Distracting Information Research Articles

Performance-contingent reward increases the use of congruent distracting information

In conflict tasks like the Simon task, participants are instructed to respond to a task-relevant target dimension while ignoring additional distracting information. In the Simon task the distracting spatial information can be congruent or incongruent with the task-relevant target information, causing a congruency effect. As seen in the proportion congruency effect and the congruency sequence effect, this congruency effect is larger in mostly congruent blocks and following congruent trials, respectively. Common theories suggest that when the proportion of incongruent trials is high or after an incongruent trial, focus on the task-relevant target information is increased and distracting information is inhibited. In two experiments, we investigated how reward modulates these phenomena. Specifically, performance-contingent reward – but not non-contingent reward – increased the usage of the distracting information in mostly congruent blocks or following congruent trials, while the adaptation to incongruency (i.e., mostly incongruent blocks or preceding incongruent trials) was the same in all conditions. Additional diffusion model analyses found that this effect of performance-contingent reward was captured by the drift rate parameter. These results suggest an increased focus on the target information by incongruent trials independent from reward, while the adaptation to (mostly) congruent trials characterized by increased usage of distracting information can be motivationally boosted. That is, performance-contingent reward increases the use of congruent distracting information beyond a mere relaxation of the increased target-focus following (mostly) congruent trials.

Different patterns of frontal and temporoparietal activities related to distinct inhibitory functions in adhd

IntroductionInhibition is a core component of executive functions but is not a unitary construct. Instead, different inhibitory processes have specific behavioral effects and neural bases. Three important inhibitory functions explored by the literature are 1) interference control (i.e., inhibition of distractive information); 2) inhibition of prepotent responses and 3) inhibition of ongoing responses. These functions were described in the self-regulation theory as the possible main impairment in attention-deficit hyperactivity disorder (ADHD) and since then they have shown an association with several psychiatric disorders.ObjectivesThe current study investigated the neural bases of interference control, inhibition of prepotent responses, and inhibition of ongoing responses as they were assessed by a Stroop-matching/stop-signal task developed by our group.MethodsThe Stroop-matching/stop-signal employs different conditions to create the demands for each inhibition which allows the assessment of these functions using a single protocol. Brain activations were acquired using fNRIS in a block-design method. The concentration of oxygenated hemoglobin (HbO). The first level analysis of HbO signals used a general linear model (GLM) to estimate individual brain activations. The second level analysis was performed using a linear mixed model to generate brain activations at the group level. Alpha level = 0.05 and the false discovery rate was applied when necessary. The sample was composed of 25 young adults (mean age = 21.8, SD = 4.39).Resultstask Interference control showed activation in the left and right temporoparietal junction (TPJ), the right dorsolateral prefrontal cortex (DPLFC), and inferior frontal gyrus (IFG); inhibition of prepotent responses showed increased activity in the right IFG and left DLPFC; the suppression of ongoing responses showed a deactivation of the IFG and DLPFC bilaterally.ConclusionsThese results indicate that the three inhibitory functions assessed present distinct brain patterns of function. The lateralization role was evident in DLPFC and IFG activities and recruitment of parietal areas seems to be limited to interference control in this protocol. Also, the stop-signal demand led to the deactivation of areas associated with the resolution of the primary Stroop-matching task. This study elucidates the role of brain mechanisms associated with specific inhibitory processes that are impaired in psychiatric disorders such as ADHD.Financial support: FAPESP [grant 2019/20757-5, 2019/21773-4, 2020/14800-2]; CAPES Proex [grant 0426/2021, 23038.006837/2021-73]; Mackpesquisa; CNPq [grant 307443/2019-1]Disclosure of InterestNone Declared

Feature relocation network for fine-grained image classification

In fine-grained image classification, there are only very subtle differences between classes. It is challenging to learn local discriminative features and remove distractive features in fine-grained image classification. Existing fine-grained image classification methods learn discriminative feature mainly via manual part annotation or attention mechanisms. However, due to the large intraclass variance and interclass similarity, the discriminative information and distractive information still are not distinguished effectively. To address this problem, we propose a feature relocation network (FRe-Net) which takes advantage of the different natures of features learned from different stages of the network. Our network consists of a distractive feature learning module and a relocated high-level feature learning module. In the distractive feature learning module, we propose to exploit the difference between low-level features and high-level features to design a distractive loss Ldistractive, which guides the attention to locate distractive regions more accurately. In the relocated high-level feature learning module, we enhance the representing capacity of the middle-level feature via the attention module and subtract the distractive feature learned from the distractive feature learning module in order to learn more local discriminative features. In end-to-end model training, the distractive feature learning module and the relocated high-level feature learning module are beneficial to each other via joint optimization. We conducted comprehensive experiments on three benchmark datasets widely used in fine-grained image classification. The experimental results show that FRe-Net achieves state-of-the-art performance, which validates the effectiveness of FRe-Net.

