Longitudinal Assessment of Distinct Motor Learning Processes to Inform Mechanistic Models of Sensorimotor Function in Psychosis

NIH RePORTER · NIH · K23 · $202,840 · view on reporter.nih.gov ↗

Abstract

PROJECT SUMMARY. Sensorimotor function is aberrant in psychosis, with 60-80% of patients being affected and motor disturbances contributing to hospitalizations. One sensorimotor function is motor learning, which allows us to engage with and adapt to our world through generating and updating internal models. Deficits in model updating are linked to symptoms in psychosis, such as delusions, hallucination, negative symptoms, and disorganization, making this fundamental process key to understanding the disorder. My prior work shows that sensorimotor and cognitive cerebellar regions required for model updating processes are smaller in a subset of patients, which may account for variability within and across motor tasks as well as symptom heterogeneity in psychosis. Critical knowledge gaps in these brain-behavior-symptom relationships have limited our ability to leverage the motor system for intervention, despite it being a highly accessible system. Thus, fundamental sensorimotor subprocesses are key to understanding psychosis and determining viable targets for treatment. Using longitudinal approaches and cross-discipline advances in measurement that allow us to parse previously ignored or indistinguishable sensorimotor processes, this project will determine how sensorimotor aberrations and psychotic symptoms relate, to inform mechanistic models and future intervention research. This K23 mentored patient-oriented career development award employs a novel computerized motor learning task and neuroimaging. The project goals are to: (Aim 1) cross-sectionally localize aberrant subprocesses of motor learning in psychosis and link these processes to brain structure and symptoms; (Aim 2) longitudinally map the malleability of sensorimotor deficits during natural course of illness to identify viable, clinically relevant intervention targets. This work sets the foundation for robust mechanistic studies on the role of unique neural circuits in distinct sensorimotor subprocesses and the data may serve as primary and secondary outcomes to investigate entirely new avenues of treatment for psychosis, given the lack of intervention on this system (planned follow-up R-mechanism grant). The applicant is an tenure-track Assistant Professor of Psychological and Brain Sciences at Indiana University Bloomington with dual PhD in Clinical Psychology and Neuroscience. She holds expertise in sensorimotor processes and cerebellar neuroimaging in psychosis. Her long-term career goal is to be a recognized expert on sensorimotor function in psychosis and to develop a mechanistic model of sensorimotor disturbance in psychosis that can be leveraged for clinical assessment and intervention. To accomplish these goals, the applicant will expand her current expertise with training in computational psychiatry, longitudinal methods, and intervention science for translation of targets to viable treatments. Training will include formal coursework and hands-on training, guided by a mentorship...

Key facts

NIH application ID
10984412
Project number
1K23MH135215-01A1
Recipient
TRUSTEES OF INDIANA UNIVERSITY
Principal Investigator
Alexandra Moussa-Tooks
Activity code
K23
Funding institute
NIH
Fiscal year
2024
Award amount
$202,840
Award type
1
Project period
2024-08-01 → 2025-07-31