The sight of one's own body: Could qEEG help predict the treatment response in anorexia nervosa?

Aims Of The Study: The study aims to identify the differences in brain activity between participants with anorexia nervosa and healthy control using visual stimulus conditions combined with the quantitative dense-array EEG recording analysis method called Brain Activation Sequences (BAS).

Materials And Methods: 23 participants with anorexia nervosa and 21 healthy controls were presented with visual stimuli, including the subject's facial expressions and body images. The 128-channel EEG data were processed using BAS and displayed as activity in up to 66 brain regions.

Idiopathic Hypersomnia-A Dynamic Simulation Model.

Aims Of The Study: Commonly used approach to illness assessment focuses on the patient's actual state supplemented by binary records of past events and conditions. This research project was designed to explain subjective experience in idiopathic hypersomnia (IH) patients influenced by their clinical symptoms and comorbidities.

Material And Methods: Forty-three IH patients of both sexes (female 60.

The Effect of Pet Therapy and Artist Interactions on Quality of Life in Brain Tumor Patients: A Cross-Section of Art and Medicine in Dialog.

With the evolution of modern medical treatment strategies, there also comes the realization that many times we reach a point where traditional goals of medical care, such as overall survival or disease-free survival, are not realistic goals for many patients facing devastating illnesses. One such disease is malignant primary brain tumors, known as malignant glioma (MG). With median survival of only 20.

Brain activation sequences.

Objective: Reported brain abnormalities in anatomy and function in psychiatric and neurological patients led to a project based on qualitative electroencephalography examination and analysis in an attempt to find specific brain derived pattern--or sequence of brain locations involved in processing various stimuli--both visual and auditory.

Methods: Specialized software called Brain Activation Sequences was built according to our team member specifications (M.S.

Automatic detection of sleep stages in neonatal EEG using the structural time profiles.

The new method for automatic sleep stages detection in neonatal EEG was developed. The procedure is based on processing of time profiles computed by adaptive segmentation and subsequent classification of signal graphoelements. The time profiles, functions of the class membership in the course of time, reflect the dynamic EEG structure and may be used for indication of changes in the neonatal sleep stages.