2016 — 2018 |
Reavis, Eric Andrew |
F32Activity Code Description: To provide postdoctoral research training to individuals to broaden their scientific background and extend their potential for research in specified health-related areas. |
Perceptual Learning in Schizophrenia @ University of California Los Angeles
? DESCRIPTION (provided by applicant): Patients with schizophrenia tend to have deficits in a range of learning and memory processes, as well as specific deficits in visual perception. All of these deficits are associated with poor functional outcomes, and current treatments do little to address them. One type of learning that might be important for outcomes, called perceptual learning, is potentially related to both types of deficits but has hardly been studied in schizophrenia. Perceptual learning refers to long-lasting changes in the way that particular sensory stimuli are perceived after they are encountered repeatedly, which are related to changes in the way those stimuli are processed in the brain. Perceptual learning deficits likely exist in schizophrenia, like other types of learning deficits and perceptual deficits, but this hypothesis has not yet been adequately tested. This proposal will evaluate perceptual learning in schizophrenia using behavioral and neural techniques adapted from cognitive neuroscience and vision research. Participants with schizophrenia and healthy controls will perform a perceptual learning task over the course of several days. At the beginning and end of the learning, we will measure the amount of brain activity evoked by stimuli encountered in the training task using electroencephalography (EEG). The first objective of the research will be to determine whether patients show less perceptual learning than controls. The second objective will be to determine whether patients show a different pattern of brain activity changes than controls. The third objective will be to examine how these behavioral and neural measures relate to each other. The research will also explore whether neural changes measured at the beginning of training predict learning outcomes later in training, which would suggest that those early changes are a neural marker of perceptual plasticity. Overall, this perceptual learning-based approach to studying schizophrenia has the potential to lead to new training-based treatments for perceptual abnormalities in the disease, new ways to measure the effects of treatments on perceptual plasticity in schizophrenia, and new insights into the neural basis of the disease.
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2021 |
Parkinson, Carolyn Reavis, Eric Andrew |
R01Activity Code Description: To support a discrete, specified, circumscribed project to be performed by the named investigator(s) in an area representing his or her specific interest and competencies. |
Disrupted Neural Synchrony During Naturalistic Perception in Schizophrenia: Toward a New Biomarker of Social Dysfunction @ University of California Los Angeles
PROJECT SUMMARY/ABSTRACT Social dysfunction is a core feature of schizophrenia. Many individuals with schizophrenia experience social disconnection, a lack of social contact with friends and family. Social disconnection is associated with reduced quality of life and many negative health effects, but most current treatments do little to address it. The development of new interventions is currently hindered by a lack of scientific understanding about how differences in the way individuals? brains process information contribute to social disconnection, and a lack of biomarkers associated with social functioning. Recent research in non-clinical social neuroscience points to a compelling model that may help to explain social disconnection in schizophrenia and would provide the basis for a new biomarker of social dysfunction. Specifically, research using functional magnetic resonance imaging (fMRI) and inter-subject correlation (ISC) analysis methods shows that people whose brains tend to respond more normatively to dynamic, naturalistic stimuli (e.g., video clips) tend to have more social connections, perhaps because more other people experience the world in a similar way, whereas people with less normative responses tend to have fewer social connections. Converging evidence suggests that many individuals with schizophrenia are likely to have less normative responses to such naturalistic stimuli, which could help to explain why social disconnection is common in the disorder. However, the ISC method has not yet been used to study social dysfunction in schizophrenia. This project will fill this research gap by translating ISC research methods from non-clinical research in order to investigate how ISCs relate to social disconnection in schizophrenia. Individuals with schizophrenia (N=200) and matched healthy controls (N=100) will each complete one fMRI scan during which they will view naturalistic video stimuli and complete two established paradigms that assess important domains of social processing: social cue perception and mentalizing. We will characterize ISCs based on responses to the naturalistic video stimuli and characterize brain activity related to social cue perception and mentalizing using standard analyses. The study will test whether ISCs differ between the two participant groups and evaluate to what extent group ISC differences relate to individual differences in social connection. We will also characterize ISC normativity for each member of the schizophrenia group, using the control group as a reference, to assess whether brain response normativity is associated with social disconnection, and whether individuals? degree of social disconnection can be predicted from it. The project will also test whether an ISC-based measure is more sensitive to individual differences in social disconnection than established fMRI measures. Results from this project will improve understanding of how brain activity relates to social dysfunction in schizophrenia. ISC measures are also expected to constitute a biomarker of social dysfunction that may be useful for identifying individuals at high risk of social disconnection, targeting treatments toward individuals most likely to benefit from them, or assessing outcomes in future clinical trials.
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