The modulation of auditory novelty processing by working memory load in school age children and adults: a combined behavioral and event-related potential study
© Ruhnau et al; licensee BioMed Central Ltd. 2010
Received: 26 July 2010
Accepted: 7 October 2010
Published: 7 October 2010
We investigated the processing of task-irrelevant and unexpected novel sounds and its modulation by working-memory load in children aged 9-10 and in adults. Environmental sounds (novels) were embedded amongst frequently presented standard sounds in an auditory-visual distraction paradigm. Each sound was followed by a visual target. In two conditions, participants evaluated the position of a visual stimulus (0-back, low load) or compared the position of the current stimulus with the one two trials before (2-back, high load). Processing of novel sounds were measured with reaction times, hit rates and the auditory event-related brain potentials (ERPs) Mismatch Negativity (MMN), P3a, Reorienting Negativity (RON) and visual P3b.
In both memory load conditions novels impaired task performance in adults whereas they improved performance in children. Auditory ERPs reflect age-related differences in the time-window of the MMN as children showed a positive ERP deflection to novels whereas adults lack an MMN. The attention switch towards the task irrelevant novel (reflected by P3a) was comparable between the age groups. Adults showed more efficient reallocation of attention (reflected by RON) under load condition than children. Finally, the P3b elicited by the visual target stimuli was reduced in both age groups when the preceding sound was a novel.
Our results give new insights in the development of novelty processing as they (1) reveal that task-irrelevant novel sounds can result in contrary effects on the performance in a visual primary task in children and adults, (2) show a positive ERP deflection to novels rather than an MMN in children, and (3) reveal effects of auditory novels on visual target processing.
For successful adaptive behavior, we should be able to focus attention on information being relevant in a given context (voluntary attention), but at the same time should remain responsive to perturbing events in order not to dismiss potentially important information (involuntary attention). An optimal balance between the processes subserving voluntary and involuntary attention is a prerequisite for the development of many cognitive functions. This balance obviously depends on contextual factors such as the demands imposed by the difficulty of a given task and it may vary with age. Our study investigated the processing of task-irrelevant but attention catching novel sounds in children and adults and its modulation by working memory load. We expect that distraction of attention and the processing of subsequent target stimuli are affected by novels differently between age groups. Working memory load is expected to affect novelty processing in both age groups, with possible differences in children deriving from the still immature cognitive control system.
Attentional capture elicited by unexpected new or changed sounds and its consequences on behavioral performance in visual and auditory tasks have been extensively studied in auditory-visual distraction paradigms in adults (for a review see ). Usually, subjects are instructed to discriminate by a button press between two categories of visual stimuli (e.g. odd and even numbers) presented in a random order at a constant rate (e.g. one stimulus in 1.2 s). A task-irrelevant sound occurs shortly (e.g. 300 ms) before each visual stimulus. The sound is either a frequently occurring sinusoidal standard tone or a novel sound drawn from a pool of environmental sounds. When subtract novel-related ERPs from standard-related ERPs the so-called novelty complex consisting of N1/Mismatch Negativity (MMN), reflecting automatic deviancy detection, P3a, reflecting an involuntary attention switch to the deviation, and Reorienting Negativity (RON), reflecting the re-allocation of attention to the primary task, can be observed [1–11]. Additionally, a prolongation of reaction times (RTs) and/or a decrease of hit rates in the visual discrimination task are observed (e.g. [2–9, 11]). Similar ERP and behavioral effects are obtained in an analogous auditory-auditory distraction paradigm (e.g. [1, 10–16]).
In recent years some developmental studies could show a similar ERP complex in children of different ages using environmental novel sounds [17–20] or sinusoidal deviants [21–23]. Although the underlying functions are still immature - apparent in larger distraction effects (RTs to deviant minus standard trials) compared to adults  - it seems as if children process deviations quite similar to adults . Recently Wetzel and colleagues  could show that children at the age of 7-8 years are partly able to control auditory distraction voluntarily, indicated by lower distraction effects and a decrease of RON amplitude when novel sounds are predictable, even though they not yet achieve the level of adults.
The processing of novel or deviant sounds and the effect it exerts on the performance in a primary task is modulated by task demands [12, 26–29]. However, the findings about the influence of working memory load on distraction are not consistent. Lavie  and Muller-Gass and Schröger  show that high load increases distractibility whereas Berti and Schröger  and San Miguel and colleagues  report reduced distraction under high memory load. It seems possible that channel separation between task-relevant information and task-irrelevant distracting information has an interactive effect with task demands in determining the extent of auditory distraction. Namely, with increasing load distraction increases if channel separation is possible, e.g. when target and distractor are presented in different modalities (as in ), and distraction decreases if channels separation fails, e.g. when target and distractor are on the same object (as in ).
We expected that novels elicit a P3a and RON in children and adults, with children showing a preceding positive MMR [20, 37, 38]. According to previous research [12, 28, 39] task load was not expected to influence the MMR but should affect later steps of novelty processing reflected by P3a and RON in adults [12, 27, 28]. Whether it affects novelty processing in children was an open question. As children cannot inhibit task-irrelevant information as effectively as adults , it can be expected that children show high distractibility with novel sounds, which increases with memory load . On the other hand -if the results of Berti and Schröger  or San Miguel and colleagues  apply - it may also be the case that distraction decreases with increasing load. However, considering again immature inhibitory processes , this should be found to a lesser extent in children than in adults.
Few studies along this line looked for ERP effects of auditory distractors on the processing of subsequent visual stimuli. Escera et al.  found a reduced visual N1 amplitude in trials preceded by a novel sound, whereas San Miguel et al.  found that novels in the auditory domain led to an enhancement of the visual ERP to subsequent visual targets in the P3b range (300-400 ms post stimulus). In the latter study the P3b effect was accompanied by a facilitation of reaction times to novels compared with standard sounds. The authors assume that novels might serve as alerting signal reflected by the facilitation and the P3b enhancement .
