An ERP-study of brand and no-name products
© Thomas et al.; licensee BioMed Central Ltd. 2013
Received: 25 December 2012
Accepted: 12 November 2013
Published: 23 November 2013
Brands create product personalities that are thought to affect consumer decisions. Here we assessed, using the Go/No-go Association Task (GNAT) from social psychology, whether brands as opposed to no-name products are associated with implicit positive attitudes. Healthy young German participants viewed series of photos of cosmetics and food items (half of them brands) intermixed with positive and negative words. In any given run, one category of goods (e.g., cosmetics) and one kind of words (e.g., positive) had to be responded to, whereas responses had to be withheld for the other categories. Event-related brain potentials were recorded during the task.
Unexpectedly, there were no response-time differences between congruent (brand and positive words) and incongruent (brand and negative words) pairings but ERPs showed differences as a function of congruency in the 600–750 ms time-window hinting at the existence of implicit attitudes towards brand and no-name stimuli. This finding deserves further investigation in future studies. Moreover, the amplitude of the late positive component (LPC) was found to be enhanced for brand as opposed to no-name stimuli.
Congruency effects suggest that ERPs are sensitive to implicit attitudes. Moreover, the results for the LPC imply that pictures of brand products are more arousing than those of no-name products, which may ultimately contribute to consumer decisions.
KeywordsGo/Nogo Event-related potentials Brands Neuromarketing Implicit associations Late positive component Lateralized readiness potential
A brand is the personality that identifies a product. Brands like Coca Cola, Ford, or Chanel are deeply embedded in our lives, and companies struggle hard to develop their brands and to provide a unique selling proposition . In most markets, there are competitors selling no-name products which try to gain a share of the business. A central question in marketing research is therefore to what extent positive attitudes towards brands contribute to consumer decisions. Interview statements and verbal self-reports may provide some information  but they are notoriously insensitive with regard to the consumer’s decision [3–5]. Moreover, they are insensitive to implicit associations that are linked to unconscious automatic attitudes [6, 7]. Brands are thought to implicitly engage specific positive associations (e.g., quality, value, youth, strength, speed, etc.) which are not triggered by no-name products. Such implicit associations may be critical for the consumer’s decision to buy [8–11].
Neuroimaging studies have demonstrated activations of reward related structures such as the striatum and the dorsolateral prefrontal cortex in response to stimuli representing brand products [12–16]. Thus, brands seem to have an implicitly rewarding property. Moreover, Schaefer  pointed out that brands, in particular luxury brands, may also be used to mark the social status of the owner and indeed logos of luxury brands were associated with brain activity in the anterior medial prefrontal cortex, a region known to be associated with self-centered cognitions .
Another way to assess the presence of implicit attitudes has been proposed by Nosek and Banaji  who devised the Go/No-go Association Task (GNAT). This test, disguised as a choice reaction time task, can be used to measure associations between categories (e.g., faces of elderly or young people - assuming that elderly faces are associated with negative attitudes) and either pole of an evaluative dimension (e.g., positive or negative words). Words and category stimuli appear in different trials and randomly intermixed. In any given block of the experiment, participants are required to make a Go-response (button press) to one of the categories under study (e.g., faces of young people) and to one kind of words (e.g., positive words) while withholding responses (Nogo) to the other stimulus types (here: elderly faces, negative words). Category and word stimuli are combined differently for consecutive blocks of the experiment. Go-responses to incongruent pairings (e.g., press for elderly people or positive words) typically result in slower response-times (RTs) as compared to congruent pairings (e.g. elderly people and negative words) showing that the average participant in such an experiment harbors implicit negative attitudes towards the elderly. Differences in response times (RTs) can thus be taken as an index of the strength of an individual’s automatic association, with a bigger difference indicating a stronger implicit attitude. The GNAT and the closely related dual-response Implicit Association Test (IAT)  have successfully been used to investigate implicit attitudes towards race, gender and body-weight [18, 20] as well as consumer goods [21–24]. With the specific aim to investigate whether implicit or explicit attitudes towards brand and no-name products influence the actual choice of consumers, Friese et al.  tested explicit preferences on a 7-point Likert scale and implicit preferences using the IAT. Participants were then given the choice between brand and no-name products. Participants whose explicit and implicit preferences regarding no-name and brand were incongruent more often chose the implicitly preferred brand over the explicitly preferred one when choices were made under time pressure. When no time–pressure was present, the opposite pattern emerged. Thus, implicit attitudes towards consumer products might influence consumer decisions under certain circumstances. A similar finding was recently reported by Beattie and Sale  who investigated consumer behavior with regard to high and low carbon dioxide products. While explicit measures did not differentiate the choice of high/low carbon products, the implicit measure did. Again, time pressure was a significant factor. Because of such findings, the importance of implicit measures in consumer research has been stressed recently [9, 11].
