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Dive into the research topics where Daniel C. Krawczyk is active.

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Featured researches published by Daniel C. Krawczyk.


Neuroscience & Biobehavioral Reviews | 2002

Contributions of the prefrontal cortex to the neural basis of human decision making

Daniel C. Krawczyk

The neural basis of decision making has been an elusive concept largely due to the many subprocesses associated with it. Recent efforts involving neuroimaging, neuropsychological studies, and animal work indicate that the prefrontal cortex plays a central role in several of these subprocesses. The frontal lobes are involved in tasks ranging from making binary choices to making multi-attribute decisions that require explicit deliberation and integration of diverse sources of information. In categorizing different aspects of decision making, a division of the prefrontal cortex into three primary regions is proposed. (1) The orbitofrontal and ventromedial areas are most relevant to deciding based on reward values and contribute affective information regarding decision attributes and options. (2) Dorsolateral prefrontal cortex is critical in making decisions that call for the consideration of multiple sources of information, and may recruit separable areas when making well defined versus poorly defined decisions. (3) The anterior and ventral cingulate cortex appear especially relevant in sorting among conflicting options, as well as signaling outcome-relevant information. This topic is broadly relevant to cognitive neuroscience as a discipline, as it generally comprises several aspects of cognition and may involve numerous brain regions depending on the situation. The review concludes with a summary of how these regions may interact in deciding and possible future research directions for the field.


Psychological Science | 2004

Construction of Preferences by Constraint Satisfaction

Dan Simon; Daniel C. Krawczyk; Keith J. Holyoak

Participants were given a choice between two multi-attribute alternatives (job offers). Preferences for the attributes were measured before, during, and after the choices were made. We found that over the course of decision making, the preferences shifted to cohere with the choice: The attributes of the option that was eventually chosen came to be rated more favorably than they had been rated initially, while the attributes of the rejected option received lower preference ratings than before. These coherence shifts were triggered by a single attribute that decisively favored one option (Experiment 1), and occurred spontaneously in the absence of a decisive attribute (Experiment 2). The coherence shift preceded commitment to choice. These findings favor constraint-satisfaction models of decision making.


Journal of Cognitive Neuroscience | 2004

A Neurocomputational Model of Analogical Reasoning and its Breakdown in Frontotemporal Lobar Degeneration

Robert G. Morrison; Daniel C. Krawczyk; Keith J. Holyoak; John E. Hummel; Tiffany W. Chow; Bruce L. Miller; Barbara J. Knowlton

Analogy is important for learning and discovery and is considered a core component of intelligence. We present a computational account of analogical reasoning that is compatible with data we have collected from patients with cortical degeneration of either their frontal or anterior temporal cortices due to frontotemporal lobar degeneration (FTLD). These two patient groups showed different deficits in picture and verbal analogies: frontal lobe FTLD patients tended to make errors due to impairments in working memory and inhibitory abilities, whereas temporal lobe FTLD patients tended to make errors due to semantic memory loss. Using the Learning and Inference with Schemas and Analogies model, we provide a specific account of how such deficits may arise within neural networks supporting analogical problem solving.


Neuropsychologia | 2008

Distraction during relational reasoning: The role of prefrontal cortex in interference control

Daniel C. Krawczyk; Robert G. Morrison; Indre V. Viskontas; Keith J. Holyoak; Tiffany W. Chow; Mario F. Mendez; Bruce L. Miller; Barbara J. Knowlton

We compared the reasoning performance of patients with frontal-variant frontotemporal lobar degeneration (FTLD) with that of patients with temporal-variant FTLD and healthy controls. In a picture analogy task with a multiple-choice answer format, frontal-variant FTLD patients performed less accurately than temporal-variant FTLD patients, who in turn performed worse than healthy controls, when semantic and perceptual distractors were present among the answer choices. When the distractor answer choices were eliminated, frontal-variant patients showed relatively greater improvement in performance. Similar patient groups were tested with a relational-pattern reasoning task that included manipulations of one or two relations and both perceptual and semantic extraneous information. Frontal-variant patients showed performance deficits on all tasks relative to the other subject groups, especially when distracted. These results demonstrate that intact prefrontal cortex (PFC) is necessary for controlling interference from perceptual and semantic distractors in order to reason from relational structure.


