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 “"Functional Network Connectivity"”.
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FUNCTIONAL NETWORK CONNECTIVITY IN HUMAN BRAIN AND ITS APPLICATIONS IN AUTOMATIC DIAGNOSIS OF BRAIN DISORDERS
… Emerging of neuroimaging techniques such as functional magnetic resonance imaging (fMRI) have opened a non-invasive in-vivo window into brain function. Moreover, fMRI has made it possible to study brain disorders such as schizophrenia from a different angle unknown to researchers before. …
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On the Use of Independent Component Analysis & Functional Network Connectivity Analysis: Evaluation on Two Distinct Large-Scale Psychopathology Studies
… has led us to gaining a better understanding of functional connectivity within the brain, especially within populations suffering from mental disorders. Functional magnetic resonance imaging (fMRI) is one of the leading techniques currently being implemented to explore cognitive function and …
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New Approaches for Data-mining and Classification of Mental Disorder in Brain Imaging Data
… mental illness such as schizophrenia are needed. Functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) are two well-known neuroimaging approaches that provide complementary information, both of which provide a huge amount of data that are not easily modelled. Currently, …
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Neocortical functional network development at the microscale: impairments and mechanisms in Rett Syndrome.
… patterns. A key challenge in studying brain network topology is that microscopic networks at the microscale cannot be studied noninvasively in humans. It is particularly challenging to study microscale networks during early development in animal models as the brain is rapidly changing in …
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Data-driven Methods for Resting-state fMRI Biomarker Discovery in Mental Illness
… the biological markers of mental illness from functional neuroimaging data. We focused on two broader research areas, the first of which is the characterization of brain networks in functional magnetic resonance imaging (fMRI) and dynamic functional network connectivity (dFNC) states. We posed …