Effects of inter-stimulus interval (ISI) duration on the N1 and P2 components of the auditory event-related potential

Pereira, Diana; Cardoso, Susana; Ferreira‐Santos, Fernando; Fernandes, Carina; Cunha-Reis, Cassilda; Paiva, Tiago O.; Almeida, Pedro; Silveira, C.; Barbosa, Fernando; Marques‐Teixeira, João

doi:10.1016/j.ijpsycho.2014.09.012

Cited by 66 publications

(54 citation statements)

References 58 publications

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“…Recent research has focused on different strategies for disentangling N1 from P2. For example, temporal unpredictability of stimulus occurrence, when compared with fixed inter-stimulus intervals (Pereira et al, 2014), induced differential modulations in N1 and P2 components (Costa-Faidella et al, 2011). Likewise, the presentation of human vocal auditory stimuli induced higher P2 component amplitudes with no effects on the N1 component (Charest et al, 2009).…”

Section: Discussionmentioning

confidence: 98%

Similar sound intensity dependence of the N1 and P2 components of the auditory ERP: Averaged and single trial evidence

Paiva

Almeida

Ferreira‐Santos

et al. 2016

Clinical Neurophysiology

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Section: Discussionmentioning

confidence: 98%

Similar sound intensity dependence of the N1 and P2 components of the auditory ERP: Averaged and single trial evidence

Paiva

Almeida

Ferreira‐Santos

et al. 2016

Clinical Neurophysiology

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“…Such a manipulation 50 assumes that the EEG signal is a linear superposition of the highly stereotyped, time-invariant 51 response, and the ongoing background noise (Glaser and Ruchkin 1976). However, evidences 52 obtained in several sensory pathways suggest that the evoked potential amplitude might not be 53 steady but decreases exponentially due to the serial and regular stimulation (Pereira et al 2014; 54 Andrade et al 2015;Custead et al 2015). Such effect has been defined as evoked potential 55 adaptation.…”

mentioning

confidence: 99%

Estimation of auditory steady-state responses based on the averaging of independent EEG epochs

Prado

Martı́nez-Montes

Weinstein

et al. 2018

Preprint

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18The amplitude of the auditory steady-state responses (ASSRs) generated in the brainstem 19 exponentially decreases over the averaging of subsequent EEG epochs. This behavior is partially due 20 to the adaptation of the auditory response to the continuous and monotonous stimulation. We 21 analyzed the potential clinical relevance of the ASSR adaptation. Specifically, we compare the ASSR 22 amplitude computed in two conditions: (1) when the auditory responses -embedded in the EEG 23 epochs that are averaged in the estimation procedure-are influenced by the previous stimulation; 24 and (2) when they are independent of the previous stimulation. ASSR were elicited in eight 25 anesthetized adult rats by 8-kHz tones, modulated in amplitude at 115 Hz. ASSR amplitudes were 26 computed using three averaging methods (standard, weighted and sorted averaging). We evaluated 27 the ASSR amplitude as a function of sub-set of epochs selected for the averaging and the 28 improvement in the ASSR detection resulting from averaging independent epochs. Due to 29 adaptation, the ASSR amplitude computed by averaging dependent EEG epochs relied upon the 30 averaging method. Lower ASSR amplitudes were obtained as EEG segments containing unadapted 31 responses were systematically excluded from the averaging. In the absence of EEG artifacts, the 32 ASSR amplitudes did not depend on the averaging method when they were computed from 33 independent EEG epochs. The amplitude of independent ASSRs were up to 35% higher than those 34 obtained by processing dependent EEG segments. Extracting the ASSR amplitude from independent 35 epochs halved the number of EEG segments needed to be averaged to achieve the maximum 36 detection rate of the response. Acquisition paradigm based on a discrete acoustic stimulation (in 37 which segments of AM-sounds of several seconds in length are presented after a given inter stimulus 38 interval), in combination with appropriated averaging methods might increase the accuracy of 39 audiological tests based on ASSRs.3 40 Introduction 41 Auditory steady-Sastate responses (ASSRs) are brain oscillations locked to the periodic 42 properties of acoustic stimuli (Picton et al. 2003;John and Purcell 2008). Audiological tests based 43 on the acquisition of ASSR are useful for estimating the hearing sensitivity, mainly because multiple 44 hearing frequencies can be simultaneously assessed, and the auditory response can be objectively 45 detected using statistical tests Luts et al. 2004;Valdes et al. 1997; Wilding et al. 46 2012;de Resende et al. 2015). 47Typically, ASSR are elicited by the continuous presentation of amplitude modulated (AM) 48 tones. The extraction of the auditory response from the measured signal essentially relies on 49 averaging epochs of the EEG, time-locked to the stimulus (Dawson 1954). Such a manipulation 50 assumes that the EEG signal is a linear superposition of the highly stereotyped, time-invariant 51 response, and the ongoing background noise (Glaser and Ruchkin 1976). However, evidences 52 obta...