Unlike previous studies utilizing the auditory-visual distraction paradigm, we chose a relatively long stimulus-onset-asynchrony (SOA) of 600 ms between sound and visual stimulus. This might obscure behavioral distraction effects (which have been shown to decrease with increasing SOA [4, 40]) but has the advantage that auditory and visual ERPs can be disentangled to a larger extent. According to the study by San Miguel and colleagues , we expected an effect of the auditory novel to the visual P3b, elicited by targets, in adults and tested for a similar effect in children.
Reaction times and hit rate
Mean reaction times (RT) and hit rates (HR) with standard errors of the mean (SEM).
Children (N = 14)
Adults (N = 12)
In the MMN time-window (peak 190 ± 10 ms), there was an evident novelty-related positivity (MMR), with a posterior negativity in children without a corresponding effect in adults. The corresponding ANOVA for the MMN time-window with factors Memory Load, Stimulus Type and Age revealed a main effect of Stimulus Type (F(1,24) = 15.662, p < 0.002, η 2 = 0.395) and a Stimulus Type × Age interaction (F(1,24) = 9.726, p < 0.006, η 2 = 0.288). T-tests did not show a significant MMN for adults (t(11) = 0.693, p > 0.5) but confirmed a positive MMR for children (t(13) = 5.105, p < 0.001).
Both age-groups showed a characteristic P3a which was confirmed in the ANOVA of the amplitudes in the P3a-window (peak: 340 ± 20 ms) revealing a main effects of Stimulus Type (F(1,24) = 74.802, p < 0.001, η 2 = 0.757). It also revealed a main effect of Memory Load (F(1,24) = 6.566, p < 0.02, η 2 = 0.215) indicating more positive ERPs for standards and novels in the high memory load condition, but no interaction between Stimulus Type and Memory Load (F(1,24) = 2.31, p > 0.15). The ANOVA of the peak latencies of the P3a with the factors Memory Load and Age revealed no significant effects (all F(1,24) < 1.61, p > 0.22). The equivalent ANOVA of the amplitudes in the RON time-window (adults: peak 495 ± 25; children: peak 525 ± 25) revealed a main effect of Stimulus Type (F(1,24) = 6.611, p < 0.02, η 2 = 0.216) indicating the presence of the RON and a significant three-way interaction Stimulus Type × Memory Load × Age (F(1,24) = 6.462, p < 0.05, η2 = 0.212). This interaction is elucidated by two additional 2 × 2 ANOVAs with factors Stimulus Type and Memory Load separated for the age groups. In adults, there was an interaction of Stimulus Type × Memory Load (F(1,11) = 10.167, p < 0.01, η 2 = 0.480) indicating an influence of load on ERPs elicited by novels (high load vs. low load, t(11) = 3.003, p < 0.05) but not on ERPs elicited by standard sounds (high load vs. low load, t(11) = -0.560, p > 0.5) and thus a more negative RON in the high load condition. On the other hand, children showed no Stimulus Type × Memory Load interaction (F(1,13) = 1.853, p > 0.19) and thereby no effect of memory load on the RON. The ANOVA of the peak latencies of the RON with the factors Memory Load and Age revealed a main effect of Age (F(1,24) = 43.57, p < 0.001, η 2 = 0.654) confirming a later RON in children compared to adults. No other effects were observed.
For the present study we developed a paradigm useful to examine distraction and memory load in a developmental context. Our results indicate that the initial novelty processing of children differs from adults (MMR), that orienting towards the novel is relatively similar between children and adults (P3a) but that reorienting mechanisms are not yet fully developed (RON). On the behavioral level novels surprisingly speeded the children's response whereas they slowed the response in adults.
Both age groups responded faster and more accurate in the low load condition compared to the high load condition. This indicates that the manipulation of the working memory load was successful in both age groups. However, the memory load manipulation revealed no age effects. As expected, children generally responded less accurate than adults.
Novel sounds caused behavioral distraction in adults as reflected by increased reaction times to the visual target when preceded by a task irrelevant novel compared to when preceded by a standard sounds. Similar effects of task-irrelevant novel or deviant sounds on task performance were shown before (e.g. [1, 14]). These effects could not necessarily be expected, as with increasing SOA between sound onset and onset of the target-related information behavioral distraction events caused by deviant sounds get smaller [4, 40]. Most interesting, in contrast to adults, children showed a facilitation effect, that is, responses to visual targets were speeded when the preceding sound was novel. Such a facilitation effect has been reported in adults [41, 42]. San Miguel and colleagues  proposed that (together with other factors) attentional task demands and the temporal position of the novel relative to the encoding or retrieval of the task-related visual information influences whether a novel causes distraction or facilitation. Our study shows that the impact of a novel sound on the performance in a visual primary task is different between school children and adults. Within the theoretical framework of San Miguel and colleagues, we conclude that the alerting potential of novels is larger in children than in adults (at least in the present paradigm). Children do reveal a distraction effect with shorter SOAs between distractor and target information in auditory-visual [18, 43] and auditory-auditory distraction paradigms [19, 21, 24, 25]. Thus, it is possible that it takes some time for the facilitation effect to develop.
A different explanation for facilitation in adults comes from a very recent work by Parmentier et al. . They consider novelty distraction to be modulated by the informational value of the sound. If both task irrelevant sound types, standard and novel, contain the same information about the foreground task (for example about the timing a target will appear), novels cause distraction on behavioral level. But if the novel sounds but not the standard sounds contain information they even result in facilitation. Considering the smaller sensory memory in children  and the large SOA we chose, it may be possible that children could not carry the informational value of the standard sounds to the primary task. The novels, due to their activating nature, may have delivered the timing information more efficiently resulting in a shortage of the reaction time. On the other hand, and in line with Parmentier et al.  adults could have picked up the target information from both stimulus types and thus get distracted from the violation of the auditory pattern.
In the present study, the novelty effect was not modulated by task load (although task load had a clear effect on RTs per se). This adds to the divergent findings with respect to the effect of task load on distraction. It seems that depending on various factors - such as the specific nature of the task or the SOA - an increase in task-load can increase or decrease distraction or it can have no effect.