Brain Research | 2012

The cognition and neuroscience of relational reasoning

Daniel C. Krawczyk

There has been a growing interest in understanding the complex cognitive processes that give rise to human reasoning. This review focuses on the cognitive and neural characteristics of relational reasoning and analogy performance. Initially relational reasoning studies that have investigated the neural basis of abstract reasoning with an emphasis on the prefrontal cortex are described. Next studies of analogical reasoning are reviewed with insights from neuropsychological and neuroimaging studies. Additionally, studies of cognitive components in analogical reasoning are described. This review draws together insights from numerous studies and concludes that prefrontal areas exhibit domain independence in relational reasoning, while posterior areas within the temporal, parietal, and occipital lobes show evidence of domain dependence in reasoning. Lastly, future directions in the study of relational reasoning are discussed.


Brain and Language | 2009

Differences in task demands influence the hemispheric lateralization and neural correlates of metaphor

Fanpei Gloria Yang; Jennifer Edens; Claire Simpson; Daniel C. Krawczyk

This study investigated metaphor comprehension in the broader context of task-difference effects and manipulation of processing difficulty. We predicted that right hemisphere recruitment would show greater specificity to processing difficulty rather than metaphor comprehension. Previous metaphor processing studies have established that the left inferior frontal gyrus strongly correlates with metaphor comprehension but there has been controversy about whether right hemisphere (RH) involvement is specific for metaphor comprehension. Functional MRI data were recorded from healthy subjects who read novel metaphors, conventional metaphors, definition-like sentences, or literal sentences. We investigated metaphor processing in contexts where semantic judgment or imagery modulates linguistic judgment. Our findings support the position that the type of task rather than figurative language processing per se modulates the left inferior gyrus (LIFG). RH involvement was more influenced by processing difficulty and less by the novelty or figurativity of linguistic expressions. Our results suggest that figurative language processing depends upon the effects of task-type and processing difficulty on imaging results.


Cortex | 2011

A hierarchy for relational reasoning in the prefrontal cortex

Daniel C. Krawczyk; M. Michelle McClelland; Colin M. Donovan

The human brain possesses a unique capacity to reason about abstract relationships among items in our environment. The neural organization of reasoning abilities has remained elusive. Two approaches toward investigating human reasoning have involved studying visuo-spatial reasoning abilities and studying analogical reasoning. These approaches have both revealed anterior prefrontal cortex (PFC) involvement, but no prior studies have jointly investigated these two forms of reasoning to understand any potential convergence of activation within the PFC. Using fMRI, we tested the extent to which these two forms of reasoning (visuo-spatial and analogical) overlap in PFC activation. We conducted a visuo-spatial reasoning task that required processing multiple changes across three abstract pictures. This task activated a progressively anterior series of PFC regions when multiple relations had to be integrated. We also conducted a four-term analogy task in a stage-wise manner and compared results from this task to semantic and perceptual control conditions that did not require integrating relations across the problems. We found greater activation for analogical reasoning in the series of PFC regions that were sequentially involved in the visuo-spatial reasoning task. These findings indicate that stages of neural processing overlap for different domains within human reasoning. The pattern of differences across the analogy task suggests a hierarchical organization for relational reasoning across domains in which posterior frontal cortex is active across concrete reasoning tasks, while progressively more anterior regions are recruited to process increasingly abstract representations in reasoning.


