The Time Course of Neural Changes Underlying Auditory Perceptual Learning

Atienza, Mercedes; Cantero, José L.; Dominguez-Marin, Elena

doi:10.1101/lm.46502

Cited by 225 publications

(184 citation statements)

References 66 publications

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“…These effects are consistent with previous MEG and electroencephalographic studies that have shown neural changes characterized by enhanced responses to trained stimuli, presumably resulting from a larger cortical recruitment that occurs across multiple timescales of training ranging from a few minutes to several days (Cansino and Williamson, 1997;Pantev et al, 1999;Menning et al, 2000;Atienza et al, 2002;Bosnyak et al, 2004). The general finding of increased responses to the trained stimulus is also consistent with a long history of neurophysiological studies that have shown the existence of rapid cortical plasticity, in which minutes of classical or operant conditioning suffice to induce profound changes of neural responses and receptive field properties in primary auditory cortices (Galambos et al, 1956;Weinberger and Diamond, 1987;Buonomano and Merzenich, 1998).…”

Section: Discussionsupporting

confidence: 79%

Auditory Cortical Plasticity in Learning to Discriminate Modulation Rate

Wassenhove¹,

Nagarajan²

2007

J. Neurosci.

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The discrimination of temporal information in acoustic inputs is a crucial aspect of auditory perception, yet very few studies have focused on auditory perceptual learning of timing properties and associated plasticity in adult auditory cortex. Here, we trained participants on a temporal discrimination task. The main task used a base stimulus (four tones separated by intervals of 200 ms) that had to be distinguished from a target stimulus (four tones with intervals down to ϳ180 ms). We show that participants' auditory temporal sensitivity improves with a short amount of training (3 d, 1 h/d). Learning to discriminate temporal modulation rates was accompanied by a systematic amplitude increase of the early auditory evoked responses to trained stimuli, as measured by magnetoencephalography. Additionally, learning and auditory cortex plasticity partially generalized to interval discrimination but not to frequency discrimination. Auditory cortex plasticity associated with short-term perceptual learning was manifested as an enhancement of auditory cortical responses to trained acoustic features only in the trained task. Plasticity was also manifested as induced non-phase-locked high gammaband power increases in inferior frontal cortex during performance in the trained task. Functional plasticity in auditory cortex is here interpreted as the product of bottom-up and top-down modulations.

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Section: Discussionsupporting

confidence: 79%

Auditory Cortical Plasticity in Learning to Discriminate Modulation Rate

Wassenhove¹,

Nagarajan²

2007

J. Neurosci.

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“…More recently, Ylinen and Huotilainen (2007) reported an enhanced N1 in the ERP elicited by vowels from the native language in contrast to language-unfamiliar vowels. Notably, an increase in the N1(m) and/or P2 response for non-intentionally processed sounds has also been observed intraindividually after acoustic discrimination training (e.g., Menning et al, 2000;Atienza et al, 2002;Tremblay and Kraus, 2002;Bosnyak et al, 2004). A similar increase in the P2 response observed after passive stimulus exposure (Sheehan et al, 2005) indicated that the observed effects were related to increased acoustic familiarity with the presented sounds.…”

Section: Introductionsupporting

confidence: 53%

“…The familiarity effects observed before 300 ms in the present study indicate that familiar sounds are already processed differently on low-level auditory processing stages, which could result in an increased dicriminability of familiar sounds. This would enhance deviancerelated components (e.g., Atienza et al, 2002). It seems that no familiarity-related effects on auditory deviance processing are triggered when the deviance is unrelated to the familiarity of the sounds.…”

Section: Location-deviant Processing For the Familiar And The Unfamilmentioning

confidence: 99%

Familiarity affects environmental sound processing outside the focus of attention: An event-related potential study

Kirmse

Jacobsen

Schröger

2009

Clinical Neurophysiology

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a b s t r a c tObjective: This study investigated the influence of the familiarity of an environmental sound on sound processing outside the focus of attention. Methods: By comparing ERPs elicited by a familiar, animal sound and an acoustically matched, but unfamiliar, complex sound, three issues were addressed: (a) general differences in the processing of the familiar and the unfamiliar sound, (b) influences of sound familiarity on the processing of deviants unrelated to familiarity and (c) familiarity-specific processing depending on the sound context. Participants watched a silent, subtitled movie. Results: The familiar sound elicited a centro-parietal enhancement of the N1, a frontocentrally enhanced P2 and an additional P250. Auditory deviance processing elicited by deviants in sound location was not influenced by the familiarity of the sounds. However, after an involuntary switch of attention to the deviant, an N400-like deflection indicated enhanced semantic analysis of the familiar deviant. Familiarityspecific ERP effects as a consequence of the sound context occurred between 300 and 500 ms after stimulus onset. Conclusion: Whereas familiarity of an environmental sound elicited enhanced stimulus processing before 300 ms, influences of the sound context were observed subsequent to 300 ms. Significance: Familiarity of a complex environmental sound influences several stages of auditory processing outside the focus of attention.

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“…The remarkable agreement with the present study is the identification of rapid and stimulus-specific adaptation of neural responses to repeated standards, whereas the response to deviants did not change with repetition. Some of the long-term adaptation effects displayed by those auditory neurons (Ulanovsky et al, 2004) may also have a counterpart in human ERP changes (enhanced P50 and P2) across a time scale of a few minutes (Baldeweg et al, 1999) and up to days (Atienza et al, 2002).…”

Section: Neurophysiology Of Auditory Sensory Memorymentioning

confidence: 99%

Event-Related Brain Potential Correlates of Human Auditory Sensory Memory-Trace Formation

Haenschel

Вернон²,

Dwivedi³

et al. 2005

J. Neurosci.

254

265

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The event-related potential (ERP) component mismatch negativity (MMN) is a neural marker of human echoic memory. MMN is elicited by deviant sounds embedded in a stream of frequent standards, reflecting the deviation from an inferred memory trace of the standard stimulus. The strength of this memory trace is thought to be proportional to the number of repetitions of the standard tone, visible as the progressive enhancement of MMN with number of repetitions (MMN memory-trace effect). However, no direct ERP correlates of the formation of echoic memory traces are currently known. This study set out to investigate changes in ERPs to different numbers of repetitions of standards, delivered in a roving-stimulus paradigm in which the frequency of the standard stimulus changed randomly between stimulus trains. Normal healthy volunteers (n ϭ 40) were engaged in two experimental conditions: during passive listening and while actively discriminating changes in tone frequency. As predicted, MMN increased with increasing number of standards. However, this MMN memory-trace effect was caused mainly by enhancement with stimulus repetition of a slow positive wave from 50 to 250 ms poststimulus in the standard ERP, which is termed here "repetition positivity" (RP). This RP was recorded from frontocentral electrodes when participants were passively listening to or actively discriminating changes in tone frequency. RP may represent a human ERP correlate of rapid and stimulus-specific adaptation, a candidate neuronal mechanism underlying sensory memory formation in the auditory cortex.

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The Time Course of Neural Changes Underlying Auditory Perceptual Learning

Cited by 225 publications

References 66 publications

Auditory Cortical Plasticity in Learning to Discriminate Modulation Rate

Auditory Cortical Plasticity in Learning to Discriminate Modulation Rate

Familiarity affects environmental sound processing outside the focus of attention: An event-related potential study

Event-Related Brain Potential Correlates of Human Auditory Sensory Memory-Trace Formation

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