[The Usefulness of Strain Elastography for Determining Liver Fibrosis Stage in Chronic Viral Hepatitis: An Analysis Using Tissue Doppler Imaging with Manual Compression].

BACKGROUND/AIM: Accurate determination of the stage of liver fibrosis is an essential component in choice of treatment and assessment of cancer risk in patients with chronic viral hepatitis. The aim of this study was to evaluate the usefulness of strain elastography based on tissue Doppler imaging for liver fibrosis in chronic viral hepatitis. METHODS: A total of 37 patients with chronic viral hepatitis and 8 healthy volunteers were enrolled. Strain value was measured by using a conventional ultrasound machine that included strain imaging technolo- gy. Strain elastography was performed at the right subcostal area with manual compression. Liver fibrosis stages were assessed by using liver biopsy and compared with strain values. Diagnostic performance of the strain value for fibrosis stage 4, cirrhosis, was determined by performing a receiver-operating characteristics (ROC) curve analysis. RESULTS: Twenty-seven patients were positive for HCV RNA, 9 were positive for HBs antigen, and 1 was positive for both (Fibrosis stage F1, n=11; F2, n=7; F3, n=15; F4, n=4). The strain value of F3 and F4 was 0.066±0.02 and 0.042±0.011, respectively. These strain Values were significantly lower compared to those of healthy volunteers (0.112 ±0.018) (P< 0.05). Using a cutoff value of 0.042, the area under ROC curve was 0.88 for the diagnosis of F4. The sensitivity, specificity, positive predictive value, and negative predictive value were 75%, 92%, 50%, and 94%, respectively. CONCLUSIONS: Strain elastography based on tissue Doppler imaging with manual compression appears to be a useful tool to diagnose cirrhosis in patients with chronic viral hepatitis. [Original].

How many categories are there in crossmodal correspondences? A study based on exploratory factor analysis.

Humans naturally associate stimulus features of one sensory modality with those of other modalities, such as associating bright light with high-pitched tones. This phenomenon is called crossmodal correspondence and is found between various stimulus features, and has been suggested to be categorized into several types. However, it is not yet clear whether there are differences in the underlying mechanism between the different kinds of correspondences. This study used exploratory factor analysis to address this question. Through an online experiment platform, we asked Japanese adult participants (Experiment 1: N = 178, Experiment 2: N = 160) to rate the degree of correspondence between two auditory and five visual features. The results of two experiments revealed that two factors underlie the subjective judgments of the audiovisual crossmodal correspondences: One factor was composed of correspondences whose auditory and visual features can be expressed in common Japanese terms, such as the loudness-size and pitch-vertical position correspondences, and another factor was composed of correspondences whose features have no linguistic similarities, such as pitch-brightness and pitch-shape correspondences. These results confirm that there are at least two types of crossmodal correspondences that are likely to differ in terms of language mediation.

[The association between autonomic response status and the changes in EEG activity during mental arithmetic task].

Mental arithmetic (MA) tasks have been reported to induce an increase in blood pressure and heart rate by enhancing sympathetic activity. However, there are individual differences in the change of autonomic nervous activity during MA task. In the present study, we quantitatively analyzed EEG changes and autonomic nervous activity using heart rate variability (HRV) during MA task in 38 healthy young volunteers. They were classified into two groups, stress responders and non-responders, according to whether both LF/HF and blood pressure increased above the baseline or not in response to MA. Then autonomic and EEG changes were compared between the two groups. The MA task induced an increase in slow beta power in the stress responders, whereas it induced a decrease in slow beta power in the stress non responders. Further evaluation showed a significant positive correlation between the percent change from the baseline in slow alpha power and that in LF/HF. These results suggest that there are correlations between the autonomic response in an individual and EEG power changes during MA tasks.

[Changes in autonomic function and EEG power during mental arithmetic task and their mutual relationship].

Meditation is a specific consciousness state in which deep relaxation and increased internalized attention coexist. Autonomic nervous activity during meditation was reported to be characterized by decreased sympathetic activity and increased parasympathetic activity. And concerning EEG power, slow alpha power and fast theta power increased during meditation. On the other hand, mental arithmetic (MA) tasks have been reported to induce an increase in blood pressure and heart rate with enhanced sympathetic activity. However, changes in autonomic nervous activity and EEG power during MA tasks and their mutual relationship have not been adequately studied. In the present study, we quantitatively analyzed the changes in autonomic nervous activity using heart rate variability (HRV) and EEG power during MA task in 30 healthy volunteers. MA task induced significant increases in normalized LF, LF/HF ratio (as a sympathetic index), and a decrease in normalized HF (as a parasympathetic index). On the other hand, significant decrease in EEG power (slow theta: 4-6 Hz and fast alpha: 10-13 Hz in the posterior region and fast theta: 6-8 Hz and slow alpha: 8-10 Hz in all the regions) were induced by MA task. Further evaluation of these changes showed a negative correlation between the change rates (with the control resting condition as the baseline) in fast alpha power and that in LF/HF. These results suggest that specific correlated relationships exist between the change in autonomic nervous activity and EEG power depending on the difference in mental task (i.e., meditation or MA).