Price, G.; (2008) Investigating structural brain changes in the first-episode of schizophrenia using volumetric, magnetisation transfer and diffusion tensor-magnetic resonance imaging. Doctoral thesis, UCL (University College London).
Full text not available from this repository.
Schizophrenia is a common psychiatric illness presenting in young adults. Structural brain abnormalities have been detected in patients early in the disease and in those with chronic schizophrenia using conventional magnetic resonance imaging (MRl). Conventional MRI lacks neuropathological sensitivity and can only detect structural changes when they lead to reduction in brain volume. Two other MRI structural techniques - Magnetisation transfer (MTI) and diffusion tensor imaging (DTI) - are capable of detecting more subtle abnormalities than conventional MRI and provide more specific information about the underlying neuropathology. This thesis comprises several studies using volumetric imaging, MTI and DTI to elucidate structural brain abnormalities in patients with first episode Schizophrenia in whom the confounding effects of a chronic illness can be minimized. The following studies are included in the thesis: 1) A cross-sectional comparison of patients with first episode psychosis and healthy controls using MTI and volumetric imaging 2) A 3-year follow-up study of patients and healthy controls using MTI and volumetric MRI to examine the natural history of schizophrenia. 3) Three cross-sectional studies using DTI to explore white matter abnormalities that may lead to disrupted connectivity; a) a region-of-interest DTI study of the corpus callosum; b) a tractography study of the corpus callosum; c) a tractography study of the uncinate fasciculus.
|Title:||Investigating structural brain changes in the first-episode of schizophrenia using volumetric, magnetisation transfer and diffusion tensor-magnetic resonance imaging|
|Additional information:||Authorisation for digitisation not received|
|UCL classification:||UCL > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Neurology > IoN - Neuroinflammation|
Archive Staff Only: edit this record