Choir singing is associated with enhanced structural connectivity across the adult lifespan.

The global ageing of populations calls for effective, ecologically valid methods to support brain health across adult life. Previous evidence suggests that music can promote white matter (WM) microstructure and grey matter (GM) volume while supporting auditory and cognitive functioning and emotional well-being as well as counteracting age-related cognitive decline. Adding a social component to music training, choir singing is a popular leisure activity among older adults, but a systematic account of its potential to support healthy brain structure, especially with regard to ageing, is currently missing. The present study used quantitative anisotropy (QA)-based diffusion MRI connectometry and voxel-based morphometry to explore the relationship of lifetime choir singing experience and brain structure at the whole-brain level. Cross-sectional multiple regression analyses were carried out in a large, balanced sample (N = 95; age range 21-88) of healthy adults with varying levels of choir singing experience across the whole age range and within subgroups defined by age (young, middle-aged, and older adults). Independent of age, choir singing experience was associated with extensive increases in WM QA in commissural, association, and projection tracts across the brain. Corroborating previous work, these overlapped with language and limbic networks. Enhanced corpus callosum microstructure was associated with choir singing experience across all subgroups. In addition, choir singing experience was selectively associated with enhanced QA in the fornix in older participants. No associations between GM volume and choir singing were found. The present study offers the first systematic account of amateur-level choir singing on brain structure. While no evidence for counteracting GM atrophy was found, the present evidence of enhanced structural connectivity coheres well with age-typical structural changes. Corroborating previous behavioural studies, the present results suggest that regular choir singing holds great promise for supporting brain health across the adult life span.

Deep learning-based white matter lesion volume on CT is associated with outcome after acute ischemic stroke.

BACKGROUND: Intravenous thrombolysis (IVT) before endovascular treatment (EVT) for acute ischemic stroke might induce intracerebral hemorrhages which could negatively affect patient outcomes. Measuring white matter lesions size using deep learning (DL-WML) might help safely guide IVT administration. We aimed to develop, validate, and evaluate a DL-WML volume on CT compared to the Fazekas scale (WML-Faz) as a risk factor and IVT effect modifier in patients receiving EVT directly after IVT. METHODS: We developed a deep-learning model for WML segmentation on CT and validated with internal and external test sets. In a post hoc analysis of the MR CLEAN No-IV trial, we associated DL-WML volume and WML-Faz with symptomatic-intracerebral hemorrhage (sICH) and 90-day functional outcome according to the modified Rankin Scale (mRS). We used multiplicative interaction terms between WML measures and IVT administration to evaluate IVT treatment effect modification. Regression models were used to report unadjusted and adjusted common odds ratios (cOR/acOR). RESULTS: In total, 516 patients from the MR CLEAN No-IV trial (male/female, 291/225; age median, 71 [IQR, 62-79]) were analyzed. Both DL-WML volume and WML-Faz are associated with sICH (DL-WML volume acOR, 1.78 [95%CI, 1.17; 2.70]; WML-Faz acOR, 1.53 95%CI [1.02; 2.31]) and mRS (DL-WML volume acOR, 0.70 [95%CI, 0.55; 0.87], WML-Faz acOR, 0.73 [95%CI 0.60; 0.88]). Only in the unadjusted IVT effect modification analysis WML-Faz was associated with more sICH if IVT was given (p = 0.046). Neither WML measure was associated with worse mRS if IVT was given. CONCLUSION: DL-WML volume and WML-Faz had a similar relationship with functional outcome and sICH. Although more sICH might occur in patients with more severe WML-Faz receiving IVT, no worse functional outcome was observed. CLINICAL RELEVANCE STATEMENT: White matter lesion severity on baseline CT in acute ischemic stroke patients has a similar predictive value if measured with deep learning or the Fazekas scale. Safe administration of intravenous thrombolysis using white matter lesion severity should be further studied. KEY POINTS: White matter damage is a predisposing risk factor for intracranial hemorrhage in patients with acute ischemic stroke but remains difficult to measure on CT. White matter lesion volume on CT measured with deep learning had a similar association with symptomatic intracerebral hemorrhages and worse functional outcome as the Fazekas scale. A patient-level meta-analysis is required to study the benefit of white matter lesion severity-based selection for intravenous thrombolysis before endovascular treatment.