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“…(ii) The subsequent major component, the negative-polarity STRF 100 , exhibited magnitude decrease and delay increase with density, with a sharp transition after the sparsest density level. Suppression of the M100 response from supratemporal cortex has been observed in the transition from low to higher tone presentation rates [58] highlighting the interpretation of increased inhibitory effects that include generalized refractoriness among neurons at denser conditions [64]. This component is also subject to attentional modulation [65][66][67] which may reflect that individual tones in a densely populated scene fail to capture attention individually.…”

Section: Association With Auditory Evoked Potentialsmentioning

confidence: 96%

“…Auditory event-related potentials at ~200 ms latency have been described in EEG as expectancy indices, exhibiting greater amplitudes for tones whose presentation in time is uncertain [72]. At denser conditions, shorter inter-stimulus-intervals may reduce the tone-evoked analogous EEG P2 component, regardless of presentation within a repetition sequence or as an oddball, suggesting involvement of modulation mechanisms other than habituation [64].…”

Section: Association With Auditory Evoked Potentialsmentioning

confidence: 99%

Functional significance of spectrotemporal response functions obtained using magnetoencephalography

Constantino

Villafane-Delgado

Camenga

et al. 2017

Preprint

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The spectrotemporal response function (STRF) model of neural encoding quantitatively associates dynamic auditory neural (output) responses to a spectrogramlike representation of a dynamic (input) stimulus. STRFs were experimentally obtained via whole-head human cortical responses to dynamic auditory stimuli using magnetoencephalography (MEG). The stimuli employed consisted of unpredictable pure tones presented at a range of rates. The predictive power of the estimated STRFs was found to be comparable to those obtained from the cortical single and multiunit activity . CC-BY-NC 4.0 International license peer-reviewed) is the author/funder. It is made available under aThe copyright holder for this preprint (which was not . http://dx.doi.org/10.1101/168997 doi: bioRxiv preprint first posted online Jul. 26, 2017; literature. The STRFs were also qualitatively consistent with those obtained from electrophysiological studies in animal models; in particular their local-field-potentialgenerated spectral distributions and multiunit-activity-generated temporal distributions.Comparison of these MEG STRFs with others obtained using natural speech and music stimuli reveal a general structure consistent with common baseline auditory processing, including evidence for a transition in low-level neural representations of natural speech by 100 ms, when an appropriately chosen stimulus representation was used. It is also demonstrated that MEG-based STRFs contain information similar to that obtained using classic auditory evoked potential based approaches, but with extended applications to long-duration, non-repeated stimuli. Author summaryThe spectrotemporal response function (STRF) model of linking dynamic acoustic stimuli to dynamic neural responses is applied to whole-head non-invasive magnetoencephalography (MEG) recordings of the human auditory cortex. MEG STRFs were consistent predictors of neural activity, quantitatively and qualitatively, by comparison to those obtained from animal models using local field potential or multiunit activity as neural responses. Comparison of STRFs using stimuli as diverse as tone clouds, natural speech, and music revealed a common structure consistent with shared baseline auditory processing, when an appropriately chosen stimulus representation was used.

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Effects of inter-stimulus interval (ISI) duration on the N1 and P2 components of the auditory event-related potential

Cited by 66 publications

References 58 publications

Similar sound intensity dependence of the N1 and P2 components of the auditory ERP: Averaged and single trial evidence

Similar sound intensity dependence of the N1 and P2 components of the auditory ERP: Averaged and single trial evidence

Estimation of auditory steady-state responses based on the averaging of independent EEG epochs

Functional significance of spectrotemporal response functions obtained using magnetoencephalography

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