD and PSA.

METHODS

In this prospective cohort study, 240 stroke patients completed the NEO Five Factor Inventory, Montgomery-Åsberg Depression Rating Scale, and Apathy Evaluation Scale at 3 months post-stroke. Neuropsychiatric assessment was repeated at 6- and 12-month follow-up after initial testing.

RESULTS

Linear mixed models showed that high neuroticism scores were associated with higher depression levels at baseline, and this association remained stable at follow-up. High extraversion scores and high conscientiousness scores were associated with lower apathy levels at baseline. For neuroticism, a significant interaction with time was found, with higher neuroticism scores at baseline being associated with an increase in apathy scores from 6-month to 12-month follow-up. Prospective analyses showed that high extraversion predicted low apathy levels at 6-month and 12-month follow-up independent of its relations with baseline depression and apathy. High neuroticism predicted high apathy levels at 12-month follow-up, whereas high agreeableness and high openness predicted high apathy levels and low apathy levels, respectively, at 6-month follow-up. None of the personality traits predicted depression scores at follow-up.

CONCLUSION

Personality traits are associated with the development and sustainability of PSD and PSA. The traits associated with PSD and PSA were different, providing support for the independence of these constructs. The findings highlight the importance to take personality traits into account as a potential vulnerability factor for PSD and PSA.

Changes in motor function, cognition, and emotion-related behavior after right hemispheric intracerebral hemorrhage in various brain regions of mouse

Intracerebral hemorrhage (ICH) is a detrimental type of stroke. Mouse models of ICH, induced by collagenase or blood infusion, commonly target striatum, but not other brain sites such as ventricular system, cortex, and hippocampus. Few studies have systemically investigated brain damage and neurobehavioral deficits that develop in animal models of ICH in these areas of the right hemisphere. Therefore, we evaluated the brain damage and neurobehavioral dysfunction associated with right hemispheric ICH in ventricle, cortex, hippocampus, and striatum. The ICH model was induced by autologous whole blood or collagenase VII-S (0.075 units in 0.5 µl saline) injection. At different time points after ICH induction, mice were assessed for brain tissue damage and neurobehavioral deficits. Sham control mice were used for comparison. We found that ICH location influenced features of brain damage, microglia/macrophage activation, and behavioral deficits. Furthermore, the 24-point neurologic deficit scoring system was most sensitive for evaluating locomotor abnormalities in all four models, especially on days 1, 3, and 7 post-ICH. The wire-hanging test was useful for evaluating locomotor abnormalities in models of striatal, intraventricular, and cortical ICH. The cylinder test identified locomotor abnormalities only in the striatal ICH model. The novel object recognition test was effective for evaluating recognition memory dysfunction in all models except for striatal ICH. The tail suspension test, forced swim test, and sucrose preference test were effective for evaluating emotional abnormality in all four models but did not correlate with severity of brain damage. These results will help to inform future preclinical studies of ICH outcomes.

Cerebral Small Vessel Disease Burden Is Associated With Poststroke Depressive Symptoms: A 15-Month Prospective Study

Objective: All types of cerebral small vessel disease (SVD) markers including lacune, white matter hyperintensities (WMH), cerebral microbleeds, and perivascular spaces were found to be associated with poststroke depressive symptoms (PDS). This study explored whether the combination of the four markers constituting an overall SVD burden was associated with PDS. Methods: A cohort of 563 patients with acute ischemic stroke were followed over a 15-month period after the index stroke. A score of ≥7 on the 15-item Geriatric Depression Scale was defined as clinically significant PDS. Scores of the four SVD markers ascertained on magnetic resonance imaging were summed up to represent total SVD burden. The association between SVD burden and PDS was assessed with generalized estimating equation models. Results: The study sample had a mean age of 67.0 ± 10.2 years and mild-moderate stroke [National Institutes of Health Stroke Scale score: 3, interquartile, 1-5]. PDS were found in 18.3%, 11.6%, and 12.3% of the sample at 3, 9, and 15 months after stroke, respectively. After adjusting for demographic characteristics, vascular risk factors, social support, stroke severity, physical and cognitive functions, and size and locations of stroke, the SVD burden was associated with an increased risk of PDS [odds ratio = 1.30; 95% confidence interval = 1.07-1.58; p = 0.010]. Other significant predictors of PDS were time of assessment, female sex, smoking, number of acute infarcts, functional independence, and social support. Conclusion: SVD burden was associated with PDS examined over a 15-month follow-up in patients with mild to moderate acute ischemic stroke.

