Functional (un-)Coupling: Impairment, Compensation, and Future Progression in Alzheimer's Disease.

Background: Functional (un-)coupling (task-related change of functional connectivity) between different sites of the brain is a mechanism of general importance for cognitive processes. In Alzheimer's disease (AD), prior research identified diminished cortical connectivity as a hallmark of the disease. However, little is known about the relation between the amount of functional (un-)coupling and cognitive performance and decline in AD. Method: Cognitive performance (based on CERAD-Plus scores) and electroencephalogram (EEG)-based functional (un-)coupling measures (connectivity changes from rest to a Face-Name-Encoding task) were assessed in 135 AD patients (age: M = 73.8 years; SD = 9.0). Of these, 68 patients (M = 73.9 years; SD = 8.9) participated in a follow-up assessment of their cognitive performance 1.5 years later. Results: The amounts of functional (un-)coupling in left anterior-posterior and homotopic interhemispheric connections in beta1-band were related to cognitive performance at baseline (ß = .340; p < .001; ß = .274; P = .001, respectively). For both markers, a higher amount of functional coupling was associated with better cognitive performance. Both markers also were significant predictors for cognitive decline. However, while patients with greater functional coupling in left anterior-posterior connections declined less in cognitive performance (ß = .329; P = .035) those with greater functional coupling in interhemispheric connections declined more (ß = -.402; P = .010). Conclusion: These findings suggest an important role of functional coupling mechanisms in left anterior-posterior and interhemispheric connections in AD. Especially the complex relationship with cognitive decline in AD patients might be an interesting aspect for future studies.

Pre-trained MRI-based Alzheimer's disease classification models to classify memory clinic patients.

Anatomical magnetic resonance imaging (MRI), diffusion MRI and resting state functional MRI (rs-fMRI) have been used for Alzheimer's disease (AD) classification. These scans are typically used to build models for discriminating AD patients from control subjects, but it is not clear if these models can also discriminate AD in diverse clinical populations as found in memory clinics. To study this, we trained MRI-based AD classification models on a single centre data set consisting of AD patients (N = 76) and controls (N = 173), and used these models to assign AD scores to subjective memory complainers (N = 67), mild cognitive impairment (MCI) patients (N = 61), and AD patients (N = 61) from a multi-centre memory clinic data set. The anatomical MRI scans were used to calculate grey matter density, subcortical volumes and cortical thickness, the diffusion MRI scans were used to calculate fractional anisotropy, mean, axial and radial diffusivity, and the rs-fMRI scans were used to calculate functional connectivity between resting state networks and amplitude of low frequency fluctuations. Within the multi-centre memory clinic data set we removed scan site differences prior to applying the models. For all models, on average, the AD patients were assigned the highest AD scores, followed by MCI patients, and later followed by SMC subjects. The anatomical MRI models performed best, and the best performing anatomical MRI measure was grey matter density, separating SMC subjects from MCI patients with an AUC of 0.69, MCI patients from AD patients with an AUC of 0.70, and SMC patients from AD patients with an AUC of 0.86. The diffusion MRI models did not generalise well to the memory clinic data, possibly because of large scan site differences. The functional connectivity model separated SMC subjects and MCI patients relatively good (AUC = 0.66). The multimodal MRI model did not improve upon the anatomical MRI model. In conclusion, we showed that the grey matter density model generalises best to memory clinic subjects. When also considering the fact that grey matter density generally performs well in AD classification studies, this feature is probably the best MRI-based feature for AD diagnosis in clinical practice.

Detection of mild cognitive impairment in a community-dwelling population using quantitative, multiparametric MRI-based classification.