Systems factorial technology provides novel insights into the cognitive processing characteristics of open-skill athletes

Sport expertise has been shown to modulate the cognitive advantage in open-skill athletes, with evidence for a greater advantage for athletes practicing interceptive sports relative to strategic sports. However, this conclusion is solely based on central tendency measures such as accuracy or mean reaction time (RT), dismissing important information embedded in the intra-individual temporal dynamics of cognitive performance. This study aimed to better understand the cognitive advantage associated with open-skill sports, with a non-parametric approach assessing cognitive process at the level of RT distribution (i.e., systems factorial technology, SFT). Twenty-eight interceptive sport athletes, 27 strategic sport athletes, and 26 physically active non-athletes performed a go/nogo version of the redundant target task to assess their processing capacity of simultaneously monitoring multiple information channels. SFT was applied to assess resilience capacity, an estimate of workload capacity underlying inhibitory control. Our findings showed that interceptive sport athletes exhibited shorter mean RT relative to non-athletes selectively in the task condition involving distracting information, while strategic sport athletes showed greater resilience capacity over earlier responses relative to the other groups. These findings suggest that the two types of open-skill sports may be associated with different processing specificity, possibly reflecting the domain-specific rules and requirements.

Attentional modulation as a mechanism for enhanced facial emotion discrimination: The case of action video game players

Action video game players (AVGPs) outperform nonvideo game players (NVGPs) on a wide variety of attentional tasks, mediating benefits to perceptual and cognitive decision processes. A key issue in the literature is the extent to which such benefits transfer beyond cognition. Using steady-state visual evoked potentials (SSVEP) as a neural measure of attentional resource allocation, we investigated whether the attentional benefit of AVGPs generalizes to the processing of rapidly presented facial emotions. AVGPs (n = 36) and NVGPs (n = 32) performed a novel, attention-demanding emotion discrimination task, requiring the identification of a target emotion in one of two laterally presented streams of emotional faces. The emotional faces flickered at either 2.0 Hz or 2.5 Hz. AVGPs outperformed NVGPs at detecting the target emotions regardless of the type of emotion. Correspondingly, attentional modulation of the SSVEP at parieto-occipital recording sites was larger in AVGPs compared with NVGPs. This difference appeared to be driven by a larger response to attended information, as opposed to a reduced response to irrelevant distractor information. Exploratory analyses confirmed that this novel paradigm elicited the expected pattern of event-related potentials associated with target detection and error processing. These components did not, however, differ between groups. Overall, the results indicate enhanced discrimination of facial emotions in AVGPs arising from enhanced attentional processing of emotional information. This presents evidence for the attentional advantage of AVGPs to extend beyond perceptual and cognitive processes.

The role of visual association cortices during response selection processes in interference-modulated response stopping.

Response inhibition and the ability to navigate distracting information are both integral parts of cognitive control and are imperative to adaptive behavior in everyday life. Thus far, research has only inconclusively been able to draw inferences regarding the association between response stopping and the effects of interfering information. Using a novel combination of the Simon task and a stop signal task, the current study set out to investigate the behavioral as well as the neurophysiological underpinnings of the relationship between response stopping and interference processing. We tested n = 27 healthy individuals and combined temporal EEG signal decomposition with source localization methods to delineate the precise neurophysiological dynamics and functional neuroanatomical structures associated with conflict effects on response stopping. The results showed that stopping performance was compromised by conflicts. Importantly, these behavioral effects were reflected by specific aspects of information coded in the neurophysiological signal, indicating that conflict effects during response stopping are not mediated via purely perceptual processes. Rather, it is the processing of specific, stop-relevant stimulus features in the sensory regions during response selection, which underlies the emergence of conflict effects in response stopping. The findings connect research regarding response stopping with overarching theoretical frameworks of perception-action integration.

