Dealing with large-scale societal problems, such as water scarcity, often requires changes in behavior that consumers resist. Some sustainable, cost-effective, and safe solutions are even rejected because of a psychological response of disgust, such as food produced with recycled water to supplement traditional water supplies and crickets as a replacement for water-intensive proteins like beef. Adding the “right” positive elements to a stigmatized item has been shown to mitigate disgust. However, this can be difficult and expensive to do as it requires the stigmatized object to go through a process that restores its “natural” and “pure” state. This study combines fMRI and a choice experiment to test if a behavioral intervention that emphasizes the existing, positive dimensions of a stigmatized object can lessen the weight of disgust in the decision process, mitigating its effects. Results suggest that it can. A video that promotes recycled water was shown to ameliorate consumers’ aversion to food produced with it. However, consumers’ greater acceptance of recycled irrigation water came not from overcoming whatever psychological reactions of disgust they experienced but from reweighting its importance in their decisions. This novel finding will lower the burden on farmers using recycled irrigation water, and potentially producers of other stigmatized foods.
In collaboration with Dr. Sean F. Ellis
Statistical Learning refers to the innate human ability to learn statistical regularities and discern patterns from the information-rich environment. While the relationship between statistical learning and reading abilities has been widely studied, the neural processes underlying both the familiarization and testing of auditory and visual statistical learning, as well as their connection to reading, remain less understood. In our large-scale fMRI study, we investigated the neural mechanisms involved in both the familiarization and retrieval phases of statistical learning across visual and auditory modalities. We had several behavioral measures assessing fluency in reading and speech via offline tasks outside the MRI scanner. We recently finished collecting data and also completed a few studies on anatomical/volumetric correlates, white matter microstructural correlates with DTI, and functional brain activation.
Supervisor: Dr. Jaqueline Cummine
Dishonesty in social interactions is a phenomenon of growing interest to social neuroscientists in understanding the neural and psychological mechanisms that underlie deceitful behavior. We know from previous studies that neural markers of trait anxiety predict reduced behavioral dishonesty, however it remains unknown how state anxiety, i.e., acute feelings of anxiousness, affects this relationship. Our study investigated the relationship between trait and state anxiety and dishonesty using the Broken Promise paradigm, i.e., modified trust game with an antecedent promise stage. Participants first completed a trait anxiety measure (BIS Scale) before being randomly assigned to control or state anxiety manipulation conditions, and then engaged in an auditory oddball passive listening task while wearing EEG headest to measure P300 amplitudes. They then participated in the Broken Promise game, designed to assess dishonesty in a direct monetary exchange interaction between two players with real life monetary consequences. We found that high trait anxiety was associated with lower dishonesty, while low trait anxiety individuals showed reduced dishonesty when experiencing state anxiety. Mean P300 amplitudes difference moderated this relationship, meaning low trait anxiety individuals in state anxiety condition with high mean P300 amplitude difference, i.e., evidence of increased state anxiety, show significantly higher decrease in dishonesty. The second part of results including mean P300 differences further strengthen and validate the relationship found in the first part of results, thus indicating an association of state anxiety in the relationship between trait anxiety and behavioral dishonesty.
Supervisor: Dr. Kyle Nash
The brainstem, despite its vital role in the nervous system, remains understudied compared to the cerebral cortex and cerebellum, largely due to its structural complexity and high anatomical variability. Currently, no fully standardized protocol exists for the complete anatomical segmentation of the brainstem. Our project aims to address this gap by developing a segmentation protocol specifically targeting the cranial nerve nuclei for CN-XII (hypoglossal nerve), CN-V (trigeminal nerve), and CN-VII (facial nerve) using T1-weighted MR images from 220 human subjects. While still in the early stages, this initiative seeks to provide more precise neuroanatomical insights into this critical region of the human nervous system enabling further studies concerned with swallowing, speech, and more.
Supervisors: Dr. Jacqueline Cummine and Dr. Daniel Aalto
Confirmation bias refers to the cognitive tendency to seek, interpret, and favor information that aligns with one's pre-existing beliefs, while giving less consideration to evidence that challenges those beliefs. While confirmation bias has been widely studied in various contexts, little is known about how increased attentiveness might influence biased information interpretation. To address this gap, we investigated the impact of attentiveness on confirmation bias, defined here as the tendency to evaluate belief-confirming arguments as more convincing than belief-disconfirming ones. We tested in an experiment whether focusing participants' attention through comprehension testing would reduce their bias when evaluating economic arguments for and against raising the minimum wage. Our findings showed that increased attentiveness marginally reduced the convincingness of belief-confirming arguments, while having no effect on disconfirming arguments, suggesting a modest decrease in overall confirmation bias.
Supervisors: Dr. Kyle Nash