Early and accurate mild cognitive impairment (MCI) detection within a heterogeneous, nonclinical population is needed to improve care for persons at risk of developing dementia. Magnetic resonance imaging (MRI)-based classification may aid early diagnosis of MCI, but has only been applied within clinical cohorts. We aimed to determine the generalizability of MRI-based classification probability scores to detect MCI on an individual basis within a general population. To determine classification probability scores, an AD, mild-AD, and moderate-AD detection model were created with anatomical and diffusion MRI measures calculated from a clinical Alzheimer's Disease (AD) cohort and subsequently applied to a population-based cohort with 48 MCI and 617 normal aging subjects. Each model's ability to detect MCI was quantified using area under the receiver operating characteristic curve (AUC) and compared with an MCI detection model trained and applied to the population-based cohort. The AD-model and mild-AD identified MCI from controls better than chance level (AUC = 0.600, p = 0.025; AUC = 0.619, p = 0.008). In contrast, the moderate-AD-model was not able to separate MCI from normal aging (AUC = 0.567, p = 0.147). The MCI-model was able to separate MCI from controls better than chance (p = 0.014) with mean AUC values comparable with the AD-model (AUC = 0.611, p = 1.0). Within our population-based cohort, classification models detected MCI better than chance. Nevertheless, classification performance rates were moderate and may be insufficient to facilitate robust MRI-based MCI detection on an individual basis. Our data indicate that multiparametric MRI-based classification algorithms, that are effective in clinical cohorts, may not straightforwardly translate to applications in a general population.

A comprehensive analysis of resting state fMRI measures to classify individual patients with Alzheimer's disease.

Alzheimer's disease (AD) patients show altered patterns of functional connectivity (FC) on resting state functional magnetic resonance imaging (RSfMRI) scans. It is yet unclear which RSfMRI measures are most informative for the individual classification of AD patients. We investigated this using RSfMRI scans from 77 AD patients (MMSE = 20.4 ± 4.5) and 173 controls (MMSE = 27.5 ± 1.8). We calculated i) FC matrices between resting state components as obtained with independent component analysis (ICA), ii) the dynamics of these FC matrices using a sliding window approach, iii) the graph properties (e.g., connection degree, and clustering coefficient) of the FC matrices, and iv) we distinguished five FC states and administered how long each subject resided in each of these five states. Furthermore, for each voxel we calculated v) FC with 10 resting state networks using dual regression, vi) FC with the hippocampus, vii) eigenvector centrality, and viii) the amplitude of low frequency fluctuations (ALFF). These eight measures were used separately as predictors in an elastic net logistic regression, and combined in a group lasso logistic regression model. We calculated the area under the receiver operating characteristic curve plots (AUC) to determine classification performance. The AUC values ranged between 0.51 and 0.84 and the highest were found for the FC matrices (0.82), FC dynamics (0.84) and ALFF (0.82). The combination of all measures resulted in an AUC of 0.85. We show that it is possible to obtain moderate to good AD classification using RSfMRI scans. FC matrices, FC dynamics and ALFF are most discriminative and the combination of all the resting state measures improves classification accuracy slightly.

[Migraine prophylaxis with trigger point therapy and lymphatic drainage : A pilot study]. / Triggerpunkt-Therapie und Manuelle Lymphdrainage in der Migräne-Prophylaxe : Eine Pilot-Studie.

Migraine is a complex, multifactorial, neurovascular disorder of the brain. Patients frequently have pericranial trigger points, but trigger point (TP) therapy for migraine has not yet been adequately studied. In contrast, lymphatic drainage (LD) has been studied in patients with migraine. The multifactorial origin of migraine suggests using a combination of approaches such as TP therapy and lymphatic drainage. The present study evaluated the effectiveness of TP therapy alone and in combination with LD in preventing migraine during treatment period and over an 8­week period after completion of treatment. A wait list control group served as a control group. Patients completed a headache calendar. The results of this pilot study suggest a beneficial effect for TP alone and TP combined with LD for migraine prophylaxis for 8 weeks after completion of treatment.

Individual classification of Alzheimer's disease with diffusion magnetic resonance imaging.