Neuropsychiatric symptoms are associated with exacerbated cognitive impairment in covert cerebral small vessel disease.

OBJECTIVES: Neuropsychiatric symptoms are related to disease progression and cognitive decline over time in cerebral small vessel disease (SVD) but their significance is poorly understood in covert SVD. We investigated neuropsychiatric symptoms and their relationships between cognitive and functional abilities in subjects with varying degrees of white matter hyperintensities (WMH), but without clinical diagnosis of stroke, dementia or significant disability. METHODS: The Helsinki Small Vessel Disease Study consisted of 152 subjects, who underwent brain magnetic resonance imaging (MRI) and comprehensive neuropsychological evaluation of global cognition, processing speed, executive functions, and memory. Neuropsychiatric symptoms were evaluated with the Neuropsychiatric Inventory Questionnaire (NPI-Q, n = 134) and functional abilities with the Amsterdam Instrumental Activities of Daily Living questionnaire (A-IADL, n = 132), both filled in by a close informant. RESULTS: NPI-Q total score correlated significantly with WMH volume (rs = 0.20, p = 0.019) and inversely with A-IADL score (rs = -0.41, p < 0.001). In total, 38% of the subjects had one or more informant-evaluated neuropsychiatric symptom. Linear regressions adjusted for age, sex, and education revealed no direct associations between neuropsychiatric symptoms and cognitive performance. However, there were significant synergistic interactions between neuropsychiatric symptoms and WMH volume on cognitive outcomes. Neuropsychiatric symptoms were also associated with A-IADL score irrespective of WMH volume. CONCLUSIONS: Neuropsychiatric symptoms are associated with an accelerated relationship between WMH and cognitive impairment. Furthermore, the presence of neuropsychiatric symptoms is related to worse functional abilities. Neuropsychiatric symptoms should be routinely assessed in covert SVD as they are related to worse cognitive and functional outcomes.

Synergistic associations of cognitive and motor impairments with functional outcome in covert cerebral small vessel disease.

BACKGROUND: Cognitive and motor impairments are the key clinical manifestations of cerebral small vessel disease (SVD), but their combined effects on functional outcome have not been elucidated. This study investigated the interactions and mediating effects of cognitive and motor functions on instrumental activities of daily living (IADL) and quality of life in older individuals with various degrees of white matter hyperintensities (WMH). METHODS: Participants of the Helsinki Small Vessel Disease Study (n = 152) were assessed according to an extensive clinical, physical, neuropsychological and MRI protocol. Volumes of WMH and gray matter (GM) were obtained with automated segmentation. RESULTS: Cognitive (global cognition, executive functions, processing speed, memory) and motor functions (gait speed, single-leg stance, timed up-and-go) had strong interrelations with each other, and they were significantly associated with IADL, quality of life as well as WMH and GM volumes. A consistent pattern on significant interactions between cognitive and motor functions was found on informant-evaluated IADL, but not on self-evaluated quality of life. The association of WMH volume with IADL was mediated by global cognition, whereas the association of GM volume with IADL was mediated by global cognition and timed up-and-go performance. CONCLUSION: The results highlight the complex interplay and synergism between motor and cognitive abilities on functional outcome in SVD. The combined effect of motor and cognitive disturbances on IADL is likely to be greater than their individual effects. Patients with both impairments are at disproportionate risk for poor outcome. WMH and brain atrophy contribute to disability through cognitive and motor impairment.

Perceived Injustice After Mild Traumatic Brain Injury.