Relation among Psychopathological Symptoms, Neuropsychological Domains, and Functional Disability in Subacute Poststroke Rehabilitation

BACKGROUND

Neuropsychiatric disorders are commonly observed in patients following a stroke. Among 30%-60% of poststroke patients suffer from depression and anxiety (18%-25%). Some authors suggest an association between psychological symptoms and lesions in specific brain areas. In particular, lesions in left frontal cortex and left basal ganglia are frequently associated with poststroke depression and with comorbidity of anxiety and depression, whereas isolated anxiety symptoms are frequently observed after right hemispheric lesions.

METHODS

We investigated the relationship between depressive symptoms and anxiety in patients with subacute stroke and lesion side, motor disability, and cognitive impairment. We enrolled 100 patients undergoing a rehabilitative program within 1-3 months after a first-onset stroke.

RESULTS

Our patients presented mild to moderate depressive and anxious symptoms after stroke. In the comparison between patients with right and left lesions, during subacute poststroke phase, we did not find a specific link between existence of psychiatric symptoms and lesion side. However, in left lesion, depression correlated with age and alteration in delayed memory and attention, whereas memory deficit influenced anxiety symptoms. On the contrary, in right lesion, depressive symptoms were associated with attention ability, whereas anxiety was related to memory and attention. Depression and anxiety were not related to degree of neurological and functional deficits.

CONCLUSIONS

The comorbidity between stroke and psychopathological disorders has been recognized as syndrome and should be diagnosed early and treated in order to improve the quality of life of patients and caregivers, and to improve rehabilitative process.

Clinical practice guidelines for post-stroke depression in China

Post-stroke depression (PSD) is a very common complication that leads to increased physical disability, poor functional outcome, and higher mortality. Therefore, early detection and treatment are very important. Since there are currently no specific guidelines for this disorder in China, the purpose of this study was to develop PSD guidelines and provide suggestions for clinicians and related workers.

Chronic Fluoxetine Induces Activity Changes in Recovery From Poststroke Anxiety, Depression, and Cognitive Impairment

Poststroke depression (PSD) is a common outcome of stroke that limits recovery and is only partially responsive to chronic antidepressant treatment. In order to elucidate changes in the cortical-limbic circuitry associated with PSD and its treatment, we examined a novel mouse model of persistent PSD. Focal endothelin-1-induced ischemia of the left medial prefrontal cortex (mPFC) in male C57BL6 mice resulted in a chronic anxiety and depression phenotype. Here, we show severe cognitive impairment in spatial learning and memory in the stroke mice. The behavioral and cognitive phenotypes were reversed by chronic (4-week) treatment with fluoxetine, alone or with voluntary exercise (free-running wheel), but not by exercise alone. To assess chronic cellular activation, FosB+ cells were co-labeled for markers of glutamate/pyramidal (VGluT1-3/CaMKIIα), γ-aminobutyric acid (GAD67), and serotonin (TPH). At 6 weeks poststroke versus sham (or 4 days poststroke), left mPFC stroke induced widespread FosB activation, more on the right (contralesional) than on the left side. Stroke activated glutamate cells of the mPFC, nucleus accumbens, amygdala, hippocampus, and raphe serotonin neurons. Chronic fluoxetine balanced bilateral neuronal activity, reducing total FosB and FosB/CamKII+ cells (mPFC, nucleus accumbens), and unlike exercise, increasing FosB/GAD67+ cells (septum, amygdala) or both (hippocampus, raphe). In summary, chronic antidepressant but not exercise mediates recovery in this unilateral ischemic PSD model that is associated with region-specific reversal of stroke-induced pyramidal cell hyperactivity and increase in γ-aminobutyric acidergic activity. Targeted brain stimulation to restore brain activity could provide a rational approach for treating clinical PSD.