Diffusion magnetic resonance imaging (MRI) is a powerful non-invasive method to study white matter integrity, and is sensitive to detect differences in Alzheimer's disease (AD) patients. Diffusion MRI may be able to contribute towards reliable diagnosis of AD. We used diffusion MRI to classify AD patients (N=77), and controls (N=173). We use different methods to extract information from the diffusion MRI data. First, we use the voxel-wise diffusion tensor measures that have been skeletonised using tract based spatial statistics. Second, we clustered the voxel-wise diffusion measures with independent component analysis (ICA), and extracted the mixing weights. Third, we determined structural connectivity between Harvard Oxford atlas regions with probabilistic tractography, as well as graph measures based on these structural connectivity graphs. Classification performance for voxel-wise measures ranged between an AUC of 0.888, and 0.902. The ICA-clustered measures ranged between an AUC of 0.893, and 0.920. The AUC for the structural connectivity graph was 0.900, while graph measures based upon this graph ranged between an AUC of 0.531, and 0.840. All measures combined with a sparse group lasso resulted in an AUC of 0.896. Overall, fractional anisotropy clustered into ICA components was the best performing measure. These findings may be useful for future incorporation of diffusion MRI into protocols for AD classification, or as a starting point for early detection of AD using diffusion MRI.

Combining anatomical, diffusion, and resting state functional magnetic resonance imaging for individual classification of mild and moderate Alzheimer's disease.

Magnetic resonance imaging (MRI) is sensitive to structural and functional changes in the brain caused by Alzheimer's disease (AD), and can therefore be used to help in diagnosing the disease. Improving classification of AD patients based on MRI scans might help to identify AD earlier in the disease's progress, which may be key in developing treatments for AD. In this study we used an elastic net classifier based on several measures derived from the MRI scans of mild to moderate AD patients (N = 77) from the prospective registry on dementia study and controls (N = 173) from the Austrian Stroke Prevention Family Study. We based our classification on measures from anatomical MRI, diffusion weighted MRI and resting state functional MRI. Our unimodal classification performance ranged from an area under the curve (AUC) of 0.760 (full correlations between functional networks) to 0.909 (grey matter density). When combining measures from multiple modalities in a stepwise manner, the classification performance improved to an AUC of 0.952. This optimal combination consisted of grey matter density, white matter density, fractional anisotropy, mean diffusivity, and sparse partial correlations between functional networks. Classification performance for mild AD as well as moderate AD also improved when using this multimodal combination. We conclude that different MRI modalities provide complementary information for classifying AD. Moreover, combining multiple modalities can substantially improve classification performance over unimodal classification.

Impact of depression and anxiety on burden and management of episodic and chronic headaches - a cross-sectional multicentre study in eight Austrian headache centres.

BACKGROUND: Recurrent and especially chronic headaches are associated with psychiatric comorbidities such as depression and anxiety. Only few studies examined the impact of depression and anxiety on episodic (EH) and chronic headache (CH), and data for Austria are missing at all. Therefore, the aim of the present study was to assess the impact of depression and anxiety on burden and management of EH and CH in patients from eight Austrian headache centres. METHODS: We included 392 patients (84.1 % female, mean age 40.4 ± 14.0 years) who completed the Eurolight questionnaire. The treating physician recorded details about ever-before prophylactic medications. We used Hospital Anxiety and Depression Scale to assess depression and anxiety and compared patients with anxiety and/or depression to those without. RESULTS: Depression and anxiety were more common in CH than in EH (64 % vs. 41 %, p < 0.0001). Presence compared to absence of depression and anxiety increased the prevalence of poor or very poor quality of life from 0.7 % to 13.1 % in EH and from 3.6 % to 40.3 % in CH (p = 0.001; p < 0.0001). Depression and anxiety had a statistically significant impact on employment status and on variables related to the burden of headache such as reduced earnings, being less successful in career, or feeling less understood. Neither in EH nor in CH health care use and the ever-before use of prophylactic medication was correlated with anxiety and/or depression. CONCLUSION: Depression and anxiety have a significant impact on quality of life and increase the burden in patients with EH and CH. Improved multidimensional treatment approaches are necessary to decrease disability on the personal, social and occupational level in these patients.

