Browsing by Subject "Magnetoencephalography"
Now showing items 1-6 of 6
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APPLICATION OF SUPPORT VECTOR MACHINES TO LONGITUDINAL FUNCTIONAL NEUROIMAGING DATA
(2016-12-15)The principal objective of this thesis was to test a novel adaptation of the support vector machine (SVM), called a longitudinal support vector machine(LSVM), on longitudinal functional neuroimaging data. LSVM performance ... -
Classification and Analysis of a Large MEG Dataset using Convolutional Neural Networks
(2019-08-16)Convolutional neural networks were used to classify and analyse a large magnetoencephalography (MEG) dataset. Networks were trained to classify between active and baseline intervals recorded during cued button pressing. ... -
EXPLORING TRANSIENT NEURAL EVENTS IN HEALTHY POPULATIONS USING NON-INVASIVE NEUROIMAGING
(2022-08-22)Non-invasive neurophysiological recordings, like those measured by magneto/electro- encephalography (M/EEG), provide insight into the behaviour of neural networks and how these networks change with factors such as task ... -
Intra-Session Reliability Metrics for Quality Assurance in Pre-Surgical Mapping with Magnetoencephalography
(2019-08-29)Magnetoencephalography (MEG) functional maps can localize brain activity for pre-surgical mapping, but their quality is difficult to quantify. Clinical standard metrics cannot be used when multiple sources of activity are ... -
INVESTIGATING RELIABILITY AS A TOOL FOR PATIENT-SPECIFIC PIPELINE SELECTION
(2017-08-21)Introduction: Functional neuroimaging plays a key role in pre-surgical planning and improving surgical outcomes. My team has developed ROCr (Receiver Operating Characteristic reliability) - a tool to assess intra-session ... -
Investigating Transient Patterns of Human Brain Activity in Normal Ageing
(2024-06-25)The global population is ageing rapidly, and with the increasing population age, comes an increasing need to understand the neurophysiological effects of ageing. Human brain activity consists of a complex combination of ...