The technology to extract objective, quantitative information from in vivo magnetic resonance (MR) images has not kept pace with the improved spatial and contrast resolution of MR images. With recent advances in image processing, however, it is now possible to exploit more fully information contained in MR images. The purpose of the present proposal is to apply newly developed MR image processing techniques to high spatial resolution MR images in order to quantify in vivo differences between the brains of normal control subjects and patients afflicted with schizophrenia. The application of these techniques to the investigation of schizophrenia is promising because brain anomalies are often subtle and may not be present in all patients. We have begun to apply these techniques and have some exciting and promising, albeit preliminary findings from a small sample in which schizophrenics, compared to normals, showed: 1) left lateralized volume reductions in anterior hippocampus, parahippocampal gyrus (also on the right), and neocortical superior temporal gyrus (STG); 2) a high correlation between left posterior STG volume and amount of thought disorder (r=0.81); 3) a non-statistically significant but interesting increase in white matter in anterior cingulate gyrus that might be consistent with an increase in vertical axons reported by Benes in a post-mortem study of schizophrenics; and 4) a more disorganized, non-parallel gyral pattern in the temporal lobe. These findings are, however, preliminary and the inclusion of a larger sample is essential to increase the statistical power. We now propose to broaden our studies and to apply computerized image processing techniques to MR scans obtained from 75 male, right-handed, ch ronic schizophrenics (15 per year) and 75 age- sex- and parental social class- matched normal controls.
| Saito, Yukiko; Kubicki, Marek; Koerte, Inga et al. (2018) Impaired white matter connectivity between regions containing mirror neurons, and relationship to negative symptoms and social cognition, in patients with first-episode schizophrenia. Brain Imaging Behav 12:229-237 |
| Gallardo, Guillermo; Wells 3rd, William; Deriche, Rachid et al. (2018) Groupwise structural parcellation of the whole cortex: A logistic random effects model based approach. Neuroimage 170:307-320 |
| Ratner, Vadim; Gao, Yi; Lee, Hedok et al. (2017) Cerebrospinal and interstitial fluid transport via the glymphatic pathway modeled by optimal mass transport. Neuroimage 152:530-537 |
| Sastry, Rahul; Bi, Wenya Linda; Pieper, Steve et al. (2017) Applications of Ultrasound in the Resection of Brain Tumors. J Neuroimaging 27:5-15 |
| Chen, Yongxin; Georgiou, Tryphon T; Ning, Lipeng et al. (2017) Matricial Wasserstein-1 Distance. IEEE Control Syst Lett 1:14-19 |
| Niethammer, Marc; Pohl, Kilian M; Janoos, Firdaus et al. (2017) ACTIVE MEAN FIELDS FOR PROBABILISTIC IMAGE SEGMENTATION: CONNECTIONS WITH CHAN-VESE AND RUDIN-OSHER-FATEMI MODELS. SIAM J Imaging Sci 10:1069-1103 |
| Chen, Yongxin; Cruz, Filemon Dela; Sandhu, Romeil et al. (2017) Pediatric Sarcoma Data Forms a Unique Cluster Measured via the Earth Mover's Distance. Sci Rep 7:7035 |
| Schabdach, Jenna; Wells 3rd, William M; Cho, Michael et al. (2017) A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies. Inf Process Med Imaging 10265:170-183 |
| Wachinger, Christian; Brennan, Matthew; Sharp, Greg C et al. (2017) Efficient Descriptor-Based Segmentation of Parotid Glands With Nonlocal Means. IEEE Trans Biomed Eng 64:1492-1502 |
| Chen, Yongxin; Georgiou, Tryphon; Pavon, Michele et al. (2017) Robust transport over networks. IEEE Trans Automat Contr 62:4675-4682 |
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