Ultrafast tracking of sound location changes as revealed by human auditory evoked potentials

Grimm, Sabine; Recasens, Marc; Althen, Heike; Escera, Carles

doi:10.1016/j.biopsycho.2011.10.014

Cited by 39 publications

(44 citation statements)

References 57 publications

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“…The MMNs are thought to have different generators activated in a feature-specific fashion by frequency, duration, or location cues (Paavilainen et al, 1991; Alho, 1995; Picton et al, 2000; Deouell et al, 2006). Relating to the present study, MMN has been reliably elicited in experiments probing location differences by either varying (i) ITDs under headphone conditions (Schröger and Wolff, 1996; Schröger, 1996; Pakarinen et al, 2007), (ii) real spatial disparities under free field conditions (Paavilainen et al, 1989; Nager et al, 2003; Tata and Ward, 2005; Deouell et al, 2006; Richter et al, 2009; Grimm et al, 2012; Bennemann et al, 2013) and (iii) using headphone stimulation but employing head-related transfer functions conditions (Sonnadara et al, 2006). Such MMN components are often followed by the ERP P3a (occurring 200–350 ms post stimulus onset), which is thought to indicate an involuntary switch in attention toward the deviant sound (Picton et al, 2000).…”

Section: Introductionsupporting

confidence: 50%

Pre-attentive cortical processing of behaviorally perceptible spatial changes in older adultsâ€”a mismatch negativity study

Freigang¹,

Rübsamen²,

Richter³

2014

Front. Neurosci.

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From behavioral studies it is known that auditory spatial resolution of azimuthal space declines over age. To date, it is not clear how age affects the respective sensory auditory processing at the pre-attentive level. Here we tested the hypothesis that pre-attentive processing of behaviorally perceptible spatial changes is preserved in older adults. An EEG-study was performed in older adults (65–82 years of age) and a mismatch negativity (MMN) paradigm employed. Sequences of frequent standard stimuli of defined azimuthal positions were presented together with rarely occurring deviants shifted by 10° or 20° to the left or to the right of the standard. Standard positions were at +5° (central condition) from the midsagittal plane and at 65° in both lateral hemifields (±65°; lateral condition). The results suggest an effect of laterality on the pre-attentive change processing of spatial deviations in older adults: While for the central conditions deviants close to MAA threshold (i.e., 10°) yielded discernable MMNs, for lateral positions the respective MMN responses were only elicited by spatial deviations of 20° toward the midline (i.e., ±45°). Furthermore, MMN amplitudes were found to be insensitive to the magnitude of deviation (10°, 20°), which is contrary to recent studies with young adults (Bennemann et al., 2013) and hints to a deteriorated pre-attentive encoding of sound sources in older adults. The discrepancy between behavioral MAA data and present results are discussed with respect to the possibility that under the condition of active stimulus processing older adults might benefit from recruiting additional attentional top-down processes to detect small magnitudes of spatial deviations even within the lateral acoustic field.

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Section: Introductionsupporting

confidence: 50%

Pre-attentive cortical processing of behaviorally perceptible spatial changes in older adultsâ€”a mismatch negativity study

Freigang¹,

Rübsamen²,

Richter³

2014

Front. Neurosci.

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“…By using the classic oddball paradigm, modulations in the MLR components have been observed depending on the acoustic feature that violated the regularity. A deviance-related enhancement has been reported at the Na component for location [19]–[20], at Pa for band-pass filtered noise bursts [21], at Nb for frequency [22], [23], and at the Na-Pa complex for intensity [24]. Therefore, it is conceivable that, at least for simple features, deviance detection processes might be activated at early stages, supporting the view of a hierarchical novelty detection system [22], [25].…”

Section: Introductionmentioning

confidence: 71%

“…Previous oddball studies showed evidence for early auditory deviance detection in the brainstem frequency-following response to consonant-vowel deviants [35], and in the MLR components to changes in frequency [22], [23], intensity [24], location [19]–[20] and band-pass filtered noise bursts [21]. However, by oddball paradigms alone it is not possible to determine whether the deviance-related modulations of the responses are feature-specific.…”