In previous work [26, 27] we have adapted the GNAT paradigm to be used with event-related potentials (ERPs) taking advantage of the fact that studies in various cognitive domains have uncovered robust ERP findings that can be used as chronometric indices for the decision processes leading to the Go or Nogo response. The GNAT lends itself to electrophysiological studies much better than the IAT as it has the advantage to yield two components that can be used to describe the relative timing of information access, the N200 and the lateralized readiness potential (LRP). This lateralized part of the readiness potential has been used as an index for specific response preparation  and can be isolated by a double subtraction technique [29–31]. Importantly, the resulting LRP can be obtained for trials requiring a “go”-response, as well as for trials requiring a “nogo” response. In the latter, temporary development of a negative LRP may indicate that some information was present favoring a go-response. Thus, this method allows to derive critical information about the absolute and relative timing of information access even in the absence of overt responses [32–36].
A number of electrophysiological studies have directly compared Nogo and Go-trials and have shown that the stimulus-locked ERP in Nogo-trials is characterized by a large negativity of about 1–4 μV in size occurring with task dependent onset latencies over the fronto-central scalp [37–40]. This frontal “N200” has been linked to inhibitory processes [41–44].
We hypothesized that implicit attitudes would be reflected by response latencies for the product decisions such that brands should be responded to faster in blocks that paired the product category of the brand with positive words, whereas response latencies for no-name-products were expected to be faster in blocks that paired the product categories with negative words.
In an unpublished companion study, using fMRI, we found a behavioural effect of product status (brand vs. no-name) on the response latency such that congruent pairings (brand and positive words; no-name products and negative words) led to faster reaction times compared to incongruent pairings. Moreover, comparison of fMRI activations in incongruent and congruent trials revealed significant differences in several brain areas suggesting that brands are implicitly associated with positive attitudes.
Thus, we hypothesized that a similar behavioural pattern should also emerge in the present study. Moreover, similar to our GNAT study assessing implicit attitudes towards fruits and insects  and old and young people , we expected a latency difference of the N200 component as a function of congruency (longer latency for incongruent trials) which would enable us to locate the effect of brands in time. Likewise, with regard to the lateralized readiness potential, we hypothesized that for congruent blocks the onset of the LRP should be earlier than in incongruent blocks . While in light of our previous work we formulated our hypotheses with regard to the N200 and LRP components, we were also interested in any differences between ERPs recorded in incongruent and congruent conditions, as these could be taken as an indicator of the presence of implicit associations.
Responses to brand products (congruent = 670 ms, SD = 196; incongruent = 668 ms, SD = 189) were faster than those to no-name products (congruent = 694 ms, SD = 202; incongruent = 694 ms, SD = 204; F(1,15) = 24.56, p < .001). The main effects of Congruency (F(1,15) = 0.07) and Response hand (F(1,15) = 1.47) and the interaction effects (Product x Congruency, F(1,15) = 0.01; Product x Hand, F(1,15) = 0.93; Congruency x Hand, F(1,15) = 1.87; Product x Congruency x Hand, F(1,15) = 1.24) did not reach significance. Response latencies to negative (758 ms, SD = 190) and positive words (773 ms, SD = 197) were statistically indistinguishable (T(15) = 0.86, n.s.).
