Biomedical subjects

Ayumu Matani

Publications and source records attributed to Ayumu Matani.

5 recordsLinked to original sources

PubMed2006

Speech comprehension assessed by electroencephalography: a new method using m-sequence modulation.

Electroencephalograms (EEGs) were recorded from eight Japanese speakers while they listened to Japanese and Spanish sentences (approximately 51s each). The sentences were modulated in amplitude by a binary m-sequence and played forward or backward. A circular cross-correlation function was computed between the EEG signals and the m-sequence and averaged across subjects. Independent component analysis of the averaged function revealed a component source response which was obtained only for the comprehensible Japanese and not for the incomprehensible sentences. The present study has thus shown that a 1-min long EEG signal is sufficient for the assessment of speech comprehension.

Acoustic Stimulation↗

PubMed2006

Influence of seamlessness between pre- and poststimulus alpha rhythms on visual evoked potential.

The influence of seamlessness between the prestimulus alpha rhythm and poststimulus alpha ringing on the visual evoked potentials (VEPs) was investigated. Subjects passively viewed a series of 1000 flash stimuli with their eyelids closed, and their VEPs were recorded. The instantaneous phase angle of the alpha rhythm in each subject was calculated by using a two-cycle complex exponential sequence. VEPs were classified into four subsets according to seamlessness: how well the phase angle of the prestimulus alpha rhythm and the backward-extrapolated phase angle from poststimulus alpha ringing were synchronized. VEPs of each subset were averaged. A one-way repeated measures analysis of variance revealed that seamlessness significantly affected the amplitude of P100. Moreover, the level of seamlessness significantly affected the phase locking index. Two models for the generating evoked potentials have been proposed; one is the phase resetting model (Makeig, S., Westerfield, M., Jung, T.P., Enghoff, S., Townsend, J., Courchesne, E., Sejnowski, T.J., 2002. Dynamic brain sources of visual evoked responses. Science 295, 690-694) and the other is the evoked model (Mäkinen, V., Tiitinen, H., May, P., 2005. Auditory event-related responses are generated independently of ongoing brain activity. Neuroimage 24, 961-968). These results suggest that alpha ringing is possibly generated by the phase-resetting alpha rhythm and support the phase resetting model.

Adult↗

PubMed2006

Phase series echography with prior waveform distortion for evaluating posterior waveform distortion.

We describe a pulse-echo ultrasound method for measuring nonlinear waveform distortion. First, two artificially distorted ultrasound pulses, one of which is transformed into the other by using a linear transform, are prepared prior to the measurement. The linear relationship does not hold for nonlinear propagation. Second, different initial-phase versions of the two pulses are separately transmitted to a specimen one after another, then the echoes with the same turnaround time are placed in order of the initial phase. The placed echoes, called a phase series, have complete information on the posterior waveform distortion. We formulate a waveform distortion index by using these two techniques. The waveform distortion index has a monotonic increasing relationship with the nonlinear parameter B/A. As an example application, we performed tissue characterization of boiled eggs. As a result, egg whites and yolks were clearly distinguished. This method should be useful for biological tissue characterization.

Algorithms↗

PubMed2005

Extraction of a plasma time-activity curve from dynamic brain PET images based on independent component analysis.

A compartment model has been used for kinetic analysis of dynamic positron emission tomography (PET) data [e.g., 2-deoxy-2-18F-fluoro-D-glucose (FDG)]. The input function of the model [the plasma time-activity curve (pTAC)] was obtained by serial arterial blood sampling. It is of clinical interest to develop a method for PET studies that estimates the pTAC without needing serial arterial blood sampling. For this purpose, we propose a new method to extract the pTAC from the dynamic brain PET images using a modified independent component analysis [extraction of the pTAC using independent component analysis (EPICA). Source codes of EPICA are freely available at http://www5f.biglobe.ne.jp/ũkimura/Software/top.html]. EPICA performs the appropriate preprocessing and independent component analysis (ICA) using an objective function that takes the various properties of the pTAC into account. After validation of EPICA by computer simulation, EPICA was applied to human brain FDG-PET studies. The results imply that the EPICA-estimated pTAC was similar to the actual measured pTAC, and that the estimated blood volume image was highly correlated with the blood volume image measured using 15O-CO inhalation. These results demonstrated that EPICA is useful for extracting the pTAC from dynamic PET images without the necessity of serial arterial blood sampling.

Algorithms↗

PubMed2004

Right-lateralized neural activity during inner speech repeated by cues.

Neural activity during inner speech of meaningless syllable sequences was measured with MEG and fMRI from eight right-handed subjects who executed a delayed-response task. An fMRI-constrained MEG multi-dipole analysis showed that active neural sources were detected at latencies of about 200-300 ms after cues near the posterior superior temporal sulcus and were more numerous in the right hemisphere than in the left hemisphere. Since the subjects were cued to repeat inner speech of meaningless sequences stored in verbal working memory, the activity in the right (language-nondominant) hemisphere suggested that the task required processing of more prosodic features such as pitch and rhythm than phonemic features.

Adult↗