40‐Hz oscillations underlying perceptual binding in young and older adults

Roß, Bernhard; Fujioka, Takako

doi:10.1111/psyp.12654

Cited by 17 publications

(27 citation statements)

References 114 publications

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“…P2 amplitude also appears to be stronger in musicians (Shahin et al, 2003 ; Kuriki et al, 2006 ; Bidelman and Weiss, 2014 ; though this has not been observed in all studies Musacchia et al, 2008 ). P2, along with the P1 and the intervening negativity, is affected by stimulus parameters including frequency, location, duration, intensity, and presence of noise (reviewed in Alain et al, 2013 ; see also Ross and Fujioka, 2016 ), is affected by short-term training (Lappe et al, 2011 ; Tremblay et al, 2014 ), and is correlated with language-related performance measures such as categorical speech perception (Bidelman and Weiss, 2014 ). While P2 amplitude is affected by repetition and predictability (Näätänen and Picton, 1987 ; Tremblay et al, 2014 ), the relationships we observe here between the P2 amplitude and SIN performance are unlikely to be unique to the high number of repetitions used in this experiment, as the relationship between P2 and SIN has been previously observed with fewer trials (Cunningham et al, 2001 ).…”

Section: Discussionmentioning

confidence: 99%

Neural Correlates of Early Sound Encoding and their Relationship to Speech-in-Noise Perception

Coffey¹,

Chepesiuk²,

Herholz³

et al. 2017

Front. Neurosci.

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Speech-in-noise (SIN) perception is a complex cognitive skill that affects social, vocational, and educational activities. Poor SIN ability particularly affects young and elderly populations, yet varies considerably even among healthy young adults with normal hearing. Although SIN skills are known to be influenced by top-down processes that can selectively enhance lower-level sound representations, the complementary role of feed-forward mechanisms and their relationship to musical training is poorly understood. Using a paradigm that minimizes the main top-down factors that have been implicated in SIN performance such as working memory, we aimed to better understand how robust encoding of periodicity in the auditory system (as measured by the frequency-following response) contributes to SIN perception. Using magnetoencephalograpy, we found that the strength of encoding at the fundamental frequency in the brainstem, thalamus, and cortex is correlated with SIN accuracy. The amplitude of the slower cortical P2 wave was previously also shown to be related to SIN accuracy and FFR strength; we use MEG source localization to show that the P2 wave originates in a temporal region anterior to that of the cortical FFR. We also confirm that the observed enhancements were related to the extent and timing of musicianship. These results are consistent with the hypothesis that basic feed-forward sound encoding affects SIN perception by providing better information to later processing stages, and that modifying this process may be one mechanism through which musical training might enhance the auditory networks that subserve both musical and language functions.

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Section: Discussionmentioning

confidence: 99%

Neural Correlates of Early Sound Encoding and their Relationship to Speech-in-Noise Perception

Coffey¹,

Chepesiuk²,

Herholz³

et al. 2017

Front. Neurosci.

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show abstract

“…P2 amplitude also appears to be stronger in musicians [Bidelman and Weiss, 2014; Kuriki et al, 2006; Shahin et al, 2003] (though this has not been observed in all studies [Musacchia et al, 2008]). P2, along with the Pl and the intervening negativity, is affected by stimulus parameters including frequency, location, duration, intensity, and presence of noise (reviewed in [Alain et al, 2013]; see also [Ross and Fujioka, 2016]), is affected by short-term training [Lappe et al, 2011; Tremblay et al, 2014], and is correlated with language–related performance measures such as categorical speech perception [Bidelman and Weiss, 2014]. The findings suggest that the underlying processes are critical to sound representation generally, though the nature and roles of component processes represented in the P2 and their relationships to oscillatory brain networks are still being clarified (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…The findings suggest that the underlying processes are critical to sound representation generally, though the nature and roles of component processes represented in the P2 and their relationships to oscillatory brain networks are still being clarified (e.g. [Ross et al, 2012; Ross and Fujioka, 2016]).…”

Section: Discussionmentioning

confidence: 99%

Neural correlates of early sound encoding and their relationship to speech in noise perception

