Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.

To analyze the functional connectivity patterns of the different EEG bands during wakefulness and sleep (different sleep stages and cyclic alternating pattern (CAP) conditions), using concepts derived from Graph Theory.', 'We evaluated spatial patterns of EEG band synchronization between all possible pairs of electrodes (19) placed over the scalp of 10 sleeping healthy young normal subjects using two graph theoretical measures: the clustering coefficient (Cp) and the characteristic path length (Lp). The measures were obtained during wakefulness and the different sleep stages/CAP conditions from the real EEG connectivity networks and randomized control (surrogate) networks (Cp-s and Lp-s).', 'We found values of Cp and Lp compatible with a small-world network organization in all sleep stages and for all EEG bands. All bands below 15Hz showed an increase of these features during sleep (and during CAP-A phases in particular), compared to wakefulness.
Does the functional connectivity of different EEG bands move towards small-world network organization during sleep?

We investigated whether a computed tomography (CT)-based score could predict a large infarct (≥ 80 mL) on early diffusion-weighted magnetic resonance imaging (DWI).', 'Acute stroke patients considered for endovascular therapy within 8 hours of the onset of symptoms were included. The Alberta Stroke Program Early Computed Tomography Score (ASPECTS) was determined on noncontrast CT and computed tomography angiography source images (CTA-SI). Limited collateral flow was defined as less than 50% collateral filling on CTA-SI.', 'Fifty-six patients were analyzed. National Institutes of Health Stroke Scale score was 20 (15-24) in the large infarct group and 16 (11-20) in the small infarct group (P = .049). ASPECTS on noncontrast CT and CTA-SI was 5 (3-8) and 3 (2-6) in the large infarct group and 9 (8-10) and 8 (7-9) in the small infarct group (both P < .001), respectively. Limited collateral flow was frequent in the large infarct group than in the small infarct group (92% vs. 11%, P < .001). Multivariate analysis found that CTA-SI ASPECTS less than or equal to 5 (odds ratio [OR], 40.55; 95% confidence interval [CI], 1.10-1493.44; P = .044) and limited collateral flow (OR, 114.64; 95% CI, 1.93-6812.79; P = .023) were associated with a large infarct. Absence of ASPECTS less than or equal to 5 and limited collateral flow on CTA-SI predicted absence of a large infarct with a sensitivity of .89, specificity of 1.00, positive predictive value of 1.00, and negative predictive value of .71.
Do collateral flow and brain changes on computed tomography angiography predict infarct volume on early diffusion-weighted imaging?

Recently we reported that fluid shear stress promotes endothelial cell differentiation from a mouse embryo mesenchymal progenitor cell line C3H10T1/2. However, it is not clear whether the transforming growth factor-beta 1 (TGF-beta1) system is associated with shear-induced endothelial differentiation. The purpose of this study was to determine the effect of shear stress on the expression of TGF-beta1 and its signaling molecules in C3H10T1/2 cells.', 'Murine C3H10T1/2 cells were incubated on collagen Type 1-coated dishes, and subjected to a steady fluid shear stress of 15 dyn/cm(2) for 6, 12, and 24 h. The mRNA levels for TGF-beta1, TGF-beta receptors (TGF-beta R), and Smad molecules were determined with real-time PCR analysis and normalized to glyceraldehyde-3-phosphate dehydrogenase mRNA levels.', 'TGF-beta1 mRNA expression was down-regulated by 60% and 66% in shear stress-treated cells at 12 and 24 h, respectively, compared with static control group (P < 0.01). In addition, shear stress significantly decreased TGF-beta R1 mRNA levels by 30% and 50% in shear stress-treated cells at 12 and 24 h, respectively (P < 0.01). For TGF-beta R2, shear stress at 6, 12, and 24 h significantly reduced its expression by 93%, 95% and 97%, respectively, compared with static controls (P < 0.01). Furthermore, shear stress significant decreased mRNA levels of positive signaling molecules Smad2, Smad3, and Smad4 in a time-dependent manner (P < 0.01). However, shear stress significantly increased negative signaling molecule Smad7 mRNA levels by 100% at 24 h treatment compared with static control group (P < 0.01).

Does fluid shear stress regulate the expression of TGF-beta1 and its signaling molecules in mouse embryo mesenchymal progenitor cells?