Predictability reduces event file retrieval

There is growing consensus that stimulus–response bindings (event files) play a central role in human action control. Here, we investigated how the integration and the retrieval of event files are affected by the predictability of stimulus components of event files. We used the distractor–response binding paradigm, in which nominally task-irrelevant distractors are repeated or alternated from a prime to a probe display. The typical outcome of these kinds of tasks is that the effects of distractor repetition and response repetition interact: Performance is worse if the distractor repeats but the response does not, or vice versa. This partial-repetition effect was reduced when the distractor was highly predictable (Experiment 1). Separate manipulations of distractor predictability in the prime and probe trial revealed that this pattern was only replicated if the probe distractors were predictable (Experiment 2b, 3), but not if prime distractors were predictable (Experiment 2a). This suggests that stimulus predictability does not affect the integration of distractor information into event files, but the retrieval of these files when one or more of the integrated features are repeated. We take our findings to support theoretical claims that integration and retrieval of event files might differ concerning their sensitivity to top-down factors.

Cognitive Science of PowerPoint Part II: The Power of Attention

The most common pedagogical visual tool used in engineering classrooms are slides, such as those generated by Google Slides, Keynote, Prezi or PowerPoint. Unfortunately, when viewed through the lens of current models describing human information processing, many slides are poorly designed. That is, they either contain too much, poorly organized, or distracting information. Given the complexity of engineering content, it is essential that slides be used to help the student focus on key elements to increase learning, rather than simply act as a data dump or cue card. The paper will first provide an overview of human attention processes and how these impact working memory and learning. Then, the paper will provide an overview of selected theories from cognitive psychology, including top-down vs. bottom-up processing, focused vs. divided attention, and salience models (e.g. perception, gaze, and motion). Finally, using an authentic example of an engineering classroom slide, this paper will demonstrate how the practical application of these cognitive theories of attention can increase focus on (and thus retention) of the relevant content. This paper aims to be a “why-to” as well as a “how-to” guide for improving visual aids, specifically slides, in the engineering classroom. Note, this paper builds on our previous paper that focused on the cognitive load with respect to slide design.

Different Algorithmic Models Underlie Virtue and Vice Attributions

One of the most pressing questions in social psychology is how people update character attributions about other people considering novel information. A possible way to tackle this question is to algorithmically model trait attribution updating and confront it to how people actually update character attributions. Here, we present, parameterize, and empirically test several Bayesian and averaging models of character-based moral judgment over multiple pieces of morally relevant or distractor information. Taken as a whole, results from two experiments suggest that virtue and vice attributions follow different algorithms. Depending on the structure of received information virtue and vice attributions can follow differently weighted Bayesian algorithms or average-based models. We discuss these results in light of both classic findings in moral psychology and cognitive sciences in general.

Influence of body mobility on attention networks in school-aged prematurely born children: A controlled trial.

School-aged prematurely born children (PC) have a higher risk of academic difficulties, which may be partly explained by attention difficulties. It has been suggested that children’s attentional performance might be influenced by their body posture and spontaneous body motion. The aim of this study (ClinicalTrials.gov – NCT 03125447) was to test the influence of three body mobility conditions on the three functions of attention (alertness, orienting, and executive control) among school-aged PC vs. term-born children (TC). Notably, 21 PC and 21 TC performed the Attention Network Test for Children in three body mobility conditions, namely, sitting and standing imposed fixed postures and a free-to-move condition. The children’s median reaction times were compared between trials (1) with and without alerting cues, (2) with valid and invalid orienting cues, and (3) with and without distracting information, to calculate the performance of alertness, orienting, and executive control, respectively. Results showed that with distracting information, PC exhibited significantly slower responses in the standing-still posture than in the sitting-still posture (1,077 ± 240 vs. 1,175 ± 273 ms, p < 0.05), but not TC. No difference was observed with the free-to-move condition. PC and TC did not significantly differ in alertness or orienting, regardless of body mobility condition. These data suggest that PC must use executive resources to stand still and maintain position, which impairs their performance during executive tasks. We speculate that these results may be related to less developed postural control and motor inhibition in PC.