From a developmental point of view our results are quite astonishing as usually distractors should impair behavior, especially in children. It should be the purpose of future studies to elaborate how this facilitation evolves and which aspects are responsible for it.
The auditory ERPs per se show morphologic differences between children and adults which are consistent with previous studies (e.g. [19, 21, 45, 46]). However, the P3a appears to be relatively similar between the age groups. Thus, although sensory processing, at least its neural basis reflected by the ERPs, is still immature in children, the novel-specific attentional orienting as reflected by P3a is already well developed at the age of 9-10. This is consistent with recent findings about distraction and cognitive control . However, mechanisms underlying RON seem to operate differently in children and adults.
The difference waves of novels and standard sounds in the present paradigm resulted in a positive mismatch response in school children aged 9-10, which previously was only reported in kindergarten children, infants [19, 38, 47], and children aged 7-8 years . Voltage and SCD topographies for this MMR point to a complex generator structure. A prominent central source is accompanied by fronto-lateral sources and parieto-temporal sinks. A combination of temporal areas and deeper central sources appears plausible. Neural sources of the MMR in temporal areas are in line with source modeling done by Maurer and colleagues . Importantly, this MMR was absent in adults and they did also not show an MMN to novels. This absence of MMN was expected on the basis of previous studies showing that MMN is difficult to obtain with omissions of stimulus features [20, 48]. Considering that the environmental sound we used as a standard had a broad frequency spectrum, a novel sound consisted in the omission of parts of the frequency spectrum of the standard. In other words, our stimuli compensate for novelty effects due to different refractory states of novel and standard. We accomplished to control for these effects as was confirmed by our analysis of the N1 time window. These N1 refractoriness effects may in fact be main contributors to the MMN with novels (see  for a review). As such, our results could be seen as further evidence for this interpretation (see also  for similar results). It is still unclear which characteristics are responsible for the elicitation of a positive MMR compared to an MMN. Considering that no other novelty-specific ERP is elicited before the MMR and its latency-similarity to the MMN in adults, it is quite convincing that the MMR reflects the change detection mechanism in the novelty complex . Furthermore, Maurer and colleagues  could show that the MMR is not related to attentional orienting, but is sensitive to the same experimental manipulations as the MMN. However, our results clearly indicate a difference in how novels are processed in children and adults in the time-window of 180-200 ms.
It is still not known which parameters lead to the elicitation of the MMR and, furthermore, its underlying mechanism still has to be investigated intensively. Wetzel et al.  proposed that the long SOA between the sounds is responsible for the frontal positivity. They interpret that the still immature prefrontal cortices lead to a different stimulus processing visible in this positivity. On the other hand, Ĉeponienė et al.  varied the SOA in 7-9 year old children and found neither an attenuation nor amplification of the MMN. But unlike the study of Wetzel et al. , using novels as distractors, Ĉeponienė et al.  used deviant sinusoidal tones. So it appears that the SOA alone is not sufficient to elicit this positivity. It may well be that complexity of the sounds play a more important role.
Supporting this idea, some studies report a quite similar positivity with a latency in the MMN time-range in children ages 9-13 years [17, 18, 37], which is referred to as early P3a (eP3a) circumscribed from the late P3a, also detailed investigated in adults (for a review see ). All mentioned developmental studies used novel sounds and an SOA of at least 1.7 s. The topography of the eP3a is fronto-central and quite focal as is the MMN, only with inversed polarity. Also its generator is thought to be in superior temporal areas, basically the auditory cortex  corresponding well to eP3a generators found in adults [51, 52]. Thus, the positive deflection in our data may be the described eP3a. In the terms of Ĉeponienė and colleagues  it may be that the eP3a governs the attentional shift which is reflected by the late P3a. It is argued that the eP3a is somehow an "attentional-domain 'receiver'", calling for the attentional switch (lP3a) . This is further corroborated by the latency difference of early and late P3a - of around 100 ms which is of the same order needed to shift attention from one spatial focus to another . Also the decreased latency difference in the eP3a-lP3a complex in children compared to adults  coincide with general latency decreases of ERP components found from child- to adulthood . Hence, the similarities of the topographies and scalp current densities of the eP3a in children (see Figure 3 and ) and adults (see ), especially the central source, support the interpretation of both as the same process.
Besides MMR and eP3a there is a third way of how the presented positivity can be interpreted. As its latency is in the P2 range it may be argued that the effect is a modulation of the P2 (see Figure 2). Also the central source in the MMR time window, visible in the SCDs in Figure 3, is supporting this notion. Unfortunately it is even harder to speculate on the underlying function when we regard the MMR as a P2 effect, because the functions underlying the P2 are almost as widely circumscribed as its generators (for a review see ). However, a recent article argued that the P2 mechanism serves to efficiently regulate access to perceptual representations . In this framework our results may indicate that this mechanism in children needs much more effort to access the representation of novels compared to standards, another hint for children being more stimulus driven than adults. In other words, adults may access the perceptual representation of novels and standards similarly, and process the deviating aspect of novels differently thereafter (P3a and RON). In children novels and standards may yield different perceptual representations reflected in the different P2 amplitudes.
Of course we may also think of the MMR as a conglomerate of the described processes including mismatch detection, attention shift government and access to perceptual representations. It is crucial to further explore this positivity in future studies to disentangle its underlying functions and contributing sources.
However, we could show that MMR with a positive polarity at fronto-central leads are not confined to newborns or kindergarten children but can be obtained with children aged 9-10, which show a classical MMN of negative polarity with smaller SOAs and sinusoidal tones instead of novels [20, 21].
Voltage topographies of the P3a show that children's P3a has a more focused, central distribution, whereas the P3a of adults is broader (but also with a central maximum). This is also confirmed by the SCD topographies which show a different pattern of sinks and sources in children, with one central source and two parietal sinks, than in adults, showing only one fronto-central source. Statistics in the P3a interval showed no effect of age on the processing of novels. That leads to the assumption that the mechanism of orienting on task irrelevant stimuli is already well mature at the age of 9-10 years. In that same interval, we showed larger amplitudes in the high load condition in both age groups. This indicates that memory load modulates the brain activity following the task irrelevant sounds. However, this modulation was statistically not dependent on standard or novel sound presentation, i.e. it did not matter whether the sound was violating a pattern or not. So memory load appears to be not mediating the attention switch on task irrelevant novel sounds.