OBJECTIVE: To examine perceived injustice and its associations with self-reported symptoms and return to work at 3 months after injury in a prospectively recruited sample of patients with mild traumatic brain injury (mTBI). DESIGN: Observational study. SETTING: TBI outpatient unit. PARTICIPANTS: Adult patients aged 18 to 68 years with mTBI (n = 100) or orthopedic injury ([OI]; n = 34). MAIN MEASURES: The Injustice Experience Questionnaire (IEQ) and its associations with the Rivermead Post Concussion Questionnaire (RPQ), Beck Depression Inventory-Second Edition (BDI-II), PTSD Checklist-Civilian Version (PCL-C), and Pain Visual Analog Scale (PVAS). Information on injury-related characteristics, compensation seeking and litigation, and return-to-work status was also collected. RESULTS: Median IEQ total score was 3 (range, 0-23) in the mTBI group and 2.5 (range, 0-25) in the OI group. In the mTBI group, IEQ was significantly correlated with RPQ (rs = 0.638, P < .01), BDI-II (rs = 0.612, P < .01), PCL-C (rs = 0.679, P < .01), and PVAS (rs = 0.232, P < .05). The association between IEQ and PCL-C (rs =0.797, P < .01) and BDI-II (rs = 0.395, P < .05) was also found in the OI group. In both groups, patients who were still on sick leave at 3 months after injury tended to report higher perceived injustice (IEQ total score) than patients who had returned to work or studies. However, this difference did not reach statistical significance. CONCLUSIONS: Perceived injustice is associated with self-reported symptoms in patients with mTBI. Our results suggest that perceived injustice could be a relevant construct to consider in clinical management of patients with mTBI. Also, perceived injustice could be a potential target for psychological interventions promoting recovery after mTBI.

Return to work after mild traumatic brain injury: association with positive CT and MRI findings.

BACKGROUND: Return to work (RTW) might be delayed in patients with complicated mild traumatic brain injury (MTBI), i.e., MTBI patients with associated traumatic intracranial lesions. However, the effect of different types of lesions on RTW has not studied before. We investigated whether traumatic intracranial lesions detected by CT and MRI are associated with return to work and post-concussion symptoms in patients with MTBI. METHODS: We prospectively followed up 113 adult patients with MTBI that underwent a brain MRI within 3-17 days after injury. Return to work was assessed with one-day accuracy up to one year after injury. Rivermead Post-Concussion Symptoms Questionnaire (RPQ) and Glasgow Outcome Scale Extended (GOS-E) were conducted one month after injury. A Kaplan-Meier log-rank analysis was performed to analyze the differences in RTW. RESULTS: Full RTW-% one year after injury was 98%. There were 38 patients with complicated MTBI, who had delayed median RTW compared to uncomplicated MTBI group (17 vs. 6 days), and more post-concussion symptoms (median RPQ 12.0 vs. 6.5). Further, RTW was more delayed in patients with multiple types of traumatic intracranial lesions visible in MRI (31 days, n = 19) and when lesions were detected in the primary CT (31 days, n = 24). There were no significant differences in GOS-E. CONCLUSIONS: The imaging results that were most clearly associated with delayed RTW were positive primary CT and multiple types of lesions in MRI. RTW-% of patients with MTBI was excellent and a single intracranial lesion does not seem to be a predictive factor of disability to work.

Effects of neurological music therapy on behavioural and emotional recovery after traumatic brain injury: A randomized controlled cross-over trial.

Traumatic brain injury (TBI) causes deficits in executive function (EF), as well as problems in behavioural and emotional self-regulation. Neurological music therapy may aid these aspects of recovery. We performed a cross-over randomized controlled trial where 40 persons with moderate-severe TBI received a 3-month neurological music therapy intervention (2 times/week, 60 min/session), either during the first (AB, n = 20) or second (BA, n = 20) half of a 6-month follow-up period. The evidence from this RCT previously demonstrated that music therapy enhanced general EF and set shifting. In the current study, outcome was assessed with self-report and caregiver-report questionnaires performed at baseline, 3-month, 6-month, and 18-month stages. The results showed that the self-reported Behavioural Regulation Index of the Behaviour Rating Inventory of Executive Function (BRIEF-A) improved more in the AB than BA group from baseline to 3-month stage and the effect was maintained in the 6-month follow-up. No changes in mood or quality of life questionnaires were observed. However, a qualitative content analysis of the feedback revealed that many participants experienced the intervention as helpful in terms of emotional well-being and activity. Our results suggest that music therapy has a positive effect on everyday behavioural regulation skills after TBI.

Post-traumatic headache after mild traumatic brain injury in a one-year follow up study - risk factors and return to work.