Prevalence, management and burden of episodic and chronic headaches--a cross-sectional multicentre study in eight Austrian headache centres.

BACKGROUND: Episodic and chronic headaches (EH, CH) are highly prevalent disorders. Severely affected patients are usually referred to headache centres. In Austria, at least one headache centre is available in seven of nine states, but detailed multicentre data are missing. Therefore we studied prevalence rates, use of medication and health care services, impact of headaches, and comorbid depression and anxiety. METHODS: We included consecutive patients from eight Austrian outpatient headache centres. The patients filled-in the Eurolight questionnaire. In addition, the treating neurologist completed a questionnaire on clinical diagnoses and ever-before prophylactic medications. RESULTS: Of 598 patients screened, 441 questionnaires were analysed (79 % female, mean age 41.1 years). According to the Eurolight algorithm, 56.4 % of the patients had EH, 38.3 % had CH and 5.2 % did not give their headache frequency. The prevalence rates of migraine, tension-type headache, and probable medication overuse headache (pMOH) were 48.5 %, 6.3 % and 15.9 %, respectively. The concordance between clinical and Eurolight diagnoses was good for EH and moderate for CH. During the preceding month, acute medication was used by 90.9 % of the patients and prophylactic medication by 34 %. Ever-before use of five standard prophylactic drugs was recorded in 52.3 %. The proportion of patients with current pharmacoprophylaxis did not differ in EH and CH, whereas ever-before use was more common in CH (62.5 % was 45,3 %, p = 0.02). Patients with CH significantly more often consulted general practitioners and emergency departments, had a lower quality of life and more often signs of depression and anxiety. CONCLUSION: This study provides comprehensive data from eight Austrian headache centres for the first time. We found a substantial number of patients with CH including pMOH and its association with more common utilization of health care facilities and greater burden. The low use of prophylactic medication requires further examination.

Predictors of patient dependence in mild-to-moderate Alzheimer's disease.

BACKGROUND: Patient dependence has rarely been studied in mild-to-moderate Alzheimer's disease (AD). OBJECTIVE: To identify factors which predict patient dependence in mild-to-moderate AD. METHODS: We studied 398 non-institutionalized AD patients (234 females) of the ongoing Prospective Registry on Dementia (PRODEM) in Austria. The Dependence Scale (DS) was used to assess patient dependence. Patient assessment comprised functional abilities, neuropsychiatric symptoms and cognitive functions. A multiple linear regression analysis was performed to identify predictors of patient dependence. RESULTS: AD patients were mildly-to-moderately impaired (mean scores and SDs were: CDR 0.84 ± 0.43; DAD 74.4 ± 23.3, MMSE = 22.5 ± 3.6). Psychopathology and caregiver burden were in the low range (mean NPI score 13.2, range 0 to 98; mean ZBI score 18, range 0-64). Seventy five percent of patients were classified as having a mild level of patient dependence (DS sum score 0 to 6). Patient dependence correlated significantly and positively with age, functional measures, psychopathology and depression, disease duration, and caregiver burden. Significant negative, but low correlations were found between patient dependence, cognitive variables, and global cognition. Activities of daily living, patient age, and disease severity accounted for 63% of variance in patient dependence, whereas cognitive variables accounted for only 11%. CONCLUSION: Dependence in this cohort was mainly related to age and functional impairment, and less so to cognitive and neuropsychiatric variables. This differs from studies investigating patients in more advanced disease stages which found abnormal behavior and impairments of cognition as main predictors of patient dependence.

Driving cessation and dementia: results of the prospective registry on dementia in Austria (PRODEM).

