This career development plan will support the candidate's goals of mastering new imaging methodologies to investigate multiple aspects of a specific brain system in schizophrenia. This systems approach will allow a deeper understanding of the mechanisms associated with declarative memory (DM) impairments that are mediated by the medial temporal lobe (MTL) memory system (hippocampus, parahippocampal region and cerebral cortex). Guidance from accomplished investigators, state-of-the-art imaging facilities, and didactic training provide the infrastructure needed to achieve these goals. The rich institutional environment at UCLA further supports the candidate's long-term plan to develop a productive and independent program of research using imaging methods to better understand the pathophysiological underpinnings of brain disturbances in neuropsychiatric disorders. DM impairments and hippocampal volume reductions are shown particularly vulnerable to disease processes in schizophrenia and to indicate a genetic predisposition towards the illness. However, it is uncertain whether abnormalities of declarative memory (DM) reflect disturbances in regional brain activity and/or in functional connectivity and whether such impairments relate to structural abnormalities within this neural network. To address these questions, the candidate will combine structural, functional and diffusion tensor imaging to map structural and functional abnormalities of the MTL memory system in schizophrenia patients, first-degree relatives of patients and healthy comparison subjects recruited through a larger NIMH study, """"""""Transmission of Vulnerability Factors for Schizophrenia."""""""" The research plan includes advanced structural image analysis techniques and functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) strategies that will be employed to dissociate the structural and functional correlates of MTL disturbances including declarative memory deficits in schizophrenia and to establish the presence of genetic liability effects. ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Scientist Development Award - Research & Training (K01)
Project #
5K01MH073990-02
Application #
7184368
Study Section
Neural Basis of Psychopathology, Addictions and Sleep Disorders Study Section (NPAS)
Program Officer
Chavez, Mark
Project Start
2006-02-15
Project End
2010-01-31
Budget Start
2007-02-01
Budget End
2008-01-31
Support Year
2
Fiscal Year
2007
Total Cost
$149,580
Indirect Cost
Name
University of California Los Angeles
Department
Neurology
Type
Schools of Medicine
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
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Raine, A; Yang, Y; Narr, K L et al. (2011) Sex differences in orbitofrontal gray as a partial explanation for sex differences in antisocial personality. Mol Psychiatry 16:227-36
Phillips, Owen R; Clark, Kristi A; Woods, Roger P et al. (2011) Topographical relationships between arcuate fasciculus connectivity and cortical thickness. Hum Brain Mapp 32:1788-801
Phillips, Owen R; Nuechterlein, Keith H; Asarnow, Robert F et al. (2011) Mapping corticocortical structural integrity in schizophrenia and effects of genetic liability. Biol Psychiatry 70:680-9
Clark, Kristi A; Nuechterlein, Keith H; Asarnow, Robert F et al. (2011) Mean diffusivity and fractional anisotropy as indicators of disease and genetic liability to schizophrenia. J Psychiatr Res 45:980-8
Yang, Yaling; Nuechterlein, Keith H; Phillips, Owen et al. (2010) The contributions of disease and genetic factors towards regional cortical thinning in schizophrenia: the UCLA family study. Schizophr Res 123:116-25
Luders, Eileen; Narr, Katherine L; Hamilton, Liberty S et al. (2009) Decreased callosal thickness in attention-deficit/hyperactivity disorder. Biol Psychiatry 65:84-8
Yang, Yaling; Raine, Adrian; Narr, Katherine L et al. (2009) Localization of deformations within the amygdala in individuals with psychopathy. Arch Gen Psychiatry 66:986-94
Konrad, C; Ukas, T; Nebel, C et al. (2009) Defining the human hippocampus in cerebral magnetic resonance images--an overview of current segmentation protocols. Neuroimage 47:1185-95

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