Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"dynamic causal modeling"”.
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Dynamic Causal Modeling Across Network Topologies
Dynamic Causal Modeling (DCM) uses dynamical systems to represent the high-level neural processing strategy for a given cognitive task. The logical network topology of the model is specified by a combination of prior knowledge and statistical analysis of the neuro-imaging signals. Parameters of …
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Brain Activation and Connectivity In Non-Disabled Multiple Sclerosis Patients
… and the 2-back working memory task. Using dynamic causal modeling, we tested whether increased cognitive control recruitment is associated with alterations in connectivity in the working memory functional network. Patients exhibited similar network connectivity to that of control subjects …
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Virtual reality visual feedback and its effect on brain excitability
… correlated with improvement in clinical scores. Dynamic causal modeling (DCM) shows that interhemispheric coupling between the bilateral motor cortices tends to decrease after training and to negatively correlate with improvement in scores for clinical scales, and with the amount of …
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Large-scale Functional Connectivity in the Human Brain Reveals Fundamental Mechanisms of Cognitive, Sensory and Emotion Processing in Health and Psychiatric Disorders
… Psychophysiological Interactions (PPI) and Dynamic Causal Modeling (DCM) analyses were used to investigate the hypothesis that expectation and attention-related interactions between ventral and medial prefrontal cortex and association visual cortex underlie visual search for an object. …