The superior temporal gyrus (STG) is important for hearing, language comprehension, learning, memory, recognition and semantic and phonological processing. Deficits of STG function are associated with pathological states (e.g., dyslexia, autism, schizophrenia). A quantitative characterization of the detailed anatomic structure of the STG is likely to be important in understanding both the normal function and pathological states related to its function as well as elucidate the differences between pathological groups. To conduct a thorough quantitative assessment of the STG, it is important to have a method capable of characterizing different parts of the STG reliably as well as analyzing shape and pattern characteristics. We propose the development and validation of such a method. Using conventional methods, we have already developed a highly reliable morphometric methodology to measure the STG and planum temporale (PT). Using that as a """"""""gold standard,"""""""" we propose to develop and validate semi-automated methods to measure these regions from a large population. Further, we will develop a shape analysis methodology to analyze the regions of the STG. Our lab currently has SGPR MRI scans on 30 schizophrenia patients individually matched with 30 normal subjects and 30 bipolar patients. We will use the above methods to investigate STG abnormalities in schizophrenia, This subject group provides an ideal starting point to validate semi-automated methods since schizophrenia patients have show STG cortical anomalies (e.g., reversed asymmetry of the PT) in morphometric studies. We believe the 30 bipolar patients are an important comparison group to the schizophrenia patients because it represents a psychiatric disorder that may have psychotic symptoms yet one in which there is no evidence of STG dysfunction. Defining differences in shape at specific locations of the STG and differences in gyral characteristics between patient groups and normal subjects may give important information about the etiology of schizophrenia, and aid in the differential diagnosis between schizophrenia and bipolar disorder.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH064838-04
Application #
7160478
Study Section
Brain Disorders and Clinical Neuroscience 5 (BDCN)
Program Officer
Meinecke, Douglas L
Project Start
2004-01-01
Project End
2008-12-31
Budget Start
2007-01-01
Budget End
2008-12-31
Support Year
4
Fiscal Year
2007
Total Cost
$278,492
Indirect Cost
Name
Johns Hopkins University
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218
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Ratnanather, J Tilak; Cebron, Shannon; Ceyhan, Elvan et al. (2014) Morphometric differences in planum temporale in schizophrenia and bipolar disorder revealed by statistical analysis of labeled cortical depth maps. Front Psychiatry 5:94
Ratnanather, J Tilak; Poynton, Clare B; Pisano, Dominic V et al. (2013) Morphometry of superior temporal gyrus and planum temporale in schizophrenia and psychotic bipolar disorder. Schizophr Res 150:476-83
Mahon, Pamela Belmonte; Eldridge, Haley; Crocker, Britni et al. (2012) An MRI study of amygdala in schizophrenia and psychotic bipolar disorder. Schizophr Res 138:188-91
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Wang, Lei; Beg, Faisal; Ratnanather, Tilak et al. (2007) Large deformation diffeomorphism and momentum based hippocampal shape discrimination in dementia of the Alzheimer type. IEEE Trans Med Imaging 26:462-70
Qiu, Anqi; Miller, Michael I (2007) Cortical hemisphere registration via large deformation diffeomorphic metric curve mapping. Med Image Comput Comput Assist Interv 10:186-93

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