It has been shown, that the P3a is sensitive to working memory load manipulation [12, 27, 28] indicating a different amount of attentional resources oriented on the distracting stimulus under different load conditions. An explanation of our data is to be found in the structure of our task. In this cross-modal design subjects may have been able to focus efficiently on the visual task. Thereby distractor and task stimulus may have been processed in parallel or at least independently. Evidence for this hypothesis comes from behavioral data by Parmentier et al. . These authors propose that attention capture and target processing are independent as long as they are perceptually distinct, which would be the case in our design. Another possibility is delivered by Muller-Gass and Schröger  who show that the amount of attentional resources determine the extent of distraction. In their study stimuli were carrying both, task relevant and distracting information, increasing the amount of attentional resources on the distractor. In our case attentional resources are directed away from the distractor, leaving the same amount of resources in both load conditions for the orienting process reflected by the P3a. A third distinctive feature of our design is the long sound-target SOA of 600 ms. It seems possible that task load did not modulate the attention shift towards the irrelevant sound (reflected by P3a), because the time between the sound and the visual task relevant stimulus was too long. However the novelty complex is clearly affected by load in the time window following the P3a, which will now be discussed.
In the RON time window scalp voltages show the typical frontal pattern in adults, also confirmed by two frontal sinks in the SCDs. In children however, SCDs show additionally to the frontal sinks a prominent central source and two parietal sinks. Additionally, and in contrast to the P3a, the RON was delayed in children compared to adults. This extends the finding reported by Horváth and colleagues  for 6 year old children to a different age group. Furthermore it strengthens the idea of a functional independence of P3a and RON. Future studies should investigate the development of this delay from early to late school age. Contradictory to the MMR and P3a, RON is clearly affected by the memory load manipulation in adults whereas it is not in children. This results support recent findings  showing that children 7-8 years old are more stimulus-driven than adults. While in the present study in adults the reorienting process is diminished under high memory load, it elicits the same response in children independently of the current load. The findings in adults also support results by Berti and Schröger , who found a decreasing RON with increasing memory load. Following their argumentation we can assume that adults were able to highly focus on the demanding task thereby decreasing the resources admitted to involuntary attention switches, here re-orienting of attention to the task. It was shown before that these executive functions within working memory, which are necessary for the balance between voluntary and involuntary attention resources, are less developed in children especially when it comes to highly salient distractors as used in the present paradigm. As the RON in the children's group is similar in both load conditions we assume that the underlying process of reallocation of attention to the task is carried out to the same extent.
Our divergent results in the P3a and RON time windows are confirmed by recent studies which questioned the strength of the link between P3a and RON in adults [56–58]. Furthermore, comparing children aged 7-8 and adults Wetzel and colleagues  also find dissociations between P3a and RON. Together with our results this indicates that the underlying mechanisms of P3a and RON are not only partly independent but also developing at different ages. It appears that the involuntary attention shift is already well developed around 9 - 10 years while the reorientation mechanism is not.
So far there are only few studies investigating the modulation of visual ERPs by auditory novelty. Escera et al.  found reduced visual N1 and San Miguel et al.  increased visual P3b following auditory novels. We found that visual target detection reflected by P3b (e.g. ) is impaired by novels, independently of memory load. This effect was present for adults and children. There are different explanations for this effect. It is likely that the processing of the auditory novel captures attentional resources that are missing at the later processing of the visual stimuli. Recently Parmentier and colleagues confirmed in a behavioral cross-modal distraction study the hypothesis that the cognitive locus of distraction originated in the shifts of attention occurring between attention capture by the novel sound and the onset of the visual target processing . According to a model of distraction in the cross-modal oddball task by Parmentier and colleagues , the influence of the auditory novels and the visual P3b could also be boosted by a semantic effect triggered by the novelty processing. In other words, the cognitive system is (to some extent) still engaged in novelty processing.
The present cross-modal distraction study yielded different initial processing of novel sounds in children and adults (reflected by MMR), whereas the following attention switch was similar in both age groups (reflected by P3a). Subsequently, reorienting of attention after distraction was affected by memory load in adults but not in children (reflected by RON), suggesting that adults, unlike children, are able to restrict the attentional resources to the novelty processing if the task is highly demanding. At the behavioral level novels yielded distraction in adults but facilitated the performance in children. We assume that the alerting aspect of novels exceeds the distracting aspect only in children. Finally, novel sounds modulated the processing of the visual target stimuli at the ERP and the behavioral level.
Twelve adults (mean age: 24; 2 [years; month], range: 18; 11-33; 4, 6 female, 10 right handed) and 16 children (mean age: 10; 4, range: 9; 4-10; 11, 7 female, 13 right handed), participated in the present study. Handedness was measured with an adapted German version of the Oldfield Scale . Two children did not complete the experiment after the training block due to poor performance (hit rate < 40% and 56%). They did not continue in order to prevent frustration. The remaining subjects (especially the children) liked to play the game. Subjects gave their written (resp. the parents of the children) and oral consent. All subjects reported being healthy, having normal hearing and a normal or corrected to normal sight. Adults were paid for their participation and children received a voucher for toys, CDs, DVDs, books etc. of a local store. The study was approved by the local ethical committee of the Medical Faculty of the University of Leipzig and was conducted following the code of Ethics of the World Medical Association (Declaration of Helsinki).
