Biomedical subjects

Shigeyuki Kuwada

Publications and source records attributed to Shigeyuki Kuwada.

5 recordsLinked to original sources

PubMed2006

Optimizing the stimuli to evoke the amplitude modulation following response (AMFR) in neonates.

OBJECTIVE: The goal was to identify stimulus features that enhance the detection of the amplitude modulation following response (AMFR) in neonates. The features explored were (1) envelope type, sinusoidal versus a half-wave rectified sinusoid (transposed); (2) best modulation frequency; and (3) spectral content, i.e., tone versus band-pass noise. DESIGN: Results are based on recordings from 149 babies (80 babies in the neonatal intensive care unit and 69 newborn infants). All had passed hearing screening based on the click-evoked ABR. Babies were not sedated. We used carrier frequencies of approximately 500, 1000, 2000, and 4000 Hz and modulation frequencies between approximately 25 and 98 Hz. For the noise stimuli, we used band-pass noise at center frequencies of 500, 1000, 2000, and 4000 Hz. All stimuli were presented through insert earphones delivered simultaneously to both ears, at intensities ranging from 20 to 70 dB SPL. Magnitude squared coherence, phase coherence, and spectral criteria were used to detect criterion AMFRs. We analyzed four measures: (1) percent of satisfied runs; (2) the amplitude of criterion AMFR; (3) time to detect a criterion AMFR; and (4) response strength (e.g., the value of the magnitude squared coherence when it reached criterion minus the critical value it had to exceed for that number of averages all divided by the critical value). RESULTS: (1) The AMFRs evoked by transposed tones were larger and detected faster than those to sinusoidal amplitude modulated tones. Consequently, remaining protocols all used the transposed envelopes. (2) The range of effective modulation frequencies was broad (41 to 88 Hz) across carrier frequencies. (3) The AMFRs evoked by transposed noise were faster and more efficient than those to transposed tones. CONCLUSIONS: In neonates, transposed tones are more effective than sinusoidal amplitude modulated tones in evoking the AMFR, modulation frequencies between 41 to 88 Hz are almost equally effective in evoking the AMFR, and band-pass noises are more effective in evoking the AMFR than tones. These three stimulus factors all add incrementally to the efficiency of evoking the AMFR. The short detection times indicate that the AMFR could be an effective tool for hearing screening.

Acoustic Stimulation↗

PubMed2005

Sensitivity to interaural time differences in the dorsal nucleus of the lateral lemniscus of the unanesthetized rabbit: comparison with other structures.

Interaural time differences, a cue for azimuthal sound location, are first encoded in the superior olivary complex (SOC), and this information is then conveyed to the dorsal nucleus of the lateral lemniscus (DNLL) and inferior colliculus (IC). The DNLL provides a strong inhibitory input to the IC and may serve to transform the coding of interaural time differences (ITDs) in the IC. Consistent with the projections from the SOC, the DNLL and IC had similar distributions of peak- and trough-type neurons, characteristic delays, and best ITDs. The ITD tuning widths of DNLL neurons were intermediate between those of the SOC and IC. Further sharpening is seen in the auditory thalamus, indicating that sharpening mechanisms are not restricted to the midbrain. The proportion of neurons that phase-locked to the tones delivered to each ear progressively decreased from the SOC to the auditory thalamus. The degree of phase-locking for a large majority of DNLL neurons was too weak to support their involvement in processing monaural inputs to generate a sensitivity to ITDs. The response rates of DNLL neurons were on average approximately 60% greater than in the IC or SOC, indicating that the inhibitory input provided to the IC by the DNLL is robust.

Acoustic Stimulation↗

PubMed2004

GABA( A) synapses shape neuronal responses to sound intensity in the inferior colliculus.

Neurons in the inferior colliculus (IC) change their firing rates with sound pressure level. Some neurons maintain monotonic increases in firing rate over a wide range of sound intensities, whereas other neurons are monotonic over limited intensity ranges. We examined the conditions necessary for monotonicity in this nucleus in vitro in rat brain slices and in vivo in the unanesthetized rabbit. Our in vitro recordings indicate that concurrent activation of GABA(A) synapses with excitatory inputs facilitates monotonic increases in firing rate with increases in stimulus strength. In the absence of synaptic inhibition, excitatory input to IC neurons causes large depolarizations that result in firing block and nonmonotonicity. In vivo, although GABA(A) synapses decrease the firing rate in all IC neurons, they can have opposing effects on rate-level functions. GABAergic inputs activated by all sound intensities maintain monotonicity by keeping the postsynaptic potential below the level at which depolarization block occurs. When these inputs are blocked, firing block can occur and rate-level functions become nonmonotonic. High-threshold GABAergic inputs, in contrast, cause nonmonotonic responses by decreasing the firing rate at high intensities. Our results suggest that a dynamic regulation of the postsynaptic membrane potential by synaptic inhibition is necessary to allow neurons to respond monotonically to a wide range of sound intensities.

Animals↗

PubMed2002

Transformations in processing interaural time differences between the superior olivary complex and inferior colliculus: beyond the Jeffress model.

Interaural time differences (ITDs) are used to localize sounds and improve signal detection in noise. Encoding ITDs in neurons depends on specialized mechanisms for comparing inputs from the two ears. Most studies have emphasized how the responses of ITD-sensitive neurons are consistent with the tenets of the Jeffress model. The Jeffress model uses neuronal coincidence detectors that compare inputs from both sides and delay lines so that different neurons achieve coincidence at different ITDs. Although Jeffress-type models are successful at predicting sensitivity to ITDs in humans, in many respects they are a limited representation of the responses seen in neurons. In the superior olivary complex (SOC), ITD-sensitive neurons are distributed across both the medial (MSO) and lateral (LSO) superior olives. Similar response types are found in neurons sensitive to ITDs in two signal types: low-frequency sounds and envelopes of high-frequency sounds. Excitatory-excitatory interactions in the MSO are associated with peak-type responses, and excitatory-inhibitory interactions in the LSO are associated with trough-type responses. There are also neurons with responses intermediate between peak- and trough-type. In the inferior colliculus (IC), the same basic types remain, presumably due to inputs arising from the MSO and LSO. Using recordings from the SOC and IC, we describe how the response types can be described within a continuum that extends to very large values of ITD, and compare the functional organization at the two levels.

Acoustic Stimulation↗

PubMed2002

Sources of the scalp-recorded amplitude-modulation following response.

The scalp-recorded amplitude-modulation following response (AMFR) is gaining recognition as an objective audiometric tool, but little is known about the neural sources that underlie this potential. We hypothesized, based on our human studies and single-unit recordings in animals, that the scalp-recorded AMFR reflects the interaction of multiple sources. We tested this hypothesis using an animal model, the unanesthetized rabbit. We compared AMFRs recorded from the surface of the brain at different locations and before and after the administration of agents likely to enhance or suppress neural generators. We also recorded AMFRs locally at several stations along the auditory neuraxis. We conclude that the surface-recorded AMFR is indeed a composite response from multiple brain generators. Although the response at any modulation frequency can reflect the activity of more than one generator, the AMFRs to low and high modulation frequencies appear to reflect a strong contribution from cortical and subcortical sources, respectively.

Acoustic Stimulation↗