Reconfigurations of Cortico-Subcortical Manifold Structure During Reward-Based Motor Learning

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Authors

Niksefat, M Qasem

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thesis

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eng

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Motor learning , reward-based learning , neural manifold , brain connectivity , motor control

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In this thesis, we explore the complex interplay between higher-order brain systems and the sensorimotor cortex during the process of learning, specifically within the context of adaptive motor behavior. Employing functional Magnetic Resonance Imaging (MRI), we monitor human brain activity as participants carry out a task which requires them to adjust their hand movements based on reinforcement feedback. Our methodology includes mapping patterns of cortical and subcortical functional connectivity onto a low-dimensional mathematical space, referred to as a manifold, and tracking how regions within this space expand and contract throughout the learning process. Our findings present a novel pattern of connectivity shifts between sensorimotor areas and other critical brain networks at distinct stages of learning. During the early learning phase, we observe increased covariance between sensorimotor areas in the Dorsal Attention Network (DAN) and the salience/ventral attention network, coupled with a decrease in covariance with regions of the Default Mode Network (DMN). This pattern undergoes a reversal during the later stages of learning, with increased covariance noted between sensorimotor areas and DMN regions, and decreased connectivity with salience/ventral attention network areas. Furthermore, we establish a correlation between the individual performance of participants and the expansion and contraction patterns of the Dorsal Attention Network regions within the manifold space. These observations provide a unique perspective on the neural foundations of reward-based motor learning and how the changes in functional coupling between the medial prefrontal cortex and sensorimotor cortex accompany different learning stages.

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