Coffey

Chepesiuk

Herholz

et al. 2016

Preprint

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Speech-in-noise (SIN) perception is a complex cognitive skill that affects social, vocational, and educational activities. Poor SIN ability particularly affects young and elderly populations, yet varies considerably even among healthy young adults with normal hearing. Although SIN skills are known to be influenced by top-down processes that can selectively enhance lower-level sound representations, the complementary role and of feed-forward mechanisms and their relationship to musical training is poorly understood. Using a paradigm that eliminates the main top-down factors that have been implicated in SIN performance, we aimed to better understand how robust encoding of periodicity in the auditory system (as measured by the frequency-following response) contributes to SIN perception. Using magnetoencephalograpy, we found that the strength of encoding at the fundamental frequency in the brainstem, thalamus, and cortex is correlated with SIN accuracy, as was the amplitude of the slower cortical P2 wave, and these enhancements were related to the extent and timing of musicianship. These results are consistent with the hypothesis that basic feed-forward sound encoding affects SIN perception by providing better information to later processing stages, and that modifying this process may be one mechanism through which musical training might enhance the auditory networks that subserve both musical and language functions.Highlights–Enhancements in periodic sound encoding are correlated with speech-in-noise ability–This effect is observed in the absence of contextual cues and task demands–Better encoding is observed throughout the auditory system and is right-lateralized–Stronger encoding is related to stronger subsequent secondary auditory cortex activity–Musicianship is related to both speech-in-noise perception and enhanced MEG signals

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“…For perception, the features of the sensory input are compared with internal memory representation and combined into meaningful objects. Synchrony in gamma oscillations plays a crucial role in this perceptual binding process (Ross & Fujioka, ; Singer, ). Thus, gamma oscillations seem to have an essential function for speech understanding.…”

Section: Discussionmentioning

confidence: 99%

“…However, several authors emphasized the oscillatory nature of the activity (Pantev, ; Tiitinen et al., ). The roles of gamma oscillations for precise neural timing (Buzśaki & Wang, ; Cardin et al., ; Li, Morita, Robinson, & Small, ; Nikolić, Fries, & Singer, ) and perceptual binding (Engel & Singer, ; Ross & Fujioka, ) have been discussed in recent years. Beyond sensory encoding, the auditory evoked gamma response is involved central processes of extracting the meaning of sound, such as in perceptual organization of an auditory stream (Noda, Kanzaki, & Takahashi, ).…”

Section: Introductionmentioning

confidence: 99%

Speech‐in‐noise understanding in older age: The role of inhibitory cortical responses

Roß

Dobri

Schumann

2019

Eur J of Neuroscience

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Studies of central auditory processing underlying speech‐in‐noise (SIN) recognition in aging have mainly concerned the degrading neural representation of speech sound in the auditory brainstem and cortex. Less attention has been paid to the aging‐related decline of inhibitory function, which reduces the ability to suppress distraction from irrelevant sensory input. In a response suppression paradigm, young and older adults listened to sequences of three short sounds during MEG recording. The amplitudes of the cortical P30 response and the 40‐Hz transient gamma response were compared with age, hearing loss and SIN performance. Sensory gating, indicated by the P30 amplitude ratio between the last and the first responses, was reduced in older compared to young listeners. Sensory gating was correlated with age in the older adults but not with hearing loss nor with SIN understanding. The transient gamma response expressed less response suppression. However, the gamma amplitude increased with age and SIN loss. Comparisons of linear multi‐variable modeling showed a stronger brain–behavior relationship between the gamma amplitude and SIN performance than between gamma and age or hearing loss. The findings support the hypothesis that aging‐related changes in the balance between inhibitory and excitatory neural mechanisms modify the generation of gamma oscillations, which impacts on perceptual binding and consequently on SIN understanding abilities. In conclusion, SIN recognition in older age is less affected by central auditory processing at the level of sensation, indicated by sensory gating, but is strongly affected at the level of perceptual organization, indicated by the correlation with the gamma responses.

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40‐Hz oscillations underlying perceptual binding in young and older adults

Cited by 17 publications

References 114 publications

Neural Correlates of Early Sound Encoding and their Relationship to Speech-in-Noise Perception

Neural Correlates of Early Sound Encoding and their Relationship to Speech-in-Noise Perception

Neural correlates of early sound encoding and their relationship to speech in noise perception

Speech‐in‐noise understanding in older age: The role of inhibitory cortical responses

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