A frog (3.4 × 4° visual angle) was presented centrally as fixation point (Figure 1). Visual target stimulus was a 2.2 × 1.8° big fly, which was presented at an eccentricity of 4.2° visual angle at one out of eight positions around the frog. Auditory stimuli consisted of a buzzing mosquito sound with 500 ms duration as standard and 52 environmental novel sounds with 500 ms duration, which were rated as identifiable in a previous pilot study. Novels could only occur once in the same condition (see below). Sounds were presented with an intensity of 68 dB (measured by HMS III, head acoustics, Herzogenrath, Germany) through a speaker on each side of the subject, at a distance of 0.9 m and in a 45° angle.
Participants were seated in an acoustically and electrically shielded chamber. The experimental stimulation was presented using Matlab 7.1 (Mathworks Natick, MA) in combination with the Cogent Graphics toolbox (developed by John Romaya at the LON at the Wellcome Department of Imaging Neuroscience). Task load was manipulated using a visual n-back task. In the high load condition (2-back) subjects had to memorize the position of a fly (8 possible positions), which occurred every 2.4 s, and compare it to the position of the fly two trials before (see Figure 1 for the paradigm). In a forced choice task subjects had to press one response button if it was the same position (match) and another button if the positions were different (non-match). Responses had to be given using the index fingers. In the low load condition subjects had to press one response button if the fly appeared on a predefined position (one of the four corners of the screen) and another button when it appeared at any of the other positions. The target positions were restricted to the corners around the frog. Their order was pseudo randomized within subjects to prevent sequence effects. Sides of the buttons were counterbalanced across subjects throughout the experiment. The reaction time window was limited to 1.4 s after onset of the visual stimuli according to studies using a similar paradigm [32, 36]. The response was followed by a feedback (smiling or sad looking frog) indicating whether the response was right or wrong. Every visual target stimulus was preceded by either a frequent standard sound or a rare novel sound. SOA from auditory to visual stimulus was 600 ms. Subjects were instructed to ignore the sounds and concentrate only on the visual stimulation. Before preparing the electrodes, all children completed a training of the high load condition. To prevent frustration and securing a task load manipulation the experiment was conducted only with participants who achieved hit rates exceeding 70% in the training. The whole experiment consisted of 8 blocks (4 in the high and 4 in the low load condition), each of 4.5 minutes length. Each block consisted of 105 trials containing in the visual stimulation 32 (30.5%) matches and 73 (69.5%) non-matches of the visual targets, and 13 (12.4%) novels and 92 (87.6%) standard sounds. The whole experiment, including preparation, breaks, and removal of the electrodes and hair washing had a maximum duration of 2 hours.
Behavioral and electrophysiological recordings and data analysis
Reaction times, hit rates and EEG were measured. Only responses between 200 and 1200 ms were included in the analysis. EEG was recorded with BioSemi amplifiers (BioSemi, Amsterdam) at a digitization rate of 512 Hz. Electrodes (Ag/Ag-Cl-electrodes) were placed at the following positions: Fp1, AF3, F7, F3, FC1, FC5, T7, C3, CP1, CP5, P7, P3, Pz, PO3, O1, Oz, O2, PO4, P4, P8, CP6, CP2, C4, T8, FC6, FC2, F4, F8, AF4, Fp2, Fz, Cz and at the left (M1) and right (M2) mastoids. Raw data processing was performed with the EEGLAB toolbox by Delorme and Makeig . EOG was measured using the setup described by Schlögl et al. , with one electrode at nasion and two electrodes on the outer canthi. Following Schlögl et al.  an automatic eye-movement-correction was applied on the data, preceded by a 0.5 to 100 Hz offline band-pass filter (FIR, Filter-order = 3072, Kaiser-window). The corrected signal was filtered offline with a low-pass filter of 30 Hz (FIR, Filter-order = 188, Kaiser-window) and all electrodes were re-referenced to the right mastoid. On individual level epochs from -100 ms to 1500 ms were computed and averaged for the two different stimulus types in the two memory load conditions. Epochs of -200 ms to 800 ms with amplitude change exceeding 150 μV were discarded from the analysis. A pre- stimulus window of 100 ms served as baseline. Epochs containing standards following epochs containing novel sounds were not included in the analysis, as standards following deviating stimuli may elicit a mismatch response themselves . Voltage and scalp current density (SCD) topographies were computed for the novel-minus-standard difference waves in the both memory load conditions. SCDs were computed as the second spatial derivative of the spherical spline interpolated potential distribution [64, 65]. The maximum degree of the Legendre polynomials was chosen to be 50, and the order of splines (m) was set to 4. A smoothing parameter lambda of 1e-7 was applied.
Behavioral and EEG data were statistically analyzed using repeated measurements ANOVAs. For the behavioral data and the auditory deviance-related ERP component amplitudes (MMN/MMR, P3a and RON) an ANOVA including within-subject factors Memory Load (high load vs. low load), Stimulus Type (standard vs. novel) and the between subject factor Age (9-10 vs. 18-33 years) was applied on Fz. To test for N1 refractoriness effects ANOVAs in the adult group were computed, as children do not show a corresponding N1 . This analysis contained the factors Memory Load and Stimulus Type and was performed on Fz. To test for age related latency effects individual peak latencies for P3a and RON were identified in the difference waves (novel minus standard sounds) on Fz and tested with an ANOVA with the factors Memory Load and Age. In participants who showed ambiguous peak patterns the peak closest to the average peak was measured. Effects on the processing of the visual stimuli were analyzed using an ANOVA with the factors Memory Load, Stimulus Type and Age in the time window of visual P3b. This analysis was performed on Pz, where P3b usually has its maximum (see , for a review). Greenhouse-Geisser-correction was applied where appropriate. Statistically significant ANOVA results were further analyzed with paired t-tests. For all statistical tests an alpha level of .05 was defined. As effect size partial eta square is reported.
This research was supported by the German Research Foundation (DFG) by a grant to Erich Schröger (project number SCHR375/17-2) and the graduate program "Function of Attention in Cognition". The authors wish to thank Iria San Miguel for helpful comments on the manuscript.
