Quality of life in stroke survivors after local intra-arterial thrombolysis

Background: We aimed to assess quality of life (QOL) and its predictors in stroke survivors after local intra-arterial thrombolysis (IAT) as well as to measure QOL according to the site of pretreatment vessel occlusion. Methods: From January 2000 to April 2004, 175 consecutive patients underwent IAT for acute ischemic stroke. Clinical and radiological data were collected prospectively. We contacted 135 stroke survivors after a mean of 923 (+/-431) days, 132 responded. QOL, assessed with EuroQol (EQ-5D), and functional abilities, measured with the modified Rankin Scale (mRS) and the Barthel Index, were compared, and predictors of QOL were analyzed. Results: Measured with EQ-5D, 56% of the patients reported a good QOL (EQ-5D Index >/=70). Low mRS and high Barthel Index scores at follow-up were associated with better overall QOL (Kendall's tau >0.5). Nevertheless, 25% of the functionally independent patients (mRS 0-2) indicated a markedly impaired QOL (EQ-5D Index <70) and 10% of disabled patients indicated good QOL. QOL was significantly lower in patients with occlusion of the internal carotid artery compared to patients with occlusion of the basilar artery or the M1, M2 or M3/4 segment of the middle cerebral artery (EQ-5D Index: p = 0.005). A high National Institute of Health Stroke Scale score on admission and occlusion of the internal carotid artery were independent predictors of impaired QOL (p < 0.05). Conclusion: More than half of the stroke survivors treated with IAT reported a good QOL, mostly survivors with mild disabilities. QOL assessment gives information that is not provided by traditional outcome scores. Our results support guidelines to measure QOL in stroke research. Copyright (c) 2008 S. Karger AG, Basel.

Quality of life in survivors after cervical artery dissection

BACKGROUND AND PURPOSE: Little data exists about longterm outcome, quality of life (QOL) and its predictors after spontaneous cervical artery dissections (sCAD). METHODS: Clinical and radiological data of 114 patients with sCAD were collected prospectively. Six patients died within 3 months, the remaining 108 were contacted after a mean of 1498 days (range: 379-3455), 99 survivors (92 %) replied. QOL, assessed with the stroke-specific QOL scale (SSQOL), and functional abilities, measured with modified Rankin Scale (mRS) were compared, and predictors of QOL were analyzed. Subgroup analyses were performed for patients with ischemic stroke, those with isolated local symptoms or transient ischemic symptoms and those without significant disabilities (mRS 0-1) at follow-up. RESULTS: Seventy-one of 99 patients (72 %) had no significant disability, but only 53 (54 %) reported a good QOL (SS-QOL > or = 4). Compared to the self-rated premorbid QOL of all patients, SS-QOL was impaired after sCAD (p < 0.001); impairment of QOL was observed in patients with ischemic stroke (p < 0.001), in patients with isolated local or transient ischemic symptoms (p < 0.038) and those without significant disabilities at follow-up (p = 0.013). Nevertheless, low mRS was associated with better overall QOL (Kendall's tau > 0.5). High National Institute of Health Stroke Scale score on admission and higher age were independent predictors of impaired QOL (p < 0.05). CONCLUSION: QOL is impaired in almost half of long-term survivors after sCAD, even in patients with local or transient symptoms or without functional disability. Impairment of QOL is a surprisingly frequent long-term sequela after sCAD and deserves attention as an outcome measure in these patients.

Hippocampal functional connectivity reflects verbal episodic memory network integrity

Using functional magnetic resonance imaging during a verbal memory task, we investigated correlations of signal fluctuations within the hippocampus and ipsilateral frontal as well as temporal areas in temporal lobe epilepsy patients. Declarative memory abilities were additionally examined before and after temporal lobe epilepsy surgery. A significant difference exists in functional connectivity between patients whose mnemonic functions deteriorated and those who remained stable or improved. Univariate analyses showed significantly higher preoperative coupling between the hippocampus and Brodmann area 22 for the group that decreased in verbal learning. We suggest greater coupling to reflect higher functional network integrity. Postoperatively reduced learning ability in patients with higher preoperative coupling underlines the importance of hippocampal interaction with cortical areas for successful memory formation.