BACKGROUND: Post-traumatic headache (PTH) is a common symptom following mild traumatic brain injury (mTBI). Patients at risk to develop acute PTH (aPTH) and further persistent PTH (pPTH) need to be recognized. METHODS: This is a one-year follow-up of 127 patients with mTBI, aged 18 to 68, referred to outpatient clinic in the Helsinki University Hospital. Symptoms were assessed at the emergency department (ED), with structured interview at outpatient clinic visit and with Rivermead post-concussion symptom questionnaire at one, three, and 12 months after injury. Psychiatric disorders were assessed with Structured Clinical Interview for DSM-IV Axis I disorders at 3-4 months and return to work (RTW) from patient records. RESULTS: At one month, 77/127 patients (61%) had aPTH. According to multiple logistic regression analysis, risk factors for aPTH were headache at the emergency department (ED) (OR 5.43), other pain (OR 3.19), insomnia (OR 3.23), and vertigo (OR 5.98). At three months, 17 patients (22% of aPTH patients) had developed pPTH, and at one year, 4 patients (24% of pPTH patients) still presented with pPTH. Risk factors for pPTH at three months were older age (OR 1.06) and current insomnia (OR 12.3). The frequency of psychiatric disorders did not differ between the groups. pPTH patients performed worse on their RTW. CONCLUSIONS: Risk factors for aPTH were insomnia, headache at ED, other pain, and vertigo and for pPTH, insomnia and older age. RTW rate was lower among pPTH patients.

Associations of cognitive reserve and psychological resilience with cognitive functioning in subjects with cerebral white matter hyperintensities.

BACKGROUND AND PURPOSE: Cerebral small vessel disease is characterized by progressive white matter hyperintensities (WMH) and cognitive decline. However, variability exists in how individuals maintain cognitive capabilities despite significant neuropathology. The relationships between individual cognitive reserve, psychological resilience and cognitive functioning were examined in subjects with varying degrees of WMH. METHODS: In the Helsinki Small Vessel Disease Study, 152 subjects (aged 65-75 years) underwent a comprehensive neuropsychological assessment, evaluation of subjective cognitive complaints and brain magnetic resonance imaging with volumetric WMH evaluation. Cognitive reserve was determined by education (years) and the modified Cognitive Reserve Scale (mCRS). Psychological resilience was evaluated with the Resilience Scale 14. RESULTS: The mCRS total score correlated significantly with years of education (r = 0.23, p < 0.01), but it was not related to age, sex or WMH volume. Together, mCRS score and education were associated with performance in a wide range of cognitive domains including processing speed, executive functions, working memory, verbal memory, visuospatial perception and verbal reasoning. Independently of education, the mCRS score had incremental predictive value on delayed verbal recall and subjective cognitive complaints. Psychological resilience was not significantly related to age, education, sex, WMH severity or cognitive test scores, but it was associated with subjective cognitive complaints. CONCLUSIONS: Cognitive reserve has strong and consistent associations with cognitive functioning in subjects with WMH. Education is widely associated with objective cognitive functioning, whereas lifetime engagement in cognitively stimulating leisure activities (mCRS) has independent predictive value on memory performance and subjective cognitive complaints. Psychological resilience is strongly associated with subjective, but not objective, cognitive functioning.

A novel CT-based automated analysis method provides comparable results with MRI in measuring brain atrophy and white matter lesions.

PURPOSE: Automated analysis of neuroimaging data is commonly based on magnetic resonance imaging (MRI), but sometimes the availability is limited or a patient might have contradictions to MRI. Therefore, automated analyses of computed tomography (CT) images would be beneficial. METHODS: We developed an automated method to evaluate medial temporal lobe atrophy (MTA), global cortical atrophy (GCA), and the severity of white matter lesions (WMLs) from a CT scan and compared the results to those obtained from MRI in a cohort of 214 subjects gathered from Kuopio and Helsinki University Hospital registers from 2005 - 2016. RESULTS: The correlation coefficients of computational measures between CT and MRI were 0.9 (MTA), 0.82 (GCA), and 0.86 (Fazekas). CT-based measures were identical to MRI-based measures in 60% (MTA), 62% (GCA) and 60% (Fazekas) of cases when the measures were rounded to the nearest full grade variable. However, the difference in measures was 1 or less in 97-98% of cases. Similar results were obtained for cortical atrophy ratings, especially in the frontal and temporal lobes, when assessing the brain lobes separately. Bland-Altman plots and weighted kappa values demonstrated high agreement regarding measures based on CT and MRI. CONCLUSIONS: MTA, GCA, and Fazekas grades can also be assessed reliably from a CT scan with our method. Even though the measures obtained with the different imaging modalities were not identical in a relatively extensive cohort, the differences were minor. This expands the possibility of using this automated analysis method when MRI is inaccessible or contraindicated.

