No abstract

To determine the effects of MRI white matter hyperintensities (WMH) on cognitive functioning, we used neuropsychologic tests and MRI to study 150 elderly volunteers free of neuropsychiatric or general disease. There were 76 (50.3%) individuals without and 74 (49.7%) with WMH. The latter subset was older (61.3 +/- 6.6 years versus 58.5 +/- 5.8 years, p = 0.005), had a higher mean arterial blood pressure (103.7 +/- 11.4 mm Hg versus 99.9 +/- 10.3 mm Hg, p = 0.03), and a larger ventricular-to-intracranial-cavity ratio (6.3 +/- 5.6% versus 4.7 +/- 1.6%, p = 0.02). Individuals with WMH performed worse than their counterparts without such abnormalities on all tests administered. After adjusting for the group differences in age, arterial blood pressure, and ventricular size, we noted statistically significant results on form B of the Trail Making Test (121.8 +/- 37.8 msec versus 100.3 +/- 47.9 msec, p = 0.04), a complex reaction time task (680.8 +/- 104.9 msec versus 607.1 +/- 93.9 msec, p = 0.001), and the assembly procedure of the Purdue Peg-board Test (27.5 +/- 5.8 versus 30.6 +/- 5.9, p = 0.02). Partial correlations did not reveal any relationship between test scores and the semiautomatically assessed total area of WMH. Our data suggest that the presence of WMH exerts a subtle effect on neuropsychologic performance of normal elderly individuals, which becomes particularly evident on tasks measuring the speed of more complex mental processing.

We administered the Mattis Dementia Rating Scale (MDRS) to 1,001 healthy volunteers, aged 50 to 80 years, randomly selected from our community. Multivariate regression analysis revealed educational level (p = 0.000004) and age (p = 0.00001), but no other sociodemographic or risk factors for stroke, to be significantly associated with the MDRS score. The age- and education-specific lowest quintile cutoff scores ranged from 140 in subjects aged 50 to 59 years with at least college experience to 130 in subjects aged 70 to 80 years with only 4 to 9 years of schooling. These percentile distributions obtained for decades of age and different levels of education should be useful reference values for clinicians and investigators when applying the MDRS to assess cognitive functioning.

BackgroundUsing EEG based neurofeedback (NF), the activity of the brain is modulated directly and, therefore, the cortical substrates of cognitive functions themselves. In the present study, we investigated the ability of stroke patients to control their own brain activity via NF and evaluated specific effects of different NF protocols on cognition, in particular recovery of memory.MethodsN = 17 stroke patients received up to ten sessions of either SMR (N = 11, 12–15 Hz) or Upper Alpha (N = 6, e.g. 10–12 Hz) NF training. N = 7 stroke patients received treatment as usual as control condition. Furthermore, N = 40 healthy controls performed NF training as well. To evaluate the NF training outcome, a test battery assessing different cognitive functions was performed before and after NF training.ResultsAbout 70 % of both patients and controls achieved distinct gains in NF performance leading to improvements in verbal short- and long-term memory, independent of the used NF protocol. The SMR patient group showed specific improvements in visuo-spatial short-term memory performance, whereas the Upper Alpha patient group specifically improved their working memory performance. NF training effects were even stronger than effects of traditional cognitive training methods in stroke patients. NF training showed no effects on other cognitive functions than memory.ConclusionsPost-stroke victims with memory deficits could benefit from NF training as much as healthy controls. The used NF training protocols (SMR, Upper Alpha) had specific as well as unspecific effects on memory. Hence, NF might offer an effective cognitive rehabilitation tool improving memory deficits of stroke survivors.

The advent of new laboratory methods and noninvasive imaging modalities has extended the diagnostic possibilities in normal individuals. This article elaborates the new options for the assessment of stroke risk offered by these techniques. In this context we present the Austrian Stroke Prevention Study, which is the first prospective long-term investigation of normals that includes Doppler sonography, magnetic resonance imaging and single photon emission computed tomography. The design, utility and limitations of this study are discussed.