Promoting a functional physical self-concept in physical education: Evaluation of a 10-week intervention

Most physical education intervention studies on the positive effect of sports on self-concept development have attempted to increase schoolchildren’s self-concept without taking the veridicality of the self-concept into account. The present study investigated whether a 10-week intervention in physical education would lead to an increase not only in the general level of self-concept of endurance and self-concept of strength but also in its veridicality in those who had previously under- or overestimated their abilities. A total of 464 primary schoolchildren (246 boys, 218 girls, Mage = 11.9) either participated in the intervention or served as controls. The intervention group received endurance and strength training during physical education lessons carried out with a consistent individualized teacher frame of reference (iTFR). Results showed that this specific intervention was associated with increases not only in the general level of self-concept but also in its veridicality in under- and overestimators. Results are discussed in terms of didactic methods to promote functional self-concepts in physical education.

Functional brain network efficiency predicts intelligence

The neuronal causes of individual differences in mental abilities such as intelligence are complex and profoundly important. Understanding these abilities has the potential to facilitate their enhancement. The purpose of this study was to identify the functional brain network characteristics and their relation to psychometric intelligence. In particular, we examined whether the functional network exhibits efficient small-world network attributes (high clustering and short path length) and whether these small-world network parameters are associated with intellectual performance. High-density resting state electroencephalography (EEG) was recorded in 74 healthy subjects to analyze graph-theoretical functional network characteristics at an intracortical level. Ravens advanced progressive matrices were used to assess intelligence. We found that the clustering coefficient and path length of the functional network are strongly related to intelligence. Thus, the more intelligent the subjects are the more the functional brain network resembles a small-world network. We further identified the parietal cortex as a main hub of this resting state network as indicated by increased degree centrality that is associated with higher intelligence. Taken together, this is the first study that substantiates the neural efficiency hypothesis as well as the Parieto-Frontal Integration Theory (P-FIT) of intelligence in the context of functional brain network characteristics. These theories are currently the most established intelligence theories in neuroscience. Our findings revealed robust evidence of an efficiently organized resting state functional brain network for highly productive cognitions.

The functional significance of EEG microstates-Associations with modalities of thinking

The momentary, global functional state of the brain is reflected by its electric field configuration. Cluster analytical approaches consistently extracted four head-surface brain electric field configurations that optimally explain the variance of their changes across time in spontaneous EEG recordings. These four configurations are referred to as EEG microstate classes A, B, C, and D and have been associated with verbal/phonological, visual, attention reorientation, and subjective interoceptive-autonomic processing, respectively. The present study tested these associations via an intra-individual and inter-individual analysis approach. The intra-individual approach tested the effect of task-induced increased modality-specific processing on EEG microstate parameters. The inter-individual approach tested the effect of personal modality-specific parameters on EEG microstate parameters. We obtained multichannel EEG from 61 healthy, right-handed, male students during four eyes-closed conditions: object-visualization, spatial-visualization, verbalization (6 runs each), and resting (7 runs). After each run, we assessed participants' degrees of object-visual, spatial-visual, and verbal thinking using subjective reports. Before and after the recording, we assessed modality-specific cognitive abilities and styles using nine cognitive tests and two questionnaires. The EEG of all participants, conditions, and runs was clustered into four classes of EEG microstates (A, B, C, and D). RMANOVAs, ANOVAs and post-hoc paired t-tests compared microstate parameters between conditions. TANOVAs compared microstate class topographies between conditions. Differences were localized using eLORETA. Pearson correlations assessed interrelationships between personal modality-specific parameters and EEG microstate parameters during no-task resting. As hypothesized, verbal as opposed to visual conditions consistently affected the duration, occurrence, and coverage of microstate classes A and B. Contrary to associations suggested by previous reports, parameters were increased for class A during visualization, and class B during verbalization. In line with previous reports, microstate D parameters were increased during no-task resting compared to the three internal, goal-directed tasks. Topographic differences between conditions concerned particular sub-regions of components of the metabolic default mode network. Modality-specific personal parameters did not consistently correlate with microstate parameters except verbal cognitive style which correlated negatively with microstate class A duration and positively with class C occurrence. This is the first study that aimed to induce EEG microstate class parameter changes based on their hypothesized functional significance. Beyond, the associations of microstate classes A and B with visual and verbal processing, respectively and microstate class D with interoceptive-autonomic processing, our results suggest that a finely-tuned interplay between all four EEG microstate classes is necessary for the continuous formation of visual and verbal thoughts, as well as interoceptive-autonomic processing. Our results point to the possibility that the EEG microstate classes may represent the head-surface measured activity of intra-cortical sources primarily exhibiting inhibitory functions. However, additional studies are needed to verify and elaborate on this hypothesis.