With regard to errors, only a low error rate was observed for the picture trials (0.94% in Go trials and 5% in Nogo trials). For the Go trials, statistical analysis revealed neither a main effect of Product (F(1,15) = 2.1, p = .17), a main effect of Congruency (F(1,15) = .03, p = .86) nor a significant Product x Congruency interaction (F(1,15) = .12, p = .73). A similar pattern was observed for Nogo-trials (Product, F(1,15) = .12, p = .73; Congruency, F(1,15) = 1.07, p = .32; Product x Congruency, F(1,15) = 1.3, p = .27). Word trials were similarly associated with a low error rate (3.06% in Go trials, 5.0% in Nogo trials).
ERPs to words
The present investigation was conducted to delineate the presence and time-course of implicit attitudes to brands and no-name products using the Go Nogo Association Task. We failed to observe a reaction time pattern indicative of implicit associations, which was puzzling as an unpublished fMRI experiment by our group using the same materials had revealed a robust RT effect. Also, we did not observe a latency difference of the N200 and LRP components as a function of congruency. Such latency differences had emerged in previous studies of our group investigating implicit attitudes towards “fruits and bugs”  and elderly and young faces . However, we did observe later ERP differences as a function of congruency which occurred considerably later in time than the N200 component. Moreover, we also found a general difference between ERPs to brand and no-name products with the former having a more positive waveform starting around 300 ms.
Implicit associations to brands?
As stated above, we failed to demonstrate the expected effects of congruency on response latencies to the brand and no-name product stimuli. It has to be pointed out, however, that the current experiment diverges from the standard procedure of the GNAT in several important ways: First, rather than presenting simple categories of items (e.g., fruits and insects) and pairing them with words of a specific valence, we used conjoint categories (brand cosmetics, no-name cosmetics, brand foods, no-name foods). Nosek and Banaji  have pointed out that conjoint categories might be special. For example, the evaluation of subgroups of larger social groups (e.g., race/ethnicity) may be different from that of the entire larger group. Thus, white Americans may be evaluated in a particular manner that is dissimilar to evaluations of Italian Americans and Polish Americans. In addition, in our experiment participants had to make judgements about class membership (cosmetics, food items) but we were interested in within class differences in implicit associations (e.g., brand cosmetics, no-name cosmetics).
In spite of these differences to standard GNAT designs, an fMRI experiment using the same stimulus materials (albeit with a different timing because of the requirements of the MRI-method) revealed a reaction time increase for incongruous relative to congruous stimuli of 50 ms. This was true for both, brands (ΔRT 25 ms) and no-name products (ΔRT 74 ms). Please note, that as in the current task the following pairings were considered congruous: brands + positive words, no-name products + negative words. At this point we can therefore only speculate as to why there was no effect of congruity in the present set of data? One possible explanation concerns the participants: Whereas the participants of the MRI study were 29 years old (mean), mostly working in academic professions and from Hannover, West Germany, the participants of the current EEG study were considerably younger (22 years), students and from Magdeburg, East Germany. It is conceivable that the difference in environment, age and financial resources might have influenced implicit attitudes towards brand and no-name food and cosmetic products.
In light of the missing difference for the response latencies for congruent and incongruent stimuli, it is no surprise that no latency differences were observed for the N200 component of the ERP or the LRP. There have been, however, congruity-related modulations of the ERP in a later time-window (600–800 ms) in particular for the Nogo condition. Interestingly, whereas for brand stimuli the incongruous condition led to a more negative waveform in this time-range, the opposite effect was observed for the no-name stimuli. A previous study, using a structurally similar Go/Nogo paradigm in the assessment of bilingual language processing also described such late effects of incongruity in Nogo trials (see Figure 3 in ). In this study incongruency effects for the go-responses were seen in the latency range of the N200 component and consequently was interpreted as reflecting partial inhibition of the go response. By contrast, an increased negativity due to incongruency with an onset latency of about 600 ms was seen for the nogo responses. This was seen as a reflection of inhibition as the particular stimulus contained information favoring a go-response. For the brand stimuli of the current study, a similar logic can be applied: Consider nogo brand stimuli in incongruent blocks: In these blocks positive words have to be responded to whereas (positively valued) brands are associated with a nogo response. The positive connotation should lead to a tendency to press the button which needs to be suppressed, manifesting itself in the late ERP effect.
