Sökning: "fMRI"
Visar resultat 1 - 5 av 121 avhandlingar innehållade ordet fMRI.
1. fMRI for mapping the plastic somatotopy of primary somatosensory cortex - Development and clinical applications
Sammanfattning : Functional magnetic resonance imaging (fMRI) is a widely used tool for studying brain function in vivo. The technique is based on acquiring brain images sensitive to the physiological response following neural activation, and hence, allows brain activity to be examined and documented. LÄS MER
2. Advanced clinical MRI for better outcome in epilepsy surgery. Focusing on fMRI and prediction of verbal memory decline
Sammanfattning : Abstract Aim: The aim of the thesis was to evaluate the use of advanced MRI technology to improve results of epilepsy surgery, with focus on language and memory functions. Methods: In paper I, 25 patients with drug-resistant epilepsy were retrospectively included in the study for having been referred to high resolution 3T MRI with and without surface coils. LÄS MER
3. Scalable Bayesian spatial analysis with Gaussian Markov random fields
Sammanfattning : Accurate statistical analysis of spatial data is important in many applications. Failing to properly account for spatial autocorrelation may often lead to false conclusions. LÄS MER
4. Human brains and virtual realities : Computer-generated presence in theory and practice
Sammanfattning : A combined view of the human brain and computer-generated virtual realities is motivated by recent developments in cognitive neuroscience and human-computer interaction (HCI). The emergence of new theories of human brain function, together with an increasing use of realistic human-computer interaction, give reason to believe that a better understanding of the relationship between human brains and virtual realities is both possible and valuable. LÄS MER
5. Machine learning for identification of brain activity patterns with applications in gentle touch processing
Sammanfattning : Since the first mention of artificial intelligence in the 1950s, the field of machine learning has provided increasingly appealing tools for recognition of otherwise unintelligible pattern representations in complex data structures. Human brain activity, acquired using functional magnetic resonance imaging (fMRI), is a prime example of such complex data where the utility of pattern recognition has been demonstrated in a wide range of studies recently (Haynes et al. LÄS MER