Target-Distractor Aware Deep Tracking With Discriminative Enhancement Learning Loss

Numerous tracking approaches attempt to improve target representation through target-aware or distractor-aware. However, the unbalanced considerations of target or distractor information make it diffcult for these methods to benefit from the two aspects at the same time. In this paper, we propose a target-distractor aware model with discriminative enhancement learning loss to learn target representation, which can better distinguish the target in complex scenes. Firstly, to enlarge the gap between the target and distractor, we design a discriminative enhancement learning loss. By highlighting the hard negatives that are similar to the target and shrinking the easy negatives that are pure background, the features sensitive to the target or distractor representation can be more conveniently mined. On this basis, we further propose a target-distractor aware model. Unlike existing methods of preference target or distractor, we construct the target-specific feature space by activating the target-sensitive and the distractor-silence feature. Therefore, the appearance model can not only represent the target well but also suppress the background distractor. Finally, the target-distractor aware target representation model is integrated with a Siamese matching network for visual tracking for achieving robust and realtime visual tracking. Extensive experiments are performed on eight tracking benchmarks show that the proposed algorithm achieves favorable performance.

Harnessing the Visual Salience Effect With Augmented Reality to Enhance Relevant Information and to Impair Distracting Information

This study investigated several visualizations, including enhancing relevant information and impairing distracting information, that harnessed the visual salience effect with augmented reality (AR) to assist people in searching for targets. The experiment used a scenario of shopping for food products where participants searched for the target product wearing an AR head-mounted display that presented the visualizations. In addition, the field-dependent (FD) and field-independent (FI) cognitive styles of users were investigated. First, FI participants completed the product selection tasks more quickly than FD participants when using the visualizations of enhancing relevant information but not the visualizations of impairing distracting information. Second, the visualizations of impairing irrelevant information improved the search speed but not the accuracy of FD participants compared to the visualizations of enhancing relevant information. Third, participants perceived a higher clarity of the highlighted items when they were highlighted with a frame rather than an overlay.

Gaze Estimation via Modulation-Based Adaptive Network With Auxiliary Self-Learning

Given a face image, most of previous works in gaze estimation infer the gaze via a well-trained model with supervised training. However, the distribution of test data may be very different compared to that of training data since samples might be corrupted in real-world scenarios ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">e.g</i> ., taking a photo in strong light). This will lead to a gap between source domain ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i.e</i> ., training data) and target domain ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i.e</i> ., test data). In this paper, we first introduce self-supervised learning into our method for addressing challenging situations in gaze estimation. Moreover, existing appearance-based gaze estimation methods focus on directing towards the development of powerful regressors, which mainly utilize face and eye images simultaneously or face (eye) images only. However, the problem of inter cues between face and eye features has been largely overlooked. To this end, we propose a novel Modulation-based Adaptive Network (MANet) for gaze estimation, which uses high-level knowledge to filter the distractive information and bridges the intrinsic relationship between face and eye features. Further, we combine self-supervised learning and MANet to learn to adapt to challenging cases, such as abnormal lighting conditions and poor-quality images, by minimizing a self-supervised loss and a supervised loss jointly. The experimental results on several datasets demonstrate the effectiveness of our proposed approach with a real-time speed of 900 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">fps</i> on a PC with an NVIDIA Titan RTX GPU.

Nonconscious information can be identified as task-relevant but not prioritized in working memory.

Two critical features of working memory are the identification and appropriate use of task-relevant information while avoiding distraction. Here, in 3 experiments, we explored if these features can be achieved also for nonconscious stimuli. Participants performed a delayed match-to-sample task in which task relevance of 2 competing stimuli was indicated by a cue, and continuous flash suppression was used to manipulate the conscious/nonconscious visual experience. Experiment 1 revealed better-than-chance performance with nonconscious stimuli, demonstrating goal-directed use of nonconscious task-relevant information. Experiment 2 demonstrated that the cue that defined task relevance must be conscious to allow such goal-directed use. In Experiment 3, multi-voxel pattern analyses of brain activity revealed that only the target was prioritized and maintained during conscious trials. Conversely, during nonconscious trials, both target and distractor were maintained. However, decoding of task relevance during the probe/test phase demonstrated identification of both target and distractor information. These results show that identification of task-relevant information can operate also on nonconscious material. However, they do not support the prioritization of nonconscious task-relevant information, thus suggesting a mismatch in the attentional mechanisms involved during conscious and nonconscious working memory.

The Effect of Transcranial Direct Current Stimulation on Error Rates in the Distractor-Induced Deafness Paradigm.