Differences between brands and no-name products
Interestingly, we observed general differences between brands and no-name products. First, responses to brand products were about 25 ms faster. Secondly, the ERPs to brand products were associated with a more positive waveform. In the ERP literature, a number of late positivities have been described, such as the P3/P300 [48, 49] and the late positive component .
Whereas the P3 in visual tasks is usually rather peaked in appearance and occurs with latencies between 300 and 500 ms, the late positive components have a more extended waveshape and have been decribed in a number of situations, including retrieval of items from memory [51–53] but particularly in response to emotional stimuli. A long-lasting elevated ERP positivity to emotional, arousing pictures is a common finding [54–62]. It has been reported that pleasant as well as unpleasant stimuli elicit more positive-going ERPs in the 300–900 ms range and that such stimuli are recalled more often than neutral stimuli . From its latency and distributional characteristics the current enhanced positivity for brand products could be related to these earlier findings, suggesting that brand products are more arousing which in turn might lead to a better retrieval and ultimately might consumers’ decisions.
LPC enhancement has also been reported for familiar compared to unfamiliar stimuli . As the relative familiarity of brand products and no name products differed, an alternative explanation of the greater LPC could be that this simply reflects different degrees of familiarity rather than differential emotional engagement. At this point, we are unable to distinguish between these two possibilities.
We did not observe a response latency difference or N200 latency difference between congruent and incongruent pairings of brand/no-name products and positive/negative words. Further research is needed to assess whether this was due to our specific adaptation of the GNAT-paradigm. The addition of ERPs to the GNAT has proven useful in the current experiment, as we could reveal late effects of congruency as well as a more general effect of brands vs. no-name products indicative of a deeper processing of brands. The IAT (e.g., [10, 21, 23, 64] and priming paradigms  may present an additional fruitful avenue to explore the neural effects of implicit attitudes towards brands.
All procedures and materials were approved by the institutional review board of the University of Magdeburg, Germany, the affiliation of the senior author at the time of the experiment.
Sixteen young students of the University of Magdeburg (13 women, mean age 22.4 +/− 3.4) gave written consent to participate for financial compensation or course credit. All had normal or corrected-to-normal vision, were right-handed, neurologically healthy and native German speakers. Eight further participants were lost due to technical difficulties or excessive artefacts.
Stimuli and procedure
An illustration of the basic classes of stimuli and the timing of the experiment is given in Figure 1. The critical stimuli were color photographs of brands (n = 24) and no-name products (n = 24). We made sure that we had pairs of stimuli (e.g., one famous type of coffee and one no-name coffee) and that the photographs of these pairs were matched as closely as possible for the angle from which the photo was taken, size of the product on the photo and background (all black). Also, the graphical complexity of the label was similar. Thus, no-name products with plain labels (“body lotion”, “yoghurt”) without graphical elaboration were avoided. Half of the pictures in each category (brands/no-name products) depicted cosmetics, the other half depicted food items, thus yielding 4 stimulus categories (cosmetic brand, food brand, cosmetic no-name, food no-name). Pictures were taken for the study and were presented in the center against a black background. The stimuli were assessed for familiarity in a further group of young healthy adults (n = 15, 8 women, age 21–35, mean age 28.1 years) on a 5 point Likert scale ranging from 1 (not at all familiar) to 5 (very familiar). The brand-name products had a high degree of familiarity (mean 4.3, SD 0.9), whereas the familiarity of the no-name products was lower (mean 2.7, SD 1.6; p < 0.01).
In addition, 48 word stimuli (half with a negative valence, e.g. bomb; half with a positive valence, e.g. sunshine) were taken from Banfield et al.  and were matched for length and frequency using the CELEX data base . Stimuli were presented on a video-monitor using the software Presentation (Neurobehavioral Systems, Inc).
Press the button with the left hand for food products and positive words and withhold a response to cosmetics and negative words.
Press the button with the left hand for food products and negative words and withhold a response to cosmetics and positive words.