Prevalence of poststroke depression in Iranian patients: a systematic review and meta-analysis

BACKGROUND

Poststroke depression (PSD) is the most common and important neuropsychiatric consequences of stroke, which can result in longer hospital stay, compromise the effectiveness of rehabilitation, and reduce the patients' quality of life. However, Iranian studies have reported different and conflicting prevalence rates for PSD.

OBJECTIVE

The present systematic review and meta-analysis aimed to evaluate the overall prevalence of PSD in Iranian patients.

PATIENTS AND METHODS

A systematic search was conducted in 2018 for Persian or English articles on PSD, published in the Scientific Information Database (SID), MagIran, PubMed, Scopus, and Web of Science, using the following keywords: depression, depressive disorder, stroke, cerebrovascular disorder, and Iran and all of their possible combinations. Heterogeneity across the studies was evaluated using the Cochran's Q test. According to the heterogeneity results, a random effects model was used to estimate the overall prevalence of PSD. The data were analyzed using the Stata 12 software.

RESULTS

Overall, six articles with a total sample size of 641 patients were included in the analysis. The overall prevalence of PSD in Iran was 46.9% (95% CI: 30.1-63.7). In addition, the prevalence of PSD was higher in women (50.4%, 95% CI: 17.9-82.9) than in men (29.5%, 95% CI: 17.2-41.8). According to the results of univariate meta-regression, there was a significant relationship between PSD prevalence and sample size (P=0.010).

CONCLUSION

Around half of the stroke patients in Iran suffer from PSD. Given the overlap between neurological symptoms of stroke and depression, efforts should be made to quickly and accurately diagnose depression so that it can be effectively managed with minimum complications.

Lower cognitive control network connectivity in stroke participants with depressive features

Around one-third of people develop depression following ischaemic stroke, yet the underlying mechanisms are poorly understood. Post-stroke depression has been linked to frontal infarcts, mainly lesions in the left dorsolateral prefrontal cortex (DLPFC). But depression is a network disorder that cannot be fully characterised through lesion-symptom mapping. Researchers of depression in non-stroke populations have successfully tapped into the cognitive control network (CCN) using the bilateral DLPFC as a seed, and found that CCN resting-state connectivity is reduced in even mildly depressed subjects, compared to healthy controls. Hence, we aimed to investigate the association between post-stroke depressive features and the CCN resting-state connectivity in a stroke population. We analysed DLPFC resting-state connectivity in 64 stroke participants, 20 of whom showed depressive features assessed with the Patient Health Questionnaire (PHQ-9) at 3 months after stroke. We directly compared groups showing symptoms of depression with those who did not, and performed a regression with PHQ-9 scores in all participants, controlling for age, gender, lesion volume and stroke severity. Post-stroke depression was associated with lower connectivity between the left DLPFC and the right supramarginal gyrus (SMG) in both group and regression analyses. Neither the seed nor the results overlapped with stroke lesions. These findings confirm an important role of the left DLPFC in post-stroke depression, but now show that large-scale network disruptions following stroke associated with depressive features occur without lesions in the DLPFC.

Post-stroke Fatigue and Depressive Symptoms Are Differentially Related to Mobility and Cognitive Performance

Background: Fatigue and depressive symptoms are common and often inter-related stroke sequelae. This study investigates how they are related, directly or indirectly, to mobility and cognitive outcomes within 6 months of stroke.

