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 20 of 275 for “"Functional Connectivity"”.
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DYNAMIC FUNCTIONAL CONNECTIVITY NETWORKS: NEW ANALYSIS AND INTERPRETATION STRATEGIES
… network studies have implicitly assumed that functional connectivity between distinct brain regions is static over the recording period of resting state scans. Brain network organization must dynamically recognize, integrate and respond to internal and external stimuli across multiple time …
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Mutual information derived functional connectivity of the electroencephalogram (EEG)
Monitoring the functional connectivity between brain networks is becoming increasingly important in elucidating brain functionality in normal and disease states. Current methods of detecting networks in the recorded EEG such as correlation and coherence are limited by the fact that they assume …
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Assessing functional connectivity in the newborn brain using fNIRS
Functional connectivity represents a powerful approach to describe the intrinsic activity of the brain. It reveals the organization and correlations among anatomically separated regions supporting similar cognitive and sensory processes. Using functional Magnetic Resonance Imaging (fMRI), the …
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Anatomically Informed Models of Functional Connectivity in the Brain
… we addressed issues of anatomical and functional connectivity in the brain and how brain connectivity changes with aging. This research effort involved statistical modeling of the dynamic cooperation among brain areas while exploiting probabilistic information about the presence of …
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Intrinsic functional connectivity networks in endogenously maintained cognitive states
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms
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Functional Connectivity of Entorhinal Cortex in Alzheimer's Disease
… in AD. The current study investigated the functional connectivity of the EC in AD and normal control (NC) subjects using functional connectivity magnetic resonance imaging (fcMRI). Additional goals of the study were to examine relationships between EC functional connectivity, EC volume, and …
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Effects of Exercise Therapy on Functional Connectivity in Parkinson's Disease
… on high rates of exercise. In this study, we use functional connectivity (FC) MRI to further elucidate the mechanism underlying this rate-dependent effect. PD subjects were randomized to complete 8 weeks of forced, voluntary, or no exercise. Changes in brain connectivity were then analyzed as a …
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Vascular Risk, Functional Connectivity, and Episodic Memory in Older Adults
<p>Resting-state functional magnetic resonance imaging and functional connectivity (FC) analyses are used to explore functional brain networks underlying a diverse array of abilities. Functional networks are composed of regions throughout the brain whose activity is closely linked to form a …
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Brain functional connectivity and its aberrations in mouse models of autism
Functional Magnetic Resonance Imaging (fMRI) has consistently highlighted aberrant functional connectivity across brain regions of autism spectrum disorder (ASD) patients. However, the manifestation and neural substrates of these alterations are highly heterogeneous and often conflicting. Moreover, …
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Resting-state Functional Connectivity Correlates of Inhibitory Control over Emotional Stimuli
… task, therefore with the use of resting-state functional magnetic resonance imaging (fMRI) and an emotional anti-saccade task, this study aims to identify the neural correlates of inhibitory control over emotional stimuli. The anti-saccade task is known as an effective measure of inhibitory …
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Robust time-varying functional connectivity estimation and its relevance for depression
… how to robustly estimate time-varying functional con- nectivity (TVFC), a construct in neuroimaging research that looks at changes in functional coupling (correlation between time series) between brain regions during a functional magnetic resonance imaging (fMRI) scan, and how it can be …
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Moment-to-moment Variability of Intrinsic Functional Connectivity and Its Usefulness
The brain connectivity of resting-state fMRI (rs-fMRI) represents an intrinsic state of brain architecture, and it has been used as a useful neural marker for detecting psychiatric conditions such as autism spectrum disorder, as well as for predicting psychosocial characteristics such as age. …
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Changes in Brain Functional Connectivity Following Donepezil Treatment in Alzheimer's Disease
This study used resting state functional connectivity magnetic resonance imaging (fcMRI) to explore changes in brain connectivity and their behavior correlates in nine regions of interest (ROIs) in eleven patients with mild Alzheimer's disease (AD) following treatment with the cholinesterase …
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From Rest to Action: Functional Connectivity Architecture of the Human Hand Motor Network
… have greatly advanced our understanding of the functional contributions of individual regions. Yet, a central open question in motor neuroscience concerns the dynamic interactions among these regions: while their local roles are well characterized, their network-level organization and functional …
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Addressing Indirect Functional Connectivity in Neuroscience via Graphical Information Theory: Causality and Coherence
Accurate inference of functional connectivity, i.e. statistical relationships between brain regions, is critical for understanding brain function. Distinguishing between direct and indirect relationships is particularly important because this corresponds to identifying if brain regions are directly …
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Comparison of data-driven analysis methods for identification of functional connectivity in fMRI
… found a fruitful application in the analysis of functional magnetic resonance imaging (fMRI) data for identifying functionally connected brain networks. Unlike the traditional regression-based hypothesis-driven analysis methods, the principal advantage of data-driven methods is their …
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Predicting Individual Differences on Two Episodic Memory Measures Using Resting-State Functional Connectivity Data
Recently, Finn et al. (2015), and later Rosenberg et al. (2016), introduced a new methodology that could predict aspects of cognition such as fluid intelligence and attention, and produce potentially informative networks associated with the cognitive variable. Using resting-state fMRI data from the …
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