Perception of native and non-native phonemic contrasts in children with autistic spectrum disorder: effects of speaker variability.

The current study investigated speech perception in children with ASD by directly comparing discrimination accuracy of phonemic contrasts in the native and non-native languages. The effect of speaker variability on phoneme perception was also examined. We also explored the relation between language impairment and accuracy in phoneme discrimination in children with ASD. Significant differences in performance were found between the ASD and TD groups on discrimination of the native phonemic contrasts. By contrast, no difference was found between the two groups on discrimination of the non-native phonemic contrasts. Further subgroup analysis revealed that the ALN group (ASD without language delay or impairment) showed significantly higher discrimination accuracy for the native syllable contrasts than the non-native counterpart. No significant difference was found in the discrimination accuracy between the native and non-native phonemic contrasts in the ALD group (ASD with language delay or impairment). The effect of speaker viability on phoneme discrimination was observed in the TD group but not in the ASD subgroups. Nonverbal reasoning ability was highly related to discrimination accuracy of both the native and non-native phonemic contrasts in children with ASD. The results of the present study suggest that speech perception in children with ASD is not as attuned to their native language as in their TD peers. Our findings also indicate that language delay or impairment is related to difficulty in perception of native phonemes in children with ASD.

The cerebral hemodynamic response to phonetic changes of speech in preterm and term infants: The impact of postmenstrual age.

Higher brain dysfunction, such as language delay, is a major concern among preterm infants. Cerebral substrates of cognitive development in preterm infants remain elusive, partly because of limited methods. The present study focuses on hemodynamic response patterns for brain function by using near-infrared spectroscopy. Specifically, the study investigates gestational differences in the hemodynamic response pattern evoked in response to phonetic changes of speech and cerebral hemispheric specialization of the auditory area in preterm infants (n = 60) and term infants (n = 20). Eighty neonates born between 26 and 41 weeks of gestational age (GA) were tested from 33 to 41 weeks of postmenstrual age (PMA). We analyzed the hemodynamic response pattern to phonemic and prosodic contrasts for multiple channels on temporal regions and the laterality index of the auditory area. Preterm infants younger than 39 weeks of PMA showed significantly atypical hemodynamic patterns, with an inverted response shape. Partial correlation analysis of the typicality score of hemodynamic response revealed a significant positive correlation with PMA. The laterality index of preterm infants from 39 weeks of PMA demonstrated a tendency rightward dominance for prosodic changes similar to term infants. We provide new evidence that alterations in hemodynamic regulation and the functional system for phonemic and prosodic processing in preterm infants catch up by their projected due dates.

Effect of mother's voice on neonatal respiratory activity and EEG delta amplitude.

While the influence of the mother's voice on neonatal heart-rate response and its relevant activity on cerebral cortex and the autonomic nervous system (ANS) are well known, few studies have assessed its influence on respiratory activity. We investigated the relationship among the respiration rate, the delta wave amplitudes through electroencephalography, and the basal state of ANS through the respiratory variability index while 22 full-term neonates hear their mother's voice and an unknown voice. It was found that when respiratory variability was large, a transient (<5 s) change in respiration rates was observed in response to an unknown voice, while a greater increase in the delta wave amplitude was observed in the frontal lobe than the parietal one in response to the mother's voice. Conversely, when respiratory variability was small, a sustained increase (>10 s) in respiration rates was observed in response to the mother's voice, while a greater increase in the delta wave amplitude was found in both the frontal and parietal lobes. These results suggest that the basal state of ANS influences the latency of increases in respiration rates. Furthermore, induced by the mother's voice, transient increases in respiration rates are reduced in association with frontal lobe activity, and sustained increases in respiration rates are promoted in association with frontal and parietal lobe activities.

Four new diterpenoid alkaloids from Aconitum japonicum subsp. subcuneatum.

Diterpenoid alkaloids with remarkable chemical properties and biological activities are frequently found in plants of the genera Aconitum, Delphinium, and Garrya. Accordingly, several diterpenoid alkaloid constituents of Aconitum and Delphinium plants as well as their derivatives exhibited cytotoxic activity against lung, prostate, nasopharyngeal, and vincristine-resistant nasopharyngeal cancer cell lines. Four new C19-diterpenoid alkaloids, 14-anisoyllasianine (1), 14-anisoyl-N-deethylaconine (2), N-deethylaljesaconitine A (3), and N-deethylnevadensine (4), together with 17 known C19- and C20-diterpenoid alkaloids, were isolated in a phytochemical investigation of rhizoma of Aconitum japonicum THUNB. subsp. subcuneatum (NAKAI) KADOTA. Their structures were elucidated by extensive spectroscopic methods including NMR (1D and 2D), IR, and MS (HRMS). Eight known diterpenoid alkaloids, lipoaconitine, lipomesaconitine, aconine, nevadenine, talatisamine, nevadensine, ryosenamine, and dehydrolucidusculine, were isolated the first time from A. japonicum subsp. subcuneatum. Three of the new C19-diterpenoid alkaloids (1, 3, 4) and six of the known diterpenoid alkaloids were evaluated for cytotoxic activity against five human tumor cell lines.

Wavelet analysis for detecting body-movement artifacts in optical topography signals.

We have developed a wavelet-based method of detecting body-movement artifacts in optical topography (OT) signals. Although OT, which is a noninvasive imaging technique for measuring hemodynamic response related to brain activation, is particularly useful for studying infants, the signals occasionally contain undesirable artifacts caused by body movements, so data corrupted by body-movement artifacts must be eliminated to obtain reliable results. For this purpose, we applied a wavelet transform to automatically detect body-movement artifacts in OT signals. We measured OT signals from nine healthy infants in response to speech stimuli. After the continuous signals had been divided into blocks (a block is a time series of OT signal in a 30-s period including a 10-s stimulation period), they were classified into two groups (movement blocks and non-movement blocks) according to whether the participants moved or not by video judgment. Using those data, we developed a wavelet-based algorithm for detecting body-movement artifacts at a high discrimination rate being consistent with the actual body-movement state. The wavelet method has two parameters (scale and threshold), and a Monte Carlo analysis gave the mean optimal parameters as 9+/-1.9 (mean+/-standard deviation) for the scale and as 42.7+/-1.9 for the threshold. Our wavelet method with the mean optimal parameters (scale=9, threshold=43) achieved a higher discrimination rate (mean+/-standard deviation: 86.3+/-8.8%) for actual body movement than a previous method (mean+/-standard deviation: 80.6+/-8.7%) among different participants (paired t test: t(8)=2.92, p<0.05). These results demonstrate that our wavelet method is useful in practice for eliminating blocks containing body-movement artifacts in OT signals. It will contribute to obtaining reliable results from OT studies of infants.