Methods: Participants were recruited from 4 stroke centers in Ontario, Canada. Post-stroke fatigue was assessed using the Fatigue Assessment Scale (FAS). Depressive symptoms were screened using the Center for Epidemiological Studies Scale for Depression (CES-D). Factor analyses were used to construct scores from mobility (distance traveled during a 2-min walk test, Chedoke-McMaster Stroke Assessment leg score, and Berg Balance Scale total score) and cognitive (Montreal Cognitive Assessment, Trail-Making Tests A and B, and five-word free recall) tests. Direct associations were assessed in linear regression models and indirect effects were assessed in path models. Covariates were age, sex, education, antidepressant use, days since stroke, and stroke severity (National Institute of Health Stroke Severity Scale score).

Results: Fatigue and depressive symptoms were highly correlated (r > 0.51, p < 0.0001). Depressive symptoms were associated with cognition (β = −0.184, p = 0.04) and indirectly with mobility, mediated by fatigue (indirect effect = −0.0142, 95% CI: −0.0277 to −0.0033). Fatigue was associated with mobility (β = −0.253, p = 0.01), and indirectly with cognition, mediated by depressive symptoms (indirect effect = −0.0113, 95% CI: −0.0242 to −0.0023).

Conclusions: Fatigue and depressive symptoms are related distinctly to cognitive and mobility impairments post-stroke. Fatigue was associated with poorer lower limb motor function, and with cognition indirectly via depressive symptoms.

Management of post-stroke mood and emotional disturbances

INTRODUCTION

Mood and emotional disturbances are common in stroke patients. Out of diverse post-stroke emotional disturbances, depression, anxiety, emotional incontinence, anger proneness, and fatigue are frequent and important symptoms. These symptoms are distressing for both the patients and their caregivers, and negatively influence the patient's quality of life. The emotional symptoms are not apparent and are therefore often neglected by neurologists. Their phenomenology, predicting factors, and pathophysiology have been under-studied, and are under-recognized. In addition, well-designed clinical trials targeting on these symptoms are rare. Areas covered: This review will describe some of the most common or relevant post-stroke mood and emotional disturbances. The phenomenology, factors or predictors, and presumed etio-pathogenesis will be described. Current pharmacological and non-pharmacological management strategies of these diverse emotional disturbances will be discussed based on different pathophysiological mechanisms. Expert commentary: It is fortunate that these mood and emotional disturbances can be treated by various methods, including pharmacological and non-pharmacological therapy. To administer the appropriate therapy, we must understand the similarities and differences in the pathophysiological mechanisms associated with these emotional symptoms.

The association between lesion location, sex and poststroke depression: Meta-analysis

BACKGROUND

Poststroke depression (PSD) is a common form of stroke patients. Whether the risk of PSD is influenced by the stroke lesion location and sex remains a matter of debate. The objective of this study was to examine the association between the risk of PSD and the stroke lesion location and sex by performing a systematic meta-analysis.

METHODS

Subgroup analyses were performed according to the time interval after stroke onset to assessment for PSD. A total of 31 reports involving 5,309 subjects (for lesion location analysis) and 5,489 subjects (for sex analysis) suffering from stroke were included in this meta-analysis.

RESULTS

The pooled odds ratio (OR) of PSD after a left-hemisphere stroke, compared with a right-hemisphere stroke was 1.11 (95% confidence interval [CI] 0.82-1.49) and OR of PSD after a male stroke, compared with a female stroke was 0.68 (95% CI 0.58-0.81). Subacute poststroke subgroup (1-6 months) significantly favored PSD occurring after a left hemisphere stroke (OR = 1.50, 95% CI 1.21-1.87). Furthermore, there was a statistically significant association between PSD and female stroke for studies with acute poststroke group (OR = 0.73, 95% CI 0.62-0.86) and subacute poststroke stroke phase (OR = 0.69, 95% CI 0.56-0.86).

CONCLUSIONS

This systematic review suggests that patients with left hemisphere stroke may be more susceptible to PSD during subacute phase of stroke and female stroke may be more susceptible to PSD during acute and subacute phase of stroke.