OBJECTIVE: To assess the influence of cognitive, functional and behavioral factors, co-morbidities as well as caregiver characteristics on driving cessation in dementia patients. METHODS: The study cohort consists of those 240 dementia cases of the ongoing prospective registry on dementia in Austria (PRODEM) who were former or current car-drivers (mean age 74.2 (±8.8) years, 39.6% females, 80.8% Alzheimer's disease). Reasons for driving cessation were assessed with the patients' caregivers. Standardized questionnaires were used to evaluate patient- and caregiver characteristics. Cognitive functioning was determined by Mini-Mental State Examination (MMSE), the CERAD neuropsychological test battery and Clinical Dementia Rating (CDR), activities of daily living (ADL) by the Disability Assessment for Dementia, behavior by the Neuropsychiatric Inventory (NPI) and caregiver burden by the Zarit burden scale. RESULTS: Among subjects who had ceased driving, 136 (93.8%) did so because of "Unacceptable risk" according to caregiver's judgment. Car accidents and revocation of the driving license were responsible in 8 (5.5%) and 1(0.7%) participant, respectively. Female gender (OR 5.057; 95%CI 1.803-14.180; p = 0.002), constructional abilities (OR 0.611; 95%CI 0.445-0.839; p = 0.002) and impairment in Activities of Daily Living (OR 0.941; 95%CI 0.911-0.973; p<0.001) were the only significant and independent associates of driving cessation. In multivariate analysis none of the currently proposed screening tools for assessment of fitness to drive in elderly subjects including the MMSE and CDR were significantly associated with driving cessation. CONCLUSION: The risk-estimate of caregivers, but not car accidents or revocation of the driving license determines if dementia patients cease driving. Female gender and increasing impairment in constructional abilities and ADL raise the probability for driving cessation. If any of these factors also relates to undesired traffic situations needs to be determined before recommendations for their inclusion into practice parameters for the assessment of driving abilities in the elderly can be derived from our data.

GLP-2 and leptin are associated with hyperinsulinemia in non-obese female migraineurs.

OBJECTIVE: Impaired insulin metabolism has been implicated in migraine. However, to date only some putative effects, especially regarding the involvement of adipocytokines and glucagon-like peptides (GLPs), have been described. The aim of the present study was to investigate adipocytokines and GLPs in non-obese female migraineurs. METHODS: Various parameters of the insulin metabolism and body measurements were determined in 84 non-obese female subjects. RESULTS: We found highly significantly increased insulin levels with an odds ratio of 10.62 for migraine. Leptin and GLP-2 levels were also increased and correlated with insulin. Logistic regression analysis of leptin and GLP-2 revealed odds ratios of 3.79 and 4.26 for migraine, respectively, when comparing the lowest with the highest quartile of the test variable in the complete study cohort. DISCUSSION: We show that non-obese female migraineurs suffer from hyperinsulinemia, which is associated with elevated leptin and GLP-2 levels. Increased leptin and GLP-2 are risk factors for migraine. Our data suggest that migraine is associated with a higher risk for insulin resistance and its clinical consequences.

[Memantine for treatment of behavioural disturbances and psychotic symptoms in moderate to moderately severe Alzheimer dementia: a naturalistic study in outpatient services in Austria]. / Memantin in der Behandlung von Verhaltensauffälligkeiten und psychotischen Symptomen bei moderater bis mittelschwerer Alzheimer-Demenz: Eine naturalistische Studie im ambulanten Bereich in Osterreich.