Press the button with the left hand for cosmetic products and positive words and withhold a response to food and negative words.
Press the button with the left hand for cosmetic products and negative words and withhold a response to food and positive words.
-8. As in 1 to 4 but with right hand button presses.
Please note that the participants were not aware that the main purpose of the study was to distinguish behavioural responses and brain activity to brands and no-name products. Responses were given using a modified computer mouse held either in the left or right hand. Statistical analysis of response latencies was carried out by analysis of variance (ANOVA) with product (brand, no name), congruency (congruent, incongruent) and response hand (left, right) as within subject factors.
The order of the runs/instructions was counterbalanced across participants. The whole experiment lasted approximately 43 minutes (excluding electrode application, instructions for the different runs, and debriefing). Participants were tested in a dimly lit room while sitting in a comfortable chair. The distance to the display was 80 cm.
ERP recording and data analyses
The ERPs were recorded from the scalp using tin electrodes mounted in an elastic cap and located at 29 standard positions (Fpz, Fz, Cz, Pz, Fp1/2, F3/4, C3/4, P3/4, O1/2, F7/8, T3/4, T5/6, Fc1/2, Cp1/2, Fc5/6, Cp5/6). A reference electrode was placed on the left mastoid process. Vertical eye movements were monitored with an electrode at the infraorbital ridge of the right eye against Fpz (vertical EOG) and with a bipolar montage between two electrodes placed on the lateral canthi of the left and right eye (horizontal EOG). Electrode impedances were kept below 10 kOhm.
The electrophysiological signals were filtered with a bandpass of 0.01-70 Hz (half-amplitude cutoffs) and digitized at a rate of 250 Hz. Trials on which base-to-peak electro-oculogram (EOG) amplitude exceeded 200 μV, amplifier saturation occurred, or the baseline shift exceeded 250 μV/s were automatically rejected off-line. Datasets with more than 30% of the trials rejected were excluded from further analysis. For the remaining participants mean rejection rate was 16.2%.
Artifact free and correct trials were averaged separately for each stimulus type and condition over epochs of 1024 ms starting 100 ms prior to the stimulus. ERPs from the different conditions were later combined to yield 4 basic conditions. For all statistical effects involving two or more degrees of freedom in the numerator, the Greenhouse-Geisser epsilon was used to correct possible violations of the sphericity assumption. Exact p-value after correction will be reported. Tests involving electrode x condition interactions (e.g., factors as hemisphere or anterior-posterior electrode location) were carried out on data corrected using the vector normalization procedure described by McCarthy and Wood .
Mean amplitudes and peak latencies were computed for different time-windows, which were subjected to analyses of variance (ANOVA) with the factors Product (brand and no-name), Congruency (congruent and incongruent), Go/Nogo (Go and Nogo) and Electrode site.
We thank Josefine Morgenstern, Joanna Brühl and Jan-Ole Schümann for their help with data collection. The work was supported by grants from the DFG and the BMBF to TFM.