Post-Stroke Depression: Impact of Lesion Location and Methodological Limitations-A Topical Review

Post-stroke depression (PSD) affects approximately one-third of all stroke patients. It hinders rehabilitation and is associated with worse functional outcome and increased mortality. Since the identification of PSD is a significant clinical problem, clinicians and researchers have tried to identify predictors that indicate patients at risk of developing PSD. This also includes the research question whether there is an association between PSD and stroke lesion characteristics, e.g., lesion size and lesion location. Early studies addressing this question are largely limited by technical constraints and, thus, focused on simple lesion characteristics such as lesion side or proximity of the lesion to the frontal pole of the brain. More recent studies have addressed the impact of involvement of specific neuronal circuits in the stroke lesion. State-of-the-art methods of lesion symptom mapping to study PSD have only been applied to small patient samples. Overall, results are controversial and no clear pattern of stroke lesions associated with PSD has emerged, though there are findings suggesting that more frontal stroke lesions are associated with higher incidence of PSD. Available studies are hampered by methodological limitations, including drawbacks of lesion analysis methods, small sample size, and the issue of patient selection. These limitations together with differences in approaches to assess PSD and in methods of image analysis limit the comparability of results from different studies. To summarize, as of today no definite association between lesion location and PSD can be ascertained and the understanding of PSD rests incomplete. Further insights are expected from the use of modern lesion inference analysis methods in larger patient samples taking into account standardized assessment of possible confounding parameters, such as stroke treatment and reperfusion status.

Imaging Markers of Post-Stroke Depression and Apathy: a Systematic Review and Meta-Analysis

Several brain imaging markers have been studied in the development of post-stroke depression (PSD) and post-stroke apathy (PSA), but inconsistent associations have been reported. This systematic review and meta-analysis aims to provide a comprehensive and up-to-date evaluation of imaging markers associated with PSD and PSA. Databases (Medline, Embase, PsycINFO, CINAHL, and Cochrane Database of Systematic Reviews) were searched from inception to July 21, 2016. Observational studies describing imaging markers of PSD and PSA were included. Pooled odds ratios (OR) and 95% confidence intervals (CI) were calculated to examine the association between PSD or PSA and stroke lesion laterality, type, and location, also stratified by study phase (acute, post-acute, chronic). Other imaging markers were reviewed qualitatively. The search retrieved 4502 studies, of which 149 studies were included in the review and 86 studies in the meta-analyses. PSD in the post-acute stroke phase was significantly associated with frontal (OR 1.72, 95% CI 1.34–2.19) and basal ganglia lesions (OR 2.25, 95% CI 1.33–3.84). Hemorrhagic stroke related to higher odds for PSA in the acute phase (OR 2.58, 95% CI 1.18–5.65), whereas ischemic stroke related to higher odds for PSA in the post-acute phase (OR 0.20, 95% CI 0.06–0.69). Frequency of PSD and PSA is modestly associated with stroke type and location and is dependent on stroke phase. These findings have to be taken into consideration for stroke rehabilitation programs, as this could prevent stroke patients from developing PSD and PSA, resulting in better clinical outcome.

Comparative efficacy and acceptability of antidepressant treatment in poststroke depression: a multiple-treatments meta-analysis

OBJECTIVE

The aim of this study is to create a rank order of the comparative efficacy and acceptability (risk of all-cause discontinuation) of antidepressant treatment in poststroke depression (PSD) by integrating direct and indirect evidence.

DESIGN

Multiple-treatments meta-analysis of randomised controlled trials.

PARTICIPANTS

Patients with depression following stroke.

INTERVENTIONS

10 antidepressants and placebo in the acute treatment of PSD.

OUTCOME MEASURES

The primary outcomes were the overall efficacy, defined as the mean change of the total depression score. The secondary outcome was the acceptability, defined as risk of all-cause discontinuation. These estimates as standardised mean differences or ORs with 95% CIs.

