Living environments are seldom, if ever, devoid of all background auditory stimuli. However, the relationship between particular structural components of acoustic backgrounds and cognitive task performance remains unclear. Two experiments were completed to examine the influence of sound on a visual selective attention task. Participants performed the Stroop task (Stroop, 1935) while silence or background acoustic patterns of various complexities were presented over headphones. No effect of background sound on performance was found. A post-hoc analysis indicated that in comparison with participants who do not regularly listen to music while studying, participants who regularly listen to music while studying performed better on the Stroop task when a structured auditory pattern that included variation in both frequency and time interval was presented in the background. These results indicate that distinct structural components of background auditory sequences may interact with individual characteristics to influence cognitive performance on a task involving selective attention.

Living environments are seldom, if ever, devoid of all background auditory stimuli. However, the relationship between particular structural components of acoustic backgrounds and cognitive task performance remains unclear. Two experiments were completed to examine the influence of sound on a visual selective attention task. Participants performed the Stroop task (Stroop, 1935) while silence or background acoustic patterns of various complexities were presented over headphones. No effect of background sound on performance was found. A post-hoc analysis indicated that in comparison with participants who do not regularly listen to music while studying, participants who regularly listen to music while studying performed better on the Stroop task when a structured auditory pattern that included variation in both frequency and time interval was presented in the background. These results indicate that distinct structural components of background auditory sequences may interact with individual characteristics to influence cognitive performance on a task involving selective attention.

The smartphone has quickly become the most used device to access the internet. Academic and public concern has been raised if overuse of smartphone technology can have detrimental effects on brain and behavior. Preliminary results suggest that excessive smartphone usage may be linked to impaired inhibitory control. The present study investigates whether such a relationship is present in a sample of healthy individuals with varying degrees of usage. To investigate the proposed relationship, the Stroop color and word task and the stop-signal task was utilized to measure inhibitory control, while screen time was utilized to measure duration of smartphone usage. A Pearson‘s correlation analysis and an independent t-test/Mann Whitney-U test analyzed the results, which did not yield statistical significance.

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The purpose of this research was two-fold: (1) further validate the Virtual Reality Stroop Task HMMWV [VRST; Stroop stimuli embedded within a virtual high mobility multipurpose wheeled vehicle] via a comparison of the 3-dimensional VRST factor structure to that of a 2-dimensional computerized version of the Stroop task; and (2) model the performance of machine learning [ML] classifiers and hyper-parameters for an adaptive version of the VRST. Both the 3-D VRST and 2-D computerized Stroop tasks produced two-factor solutions: an accuracy factor and a reaction time factor. The factors had low correlations suggesting participants may be focusing on either responding to stimuli accurately or swiftly. In future studies researchers may want to consider throughput, a measure of correct responses per unit of time. The assessment of naive Bayes (NB), k-nearest neighbors (kNN), and support vector machines (SVM) machine learning classifiers found that SVM classifiers tended to have the highest accuracies and greatest areas under the curve when classifying users as high or low performers. NB also performed well but kNN algorithms did not. As such, SVM and NB may be the best candidates for creation of an adaptive version of the VRST.

Posttraumatic Stress Disorder (PTSD) is marked by avoidance, arousal, re-experiencing, and negative mood and cognition. To date, these symptoms are assessed using self-report measures (e.g., the PCL-5) and clinician administered assessments (e.g., the CAPS-5). While these are the present gold-standard assessments for PTSD, they still are prone to bias on behalf of both the administrator and the patient. Presently, there is evidence that individuals with PTSD perform differently than individuals without PTSD on certain cognitive tasks that measure attention bias and avoidance behaviors. As such, creating a battery of these tasks may be a viable route for objectively measuring PTSD. In an effort to provide preliminary evidence for such a battery, we used three cognitive assessments [the Emotional Stroop Task (EST), the Visual Search Task (VST), and the Approach Avoidance Task (AAT)] to assess cognitive performance in veterans with PTSD, and veterans and civilians without PTSD. We hypothesized that veterans with PTSD would perform worse than the other groups (as measured by reaction times and accuracy scores) following the presentation of combat-related stimuli compared to negative and positive stimuli. The results indicated that veterans with PTSD were generally slower across all conditions in the EST, had lower accuracy scores on the VST, and were slower in the combat condition compared to the other control groups in the AAT. This study provides preliminary support for the hypothesis that a battery of cognitive tasks may be an effective tool for objectively identifying PTSD. Furthermore, we discuss important methodological ways in which future studies could improve the sensitivity of these tasks.

