Peculiarities of Frequency-Following Response in Healthy Individuals when Listening to Complex Sounds

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INTRODUCTION: Studies of recent years showed that functional disorders in the brainstem may be one of factors causing inability to perceive speech by normal-hearing individuals. Frequency-following response (FFR) is an auditory evoked potential emerging in different regions of the brain in response to a sound or a change in the sound frequency. The initiation of this potential is associated with the correct processing of auditory information in the subcortical structures of the brain. However, until the moment, there is no regulatory framework that could permit use of this potential in routine examinations.

AIM: To identify and analyze the peculiarities of FFR in healthy adult individuals when listening to a complex sound.

MATERIALS AND METHODS: The study included 29 healthy subjects aged from 18 to 48 years (mean age 28 ± 10 years). Electrical activity of the brain was recorded from 32 electrodes. Sampling frequency 2000 Hz, transmission frequency 0.1 Hz–500 Hz. The stimulus was a 30-s sound that included simple sounds of five different frequencies (600 Hz, 800 Hz, 1000 Hz, 2000 Hz, 4000 Hz) changing in a random order every 100 ms. FFR was isolated in each frequency change in the complex sound. The resulting FFR included two peaks, for each amplitude, latency, and dipole sources were calculated.

RESULTS: FFR was obtained in all the subjects and included two peaks. In some subjects, FFR peaks had a statistically higher amplitude and lower latency. In subjects with a higher amplitude FFR peaks, three dipoles were identified for the first peak: in the brainstem and in the cortex of the right hemisphere (Brodmann areas 6 and 39). For the second peak, one dipole was identified in the cortex (Brodmann area 19). In subjects with low amplitude FFR peaks, for the first peak one source in the brainstem was identified. For the second peak, two dipoles were identified: in the posterior cingulate cortex (Brodmann area 23) and in the medial thalamus.

CONCLUSION: The data obtained suggest that the method of recording and analyzing FFR can be used to assess the functional integrity and correct participation of the midbrain in the perception of auditory stimuli. The peculiarities of amplitude-time parameters of its peaks probably reflect the individual ability to finely differentiate stimuli.

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作者简介

Lyubov' Oknina

Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Science

编辑信件的主要联系方式.
Email: leliia@yandex.ru
ORCID iD: 0000-0002-7398-1183
SPIN 代码: 2614-8209

Dr. Sci. (Biol.)

俄罗斯联邦, Moscow

Andrey Slezkin

Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Science; Russian Technological University

Email: com2274@yandex.ru
ORCID iD: 0000-0003-1230-8347
SPIN 代码: 4605-6082
俄罗斯联邦, Moscow; Moscow

Yana Vologdina

Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Science; Burdenko National Medical Research Center of Neurosurgery

Email: yana.vologdina@mail.ru
ORCID iD: 0000-0002-3196-588X
SPIN 代码: 2215-3956
俄罗斯联邦, Moscow; Moscow

Anna Kantserova

Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Science

Email: anna.kantserova@gmail.com
ORCID iD: 0000-0002-5513-8627
SPIN 代码: 7841-5681
俄罗斯联邦, Moscow

Ekaterina Strel'nikova

Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Science

Email: strelnikovaev@gmail.com
ORCID iD: 0009-0007-1611-073X
SPIN 代码: 9728-7075

Cand. Sci. (Biol.)

俄罗斯联邦, Moscow

David Pitskhelauri

Burdenko National Medical Research Center of Neurosurgery

Email: dav@nsi.ru
ORCID iD: 0000-0003-0374-7970
SPIN 代码: 3261-2144

MD, Dr. Sci. (Med.), Professor

俄罗斯联邦, Moscow

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2. Fig. 1. Schematic representation of a ‘complex’ sound. Note: the frequency was changed every 100 ms at the zero point of the sinewave to avoid the ‘click’ effect; the amplitude of the sound did not change throughout the duration of the sound; the sound started and ended at 1500 Hz, and contained a rising and falling phase lasting 10 ms; sections with frequency of 1500 Hz were not used in eliciting frequency-following response.

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3. Fig. 2. Features of the frequency-following response: A — Grand Mean (n = 8) FFR of subjects with a high amplitude of peaks; B — Grand Mean (n = 21) FFR of subjects with FFR with a lower amplitude of peaks; I — FFR (arrows point to two peaks, and the average latency acrossthe group is indicated, the data are presented in burrerfly mode including response in all leads); II — an amplitude map of FFR peaks with peak latency. Note: FFR — frequency-following response.

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4. Fig. 3. Interquartile latency ranges of the first and second FFR peaks in the subjects with high (group 1) and low (group 2) amplitude of the FFR peaks. Note: FFR — frequency-following response.

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5. Fig. 4. Localization of dipoles associated with the first (I) and second (II) FFR peaks in the subjects of the first (A) and second (B) groups. Note: FFR — frequency-following response.

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