RESULTS

We identified 12 suitable trials, with data from 707 participants. All drugs were significantly more effective than placebo apart from sertraline, nefiracetam and fluoxetine. Most of the comparisons for acceptability revealed no significant differences except that paroxetine had significantly lower all-cause discontinuation than doxepin, citalopram and fluoxetine. Standardised mean differences compared with placebo for efficacy varied from -6.54 for the best drug (reboxetine) to 0.51 for the worst drug (nefiracetam). ORs compared with placebo for acceptability ranged from 0.09 for the best drug (paroxetine) to 3.42 for the worst drug (citalopram). For the efficacy rank, reboxetine, paroxetine, doxepin and duloxetine were among the most efficacious treatments, the cumulative probabilities of which were 100%, 85.7%, 83.2%, 62.4%, respectively. With respect to the acceptability rank, paroxetine, placebo, sertraline and nortriptyline were among the most acceptable treatments, the cumulative probabilities of which were 92.4%, 63.5%, 57.3%, 56.3%.

CONCLUSION

After weighing the efficacy and acceptability, we conclude that paroxetine might be the best choice when starting acute treatment for PSD, and fluoxetine might be the worst choice.

TRIAL REGISTRATION NUMBER

This systematic review has been registered in the Prospective Register of Systematic Review Protocols (PROSPERO) public database (CRD42017054741; http://www.crd.york.ac.uk/PROSPERO).

Risk Factors for Post-stroke Depression: A Meta-analysis

Background: Stroke not only impacts patients physically but also economically. Post-stroke depression (PSD), as a common complication of stroke, always obstructs the process of stroke rehabilitation. Accordingly, defining the risk factors associated with PSD has extraordinary importance. Although there have been many studies investigating the risk factors for PSD, the results are inconsistent.

Objectives: The objectives of this study were to identify the risk factors for PSD by evidence-based medicine.

Data sources: A systematic and comprehensive database search was performed of PubMed, Medline, CENTRAL, EMBASE.com, the Cochrane library and Web of Science for Literature, covering publications from January 1, 1998 to November 19, 2016.

Study Selection: Studies on risk factors for PSD were identified, according to inclusion and exclusion criteria. The risk of bias tool, described in the Cochrane Handbook version 5.1.0, was used to assess the quality of each study. Meta-analysis was performed using RevMan 5.3 software.

Results: Thirty-six studies were included for review. A history of mental illness was the highest ranking modifiable risk factor; other risk factors for PSD were female gender, age (<70 years), neuroticism, family history, severity of stroke, and level of handicap. Social support was a protective factor for PSD.

Conclusion: There are many factors that have effects on PSD. The severity of stroke is an important factor in the occurrence of PSD. Mental history is a possible predictor of PSD. Prevention of PSD requires social and family participation.

Depressive disorder may be associated with raphe nuclei lesions in patients with brainstem infarction

BACKGROUND

Depression is a common symptom after stroke, but its neural substrates remain unclear. The ascending serotonergic system originates from the raphe nuclei in the brainstem. We hypothesized that depressive disorder due to brainstem infarction is associated with damage to the raphe nuclei.

METHODS

We prospectively enrolled 19 patients who had the first-ever acute isolated brainstem infarction in an observational cross-sectional study. All patients were evaluated by using the Montgomery Åsberg Depression Rating Scale (MADRS), the clinician-rated version of Apathy Evaluation Scale (AES-C) and Mini-Mental State Examination (MMSE). Depressive disorder was diagnosed according to DSM-5 and MADRS score of 12 or greater. Diffusion tensor imaging and proton density-weighted images were used to identify damage in the raphe nuclei. Accordingly, patients were classified into either the raphe-nuclei-damaged or intact group. Prevalence of depressive disorder and the MADRS, AES-C, and MMSE scores were compared between the two groups.

RESULTS

Depressive disorder was more frequent in the damaged group (n=6) than in the intact group (n=13) (83% vs. 15%; P=0.01). MADRS scores were higher in the damaged group than in the intact group (mean±1 SD, 17.5±7.9 vs. 7.0±4.4; P=0.002), whereas the AES-C and MMSE scores did not differ between groups.

LIMITATIONS

We did not assess the damage to the ascending projection fibers from the raphe nuclei.

CONCLUSIONS

Our results suggest that damage to the raphe nuclei underlies depressive disorder due to brainstem infarction, possibly via serotonergic denervation.