- Escera C, Alho K, Schröger E, Winkler I: Involuntary attention and distractibility as evaluated with event-related brain potentials. Audiol Neuro-Otol. 2000, 5: 151-166. 10.1159/000013877.View ArticleGoogle Scholar
- Alho K, Escera C, Díaz R, Yago E, Serra JM: Effects of involuntary auditory attention on visual task performance and brain activity. Neuroreport. 1997, 8: 3233-3237. 10.1097/00001756-199710200-00010.View ArticlePubMedGoogle Scholar
- Escera C, Alho K, Winkler I, Näätänen R: Neural mechanisms of involuntary attention to acoustic novelty and change. J Cogn Neurosci. 1998, 10: 590-604. 10.1162/089892998562997.View ArticlePubMedGoogle Scholar
- Escera C, Yago E, Alho K: Electrical responses reveal the temporal dynamics of brain events during involuntary attention switching. Eur J Neurosci. 2001, 14: 877-883. 10.1046/j.0953-816x.2001.01707.x.View ArticlePubMedGoogle Scholar
- Escera C, Corral MJ, Yago E: An electrophysiological and behavioral investigation of involuntary attention towards auditory frequency, duration and intensity changes. Brain Res Cogn Brain Res. 2002, 14: 325-332. 10.1016/S0926-6410(02)00135-0.View ArticlePubMedGoogle Scholar
- Garcia-Garcia M, Domínguez-Borràs J, San Miguel I, Escera C: Electrophysiological and behavioral evidence of gender differences in the modulation of distraction by the emotional context. Biol Psychol. 2008, 79: 307-316. 10.1016/j.biopsycho.2008.07.006.View ArticlePubMedGoogle Scholar
- Jääskeläinen IP, Alho K, Escera C, Winkler I, Sillanaukee P, Näätänen R: Effects of ethanol and auditory distraction on forced choice reaction time. Alcohol. 1996, 13: 153-156. 10.1016/0741-8329(95)02027-6.View ArticlePubMedGoogle Scholar
- Polo MD, Escera C, Yago E, Alho K, Gual A, Grau C: Electrophysiological evidence of abnormal activation of the cerebral network of involuntary attention in alcoholism. Clin Neurophysiol. 2003, 114: 134-146. 10.1016/S1388-2457(02)00336-X.View ArticlePubMedGoogle Scholar
- Yago E, Corral MJ, Escera C: Activation of brain mechanisms of attention switching as a function of auditory frequency change. Neuroreport. 2001, 12: 4093-4097. 10.1097/00001756-200112210-00046.View ArticlePubMedGoogle Scholar
- Alho K, Escera C, Schröger E: Event-related brain potential indices of involuntary attention to auditory stimulus changes. Detection of Change: Event-related Potential and fMRI Findings. Edited by: Polich J. 2003, Boston: Kluwer Academic Publishers, 21-40.Google Scholar
- Berti S, Schröger E: A comparison of auditory and visual distraction effects: behavioral and event-related indices. Brain Res Cogn Brain Res. 2001, 10: 265-273. 10.1016/S0926-6410(00)00044-6.View ArticlePubMedGoogle Scholar
- Berti S, Schröger E: Working memory controls involuntary attention switching: evidence from an auditory distraction paradigm. Eur J Neurosci. 2003, 17: 1119-1122. 10.1046/j.1460-9568.2003.02527.x.View ArticlePubMedGoogle Scholar
- Friedman D, Cycowicz Y, Gaeta H: The novelty P3: an event-related brain potential (ERP) sign of the brain's evaluation of novelty. Neurosci Biobehav Rev. 2001, 25: 355-373. 10.1016/S0149-7634(01)00019-7.View ArticlePubMedGoogle Scholar
- Schröger E, Wolff C: Attentional orienting and reorienting is indicated by human event-related brain potentials. Neuroreport. 1998, 9: 3355-3358. 10.1097/00001756-199810260-00003.View ArticlePubMedGoogle Scholar
- Schröger E, Wolff C: Behavioral and electrophysiological effects of task-irrelevant sound change: a new distraction paradigm. Brain Res Cogn Brain Res. 1998, 7: 71-87. 10.1016/S0926-6410(98)00013-5.View ArticlePubMedGoogle Scholar
- Schröger E, Giard M, Wolff C: Auditory distraction: event-related potential and behavioral indices. Clin Neurophysiol. 2000, 111: 1450-1460. 10.1016/S1388-2457(00)00337-0.View ArticlePubMedGoogle Scholar
- Gumenyuk V, Korzyukov O, Alho K, Escera C, Schröger E, Ilmoniemi RJ, Näätänen R: Brain activity index of distractibility in normal school-age children. Neurosci Lett. 2001, 314: 147-150. 10.1016/S0304-3940(01)02308-4.View ArticlePubMedGoogle Scholar
- Gumenyuk V, Korzyukov O, Alho K, Escera C, Näätänen R: Effects of auditory distraction on electrophysiological brain activity and performance in children aged 8-13 years. Psychophysiology. 2004, 41: 30-36. 10.1111/1469-8986.00123.View ArticlePubMedGoogle Scholar
- Wetzel N, Berti S, Widmann A, Schröger E: Distraction and reorientation in children: a behavioral and ERP study. Neuroreport. 2004, 15: 1355-1358.View ArticlePubMedGoogle Scholar
- Wetzel N, Widmann A, Schröger E: The cognitive control of distraction by novelty in children aged 7-8 and adults. Psychophysiology. 2009, 46: 607-616. 10.1111/j.1469-8986.2009.00789.x.View ArticlePubMedGoogle Scholar
- Horváth J, Czigler I, Birkás E, Winkler I, Gervai J: Age-related differences in distraction and reorientation in an auditory task. Neurobiol Aging. 2009, 30: 1157-1172. 10.1016/j.neurobiolaging.2007.10.003.View ArticlePubMedGoogle Scholar
