IntroductionPoststroke depression (PSD) is one of the most common emotional disorders afflicting those who experience stroke. A meta-analysis has indicated that the prevalence of major or mild depression is approximately 18% (range 8%-46%), 1 with the presence of PSD being associated with increased mortality.2 Converging evidence has implicated particular neural networks in the pathophysiology of mood disorders.3 However, despite being one of the direct causes of depression, whether stroke-induced neuroanatomical deterioration actually plays an important role in the onset of PSD is still controversial. Previous neuroimaging studies have focused mainly on regional differences and severity of local brain lesions. 4 In addition, an often-cited meta-analysis that reported no clear association between PSD and any specific lesion location or hemisphere 4 has fueled intense debate. Recently, although statistical parametric mapping linked affective depression to lesions centred in the left basal ganglia and left frontal cortex, the conclusions remain in doubt because results were not corrected for multiple comparisons. 5,6 Diffusion tensor imaging (DTI) is a noninvasive technique that assesses white matter connectivity, particularly fibre density and myelination. In addition, structural brain network interactions can be quantified using brain graphs 7,8 in which neuroanatomical regions are defined as a set of nodes and DTI-derived white matter connections act as interconnecting edges.7 Using this approach, a disruption of neural topology has been shown in several brain diseases, 9-11 including those occurring in chronic stroke patients. 12 Here, we evaluated 3 markers of brain-damage severity: lesion index, fractional anisotropy (FA) reduction and brain structural networks. We hypothesized that a specific brain subnetwork is associated with PSD and that the damage to it might serve as a predictor of poststroke major depression. We constructed a depression-related subnetwork based on Background: Despite being one of the direct causes of depression, whether stroke-induced neuroanatomical deterioration actually plays an important role in the onset of poststroke depression (PSD) is controversial. We assessed the structural basis of PSD, particularly with regard to white matter connectivity. Methods: We evaluated lesion index, fractional anisotropy (FA) reduction and brain structural networks and then analyzed whole brain voxel-based lesions and FA maps. To understand brain damage in the context of brain connectivity, we used a graph theoretical approach. We selected nodes whose degree correlated with the Hamilton Rating Scale for Depression score (p < 0.05, false discovery rate-corrected), after controlling for age, sex, years of education, lesion size, Mini Mental State Examination score and National Institutes of Health Stroke Scale score. We used Poisson regression with robust standard errors to assess the contribution of the identified network toward poststroke major depression. Results: We included 116 stroke patients ...

Post-stroke apathy is not due to the dysfunction of a single region or circuit. Rather, it results from disconnection of a complex sub-network of brain regions. This provides new insights into the neuroanatomical basis of post-stroke apathy.

ObjectiveTo explore the structural basis of post-stroke apathy by using voxel-based analysis (VBA) of fractional anisotropy (FA) maps.MethodsWe enrolled 54 consecutive patients with ischemic stroke during convalescence, and divided them into apathy (n = 31) and non-apathy (n = 23) groups. We obtained magnetic resonance images of their brains, including T1, T2 and DTI sequences. Age, sex, education level, Hamilton Depression Scale (HAMD) scores, Mini-Mental State Examination (MMSE) scores, National Institutes of Health Stroke Scale (NIHSS) scores, and infarct locations for the two groups were compared. Finally, to investigate the structural basis of post-stroke apathy, VBA of FA maps was performed in which we included the variables that a univariate analysis determined had P-values less than 0.20 as covariates.ResultsHAMD (P = 0.01) and MMSE (P<0.01) scores differed significantly between the apathy and non-apathy groups. After controlling for age, education level, HAMD scores, and MMSE scores, significant FA reduction was detected in four clusters with peak voxels at the genu of the corpus callosum (X = −16, Y = 30, Z = 8), left anterior corona radiata (−22, 30, 10), splenium of the corpus callosum (−24, −56, 18), and right inferior frontal gyrus white matter (52, 24, 18), after family-wise error correction for multiple comparisons.ConclusionsPost-stroke apathy is related to depression and cognitive decline. Damage to the genu of the corpus callosum, left anterior corona radiata, splenium of the corpus callosum, and white matter in the right inferior frontal gyrus may lead to apathy after ischemic stroke.

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BackgroundApathy and depression are important neuropsychiatric disorders that can occur after a stroke but the etiology and risk factors are not well understood. The purpose of this study was to identify risk factors for apathy and depression following a stroke.MethodsPatients with an acute stroke who met the inclusion criteria were recruited from our hospital, and general information was recorded from patient charts. The Apathy Evaluation Scale, Clinician Version (AES-C) was used to evaluate these patients within 2 weeks after the stroke. The Montreal Cognitive Assessment (MoCA), mini-mental state examination (MMSE), Hamilton Depression Scale (HAMD), Mattis Dementia Rating Scale Initiation/Perseveration subset (MDRS I/P), Frontal Assessment Battery (FAB) and Stroop Color-Word Association Test were employed to evaluate emotion, cognitive function and executive function. The patients were divided into two groups: the apathy group and the non-apathy group. We also divided the patients into two groups based on whether or not they had post-stroke depression. The clinical characteristics and scores on the MoCA, MMSE, HAMD and MDRS I/P were compared between the apathy and non-apathy groups as well as between patients with and without depression. Logistic regression analysis was performed to identify risk factors for apathy and depression following a stroke.ResultsA total of 75 patients with acute stroke were recruited. Of these, 25 (33.3%) developed apathy and 12 (16%) developed depression. Multivariate logistic regression analysis indicated that a history of cerebrovascular disease (OR: 6.45, 95% CI: 1.48-28.05, P = 0.013), low HbA1c (OR: 0.31, 95% CI: 0.12-0.81, P = 0.017) and a low MDRS I/P score (OR: 0.84, 95% CI: 0.74, 0.96, P = 0.010) were risk factors for post-stroke apathy. Additionally, multivariate logistic regression indicated that a low MDRS I/P (OR: 0.85, 95% CI: 0.75, 0.97, P = 0.015) was associated with post-stroke depression.ConclusionsThree risk factors for post-stroke apathy were identified as a history of cerebrovascular disease, low HbA1c and lower MDRS I/P scores. A low MDRS I/P score was also identified as a risk factor for post-stroke depression. These results may be useful to clinicians in recognizing and treating apathy and depression in patients after a stroke.

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AimThe aim of this study was to investigate the association of infarct location with post-stroke executive dysfunction.MethodsOne hundred seventy-seven patients hospitalized with acute infarction were enrolled. General information and NIHSS score at admission were recorded. The infarct site was recorded from magnetic resonance T2-W1 and FLAIR images, and the extent of white matter disease was assessed using the Fazekas score. Seven days after symptoms, executive function was assessed using the validated Chinese version of Mattis Dementia Rating Scale (MDRS) Initiation/Perseveration (I/P) [MDRS I/P].ResultsThe average MDRS I/P score of the 177 infarction patients was 24.16±5.21, considerably lower than the average score (32.7±3.1) of a control group of normal individuals. Patients with infarcts in the corona radiata or basal ganglia had significantly lower MDRS I/P scores that those without infarcts at these locations. The number of infarcts in the basal ganglia was also significantly associated with low MDRS I/P scores. Male gender and low NIHSS score were significantly associated with low MDRS I/P score, and high-density lipoprotein cholesterol was significantly associated with high MDRS I/P score. The number of infarcts in areas other than the basal ganglia as well as corona radiata and the extent of white matter disease had no influence on this score.ConclusionsThe number of infarcts in the basal ganglia corona radiata, low NIHSS score, and male gender are significantly and independently related to poor executive function (that is, low MDRS I/P score) after acute infarct.