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 16 of 16 for “"scalp EEG"”.
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Development of a subcortical emphasized physical human head model for evaluation of deep brain source contribution to scalp EEG
Electroencephalography (EEG) technique has been extensively utilized in clinical and research settings for brain disorder related disease monitoring and cognitive science studies. Quantifying EEG rhythms through low resolution brain electromagnetic tomography (LORETA) analysis could further provide …
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Discrimination of alcoholics from non-alcoholics using supervised learning on resting EEG
… must be done by structured clinical interview. Scalp Electroencephalography (EEG) is a noisy, non-stationary signal produced by an aggregate of brain activity from neurons close to the scalp. Previous research has identified a relationship between information extracted from resting scalp EEG and …
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Electrophysiological Signatures of Spatial and Temporal Coding in Humans
… In Chapter 1, I provide a brief summary of scalp electroencephalogram (EEG), intracranial EEG, mobile EEG, hippocampal theta oscillations, frontal midline theta oscillations, and behavioral models for spatial and temporal cognition. In Chapter 2, I report the feasibility of recording …
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From thoughts to actions: cracking the neural code across scales and modalities
… neural recording modalities: noninvasive scalp EEG, invasive stereotactic EEG, and intracortical microelectrode arrays. At the macroscopic level, I first demonstrate how low-frequency phase dynamics in scalp EEG relate to fluctuations in attention. Using information-theoretic and signal …
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Seizure prediction and control in epilepsy
… seizure on the basis of intracranial and scalp EEG. Past research could reveal some value of linear and nonlinear algorithms to detect EEG features changing over different phases of the epileptic cycle. However, their exact value for seizure prediction, in terms of sensitivity and …
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Physiological High-Frequency Oscillations in Scalp EEGs Change During Brain Maturation
… brain region and sex. Using a dataset of 244 scalp EEG recordings from developmentally typical children, we found that HFOs follow a structured developmental trajectory, differ by sex and vary regionally across different stages of maturation. These findings were used to generate a reference …
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Application of machine learning to epileptic seizure onset detection and treatment
… seizures and tested on 844 hours of continuous scalp EEG from 23 pediatric epilepsy patients, our algorithm detected 96% of 163 test seizures with a median detection delay of 3 seconds and a median false detection rate of 2 false detections per 24 hour period.
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ELECTROCORTICAL CHANGES OBSERVED IN THE N2 AS AN OUTCOME OF ATTENTION BIAS MODIFICATION TRAINING
… is an event-related potential (ERP) detected in scalp EEG recordings that is associated with conflict monitoring and complex cognitive functioning. Past studies have found that anxious adults present increased N2’s during conflict processing, suggesting a relationship between hyperactive conflict …
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EXPLORING PHYSIOLOGICAL, PATHOLOGICAL AND PARAPHYSIOLOGICAL BRAIN ACTIVITY ACROSS SCALES WITH SIMULTANEOUS INVASIVE AND NON-INVASIVE EEG
… high-density electroencephalography (hd-EEG) with invasive stereoelectroencephalography (SEEG) to enhance understanding of brain electrophysiology in pathological, physiological and paraphysiological contexts. The combination of these two methods, known as "co-registration," leverages the …
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Study on FPGA-based computation units for Ocular Artifact Removal algorithm for multi-channel Electroencephalography (EEG)
… (FPGA) for multi-channel electroencephalography (EEG) signals. The primary objective is to analyze the mathematical representation of the ocular artifact removal algorithm and convert it to hardware implementable computational modules. Input is taken from an existing scalp EEG recording dataset …
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Network Dynamics of Visual Object Recognition
… human neuroimaging techniques (e.g. fMRI, scalp EEG). To better understand these issues, we leveraged the high spatiotemporal resolution of intracranial EEG (icEEG) recordings to study rapid, transient interactions between the disseminated cortical substrates within category-specific …
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Investigations into Brain-Computer Interfacing for Stroke Rehabilitation
… BCIs which use electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) to measure brain activity are the focus of these efforts. EEG and fNIRS are relatively inexpensive, easy-to-use and portable brain measurement/ imaging systems compared to other brain imaging …
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State-space Modeling of Neural Oscillations: Toward Assessing Alzheimer’s Disease Neuropathology with Sleep EEG
… practices in sleep electroencephalography (EEG) analysis are based on visual inspection and the ubiquitous Fourier transform. These approaches face several methodological challenges demonstrated in this thesis, and they have become increasingly limiting as the scientific questions become …
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Utility of EEG in the diagnosis of Efavirenz neurotoxity in HIV positive patients at a South African tertiary hospital
… may present with encephalopathy, for which scalp EEG (sEEG) is indicated. Although a characteristic pattern of sEEGs waveforms in this deleterious condition has been suggested before, this has not been studied. Objective: The aim of this study was to investigate the utility of sEEG as a …
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Events prediction in electroencephalographic signals
… signals, known as Electroencephalogram (EEG) signals, from the user into device commands under an operating protocol. The protocol initialises and defines the nature of the communication (i.e., discrete or continuous). It also determines the strategy which underpins the generation of the …
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DEEP ARCHITECTURES FOR SPATIO-TEMPORAL SEQUENCE RECOGNITION WITH APPLICATIONS IN AUTOMATIC SEIZURE DETECTION
Scalp electroencephalograms (EEGs) are used in a broad range of health care institutions to monitor and record electrical activity in the brain. EEGs are essential in diagnosis of clinical conditions such as epilepsy, seizure, coma, encephalopathy, and brain death. Manual scanning and …