Computers in Human Behavior | 2016

Virtual Reality Social Cognition Training for children with high functioning autism

Nyaz Didehbani; Tandra T. Allen; Michelle R. Kandalaft; Daniel C. Krawczyk; Sandra B. Chapman

Virtual reality appears to be a promising and motivating platform to safely practice and rehearse social skills for children with Autism Spectrum Disorders (ASD). However, the literature to date is subject to limitations in elucidating the effectiveness of these virtual reality interventions. This study investigated the impact of a Virtual Reality Social Cognition Training to enhance social skills in children with ASD. Thirty children between the ages of 7-16 diagnosed with ASD completed 10, 1-h sessions across 5 weeks. Three primary domains were measured pre-post: emotion recognition, social attribution, attention and executive function. Results revealed improvements on measures of emotion recognition, social attribution, and executive function of analogical reasoning. These preliminary findings suggest that the use of a virtual reality platform offers an effective treatment option for improving social impairments commonly found in ASD. The VR-SCT provides an interactive and stimulating approach for children with ASD.The VR-SCT can improve social cognitive skills in children with ASD.Training improved emotion recognition, social attribution, and executive function.The training is a safe and socially non-threatening platform.


Journal of Experimental Psychology: General | 2012

Chess Masters Show a Hallmark of Face Processing With Chess

Amy L. Boggan; James C. Bartlett; Daniel C. Krawczyk

Face processing has several distinctive hallmarks that researchers have attributed either to face-specific mechanisms or to extensive experience distinguishing faces. Here, we examined the face-processing hallmark of selective attention failure--as indexed by the congruency effect in the composite paradigm--in a domain of extreme expertise: chess. Among 27 experts, we found that the congruency effect was equally strong with chessboards and faces. Further, comparing these experts with recreational players and novices, we observed a trade-off: Chess expertise was positively related to the congruency effect with chess yet negatively related to the congruency effect with faces. These and other findings reveal a case of expertise-dependent, facelike processing of objects of expertise and suggest that face and expert-chess recognition share common processes.


Frontiers in Human Neuroscience | 2010

Deficits in analogical reasoning in adolescents with traumatic brain injury.

Daniel C. Krawczyk; Gerri Hanten; Elisabeth A. Wilde; Xiansheng Li; Kathleen P. Schnelle; Tricia L. Merkley; Ana C. Vasquez; Lori G. Cook; M. Michelle McClelland; Sandra B. Chapman; Harvey S. Levin

Individuals with traumatic brain injury (TBI) exhibit deficits in executive control, which may impact their reasoning abilities. Analogical reasoning requires working memory and inhibitory abilities. In this study, we tested adolescents with moderate to severe TBI and typically developing (TD) controls on a set of picture analogy problems. Three factors were varied: complexity (number of relations in the problems), distraction (distractor item present or absent), and animacy (living or non-living items in the problems). We found that TD adolescents performed significantly better overall than TBI adolescents. There was also an age effect present in the TBI group where older participants performed better than younger ones. This age effect was not observed in the TD group. Performance was affected by complexity and distraction. Further, TBI participants exhibited lower performance with distractors present than TD participants. The reasoning deficits exhibited by the TBI participants were correlated with measures of executive function that required working memory updating, attention, and attentional screening. Using MRI-derived measures of cortical thickness, correlations were carried out between task accuracy and cortical thickness. The TD adolescents showed negative correlations between thickness and task accuracy in frontal and temporal regions consistent with cortical maturation in these regions. This study demonstrates that adolescent TBI results in impairments in analogical reasoning ability. Further, TBI youth have difficulty effectively screening out distraction, which may lead to failures in comprehension of the relations among items in visual scenes. Lastly, TBI youth fail to show robust cortical–behavior correlations as observed in TD individuals.

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Sandra B. Chapman

University of Texas at Dallas

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Kihwan Han

University of Texas at Dallas

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David Martinez

University of Texas at Dallas

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James C. Bartlett

University of Texas at Dallas

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Michelle R. Kandalaft

University of Texas at Dallas

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Nyaz Didehbani

University of Texas at Dallas

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Tandra T. Allen

University of Texas at Dallas

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Barry N. Rodgers

University of Texas at Dallas

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