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.
Results
Showing 1 to 20 of 49 for “"resting state fmri"”.
-
Comparison between different techniques of preprocessing for resting state fMRI analysis
Resting state functional connectivity as the name suggests is defined as significant temporal correlation between spatially distinct regions of the brain during rest. In this thesis, fMRI resting state dataset was analyzed using different available processing techniques with the same fMRI data to …
-
Data-driven Methods for Resting-state fMRI Biomarker Discovery in Mental Illness
… in functional magnetic resonance imaging (fMRI) and dynamic functional network connectivity (dFNC) states. We posed three specific research questions to address several limitations in the current literature and enhance the characterization process through our contributions. Firstly, there …
-
A Study of Resting State FMRI Dynamic Functional Network Analysis of MTBI
… Static functional network analysis using resting state brain fMRI images has shown some promising results in identifying characteristics of MTBI. However, recent development in the dynamics of functional networks have been able to reveal insightful information about anomalies in brain …
-
Time-resolved Resting-state fMRI of Brain States Associated with Drug-resistant Epilepsy
… framework for time-resolved analysis of resting-state functional magnetic resonance imaging (fMRI) data with the aim of elucidating brain patterns of aberrant activity in individuals with drug-resistant epilepsy. Specifically, a dynamic functional connectivity analysis method is first …
-
Differentiating schizophrenic patients from healthy control; application of machine learning to resting state fmri
… to train classifiers to decode stimuli, mental states, behaviors and other variables of interest from fMRI data. Most of these studies focus on fMRI low frequency oscillations. This study focuses on the amplitude of low-frequency fluctuations (ALFF) and fractional amplitude of low-frequency …
-
Using Brain Topological Features Extracted from Resting State fMRI to Classify Autism Spectrum Disorder
… task. Graph theoretical measures, extracted from resting state functional MRI, have already proven useful in classifying other neurological disorders. I hypothesized that by using these features for Autism Spectrum Disorder classification, the model performance (accuracy) will improve over …
-
Translating resting state fMRI to determine invariant, replicable biomarkers of the heterogeneous tinnitus patient population
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-12-01
-
Closer look at the fMRI data analysis pipeline and its application in anesthesia resting state experiment
The main focus of the thesis is the resting state fMRI data analysis, with much emphasis on the anesthesia fMRI experiments. Under this central topic, three separate themes are developed: resting state fMRI data analysis overview, improved denoising techniques, and application to the …
-
Reliability of resting brain networks using FMRI
Resting state FMRI studies on human subjects are primarily focused on elaborating effects of resting state brain networks on task induced paradigm and to check consistency of these networks between different groups of populations. Recent studies have shown consistency of RSFC networks within same …
-
Novel Functional Magnetic Resonance Imaging Analysis Approaches for Investigations of the Dynamics of Resting-State Functional Connectivity
… functional magnetic resonance imaging (BOLD fMRI) signals are highly synchronous between brain regions that serve similar functions. This provides a means to investigate functional networks of the human brain; however, most data analysis techniques assume functional connections are constant …
-
Generative models of brain connectivity for population studies
… and functional connectivity is assessed using resting-state functional Magnetic Resonance Imaging (fMRI). We first develop a probabilistic model to merge information from DWI tractography and resting-state fMRI correlations. Our formulation captures the interaction between hidden templates of …
-
Motor Network Organization in Frontal Lobe Epilepsy
… using two methods. The first was a task-based fMRI study of brain activation during simple and complex motor tasks, and the second was a resting-state fMRI study of motor network connectivity. Both studies revealed motor network disturbances in participants with FLE, disturbances that were more …
-
Predicting Individual Differences on Two Episodic Memory Measures Using Resting-State Functional Connectivity Data
… associated with the cognitive variable. Using resting-state fMRI data from the Human Connectome Project, we extended the Rosenberg et al. methodology to episodic memory and evaluated its ability to produce significantly predictive models and provide insights into episodic memory networks. We …
-
Anomaly detection in brain connectivity structure : an application to epilepsy
… in brain connectivity networks estimated from resting state fMRI. We are motivated by the problem of localizing diseased regions to be resected in pre-surgical epilepsy patients. Our goal is to investigate the potential of these non-invasive connectivity approaches to augment and even replace …
-
Characterization of the Intrinsic Neural Timescale Indices as a Reliable Fingerprint of Brain Dynamics
… Half Lag, Exponential Decay Constant (τ)— using resting-state fMRI data from 400 cortical regions across a large, lifespan sample (ages 6– 85) from the NKI-Rockland dataset. A discriminability analysis revealed that the AR(1) coefficient provided the highest test-retest reliability and individual …
-
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. …
-
Altered Brain Networks In Patients with Psychogenic Non-Epileptic Seizures (PNES) Using Ultra High Field MRI
… creating a poor prognosis for patients. Resting state functional magnetic resonance imaging can aid in the diagnosis and treatment of PNES by helping better understand brain networks in patients with PNES. This study examines brain networks in patients with PNES with a focus on the …
-
Subject and group level changes and comparison in functional connectivity under low vs. high cognitively demanding naturalistic viewing conditions using fmri
Resting State fMRI is used extensively for analysing brain regions. fMRI is also used to determine task induced activations from cerebral networks. This study involves both rest and task activation data and implements statistical methods applied on Blood Oxygenation Level Dependent (BOLD) signals. …
-
Resting State Neurophysiology of Agonist-Antagonist Myoneural Interface in Persons with Transtibial Amputation
… to the central nervous system. The study of resting state neural activity helps non-invasively characterize the neural patterns that prime task response. In this first study on resting state fMRI in AMI subjects, we compared resting state functional connectivity in patients with transtibial …
-
Executive function and contingency management for methamphetamine use disorder in South Africa: a comparison pre- and post-treatment
… articles on the association of stimulant use and resting state functional connectivity. In the empirical study, 33 subjects underwent executive function testing, resting state-fMRI, and structural neuroimaging prior to contingency management treatment. Executive function was assessed with the …
Page 1 of 3