- Kotler P, Keller KL: Marketing Management. 2009, New York: Prentice Hall International
- Ajzen I, Fishbein M: The prediction of behavioral intentions in a choice situation. J Exp Soc Psychol. 1969, 5: 400-416.View Article
- Mast FW, Zaltman G: A behavioral window on the mind of the market: an application of the response time paradigm. Brain Res Bull. 2005, 67: 422-427.View ArticlePubMed
- Wicker AW: Attitudes versus actions: the relationship of verbal and overt behavioral responses to attitude objects. J Soc Issues. 1969, 25: 41-78.View Article
- Puccinelli NM, Braun K, Mast F, Zaltman G: Implicit predictors of consumer behavior. 2001, Cambridge, Ma: Harvard Business School Publishing
- Bargh JA, Chen M, Burrows L: Automaticity of social behavior: direct effects of trait construct and stereotype activation on action. J Pers Soc Psychol. 1996, 71: 230-244.View ArticlePubMed
- Stanley D, Phelps EA, Banaji MR: The neural basis of implicit attitudes. Curr Dir Psychol Sci. 2008, 17: 164-170.View Article
- Adaval R: How good gets better and bad gets worse: understanding the impact of affect on evaluations of known brands. J Consum Res. 2003, 30: 352-367.View Article
- Dimofte CV: Implicit measures of consumer cognition: a review. Psychol Market. 2010, 27: 921-937.View Article
- Friese M, Wänke M, Plessner H: Implicit consumer preferences and their influence on product choice. Psychol Market. 2006, 23: 727-740.View Article
- Nevid JS: Introduction to the special issue: implicit measures of consumer response-the search for the holy grail of marketing research. Psychol Market. 2010, 27: 913-920.View Article
- Erk S, Spitzer M, Wunderlich AP, Galley L, Walter H: Cultural objects modulate reward circuitry. NeuroReport. 2002, 13: 2499-2503.View ArticlePubMed
- Schaefer M, Rotte M: Favorite brands as cultural objects modulate reward circuit. NeuroReport. 2007, 18: 141-145.View ArticlePubMed
- Schaefer M, Rotte M: Thinking on luxury or pragmatic brand products: brain responses to different categories of culturally based brands. Brain Res. 2007, 1165: 98-104.View ArticlePubMed
- Schaefer M, Rotte M: Combining a semantic differential with fMRI to investigate brands as cultural symbols. Soc Cogn Affect Neurosci. 2010, 5: 274-281.PubMed CentralView ArticlePubMed
- Schaefer M: Neuroeconomics: in search of the neural representation of brands. Prog Brain Res. 2009, 178: 241-252.View ArticlePubMed
- Kelley WM, Macrae CN, Wyland CL, Caglar S, Inati S, Heatherton TF: Finding the self? An event-related fMRI study. J Cogn Neurosci. 2002, 14: 785-794.View ArticlePubMed
- Nosek BA, Banaji MR: The GO/NO-GO association task. Soc Cogn. 2001, 19: 625-664.View Article
- Greenwald AG, McGhee DE, Schwartz JLK: Measuring individual differences in implicit cognition: the implicit association test. J Pers Soc Psychol. 1998, 74: 1464-1480.View ArticlePubMed
- Grover VP, Keel PK, Mitchell JP: Gender differences in implicit weight identity. Int J Eat Disord. 2003, 34: 125-135.View ArticlePubMed
- Maison D, Greenwald AG, Bruin R: Predictive validity of the implicit association test in studies of brands, consumer attitudes, and behavior. J Consum Psychol. 2004, 14: 405-415.View Article
- Okubo S, Ideno T, Takemura K: Implicit recognition test in studies on consumer behavior - possible application of implicit association test: IAT. J Japan Res Assoc Textile End-Uses. 2007, 48: 18-24.
- Perkins A, Forehand M, Greenwald AG, Maison D: The influence of implicit social cognition on consumer behavior: measuring the non-conscious. Handbook of Consumer Psychology. Edited by: Haugtvedt C, Herr P, Kardes F. 2008, Hillsdale, NJ: Lawrence Erlbaum Associates, 461-475.
- Steinman RB, Karpinski A: The single category implicit association test (SC-IAT) as a measure of implicit consumer attitudes. Eur J Soc Sci. 2008, 7: 32-42.
- Beattie G, Sale L: Shopping to save the planet? Implicit rather than explicit attitudes predict low carbon footprint consumer choice. Int J Environ Cult Econ Soc Sustainability. 2011, 7: 211-232.
