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Neuromorphometry in Schizophrenia by Computer Algorithm

PI: Csernansky

Summary:
To utilize high resolution MR scans and computerized methods for neuromorphometry to detect and characterize progression of brain structure abnormalities in schizophrenia subjects.

Papers:

• Cortical thickness in neuropsychologically near-normal schizophrenia.
  Cobia DJ, Csernansky JG, Wang L
  Schizophrenia research 2011; 133(1-3): 68-76
  PMID: 21981933
  
• Longitudinal progression of frontal and temporal lobe changes in schizophrenia.
  Cobia, D. J., Smith, M. J., Wang, L., and Csernansky, J. G.
  Schizophr Res 2012; 139: 1-6
  PMID: 22647883
  
• Progressive deterioration of thalamic nuclei relates to cortical network decline in schizophrenia.
  Cobia, D.J., Smith, M.J., Salinas, I., Ng, C., Gado, M., Csernansky, J.G., Wang, L.
  Schizophr Res 2016; Sep
  View Article
  

Presentations:

• Subtyping Schizophrenia Subjects Using Working Memory and Approach Motivation Neuromaging Markers
  Wang, L., Cobia, D., Reilly, J., Csernansky, J., and Breiter, H. Human Brain Mapping: Beijing (Beijing -- June 2012)
  Download Presentation
  

Funding:

• 2 R01 MH56584-09 NIMH: Neuromorphometry in Schizophrenia by Computer Algorithm (PI: Csernansky) - To utilize high resolution MR scans and computerized methods for neuromorphometry to detect and characterize progression of brain structure abnormalities in schizophrenia subjects. (03/01/2007 - 02/28/2012).