This study looked for a correlation between romantic love and EEG data. Fifteen university students (fourteen female, one male) were used who professed a strong feeling of love for their partner. The EEG data was compared while they viewed pictures of their loved one and pictures of well known celebrities. There was a significant quadratic trend over all sites and several band widths. Greatest overall quadratic significance was seen at F7 which aligned with the insula which has been shown to be a key neural structure in the production of love ( Bartels & Zeki, 2000). Therefore there appears to be the greatest relationship between F7 and romantic love that needs to explored further in future research.

Electroencephalography (EEG) is a valuable tool for clinical and cognitive applications. EEG allows for measuring and imaging of scalp potentials emitted by brain activity and allows researchers to draw conclusions about underlying brain activity and function. However EEG is limited by poor spatial resolution due to various factors. One reason is the fact that EEG electrodes are separated from current sources in the brain by cerebrospinal fluid (CSF), the skull, and the scalp. Unfortunately the conductivities of these tissues are not yet well known which limits the spatial resolution of EEG.Based on prior research, spatial resolution of the EEG can be improved via use of various mathematical techniques that provide increased accuracy of the representation of scalp potentials. One such method is the surface Laplacian. It has been shown to be a direct approach to improving EEG spatial resolution. Yet this approach depends on a geometric head model and much work has been done on assuming the human head to be spherical.In this project, we will develop a mathematical model for ellipsoidal head geometry based on surface Laplacian calculations by Law [1]. The ellipsoidal head model is more realistic to the human head shape and can therefore improve accuracy of the EEG imaging calculations. We will construct a computational program that utilizes the ellipsoidal head geometry in hopes to provide a more accurate representation of data fits compared to the spherical head models. Also, we will demonstrate that the spline surface Laplacian calculations do indeed increase the spatial resolution thereby affording a greater impact to the clinical and cognitive study community involving EEG. / Department of Physics and Astronomy

No description available.

The single task condition of the Urbanczyk and Kennelly (1991) study was conducted while recording a continuous electroencephalographic (EEG) record. Attention was allocated by instructed lateral head orienting and eye gaze either congruently or incongruently with lateralized cognitive tasks. Thirty university subjects retained a digit span or a spatial location span for a 20 second retention interval. EEG data were extracted from the 20 second retention intervals and interhemispheric coherence was calculated for homologous sites in the temporal, parietal and occipital regions of the brain. There was a main effect for group, with congruent orienting producing greater coherence values than incongruent orienting. This effect of attention on alpha coherence values was found in the low alpha (8-10 Hz) frequency band. This provides evidence that the lower alpha frequency band is reflective of manipulations of attention. The higher coherence measures for the congruent orienting group indicates that homologous regions of the two hemispheres are more coupled into a single system when lateralized attention activates the same hemisphere performing the cognitive task. In the higher alpha frequency band (11-13 Hz) group, sex, site and task interacted. This provides evidence that the higher alpha band is more affected by cognitive processing of the specific task undertaken. An interhemispheric brain system, affected by the lateral orientation of attention, may underlie psychometric intelligence's general “g” ability (Spearman, 1927.)

Thesis (M.S.)--Brigham Young University. Dept. of Psychology, 2009. / Includes bibliographical references (p. 65-72).

No description available.

No description available.

Severe hypoglycemia poses the greatest challenge to glycemic control in diabetic patients, especially children with type 1 diabetes mellitus. Although in vivo animal models exist for investigating the effects of hypoglycemia, few studies examine repeated hypoglycemia and none investigate within the context of a juvenile animal model. The main objective of this thesis was to examine electroencephalographic (EEG) and behavioral abnormalities manifesting as a result of repeated hypoglycemia in juvenile diabetic and non-diabetic mouse models. Using a novel implantation technique, the hippocampal and cortical EEG were recorded during repeated insulin-induced hypoglycemia. It was discovered that repeated hypoglycemia exacerbated behavioral convulsion severity and promoted epileptiform EEG activity within the hippocampus and cortex of both diabetic and non-diabetic animals. Furthermore, sustained hypoglycemia caused a significant decrease in hippocampal EEG activity in diabetic animals compared with non-diabetics. These results suggest recurrent hypoglycemia may promote and worsen seizures associated with hypoglycemia in diabetic children.

Severe hypoglycemia poses the greatest challenge to glycemic control in diabetic patients, especially children with type 1 diabetes mellitus. Although in vivo animal models exist for investigating the effects of hypoglycemia, few studies examine repeated hypoglycemia and none investigate within the context of a juvenile animal model. The main objective of this thesis was to examine electroencephalographic (EEG) and behavioral abnormalities manifesting as a result of repeated hypoglycemia in juvenile diabetic and non-diabetic mouse models. Using a novel implantation technique, the hippocampal and cortical EEG were recorded during repeated insulin-induced hypoglycemia. It was discovered that repeated hypoglycemia exacerbated behavioral convulsion severity and promoted epileptiform EEG activity within the hippocampus and cortex of both diabetic and non-diabetic animals. Furthermore, sustained hypoglycemia caused a significant decrease in hippocampal EEG activity in diabetic animals compared with non-diabetics. These results suggest recurrent hypoglycemia may promote and worsen seizures associated with hypoglycemia in diabetic children.

Thesis (PhD) - Swinburne University of Technology, Brain Sciences Institute, 2006. / A thesis for Doctorate of Philosophy, Brain Sciences Institute, Swinburne University of Technology - 2006. Typescript. Bibliography: p. 180-203.