Resting-State Network Plasticity Induced by Music Therapy after Traumatic Brain Injury.

Traumatic brain injury (TBI) is characterized by a complex pattern of abnormalities in resting-state functional connectivity (rsFC) and network dysfunction, which can potentially be ameliorated by rehabilitation. In our previous randomized controlled trial, we found that a 3-month neurological music therapy intervention enhanced executive function (EF) and increased grey matter volume in the right inferior frontal gyrus (IFG) in patients with moderate-to-severe TBI (N = 40). Extending this study, we performed longitudinal rsFC analyses of resting-state fMRI data using a ROI-to-ROI approach assessing within-network and between-network rsFC in the frontoparietal (FPN), dorsal attention (DAN), default mode (DMN), and salience (SAL) networks, which all have been associated with cognitive impairment after TBI. We also performed a seed-based connectivity analysis between the right IFG and whole-brain rsFC. The results showed that neurological music therapy increased the coupling between the FPN and DAN as well as between these networks and primary sensory networks. By contrast, the DMN was less connected with sensory networks after the intervention. Similarly, there was a shift towards a less connected state within the FPN and SAL networks, which are typically hyperconnected following TBI. Improvements in EF were correlated with rsFC within the FPN and between the DMN and sensorimotor networks. Finally, in the seed-based connectivity analysis, the right IFG showed increased rsFC with the right inferior parietal and left frontoparietal (Rolandic operculum) regions. Together, these results indicate that the rehabilitative effects of neurological music therapy after TBI are underpinned by a pattern of within- and between-network connectivity changes in cognitive networks as well as increased connectivity between frontal and parietal regions associated with music processing.

Post-Stroke Cognitive Impairment is Frequent After Infra-Tentorial Infarct.

BACKGROUND AND PURPOSE: Post-stroke cognitive impairment is a common and well-known consequence of supra-tentorial infarct, but its prevalence and severity after infra-tentorial infarct is unclear. We compared the frequencies and prognostic value of domain-specific cognitive deficits after supra-tentorial and infra-tentorial infarct. METHODS: In a consecutive cohort of patients with first-ever stroke (N = 244) admitted to Helsinki University Hospital, 37 patients had an infra-tentorial infarct. Patients were assessed with a comprehensive neuropsychological examination 3 months post-stroke covering 9 cognitive domains and functional disability was assessed at 15 months with the modified Rankin Scale. RESULTS: There were no statistically significant differences between the frequencies of cognitive deficits in patients with infra-tentorial vs supra-tentorial infarct. Altogether 73% of patients with infra-tentorial infarct and 82% of patients with supra-tentorial infarct had impairment in at least one cognitive domain. Further 42% of patients with infra-tentorial infarct and 47% of those with supra-tentorial infarct had deficits in 3 or more cognitive domains. In patients with infra-tentorial infarct, visuo-constructional deficits were significantly associated with functional disability at 15 months (OR 9.0, 95%CI 1.3-62.5, p = 0.027). In patients with supratentorial infarct, executive deficits (OR 2.9, 95%CI 1.5-5.8, p = 0.002) and visuo-constructional deficits (OR 2.9, 95%CI 1.5-5.7, p = 0.001) showed associations with functional disability at 15 months. CONCLUSION: Cognitive deficits are as common in patients with infra-tentorial infarct as in those with supra-tentorial infarct, and it is important to recognize them to meet the needs of rehabilitation.

Global Burden of Small Vessel Disease-Related Brain Changes on MRI Predicts Cognitive and Functional Decline.