To further understand how consciousness emerges, certain paradigms inducing distractor-induced perceptual impairments are promising. Neuro-computational models explain the inhibition of conscious perception of targets with suppression of distractor information when the target and distractor share the same features. Because these gating mechanisms are controlled by the prefrontal cortex, transcranial direct current stimulation of this specific region is expected to alter distractor-induced effects depending on the presence and number of distractors. To this end, participants were asked to perform an auditory variant of the distractor-induced blindness paradigm under frontal transcranial direct current stimulation (tDCS). Results show the expected distractor-induced deafness effects in a reduction of target detection depending on the number of distractors. While tDCS had no significant effects on target detection per se, error rates due to missed cues are increased under stimulation. Thus, while our variant led to successful replication of behavioral deafness effects, the results under tDCS stimulation indicate that the chosen paradigm may have difficulty too low to respond to stimulation. That the error rates nevertheless led to a tDCS effect may be due to the divided attention between the visual cue and the auditory target.

Ten simple rules to study distractor suppression.

Distractor suppression refers to the ability to filter out distracting and task-irrelevant information. Distractor suppression is essential for survival and considered a key aspect of selective attention. Despite the recent and rapidly evolving literature on distractor suppression, we still know little about how the brain suppresses distracting information. What limits progress is that we lack mutually agreed upon principles of how to study the neural basis of distractor suppression and its manifestation in behavior. Here, we offer ten simple rules that we believe are fundamental when investigating distractor suppression. We provide guidelines on how to design conclusive experiments on distractor suppression (Rules 1–3), discuss different types of distractor suppression that need to be distinguished (Rules 4–6), and provide an overview of models of distractor suppression and considerations of how to evaluate distractor suppression statistically (Rules 7–10). Together, these rules provide a concise and comprehensive synopsis of promising advances in the field of distractor suppression. Following these rules will propel research on distractor suppression in important ways, not only by highlighting prominent issues to both new and more advanced researchers in the field, but also by facilitating communication between sub-disciplines.

Assessing the validity and reliability and establishing norm values for a selective attention test in a Turkish sample of 6–14-year-old participants

Selective attention is a cognitive skill that allows an individual to focus on a particular input for further processing while simultaneously suppressing irrelevant or distracting information. In this study, we have developed a new test to assess selective attention—the Cognitive Skills Assessment of Minerva (CSM) Selective Attention Test—and have established selective attention norm values for Turkish individuals aged 6–14 years. This new online selective attention assessment test includes the flanker task. We employed split-half reliability to prove the reliability of the test. Based on the analysis, there was no significant difference between the groups, indicating that the test is reliable. We used criterion-related validity (congruent validity) analysis to evaluate the CSM Selective Attention Test. The correlation between the results of the new test and the Eriksen Flanker Test showed that the new test is valid. Finally, we conducted a comprehensive norm study with 2,297 participants aged 6–14 years from 12 different regions and schools in Turkey. According to the analysis of variance, age but not gender is a distinguishing factor for selective attention. We subsequently established norm values for each age group. The findings also show that the CSM Selective Attention Test provides reliable results across all samples and populations aged 6–14.

The impact of social media on executive functions: Beneficial or harmful?

<p id="p00005">The effect of social media on executive functions remain controversial. Some studies have shown that the use of social media promotes an individual’s executive functions, and some studies have found that social media use has a negative impact on executive functions. Recent studies have shown that, there may be an inverted U-shaped relationship between social media use and individual's executive function, and that social media use does not necessarily impair or promote executive function, but there is an optimal tipping point between the two. Moderate-intensity use of social media is the best level to promote executive functions. This is related to the moderating role played by the intensity of use. The paper first introduces the behavioral evidence that the effect of social media on executive functions, including three parts: positive effects, negative effects, and inverted U-shaped relationships. Secondly, it analyzes the moderating effect of intensity of use in the inverted U-shaped relationship between social media use and executive functions, and attempt to reveal the debate over the pros and cons of social media use on executive functions. Moderate-intensity use of social media will produce a social media flow experience, allowing individuals to filter out various distracting information when faced with various complex information stimuli in social media, focusing on useful information, and target information is constantly being affected. With storage and update, the individual's executive functions (especially the shifting function) get long-term and repeated exercise under such requirements, and finally improve. In addition, the flow experience generated by the use of social media can be used as an intrinsic motivation to increase the interaction of social networks to make positive changes in interpersonal relationships. This provides individuals with continuous social rewards and emotional support. To a certain extent, it buffers the negative impact of excessive use of social media on cognitive function, and slows down the decline of age-related executive functions. However, high-intensity use of social media causes individuals to worry about their performance in the task, which tends to maintain a wider range of attention and is more susceptible to interference from irrelevant information, while low-intensity use of social media causes individuals to be in a state of lack of proactiveness, the psychological effort process of information processing is reduced or even disappeared, which has a negative impact on executive functions. <p id="p00006">Future research in this area should examine the dose-effect of social media use affecting executive functions. The positive impact of social media use on the executive function may require a relatively long and continuous process of using social media. Whether an optimal social media can be determined the level of media usage maximizes individual's executive functions? In addition, previous research mainly focuses on the impact of social media usage frequency on individual's executive functions in daily life, but lacks a single sub-component of the type of social media usage on the executive function investigation of development and changes. In the future, the relationship between different types of social media usage and sub-components of executive function should be further clarified. Finally, the lifting effect of social media may be more significant in groups whose brain structure is in a period of change. Most previous studies only show that the use of social media can change individual's neural pathways or brain response patterns (and little is known about whether changes in the physiological structure of executive function have an impact on the cognitive level of social media users. Future research should combine behavioral and cognitive neurological methods to examine the brain regions of social media users with different cognitive levels in performing specific tasks. The difference in activation makes the neural mechanism of social media use affecting executive function more precise and comprehensive.

