Literature DB >> 29378459

Auditory brainstem, middle and late latency responses to short gaps in noise at different presentation rates.

Khalid Alhussaini1,2, Jorge Bohorquez1, Rafael E Delgado3, Ozcan Ozdamar1,4.   

Abstract

OBJECTIVE: The effects of rate on auditory-evoked potentials (AEP) to short noise gaps (12 ms) recorded at high sampling rates using wide-band filters were investigated.
DESIGN: Auditory brainstem (ABR), middle latency (MLR), late latency (LLR) and steady-state (ASSR) responses were simultaneously recorded in adult subjects at four gap rates (0.5, 1, 5 and 40 Hz). Major components (V, Na, Pa, Nb, Pb, N1 and P2) were identified at each rate and analysed for latency/amplitude characteristics. Gap responses at 40 Hz were recovered from Quasi-ASSRs (QASSR) using the CLAD deconvolution method. STUDY SAMPLE: Fourteen right ears of young normal hearing subjects were tested.
RESULTS: All major components were present in all subjects at 1 Hz. P1 (P50) appeared as a low-pass filtered component of Pa and Pb waves. At higher rates, N1 and P2 disappeared completely while major ABR-MLR components were identified. Peak latencies were mostly determined by noise onsets slightly delayed by offset responses.
CONCLUSIONS: Major AEP components can be recorded to short gaps at 1 Hz using high sampling rates and wide-band filters. At higher rates, only ABR and MLRs can be recorded. Such simultaneous recordings may provide a complete assessment of temporal resolution and processing at different levels of auditory pathways.

Entities:  

Keywords:  Gaps in noise; auditory brainstem response; auditory late latency response; auditory middle latency response; auditory steady-state response; auditory-evoked potential; continuous loop averaging deconvolution

Mesh:

Year:  2018        PMID: 29378459     DOI: 10.1080/14992027.2018.1428373

Source DB:  PubMed          Journal:  Int J Audiol        ISSN: 1499-2027            Impact factor:   2.117


  1 in total

1.  Software Application toward Accessible Hearing Care Assessment: Gap in Noise Test.

Authors:  Khalid Alhussaini; Shaza Saleh; Adham Aleid; Saad Alkhalaf; Reem Badghaish; Amir Altinawi; Abdullatif Alwasel
Journal:  J Healthc Eng       Date:  2022-04-29       Impact factor: 3.822

  1 in total

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