| Literature DB >> 25157213 |
Yuka Uratani1, Tadashi Nishimura1, Seiji Nakagawa2, Tadao Okayasu1, Toshiaki Yamanaka1, Hiroshi Hosoi1.
Abstract
When two tones are presented in a short interval of time, the presentation of the preceding tone (masker) suppresses the response evoked by the subsequent tone (signal). To address the processing in forward suppression, we applied 2- and 4-kHz maskers, followed by a 1-kHz signal at varying signal delays (0 to 320 ms) and measured the signal-evoked N1m. A two-way analysis of variance revealed a statistically significant effect for signal delay in both masker presentation conditions. The N1m peak amplitude at the signal delay of 320 ms was significantly larger than those of 10, 20, 40, and 80 ms (p < 0.05). No significant enhancement for the very short signal delay was observed. The results suggest that the enhancement of N1m peak amplitude for short signal delay conditions is maximized when the frequency of the masker is identical to that of the signal.Entities:
Keywords: forward masking; magnetoencephalography; temporal window; two-tone presentation
Year: 2014 PMID: 25157213 PMCID: PMC4122525 DOI: 10.4137/JEN.S13507
Source DB: PubMed Journal: J Exp Neurosci ISSN: 1179-0695
Figure 1Waveforms of brain magnetic fields (B′) at each signal delay in the presence of a 2-kHz masker (A) and a 4-kHz masker (B). Vertical bars indicate the stimulus onset of the masker, and arrows indicate signal onset.
Figure 2Mean normalized N1m amplitudes as a function of signal delay in the presence of the 2-kHz masker (A) and 4-kHz masker (B). Vertical bars indicate standard deviation.
Figure 3Mean N1m latencies as a function of signal delay before (A) and after (B) subtracting the masker response. Vertical bars indicate standard deviation.
Figure 4Mean behavior thresholds as a function of the signal delay. According to the current experiment conditions, the durations of the masker and signal were set at 160 and 50 ms, respectively. The intensity of the masker was set at 85 dB HL. Vertical bar indicates standard deviation of the mean.