<p>Researchers have recently combined clinical and cognitive areas of research in order to investigate the role of cognitive factors in explaining how emotional disorders are developed and maintained. It is believed that biased cognitive processing of emotionally relevant information can greatly affect emotional responses and behaviour where insights into such cognitive processes can have invaluable clinical implications.</p><p>The present thesis investigates the role of cognitive biases for information related to food and body appearance in individuals with eating disorders (ED) and those with non-clinically eating disorder-related concerns (NED). Are ED characterised by cognitive biases toward such information related to their specific concerns? Are such cognitive biases specific to clinical ED or present also in NED samples? Are cognitive biases operating at both conscious and unconscious levels of cognitive processing?</p><p>The tasks used to pursue these questions were: the emotional Stroop task, an Internet version of the emotional Stroop, Jacoby’s white noise paradigm and a recognition task. The influence of priming on the emotional Stroop task was also investigated in order to test whether the use of this task could be extended to more complex investigations than selective attention.</p><p>Results provide support for that cognitive processing of information related to eating and body appearance is biased in individuals with ED. It is, however, unclear whether such biased processing is specific to clinical ED. Findings further suggest that cognitive biases occur primarily at unconscious levels of cognitive processing. Support was also obtained for that the emotional Stroop task is sensitive to priming where initial body perception may be one factor influencing cognitive responses toward negative self referent words following exposure to thin ideal images. Results further suggest that the emotional Stroop task successfully can be administered via the Internet where manipulating task delivery and response mode may increase the sensitivity of this task. Some of the advantages of administering the emotional Stroop task via Internet over traditional methods are access to more heterogeneous samples, more ecologically valid situations, reduced costs and minimisation of demand characteristics.</p>

Researchers have recently combined clinical and cognitive areas of research in order to investigate the role of cognitive factors in explaining how emotional disorders are developed and maintained. It is believed that biased cognitive processing of emotionally relevant information can greatly affect emotional responses and behaviour where insights into such cognitive processes can have invaluable clinical implications. The present thesis investigates the role of cognitive biases for information related to food and body appearance in individuals with eating disorders (ED) and those with non-clinically eating disorder-related concerns (NED). Are ED characterised by cognitive biases toward such information related to their specific concerns? Are such cognitive biases specific to clinical ED or present also in NED samples? Are cognitive biases operating at both conscious and unconscious levels of cognitive processing? The tasks used to pursue these questions were: the emotional Stroop task, an Internet version of the emotional Stroop, Jacoby’s white noise paradigm and a recognition task. The influence of priming on the emotional Stroop task was also investigated in order to test whether the use of this task could be extended to more complex investigations than selective attention. Results provide support for that cognitive processing of information related to eating and body appearance is biased in individuals with ED. It is, however, unclear whether such biased processing is specific to clinical ED. Findings further suggest that cognitive biases occur primarily at unconscious levels of cognitive processing. Support was also obtained for that the emotional Stroop task is sensitive to priming where initial body perception may be one factor influencing cognitive responses toward negative self referent words following exposure to thin ideal images. Results further suggest that the emotional Stroop task successfully can be administered via the Internet where manipulating task delivery and response mode may increase the sensitivity of this task. Some of the advantages of administering the emotional Stroop task via Internet over traditional methods are access to more heterogeneous samples, more ecologically valid situations, reduced costs and minimisation of demand characteristics.

Conflict resolution is essential for human cognitive system which renders adaptability to the environment, providing humans to fulfill daily activities. The main aim of this thesis is to create a task where the conflict activates emotional networks exclusively, while investigating how the cognitive and emotional conflicts are monitored and then resolved in the brain. After creating the appropriate material composed of controlled words in terms of emotional dimensions and concreteness values, a new Word-face Stroop Task is designed using Turkish words. Firstly subjects participated in a classical Stroop task to measure cognitive conflict and then in the Word-face Stroop task, the conflict between emotional words and emotional faces is investigated. The same Stroop tasks are then administered to depression patients. The results of the classical Stroop replicated the previous findings: (1) Healthy population was slower in responding to incongruent cases than congruent cases (2) Depressed patients were significantly slower than healthy population. The Word-face Stroop, conducted on healthy population also replicated the earlier findings: (1) People were slower in reacting to incongruent stimuli than congruent stimuli (2) People reacted faster to positive words than negative ones. Same Stroop tasks conducted on depressed patients however revealed interesting results, novel to the literature: (1) Congruency scores were significantly different when healthy population and Depressive Disorder patients with Hamilton scores higher than 20 were compared (2) Patients with Hamilton scores higher than 20 and lower than 20 significantly differed in congruency scores (3) Patients showed a tendency to react faster to incongruent stimuli rather than congruent stimuli, contrary to normal population (4) Normal population showed greater congruency effect in positively valenced abstract words, whereas depression patients showed greater congruency effect in negatively valenced concrete words.

Currently, neuropsychologists rely on assessment instruments rooted in century old theory and technology to make evaluations of military personnel’s readiness to return-to-duty or return to their community. The present study sought to explore an alternative by evaluating the validity of a neuropsychological assessment presented within a virtual reality platform. The integration of a neuropsychological assessment into a cognitively and emotionally demanding virtual environment – reminiscent of a combat experience in Iraq – offers a more ecologically valid manner in which to evaluate the cognitive skills required in theater. U.S. military veterans’ (N = 50) performance on the Virtual Reality Stroop Task (VRST) was compared with performance on a paper-and-pencil, a computer adapted version of the Stroop task, and the subtests included in the Automated Neuropsychological Assessment Metrics-4 (ANAM4) TBI-MIL test battery. Results supported the validity of the VRST, indicating it demonstrates the typical Stroop effect pattern. The emotional salience of the VRST resulted in slowed reaction time compared to the ANAM Stroop. Further, the complex interference condition of the VRST offers opportunities for evaluation of exogenous and endogenous attentional processing. In the evaluation of threat, participants were noted to perform more accurately and more quickly in low threat versus high threat zones. Ancillary inquiries found no clinically meaningful findings regarding the role of deployment or post-concussive symptoms, and mixed findings regarding the effect of posttraumatic stress symptoms on neuropsychological performance among the three tested modalities.