- Banfield JF, van der Lugt AH, Münte TF: Juicy fruit and creepy crawlies: an electrophysiological study of the implicit Go/NoGo association task. Neuroimage. 2006, 31: 1841-1849.View ArticlePubMed
- van der Lugt AH, Banfield JF, Osinsky R, Münte TF: Brain potentials show rapid activation of implicit attitudes towards young and old people. Brain Res. 2012, 1429: 98-105.View ArticlePubMed
- Kutas M, Donchin E: Preparation to respond as manifested by movement-related brain potentials. Brain Res. 1980, 202: 95-115.View ArticlePubMed
- Coles MGH: Modern mind-brain reading: psychophysiology, physiology and cognition. Psychophysiology. 1989, 26: 251-269.View ArticlePubMed
- Gratton G, Coles MGH, Sirevaag EJ, Eriksen CW, Donchin E: Pre- and poststimulus activation of response channels: a psychophysiological analysis. J Exp Psychol Hum Percept Perform. 1988, 14: 331-344.View ArticlePubMed
- Smid HGOM, Mulder G, Mulder LJM, Brands GJ: A psychophysiological study of the use of partial information in stimulus–response translation. J Exp Psychol Hum Percept Perform. 1992, 18: 1101-1119.View ArticlePubMed
- Miller J, Schaffer R, Hackley SA: Effects of preliminary information in a Go versus No-go task. Acta Psychol. 1991, 76: 241-292.View Article
- Schmitt BM, Münte TF, Kutas M: Electrophysiological estimates of the time course of semantic and phonological encoding during implicit picture naming. Psychophysiology. 2000, 37: 473-484.View ArticlePubMed
- Schmitt BM, Schiltz K, Zaake W, Kutas M, Münte TF: An electrophysiological analysis of the time course of conceptual and syntactic encoding during tacit picture naming. J Cogn Neurosci. 2001, 13: 510-522.View ArticlePubMed
- van Turennout M, Hagoort P, Brown C: The time course of grammatical and phonological processing during speaking: evidence from event-related brain potentials. J Psycholinguist Res. 1999, 28: 649-676.View ArticlePubMed
- van Turennout M, Hagoort P, Brown C: Electrophysiological evidence on the time course of semantic and phonological processes in speech production. J Exp Psychol Learn Mem Cogn. 1997, 23: 787-806.View ArticlePubMed
- Gemba H, Sasaki K: Potential related to no-go reaction of go/no-go hand movement task with color discrimination in human. Neurosci Lett. 1989, 101: 263-268.View ArticlePubMed
- Pfefferbaum A, Ford JM, Weller BJ, Kopell BS: ERPs to response production and inhibition. Electroenceph Clin Neurophysiol. 1985, 60: 423-434.View ArticlePubMed
- Sasaki K, Gemba H: Electrical activity in the prefrontal cortex specific to no-go reaction of conditioned hand movement with colour discrimination in the monkey. Exp Brain Res. 1986, 64: 603-606.View ArticlePubMed
- Simson R, Vaughan J, Ritter W: The scalp topography of potentials in auditory and visual Go/Nogo tasks. Electroenceph Clin Neurophysiol. 1977, 43: 864-875.View ArticlePubMed
- Sasaki K, Gemba H, Tsujimoto T: Suppression of visually initiated hand movement by stimulation of the prefrontal cortex in the monkey. Brain Res. 1989, 495: 100-107.View ArticlePubMed
- Aron AR, Robbins TW, Poldrack RA: Inhibition and the right inferior frontal cortex. Trends Cogn Sci. 2004, 8: 170-177.View ArticlePubMed
- Garavan H, Ross TJ, Stein EA: Right hemispheric dominance of inhibitory control: an event-related functional MRI study. Proc Natl Acad Sci U S A. 1999, 96: 8301-8306.PubMed CentralView ArticlePubMed
- Wager TD, Sylvester CYC, Lacey SC, Nee DE, Franklin M, Jonides J: Common and unique components of response inhibition revealed by fMRI. Neuroimage. 2005, 27: 323-340.View ArticlePubMed
- Rodriguez-Fornells A, Schmitt BM, Kutas M, Münte TF: Electrophysiological estimates of the time course of semantic and phonological encoding during listening and naming. Neuropsychologia. 2002, 40: 778-787.View ArticlePubMed
- Rodriguez-Fornells A, van Der Lugt A, Rotte M, Britti B, Heinze HJ, Münte TF: Second language interferes with word production in fluent bilinguals: brain potential and functional imaging evidence. J Cogn Neurosci. 2005, 17: 422-433.View ArticlePubMed
- McClure SM, Li J, Tomlin D, Cypert KS, Montague LM, Montague PR: Neural correlates of behavioral preference for culturally familiar drinks. Neuron. 2004, 44: 379-387.View ArticlePubMed
- Münte TF, Urbach TP, Düzel E, Kutas M: Event-related brain potentials in the study of human cognition and neuropsychology. Handb Neuropsychol. 2000, 1: 139-235.