- Sussman E, Ĉeponienė R, Shestakova A, Näätänen R, Winkler I: Auditory stream segregation processes operate similarly in school-aged children and adults. Hear Res. 2001, 153: 108-114. 10.1016/S0378-5955(00)00261-6.View ArticlePubMedGoogle Scholar
- Wetzel N, Schröger E: Modulation of involuntary attention by the duration of novel and pitch deviant sounds in children and adolescents. Biol Psychol. 2007, 75: 24-31. 10.1016/j.biopsycho.2006.10.006.View ArticlePubMedGoogle Scholar
- Wetzel N, Widmann A, Berti S, Schröger E: The development of involuntary and voluntary attention from childhood to adulthood: A combined behavioral and event-related potential study. Clin Neurophysiol. 2006, 117: 2191-2203. 10.1016/j.clinph.2006.06.717.View ArticlePubMedGoogle Scholar
- Wetzel N, Schröger E: Cognitive control of involuntary attention and distraction in children and adolescents. Brain Res. 2007, 1155: 134-146. 10.1016/j.brainres.2007.04.022.View ArticlePubMedGoogle Scholar
- Escera C, Corral MJ: Role of Mismatch Negativity and Novelty-P3 in Involuntary Auditory Attention. J Psychophysiol. 2007, 21: 251-264. 10.1027/0269-8803.21.34.251.View ArticleGoogle Scholar
- Muller-Gass A, Schröger E: Perceptual and cognitive task difficulty has differential effects on auditory distraction. Brain Res. 2007, 1136: 169-177. 10.1016/j.brainres.2006.12.020.View ArticlePubMedGoogle Scholar
- San Miguel I, Corral MJ, Escera C: When loading working memory reduces distraction: behavioral and electrophysiological evidence from an auditory-visual distraction paradigm. J Cogn Neurosci. 2008, 20: 1131-1145. 10.1162/jocn.2008.20078.View ArticleGoogle Scholar
- San Miguel I, Morgan HM, Klein C, Linden D, Escera C: On the functional significance of Novelty-P3: Facilitation by unexpected novel sounds. Biol Psychol. 2010, 83: 143-152. 10.1016/j.biopsycho.2009.11.012.View ArticleGoogle Scholar
- Lavie N: Distracted and confused?: Selective attention under load. TiCS. 2005, 9: 75-85.Google Scholar
- Cowan N: Multiple concurrent thoughts: The meaning and developmental neuropsychology of working memory. Dev Neuropsychol. 2010, 35: 447-474. 10.1080/87565641.2010.494985.PubMed CentralView ArticlePubMedGoogle Scholar
- Aronen ET, Vuontela V, Steenari MR, Salmi J, Carlson S: Working memory, psychiatric symptoms, and academic performance at school. Neurobiol Learn Mem. 2005, 83: 33-42. 10.1016/j.nlm.2004.06.010.View ArticlePubMedGoogle Scholar
- Cowan N, Towse JN, Hamilton Z, Saults JS, Elliott EM, Lacey JF, Moreno MV, Hitch GJ: Children's working-memory processes: a response-timing analysis. J Exp Psychol Gen. 2003, 132: 113-132. 10.1037/0096-3422.214.171.124.View ArticlePubMedGoogle Scholar
- Cowan N, Elliott EM, Saults JS, Morey CC, Mattox S, Hismjatullina A, Conway ARA: On the capacity of attention: its estimation and its role in working memory and cognitive aptitudes. Cogn Psychol. 2005, 51: 42-100. 10.1016/j.cogpsych.2004.12.001.PubMed CentralView ArticlePubMedGoogle Scholar
- Libertus ME, Brannon EM, Pelphrey KA: Developmental changes in category-specific brain responses to numbers and letters in a working memory task. Neuroimage. 2009, 44: 1404-1414. 10.1016/j.neuroimage.2008.10.027.PubMed CentralView ArticlePubMedGoogle Scholar
- Vuontela V, Steenari MR, Carlson S, Koivisto J, Fjöllberg M, Aronen ET: Audiospatial and visuospatial working memory in 6-13 year old school children. Learn Mem. 2003, 10: 74-81. 10.1101/lm.53503.PubMed CentralView ArticlePubMedGoogle Scholar
- Ĉeponienė R, Lepistö T, Soininen M, Aronen E, Alku P, Näätänen R: Event-related potentials associated with sound discrimination versus novelty detection in children. Psychophysiology. 2004, 41: 130-141. 10.1111/j.1469-8986.2003.00138.x.View ArticlePubMedGoogle Scholar
- Maurer U, Bucher K, Brem S, Brandeis D: Development of the automatic mismatch response: from frontal positivity in kindergarten children to the mismatch negativity. Clin Neurophysiol. 2003, 114: 808-817. 10.1016/S1388-2457(03)00032-4.View ArticlePubMedGoogle Scholar
- Muller-Gass A, Stellmack RM, Campbell KB: The effect of visual task difficulty and attentional direction on the detection of acoustic change as indexed by the Mismatch Negativity. Brain Res. 2006, 1078: 112-130. 10.1016/j.brainres.2005.12.125.View ArticlePubMedGoogle Scholar
- Schröger E: A neural mechanism for involuntary attention shifts to changes in auditory stimulation. J Cogn Neurosci. 1996, 8: 27-539. 10.1162/jocn.19126.96.36.1997.View ArticleGoogle Scholar
- San Miguel I, Linden D, Escera C: Attention capture by novel sounds: Distraction vs. facilitation. Eur J Cogn Psychol. 2010, 22: 481-515. 10.1080/09541440902930994.View ArticleGoogle Scholar
- Parmentier FBR, Esley JV, Ljungberg JK: Behavioral distraction by auditory novelty is not only about novelty: The role of the distracter's informational value. Cognition. 2010, 115: 504-511. 10.1016/j.cognition.2010.03.002.View ArticlePubMedGoogle Scholar
- Gumenyuk V, Korzyukov O, Escera C, Hämäläinen M, Huotilainen M, Häyrinen T, Oksanen H, Näätänen R, von Wend L, Alho K: Electrophysiological evidence of enhanced distractibility in ADHD children. Neurosci Lett. 2003, 374: 212-217. 10.1016/j.neulet.2004.10.081.View ArticleGoogle Scholar