We conducted an open, 16-week study on the efficacy of memantine on behavioral disturbances and psychotic symptoms in moderate to moderately severe Alzheimer s disease in daily routine. Fifty-three patients of 20 outpatient centers in Austria were recruited. The Neuropsychiatric Inventory (NPI) was defined as main outcome measure. After 16 weeks the total NPI score improved by 4,6 points (p<0.01). The caregiver distress score was also significantly reduced. The most pronounced improvements were seen in the NPI components depression (-24,6%), aberrant motor behavior (-16,9%), agitation/agression, fear, apathy, disinhibition and disturbances in appetite and eating behavior (-11,3%, each). Our naturalistic study is in line with the results of controlled trials in moderate and severe Alzheimer dementia stages. Controlled clinical trials which have behavioral disturbances and psychotic symptoms as primary endpoint are needed to define the true potential of memantine in mild dementia stages.

Pregabalin as mono- or add-on therapy for patients with refractory chronic neuropathic pain: a post-marketing prescription-event monitoring study.

This observational study examined the outcome of two different therapeutic strategies in the treatment of chronic neuropathic pain by including pregabalin (PGB) as mono- or add-on therapy in one of two treatment options. Patients with a pain score of > or =4, refractory to usual care for neuropathic pain for at least 6 months, were allocated consecutively to one of two treatment strategies according to the decision of the physician: complete switch to a flexible-dosage, monotherapeutic or add-on therapy with pregabalin (PGB group), or change established doses and combinations of pre-existing mono- or combination therapy without pregabalin (non-PGB group). After 4 weeks (primary endpoint) a significant improvement in pain reduction was documented in both intention-to treat (ITT) analysis (PGB group, n = 85: mean pain score reduction of 3.53, SD 2.03, p < 0.001; non-PGB group, n = 102; mean pain score reduction of 2.83, SD 2.23, p < 0.001) and per-protocol (PP) analysis (PGB group, n = 79: mean pain score reduction 3.53 vs. 2.83, p < 0.05; non-PGB group, n = 81; 3.5 vs. 2.9, p < 0.05) compared to baseline. Comparison of the results observed in the two groups shows that patients in the PGB group achieved significantly greater pain reduction. These results demonstrate that PGB administered twice daily is superior to treatment regimes without PGB in reducing pain and pain-related interference in quality of life.

[Dementia and pain]. / Demenz und Schmerz.

Dementia has been associated with disturbed pain processing and an impaired ability to provide self-reported ratings on pain. Patients with cognitive impairment have been shown to receive pain treatment less frequently than cognitively unimpaired individuals. Comorbidity is common in patients with dementia and a major factor contributing to pain. This demonstrates that a structured evaluation and categorisation of pain is mandatory for the treatment of older patients and that care should be taken to note indirect signs of pain. The appropriate scales are available and we propagate their application. Multimodal pain therapy is superior to one-dimensional approaches. A discussion of the effects and interactions of the analgesics presently available for geriatric care forms an integral part of this review.

Increased dopamine is associated with the cGMP and homocysteine pathway in female migraineurs.

BACKGROUND: The group of catecholamines, which include dopamine, adrenaline, and noradrenaline, are neurotransmitters which have been considered to play a role in the pathogenesis of migraine. However, the impact of catecholamines, especially dopamine on migraine as well as the exact mechanisms is not clear to date as previous studies have yielded in part conflicting results. OBJECTIVE: This study aimed to produce a comprehensive examination of dopamine in migraineurs. METHODS: Catecholamines and various parameters of the homocysteine, folate, and iron metabolism as well as cyclic guanosine monophosphate (cGMP) and inflammatory markers were determined in 135 subjects. RESULTS: We found increased dopamine levels in the headache free period in female migraineurs but not in male patients. Increased dopamine is associated with a 3.30-fold higher risk for migraine in women. We found no significant effects of aura symptoms or menstrual cycle phases on dopamine levels. Dopamine is strongly correlated with cGMP and the homocysteine-folate pathway. CONCLUSION: We show here that female migraineurs exhibit increased dopamine levels in the headache free period which are associated with a higher risk for migraine.