Background and Purpose- Cerebral small vessel disease is characterized by a wide range of focal and global brain changes. We used a magnetic resonance imaging segmentation tool to quantify multiple types of small vessel disease-related brain changes and examined their individual and combined predictive value on cognitive and functional abilities. Methods- Magnetic resonance imaging scans of 560 older individuals from LADIS (Leukoaraiosis and Disability Study) were analyzed using automated atlas- and convolutional neural network-based segmentation methods yielding volumetric measures of white matter hyperintensities, lacunes, enlarged perivascular spaces, chronic cortical infarcts, and global and regional brain atrophy. The subjects were followed up with annual neuropsychological examinations for 3 years and evaluation of instrumental activities of daily living for 7 years. Results- The strongest predictors of cognitive performance and functional outcome over time were the total volumes of white matter hyperintensities, gray matter, and hippocampi (P<0.001 for global cognitive function, processing speed, executive functions, and memory and P<0.001 for poor functional outcome). Volumes of lacunes, enlarged perivascular spaces, and cortical infarcts were significantly associated with part of the outcome measures, but their contribution was weaker. In a multivariable linear mixed model, volumes of white matter hyperintensities, lacunes, gray matter, and hippocampi remained as independent predictors of cognitive impairment. A combined measure of these markers based on Z scores strongly predicted cognitive and functional outcomes (P<0.001) even above the contribution of the individual brain changes. Conclusions- Global burden of small vessel disease-related brain changes as quantified by an image segmentation tool is a powerful predictor of long-term cognitive decline and functional disability. A combined measure of white matter hyperintensities, lacunar, gray matter, and hippocampal volumes could be used as an imaging marker associated with vascular cognitive impairment.

Evaluating severity of white matter lesions from computed tomography images with convolutional neural network.

PURPOSE: Severity of white matter lesion (WML) is typically evaluated on magnetic resonance images (MRI), yet the more accessible, faster, and less expensive method is computed tomography (CT). Our objective was to study whether WML can be automatically segmented from CT images using a convolutional neural network (CNN). The second aim was to compare CT segmentation with MRI segmentation. METHODS: The brain images from the Helsinki University Hospital clinical image archive were systematically screened to make CT-MRI image pairs. Selection criteria for the study were that both CT and MRI images were acquired within 6 weeks. In total, 147 image pairs were included. We used CNN to segment WML from CT images. Training and testing of CNN for CT was performed using 10-fold cross-validation, and the segmentation results were compared with the corresponding segmentations from MRI. RESULTS: A Pearson correlation of 0.94 was obtained between the automatic WML volumes of MRI and CT segmentations. The average Dice similarity index validating the overlap between CT and FLAIR segmentations was 0.68 for the Fazekas 3 group. CONCLUSION: CNN-based segmentation of CT images may provide a means to evaluate the severity of WML and establish a link between CT WML patterns and the current standard MRI-based visual rating scale.

Haptoglobin Hp2 Variant Promotes Premature Cardiovascular Death in Stroke Survivors.

BACKGROUND AND PURPOSE: Haptoglobin (Hp) is an acute phase plasma protein protecting tissues from oxidative damage. It exists in 2 variant alleles (hp1/hp2) giving rise to 3 protein isoforms with different biochemical properties and efficiency to limit oxidative stress. We previously found that hp2 variant is associated with stroke risk in the patients with carotid stenosis and the risk of ischemic cardiovascular events in a general population cohort. This study examined the hypothesis that Hp genotype is associated with general cardiovascular risk in patients with stroke. METHODS: Hp was genotyped in SAM study (Helsinki Stroke Aging Memory, n=378). A total of 1426 individuals ascertained from a nationally representative cross-sectional health survey served as population controls. RESULTS: Hp genotype frequencies were 15.6% (hp1-1), 44.2% (hp1-2), and 40.2% (hp2-2) in patients with stroke. During a mean of 7.5-year follow-up after first-ever stroke, hp2 carriers had a substantially higher rate of cardiac deaths (24.5% versus 8.5%; P=0.006) and a trend toward more fatal strokes (23.5% versus 13.6%; P=0.122). The combined risk of ischemic cardiovascular deaths was 2.4-fold higher among hp2 carriers (95% confidence interval, 1.28-4.43) after adjustment for major cardiovascular risk factors. CONCLUSIONS: Hp2 allele is associated with premature ischemic cardiovascular deaths after first-ever ischemic stroke.