- Polich J: Updating P300: an integrative theory of P3a and P3b. Clin Neurophysiol. 2007, 118: 2128-2148.PubMed CentralView ArticlePubMed
- Olofsson JK, Nordin S, Sequeira H, Polich J: Affective picture processing: an integrative review of ERP findings. Biol Psychol. 2008, 77: 247-265.PubMed CentralView ArticlePubMed
- Azizian A, Polich J: Evidence for attentional gradient in the serial position memory curve from ERPs. J Cogn Neurosci. 2007, 19: 2071-2081.PubMed CentralView ArticlePubMed
- Karis D, Fabiani M, Donchin E: P300 and memory—individual differences in the von Restorff effect. Cogn Psychol. 1984, 16: 177-216.View Article
- Paller KA, McCarthy G, Wood CC: ERPs predictive of subsequent recall and recognition performance. Biol Psychol. 1988, 26: 269-276.View ArticlePubMed
- Amrhein C, Muhlberger A, Pauli P, Wiedemann G: Modulation of event-related brain potentials during affective picture processing: a com-plement to startle reflex and skin conductance response?. Int J Psychophysiol. 2004, 54: 231-240.View ArticlePubMed
- Cuthbert BN, Schupp HT, Bradley MM, Birbaumer N, Lang PJ: Brain potentials in affective picture processing: covariation with autonomic arousal and affective report. Biol Psychol. 2000, 52: 95-111.View ArticlePubMed
- Ito T, Cacioppo JT, Lang PJ: Eliciting affect using the international affective picture system: trajectories through evaluative space. Pers Soc Psychol Bull. 1998, 24: 855-879.View Article
- Ito TA, Larsen JT, Smith NK, Cacioppo JT: Negative information weighs more heavily on the brain: the negativity bias in evaluative categorizations. J Pers Soc Psychol. 1998, 75: 887-900.View ArticlePubMed
- Keil A, Muller MM, Gruber T, Wienbruch C, Stolarova M, Elbert T: Effects of emotional arousal in the cerebral hemispheres: a study of oscillatory brain activity and event-related potentials. Clin Neurophysiol. 2001, 112: 2057-2068.View ArticlePubMed
- Mini A, Palomba D, Angrilli A, Bravi S: Emotional information processing and visual evoked brain potentials. Percept Mot Skills. 1996, 83: 143-152.View ArticlePubMed
- Olofsson JK, Polich J: Affective visual event-related potentials: arousal, repetition, and time-on-task. Biol Psychol. 2007, 75: 101-108.PubMed CentralView ArticlePubMed
- Palomba D, Angrilli A, Mini A: Visual evoked potentials, heart rate responses and memory to emotional pictorial stimuli. Int J Psychophysiol. 1997, 27: 55-67.View ArticlePubMed
- Schupp HT, Cuthbert BN, Bradley MM, Cacioppo JT, Ito T, Lang PJ: Affective picture processing: the late positive potential is modulated by motivational relevance. Psychophysiology. 2000, 37: 257-261.View ArticlePubMed
- Hou M, Safron A, Paller KA, Guo C: Neural correlates of familiarity and conceptual fluency in a recognition test with ancient pictographic characters. Brain Res. 2013, 1518: 48-60.View ArticlePubMed
- Maison D, Greenwald AG, Bruin R: The implicit association test as a measure of implicit consumer attitudes. Pol Psychol Bull. 2001, 2: 61-79.
- Baayen RH, Piepenbrock R, Van Rijn H: The CELEX lexical database [CD-ROM]. 1993, Philadelphia: Linguistic Data Consortium, University of Pennsylvania
- McCarthy G, Wood CC: Scalp distributions of event-related potentials: an ambiguity associated with analysis of variance models. Electroenceph Clin Neurophysiol. 1985, 62: 203-208.View ArticlePubMed
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