[Transdermal rivastigmine patch in outpatient services in Austria: a naturalistic study in 103 patients with Alzheimer dementia]. / Rivastigmin-Pflaster in der ambulanten Versorgung in Osterreich: eine naturalistische Studie an 103 PatientInnen mit Alzheimer Demenz.

We performed a 6-month open-label study on the use of the transdermal rivastigmine patch in clinical routine in 103 patients with Alzheimer's disease from 25 outpatient services in Austria. After baseline, safety and tolerability of the 10 cm2--rivastigmine patch was assessed at week 4, 12 and 24 in all patients. A Mini Mental State Examination was done at baseline and at week 12 and 24. Skin adherence of the patch was very good or good in 85% of study participants. Only 2.9% of patients had gastrointestinal adverse events. Local skin reactions occurred in 23% of individuals. Skin alteration were mostly mild in severity. In only 6.8% of subjects did they result in termination of treatment. At the earliest skin reactions were observed after 3 months of treatment. Cognitive functioning of patients improved comparable to the controlled trial which led to approval of the rivastigmine patch. In daily routine the safety profile of the rivastigmine patch is favourable, as is the response to treatment. Local, mostly mild skin reactions affect approximately every fifth patient, and they occur relatively late in the course of therapy. Patients and their caregivers should receive detailed information about skin reactions to omit unnecessary drop outs to treatment.

Secondary prevention after cryptogenic cerebrovascular events in patients with patent foramen ovale.

BACKGROUND: Patients with patent foramen ovale and cryptogenic stroke are at risk of recurrence, but there are few data on strategies to prevent this. METHODS: We studied 280 consecutive patients with cryptogenic cerebrovascular events and a patent foramen ovale examined by multiplane transesophageal echocardiography. Patients received platelet inhibitors (n = 66) or anticoagulation (n = 47) or underwent device closure (n = 167). During the mean follow-up of 2.6 years, we compared the frequency of recurrent events, death and severe treatment complications. RESULTS: A total of 33 (12%) patients had a recurrent cerebrovascular event. The annual recurrence rates were 13% in patients treated with platelet inhibitors, 5.6% in those on oral anticoagulation, and 0.6% in those after device closure. Independent predictors of recurrent cerebrovascular events were a patent foramen ovale larger than 4 mm (hazard ratio 3.8, 95% CI 1.2-11.2; p = 0.017) or previous strokes (hazard ratio 4.3, 95% CI 2.0-9.2; p < 0.001). Interventional closure of the patent foramen ovale decreased the risk of a recurrent event compared with oral anticoagulation (hazard ratio 0.06, 95% CI 0.12-0.29; p < 0.001), whereas antiplatelet therapy showed a trend to an increased risk (hazard ratio 2.3; 95% CI 0.9-5.5; p = 0.055). Major side effects occurred in 7 anticoagulated patients and in 13 patients after device closure. There were two non-vascular deaths and one fatal hemorrhagic stroke. CONCLUSIONS: Patients with a large patent foramen ovale and a cryptogenic cerebrovascular event had a substantial risk of recurrence even with medical treatment. Risk of recurrence was lower after device closure of the patent foramen ovale.

Evolution of white matter lesions.

A 3-year follow-up of 273 participants (mean age 60 years) of the Austrian Stroke Prevention Study provides first information on the rate, clinical predictors and cognitive consequences of MRI white matter lesions (WML) in elderly individuals without neuropsychiatric disease. Lesion progression was found in 17.9% of individuals over a time period of 3 years. Diastolic blood pressure and early confluent or confluent white matter hyperintensities at baseline were the only significant predictors of white matter hyperintensity progression. Genetic association studies in the setting of the Austrian Stroke Prevention Study provide first evidence for genetic susceptibility factors for progression of WML. We observed associations with the paraoxonase Leu-->Met 54 polymorphism and with the M235T polymorphism of the angiotensinogen gene. Lesion progression had no influence on the course of neuropsychologic test performance over the observational period, but the statistical power of this analysis was low.