Cerebral white matter lesions and post-thrombolytic remote parenchymal hemorrhage.

OBJECTIVE: Parenchymal hematoma (PH) following intravenous thrombolysis (IVT) in ischemic stroke can occur either within the ischemic area (iPH) or as a remote PH (rPH). The latter could be, at least partly, related to cerebral amyloid angiopathy, which belongs to the continuum of cerebral small vessel disease. We hypothesized that cerebral white matter lesions (WMLs)-an imaging surrogate of small vessel disease-are associated with a higher rate of rPH. METHODS: We analyzed 2,485 consecutive patients treated with IVT at the Helsinki University Hospital. Blennow rating scale of 5 to 6 points on baseline computed tomographic head scans was considered as severe WMLs. An rPH was defined as hemorrhage that-contrary to iPH-appears in brain regions without visible ischemic damage and is clinically not related to the symptomatic acute lesion site. The associations between severe WMLs and pure rPH versus no PH, pure iPH versus no PH, and pure rPH versus pure iPH were studied in multivariate logistic regression models. RESULTS: rPHs were mostly (74%) located in lobar regions. After adjustments, the presence of severe WMLs was associated with pure rPH (odds ratio [OR] = 6.79, 95% confidence interval [CI] = 2.57-17.94) but not with pure iPH (OR = 1.45, 95% CI = 0.83-2.53) when compared to patients with no PH. In direct comparison of pure rPH with pure iPH, severe cerebral WMLs were further associated with higher iPH rates (OR = 3.60, 95% CI = 1.06-12.19). INTERPRETATION: Severe cerebral WMLs were associated with post-thrombolytic rPH but not with iPH within the ischemic area. Ann Neurol 2016;80:593-599.

Cognitive reserve moderates long-term cognitive and functional outcome in cerebral small vessel disease.

BACKGROUND: Cerebral small vessel disease (SVD) is characterised by progressive white matter hyperintensities (WMH), cognitive decline and loss of functional independence. The correspondence between neuroimaging findings and the severity of clinical symptoms has been modest, however, and thus the outcome may be affected by various host factors. We investigated the predictive value of educational and occupational attainments as proxy measures of cognitive reserve on long-term cognitive and functional outcome in patients with different degrees of WMH. METHODS: In the Leukoaraiosis and Disability (LADIS) study, 615 older individuals with WMH were evaluated with brain MRI and detailed clinical and neuropsychological assessments at 3-year follow-up. A prolonged follow-up of functional and cognitive status was administered with a structured telephone interview after up to 7 years. RESULTS: Higher levels of educational and occupational attainment were strongly related to baseline cognitive scores and predicted a slower rate of decline at 3-year follow-up in measures of processing speed, executive functions and memory independently of WMH volume and other confounders. The deleterious effect of WMH on processing speed and memory was moderated by education and occupation. Education mitigated the relation of WMH volume on 7-year cognitive status. Moreover, higher education and occupational attainments were related to favourable outcome at 7-year follow-up as defined by sustained functional independence and lower mortality. CONCLUSIONS: The results support the presumption that cognitive reserve plays a significant role as a buffer against the clinical manifestations of SVD and may in part explain high individual variability in outcome.

Cancer in young adults with ischemic stroke.

