• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 125
  • 20
  • 8
  • Tagged with
  • 153
  • 138
  • 65
  • 38
  • 17
  • 16
  • 16
  • 16
  • 15
  • 15
  • 15
  • 15
  • 15
  • 14
  • 14
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
151

Poruchy paměti a kognitivní koordinace u potkaních modelů neuropsychiatrických onemocnění / Memory and cognitive coordination impairment in rat models of neuropsychiatric diseases

Vojtěchová, Iveta January 2021 (has links)
The memory and spatial navigation are extremely important brain functions for humans, but they are often the question of life and death for animals. In humans, memory can be disrupted by various neuropsychiatric disorders. The patients suffering from Alzheimer's dementia (AD) have impaired working and long-term memory, spatial navigation, higher cognitive functions and social memory. The deficit of cognitive coordination (the skill to recognize the relevancy of incoming information) and disorientation belong to the symptomatology of schizophrenia. Intelectual disability appears in some patients with autism spectrum disorder. Unfortunately, it is not possible to cure these disorders efficiently because the etiology is not known in the majority of patients. The causes leading to development of these disorders could be revealed using animal models. This thesis contributes to the characterization of the cognitive skills disruptions - as well as other behavioral alterations - in selected rat models of AD (transgenic McGill rat, non-transgenic Samaritan rat) and schizophrenia (lipopolysaccharide model of early postnatal, or prenatal, bacterial infection). The thesis also discusses the validity and limitations of these models. Our results showed a severe deficit of spatial navigation, learning and...
152

Modelování Huntingtonovy choroby a bněčná terapie při poškození míchy. / Huntington's disease modeling and stem cell therapy in spinal cord disorders and injury

Hruška-Plocháň, Marián January 2013 (has links)
Neurological disorders affect more than 14% of the population worldwide and together with traumatic brain and spinal cord injuries represent major health, public and economic burden of the society. Incidence of inherited and idiopathic neurodegenerative disorders and acute CNS injuries is growing globally while neuroscience society is being challenged by numerous unanswered questions. Therefore, research of the CNS disorders is essential. Since animal models of the CNS diseases and injuries represent the key step in the conversion of the basic research to the clinics, we focused our work on generation of new animal models and on their use in pre-clinical research. We generated and characterized transgenic minipig model of Huntington's disease (HD) which represents the only successful establishment of a transgenic model of HD in minipig which should be valuable for testing of long term safety of HD therapeutics. Next, we crossed the well characterized R6/2 mouse HD model with the gad mouse model which lacks the expression of UCHL1 which led to results that support the theory of "protective" role of mutant huntingtin aggregates and suggest that UCHL1 function(s) may be affected in HD disturbing certain branches of Ubiquitin Proteasome System. Traumatic spinal cord injury and Amyotrophic Lateral...
153

Moderní řečové příznaky používané při diagnóze chorob / State of the art speech features used during the Parkinson disease diagnosis

Bílý, Ondřej January 2011 (has links)
This work deals with the diagnosis of Parkinson's disease by analyzing the speech signal. At the beginning of this work there is described speech signal production. The following is a description of the speech signal analysis, its preparation and subsequent feature extraction. Next there is described Parkinson's disease and change of the speech signal by this disability. The following describes the symptoms, which are used for the diagnosis of Parkinson's disease (FCR, VSA, VOT, etc.). Another part of the work deals with the selection and reduction symptoms using the learning algorithms (SVM, ANN, k-NN) and their subsequent evaluation. In the last part of the thesis is described a program to count symptoms. Further is described selection and the end evaluated all the result.

Page generated in 0.0495 seconds