- Gomes H, Sussman E, Ritter W, Kurtzberg D, Cowan N, Vaughan HG: Electrophysiological evidence of developmental changes in the duration of auditory sensory memory. Dev Psychol. 1999, 35: 294-302. 10.1037/0012-16188.8.131.524.View ArticlePubMedGoogle Scholar
- Ĉeponienė R, Rinne T, Näätänen R: Maturation of cortical sound processing as indexed by event-related potentials. Clin Neurophysiol. 2002, 113: 870-882. 10.1016/S1388-2457(02)00078-0.View ArticlePubMedGoogle Scholar
- Mueller V, Brehmer Y, von Oertzen T, Li SC, Lindenberger U: Electrophysiological correlates of selective attention: a lifespan comparison. BMC Neurosci. 2008, 9: 18-10.1186/1471-2202-9-18.PubMed CentralView ArticlePubMedGoogle Scholar
- Friederici A, Friedrich M, Weber C: Neural manifestation of cognitive and precognitive mismatch detection in early infancy. Neuroreport. 2002, 13: 1251-1254. 10.1097/00001756-200207190-00006.View ArticlePubMedGoogle Scholar
- Sabri M, Campbell KB: Mismatch negativity to inclusions and omissions of stimulus features. Neuroreport. 2000, 11: 1503-7.PubMedGoogle Scholar
- May PJC, Tiitinen H: Mismatch Negativity (MMN), the deviance-elicited auditory deflection, explained. Psychophysiology. 2010, 47: 66-122. 10.1111/j.1469-8986.2009.00856.x.View ArticlePubMedGoogle Scholar
- Ĉeponienė R, Cheour M, Näätänen R: Interstimulus interval and auditory event-related potentials in children: evidence for multiple generators. Electroencephalogr Clinl Neurophysiol. 1998, 108: 345-354. 10.1016/S0168-5597(97)00081-6.View ArticleGoogle Scholar
- Alho K, Winkler I, Escera C, Huotilainen M, Virtanen J, Jääskeläinen IP, Pekkonen E, Ilmoniemi R: Processing of novel sounds and frequency changes in the human auditory cortex: Magnetoencephalographic recordings. Psychophysiology. 1998, 35: 211-224. 10.1017/S004857729800211X.View ArticlePubMedGoogle Scholar
- Yago E, Escera C, Alho K, Giard MH, Serra-Grabulosa JM: Spatiotemporal dynamics of the auditory novelty-P3 event-related brain potential. Brain Res Cogn Brain Res. 2003, 16: 383-390. 10.1016/S0926-6410(03)00052-1.View ArticlePubMedGoogle Scholar
- Crowley KE, Colrain IM: A review of the evidence for P2 being an independent component process: age, sleep and modality. Clin Neurophysiol. 2004, 115: 732-744. 10.1016/j.clinph.2003.11.021.View ArticlePubMedGoogle Scholar
- Tong Y, Melara RD, Rao A: P2 enhancement from auditory discrimination training is associated with improved reaction times. Brain Research. 2009, 1297: 80-88. 10.1016/j.brainres.2009.07.089.View ArticlePubMedGoogle Scholar
- Parmentier FBR, Elford G, Escera C, Andrés P, San Miguel I: The cognitive locus of distraction by acoustic novelty in the cross-modal oddball task. Cognition. 2008, 106: 408-432. 10.1016/j.cognition.2007.03.008.View ArticlePubMedGoogle Scholar
- Bendixen A, Roeber U, Schröger E: Regularity extraction and application in dynamic auditory stimulus sequences. J Cogn Neurosci. 2007, 19: 1664-1677. 10.1162/jocn.2007.19.10.1664.View ArticlePubMedGoogle Scholar
- Horváth J, Winkler I, Bendixen A: Do N1/MMN, P3a, and RON form a strongly coupled chain reflecting the three stages of auditory distraction?. Biol Psychol. 2008, 79: 139-147. 10.1016/j.biopsycho.2008.04.001.View ArticlePubMedGoogle Scholar
- Jankowiak S, Berti S: Behavioral and event-related potential distraction effects with regularly occuring auditory deviants. Psychophysiology. 2007, 44: 79-85. 10.1111/j.1469-8986.2006.00479.x.View ArticlePubMedGoogle Scholar
- Polich J, Comerchero MD: P3a from visual stimuli: Typicality, task, and topography. Brain Topography. 2003, 15: 141-152. 10.1023/A:1022637732495.View ArticlePubMedGoogle Scholar
- Oldfield RC: The assessment and analyses of handedness: The Edinburgh inventory. Neuropsychologia. 1971, 9: 97-113. 10.1016/0028-3932(71)90067-4.View ArticlePubMedGoogle Scholar
- Delorme A, Makeig S: EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods. 2004, 134: 9-21. 10.1016/j.jneumeth.2003.10.009.View ArticlePubMedGoogle Scholar
- Schlögl A, Keinrath C, Zimmermann D, Scherer R, Leeb R, Pfurtscheller G: A fully automated correction method of EOG artifacts in EEG recordings. Clin Neurophysiol. 2007, 118: 98-104. 10.1016/j.clinph.2006.09.003.View ArticlePubMedGoogle Scholar
- Schröger E: The Mismatch Negativity as a Tool to Study Auditory Processing. Acta Acoustica united with Acustica. 2005, 91: 490-501.Google Scholar
- Perrin F, Pernier J, Bertrand O, Echallier JF: Spherical splines for scalp potential and current density mapping. Electroencephalogr Clin Neurophysiol. 1989, 72: 184-187. 10.1016/0013-4694(89)90180-6.View ArticlePubMedGoogle Scholar
- Perrin F, Pernier J, Bertrand O, Echallier JF: Corrigenda EEG 02274. Electroencephalogr Clinl Neurophysiol. 1990, 76: 565-10.1016/0013-4694(90)90009-9.View ArticleGoogle Scholar
- Polich J: Updating P300: An intergrative theory of P3a and P3b. Clin Neurophysiol. 2007, 118: 2128-2148. 10.1016/j.clinph.2007.04.019.PubMed CentralView ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.