Section: Discussionmentioning

confidence: 97%

“…In addition to the tone repetitions, we introduced occasional changes in the interaural time difference (ITD) of the tones, leading to a perceived sound location change. This way we could examine a regularity based on a feature representation in which an enhancement of the Na component to the deviants was already reported [19], [20]. Therefore the tone-alternating sequence contained two types of regularities, a “simple” regularity accounting for the perceived location of the stimuli, and a “pattern” regularity represented by the alternating tones.…”

Section: Introductionmentioning

confidence: 99%

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Detection of Simple and Pattern Regularity Violations Occurs at Different Levels of the Auditory Hierarchy

et al. 2012

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Auditory deviance detection in humans is indexed by the mismatch negativity (MMN), a component of the auditory evoked potential (AEP) of the electroencephalogram (EEG) occurring at a latency of 100–250 ms after stimulus onset. However, by using classic oddball paradigms, differential responses to regularity violations of simple auditory features have been found at the level of the middle latency response (MLR) of the AEP occurring within the first 50 ms after stimulus (deviation) onset. These findings suggest the existence of fast deviance detection mechanisms for simple feature changes, but it is not clear whether deviance detection among more complex acoustic regularities could be observed at such early latencies. To test this, we examined the pre-attentive processing of rare stimulus repetitions in a sequence of tones alternating in frequency in both long and middle latency ranges. Additionally, we introduced occasional changes in the interaural time difference (ITD), so that a simple-feature regularity could be examined in the same paradigm. MMN was obtained for both repetition and ITD deviants, occurring at 150 ms and 100 ms after stimulus onset respectively. At the level of the MLR, a difference was observed between standards and ITD deviants at the Na component (20–30 ms after stimulus onset), for 800 Hz tones, but not for repetition deviants. These findings suggest that detection mechanisms for deviants to simple regularities, but not to more complex regularities, are already activated in the MLR range, supporting the view that the auditory deviance detection system is organized in a hierarchical manner.

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“…Subsequent studies confirmed the involvement of the Nb in frequency deviant detection (Alho et al, 2012; Leung et al, 2012; Althen et al, 2013), and revealed that other MLR waveforms are related to deviant detection in other auditory stimulus features, such as the Na for location changes (Sonnadara et al, 2006; Cornella et al, 2012; Grimm et al, 2012), and the transition between the Na-Pa waveforms for intensity changes (Althen et al, 2011) or the Pa-Nb for temporal deviations (Leung et al, 2013). …”

Section: Novelty Detection In a Cortico-subcortical Distributed Cerebmentioning

confidence: 84%

Neuronal adaptation, novelty detection and regularity encoding in audition

Malmierca¹,

Sanchez-Vives

Escera³

et al. 2014

Front. Syst. Neurosci.

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The ability to detect unexpected stimuli in the acoustic environment and determine their behavioral relevance to plan an appropriate reaction is critical for survival. This perspective article brings together several viewpoints and discusses current advances in understanding the mechanisms the auditory system implements to extract relevant information from incoming inputs and to identify unexpected events. This extraordinary sensitivity relies on the capacity to codify acoustic regularities, and is based on encoding properties that are present as early as the auditory midbrain. We review state-of-the-art studies on the processing of stimulus changes using non-invasive methods to record the summed electrical potentials in humans, and those that examine single-neuron responses in animal models. Human data will be based on mismatch negativity (MMN) and enhanced middle latency responses (MLR). Animal data will be based on the activity of single neurons at the cortical and subcortical levels, relating selective responses to novel stimuli to the MMN and to stimulus-specific neural adaptation (SSA). Theoretical models of the neural mechanisms that could create SSA and novelty responses will also be discussed.

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Ultrafast tracking of sound location changes as revealed by human auditory evoked potentials

Cited by 39 publications

References 57 publications

Pre-attentive cortical processing of behaviorally perceptible spatial changes in older adultsâ€”a mismatch negativity study

Pre-attentive cortical processing of behaviorally perceptible spatial changes in older adultsâ€”a mismatch negativity study

Detection of Simple and Pattern Regularity Violations Occurs at Different Levels of the Auditory Hierarchy

Neuronal adaptation, novelty detection and regularity encoding in audition

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