Browsing Theses and Dissertations(library) by Subject "EEG"
Now showing items 1-13 of 13
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An EEG Investigation of a Depressive Self-Schema Related to Levels of Processing in Individuals With High Depressive Symptomatology
(2016-08-09)Individuals with high depressive symptomatology have better memory for negative events than positive events. The preferential processing of negative information supports the theory of a depressive self-schema in individuals ... -
Change of Brain Network Connectivity among different Human Vigilance States investigated by EEG
(2017-09-11)Understanding the brain network connectivity associated with human vigilance states, to investigate the basic neural processes that underlie complex higher-order cognitive operations and functional domains, has become an ... -
Electrophysiological, Hemodynamic, and Metabolic Effects of Transcranial Photobiomodulation (tPBM) on Topographical and Physiological Connectivity in the Human Brain
(2022-08-17)Transcranial photobiomodulation (tPBM) targets the human brain with near-infrared (NIR) light and is shown to affect human cognitive performance and neural electrophysiological activity as well as concentration changes of ... -
INVESTIGATING CAUSAL INTERACTIONS IN THE HUMAN BRAIN USING EEG AND fNIRS
(2016-08-24)It is necessary for distributed neural assemblies to work in collaboration to achieve the most elementary brain functions. Activities within segregated neural assemblies are integrated to process an incredibly diverse ... -
Investigation of 1064-nm laser fluence within tissue phantoms and its in vivo effects on human brain networks
(2018-05-22)For the past few decades there has been an increasing interest in the usage of near infrared (NIR) laser in the medical optics field. This is due to a number of studies conducted on different animal models utilizing NIR ... -
INVESTIGATION OF COPLING STRENGTH AND DIRECTIONALITY BETWEEN EEG AND FNIRS AT RESTING STATE USING PERMUTATION CONDITIONAL MUTUAL INFORMATION
(2016-08-26)The motivation of study is to combine multimodality approach EEG-fNIRS to study relationship between neural activity and hemodynamic response applying information theory concepts. Investigating human brain function can be ... -
INVESTIGATION OF FUNCTIONAL CONNECTIVITY AND NEUROVASCULAR COUPLING IN DIFFERENT VIGILANCE / BREATH-HOLD STATES OF THE BRAIN FROM SIMULTANEOUS EEG-fNIRS MEASUREMENTS
(2019-07-10)Functional connectivity and neurovascular coupling are important phenomena that occur in the brain. Functional connectivity is the study of functional brain networks and their characteristics. While neurovascular coupling ... -
Mapping of Electroencephalogram (EEG) Responses to Newsvendor Decision Model and Cerebral Hemodynamic Responses to Transcranial Photobiomodulation (tPBM) in Humans
(2022-05-17)Decision-making is one of the most critical activities of human beings. Various studies have investigated the brain responses to a variety of decision tasks by deploying the EEG data. The first aim of my dissertation was ... -
METABOLIC, HEMODYNAMIC AND ELECTROPHYSIOLOGICAL EFFECTS OF TRANSCRANIAL PHOTOBIOMODULATION (tPBM) ON THE HUMAN BRAIN
(2019-08-30)Photobiomodulation (PBM) refers to the use of red-to-near-infrared light to stimulate cellular functions for physiological or clinical benefits. Transcranial photobiomodulation (tPBM) is a noninvasive form of cerebral ... -
Multiple Dipole Source Position and Orientation Estimation Using Non-Invasive EEG-like Signals
(2023-12-06)The human brain comprises of neurons that connect with each other via electrical signals. One can record and measure these activities using an electroencephalogram (EEG). An essential use of the EEG is in locating the ... -
NONINVASIVE MAPPING OF GLOBAL AND REGIONAL FUNCTIONAL CONNECTIVITY IN THE BRAIN OF CHILDREN WITH DRUG RESISTANT EPILEPSY AND HEALTHY CONTROLS
(2023-12-18)**Please note that the full text is embargoed until 02/01/2025** For patients with drug resistant epilepsy (DRE), resective surgery is the most effective treatment to achieve seizure-freedom. Its success largely depends ... -
Supervised Sparse Learning with Applications in Bioinformatics
(2018-08-23)In machine learning and mathematical optimization, sparse learning is the use of mathematical norms such as L1-norm, group norm and L21-norm in order to seek a trade-off between the goodness-of-fit measure and sparsity of ... -
Whole-head functional brain imaging of economic risk decision making and transcranial photobiomodulation with fNIRS and EEG
(2020-09-08)Functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) are two non-invasive brain imaging or mapping modalities that allow us to measure cerebral hemodynamic and electrophysiological changes in the ...