Distractor filtering and its electrophysiological correlates in schizophrenia

ObjectivePatients with schizophrenia are characterized by compromised working memory (WM) performance and increased distractibility. Theta synchronization (especially over the frontal midline areas) is related to cognitive control and executive processes during WM encoding and retention. Alpha event-related desynchronization (ERD) is associated with information processing and attention. MethodsParticipants (35 patients and 39 matched controls) performed a modified Sternberg WM task, containing salient and non-salient distractor items in the retention period. A high-density 128 channel EEG was recorded during the task. Theta (4–7 Hz) and fast alpha (10–13 Hz) event-related spectral perturbation (ERSP) were analyzed during the retention and encoding period. ResultsPatients with schizophrenia showed worse WM performance and increased attentional distractibility in terms of lower hit rates and increased distractor-related commission errors compared to healthy controls. Theta synchronization was modulated by condition (learning vs. distractor) in both groups but it was modulated by salience only in controls. Furthermore, salience of distractors modulated less the fast alpha ERD in patients. ConclusionsOur results suggest that patients with schizophrenia process salient and non-salient distracting information less efficiently and show weaker cognitive control compared to controls. SignificanceThese differences may partly account for diminished WM performance and increased distractibility in schizophrenia.

A Representational Similarity Analysis of Cognitive Control during Color-Word Stroop.

Progress in understanding the neural bases of cognitive control has been supported by the paradigmatic color-word Stroop task, in which a target response (color name) must be selected over a more automatic, yet potentially incongruent, distractor response (word). For this paradigm, models have postulated complementary coding schemes: dorsomedial frontal cortex (DMFC) is proposed to evaluate the demand for control via incongruency-related coding, whereas dorsolateral PFC (DLPFC) is proposed to implement control via goal and target-related coding. Yet, mapping these theorized schemes to measured neural activity within this task has been challenging. Here, we tested for these coding schemes relatively directly, by decomposing an event-related color-word Stroop task via representational similarity analysis. Three neural coding models were fit to the similarity structure of multivoxel patterns of human fMRI activity, acquired from 65 healthy, young-adult males and females. Incongruency coding was predominant in DMFC, whereas both target and incongruency coding were present with indistinguishable strength in DLPFC. In contrast, distractor information was strongly encoded within early visual cortex. Further, these coding schemes were differentially related to behavior: individuals with stronger DLPFC (and lateral posterior parietal cortex) target coding, but weaker DMFC incongruency coding, exhibited less behavioral Stroop interference. These results highlight the utility of the representational similarity analysis framework for investigating neural mechanisms of cognitive control and point to several promising directions to extend the Stroop paradigm.SIGNIFICANCE STATEMENT How the human brain enables cognitive control - the ability to override behavioral habits to pursue internal goals - has been a major focus of neuroscience research. This ability has been frequently investigated by using the Stroop color-word naming task. With the Stroop as a test-bed, many theories have proposed specific neuroanatomical dissociations, in which medial and lateral frontal brain regions underlie cognitive control by encoding distinct types of information. Yet providing a direct confirmation of these claims has been challenging. Here, we demonstrate that representational similarity analysis, which estimates and models the similarity structure of brain activity patterns, can successfully establish the hypothesized functional dissociations within the Stroop task. Representational similarity analysis may provide a useful approach for investigating cognitive control mechanisms.