Novel Transfer Function Based Approaches for Analysis of Resting-State Connectivity in Patients with Optic Neuritis
| atmire.migration.oldid | 1813 | |
| dc.contributor.advisor | Smith, Michael Richard | |
| dc.contributor.advisor | Goodyear, Bradley | |
| dc.contributor.author | Choudhury, Samiul Hayder | |
| dc.date.accessioned | 2014-01-28T18:03:08Z | |
| dc.date.available | 2014-03-15T07:00:19Z | |
| dc.date.issued | 2014-01-28 | |
| dc.date.submitted | 2014 | en |
| dc.description.abstract | Generating reliable imaging markers to study connectivity changes of brain regions associated with optic neuritis (ON) allows ON to be used as a system model for advanced treatment and pathology of multiple sclerosis (MS). Markers that can differentiate ON subject groups are obtained using new transfer function based approaches to characterize the connectivity paths of visual signal propagation. We suggest three thresholding methods to alleviate the effect of possible noisy peaks in the transfer function spectrum. Artificial neural networks (ANN) are used to provide an improved classifier via the integration of the proposed metrics. We propose a new simulated annealing approach to improve the sensitivity of ANN trained with small datasets such as obtained from ON data. We evaluate the ability of the metrics to differentiate between normal subjects and ON patients, with and without MS, using two-way and three-way receiver operator characteristics. | en_US |
| dc.identifier.citation | Choudhury, S. H. (2014). Novel Transfer Function Based Approaches for Analysis of Resting-State Connectivity in Patients with Optic Neuritis (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/27136 | en_US |
| dc.identifier.doi | http://dx.doi.org/10.11575/PRISM/27136 | |
| dc.identifier.uri | http://hdl.handle.net/11023/1300 | |
| dc.language.iso | eng | |
| dc.publisher.faculty | Graduate Studies | |
| dc.publisher.institution | University of Calgary | en |
| dc.publisher.place | Calgary | en |
| dc.rights | University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. | |
| dc.subject | Engineering--Electronics and Electrical | |
| dc.subject.classification | Optic Neuritis | en_US |
| dc.subject.classification | Artificial Neural Network | en_US |
| dc.subject.classification | Receiver Operator Characteristic | en_US |
| dc.subject.classification | Simulated Annealing | en_US |
| dc.subject.classification | Bootstraping | en_US |
| dc.title | Novel Transfer Function Based Approaches for Analysis of Resting-State Connectivity in Patients with Optic Neuritis | |
| dc.type | master thesis | |
| thesis.degree.discipline | Electrical and Computer Engineering | |
| thesis.degree.grantor | University of Calgary | |
| thesis.degree.name | Master of Science (MSc) | |
| ucalgary.item.requestcopy | true |