BACKGROUND AND PURPOSE: Cancer is a risk factor for ischemic stroke. Little is known about cancer among young adults with ischemic stroke. We studied the frequency of cancer and its association with long-term risk of death among young patients with first-ever ischemic stroke. METHODS: 1002 patients aged 15 to 49 years, registered in the Helsinki Young Stroke Registry, and with a median follow-up of 10.0 years (interquartile range 6.5-13.8) after stroke were included. Historical and follow-up data were derived from the Finnish Care Register and Statistics Finland. Survival between groups was compared with the Kaplan-Meier life-table method, and Cox proportional hazard models were used to identify factors associated with mortality. RESULTS: One or more cancer diagnosis was made in 77 (7.7%) patients, of whom 39 (3.9%) had cancer diagnosed prestroke. During the poststroke follow-up, 41 (53.2%) of the cancer patients died. Median time from prestroke cancer to stroke was 4.9 (1.0-9.5) years and from stroke to poststroke cancer was 6.7 (2.7-10.9) years. Poststroke cancer was associated with age>40 years, heavy drinking, and cigarette smoking. The cumulative mortality was significantly higher among the cancer patients (68.6%, 95% confidence interval 52.0%-85.3%) compared with patients without cancer (19.7%, 95% confidence interval 16.3%-23.2%). Active cancer at index stroke, melanoma, and lung/respiratory tract cancer had the strongest independent association with death during the follow-up when adjusted for known poststroke mortality prognosticators. CONCLUSIONS: Cancer, and especially active cancer and no other apparent cause for stroke, is associated with unfavorable survival among young stroke patients.

Cerebral computed tomography-graded white matter lesions are associated with worse outcome after thrombolysis in patients with stroke.

BACKGROUND AND PURPOSE: Compared with other stroke causes, small-vessel disease is associated with better 3-month outcomes in patients with acute ischemic stroke treated with intravenous thrombolysis. Another question is the impact of coexisting cerebral white matter lesions (WMLs; a surrogate marker of small-vessel disease) on outcome, which was addressed in the current study. METHODS: We analyzed 2485 consecutive intravenous thrombolysis-treated patients at the Helsinki University Central Hospital, 2001 to 2014. WMLs were scored according to 4 previously published computed tomographic visual rating scales from all baseline head scans. The inter-rater agreement was calculated. The primary outcome measure was shift analysis, and the secondary examined all possible binary cutoffs in the modified Rankin Scale at 3 months. The associations of modified Rankin Scale with nominal, ordinal, and continuous variables were analyzed in univariate and adjusted in multivariate binary and ordinal regression (shift analysis) models. RESULTS: In univariate and multivariate regression analyses, all 4 tested visual WML rating scales (as continuous variables, or dichotomized at different cutoff points) were associated with worse outcome at all binary levels and in shift analyses of the modified Rankin Scale. After adjusting for confounders, the statistically strongest association in shift analyses remained for the Blennow scale dichotomized at >3 points, reflecting at least moderate WMLs (odds ratio, 1.90; 95% confidence interval, 1.48-2.44). CONCLUSIONS: WMLs on admission computed tomographic scan are independently associated with worse outcome in intravenous thrombolysis-treated patients with stroke.

White Matter Lesions Double the Risk of Post-Thrombolytic Intracerebral Hemorrhage.

BACKGROUND AND PURPOSE: Cerebral white matter lesions (WMLs), a surrogate for small-vessel disease, are common in patients with stroke and may be related to an increased intracranial bleeding risk after intravenous thrombolysis in acute ischemic stroke. We aimed to investigate the risk of symptomatic intracerebral hemorrhage (sICH) in the presence of WMLs in a large cohort of ischemic stroke patients treated with intravenous thrombolysis. METHODS: We included 2485 consecutive patients treated with intravenous thrombolysis at the Helsinki University Central Hospital. WMLs were scored according to 4 previously published computed tomography visual rating scales from all baseline head scans. A sICH was classified according to the European Cooperative Acute Stroke Study II criteria. The associations of sICH with nominal, ordinal, and continuous variables were analyzed in a univariate binary regression model and adjusted in multivariate binary regression models. RESULTS: In univariate and multivariate regression analyses, all 4 tested visual WML rating scales (as continuous variables or dichotomized at different cutoff points) were associated with increased risk of sICH. In binary analyses, WML doubled the bleeding risk: the odds ratios of all 4 visual rating scales ranged from 2.22 (95% confidence interval, 1.49-3.30) to 2.70 (1.87-3.90) in univariable and from 2.00 (1.26-3.16) to 2.62 (1.71-4.02) in multivariable analyses. The multivariable-adjusted odds ratio for the association of high load of WMLs with remote parenchymal hemorrhage was 4.11 (2.38-7.10). CONCLUSIONS: WMLs visible on computed tomography are associated with a more than doubled risk of sICH in patients treated with intravenous thrombolysis for acute ischemic stroke.