This competing renewal uses quantitative structural MRI to address several fundamental questions regarding the status of morphometric brain alterations in schizophrenia and bipolar affective disorder. The initial grant gathered samples of subjects with schizophrenia, and bipolar disorder as well as healthy control subjects. The current proposal focuses on six major inter-related questions spanning the origin and progression of the brain alterations, whether they are inherited, and their relation to symptom classes and to disease outcome. The major questions concern the following: 1. Which brain changes in schizophrenia are specific to the disorder, as opposed to shared with psychotic bipolar disorder. 2. Is there evidence of neuro-developmental brain changes in schizophrenia, and if so do these differ from those seen in psychotic bipolar disorder. 3. Are brain changes in schizophrenia progressive in some or all patients. 4. Are local brain alterations in schizophrenia related to clinical symptoms. 5. Do local brain alterations in schizophrenia predict social and occupational functioning 5 years later. 6. Do the types of brain changes seen in schizophrenia also occur in some or all of their siblings. There are several strengths to the application. Many of the patients and controls derive from large, well-characterized populations who are participants in ongoing, funded studies of the genetics of schizophrenia and bipolar disorder, or a longitudinal study of normal aging who have already been MRI scanned using identical parameters. These subjects' origin in existing studies helps ensure ease of tracking, subject retention and willingness to be re-MRI scanned. This latter is important as a proportion of patients will be re-scanned 5 years after their initial, existing MRI studies. The investigators have developed state-of-the-art software methods for MRI display and measurement and have expertise in sophisticated, reliable volumetric quantification of many brain regions, including complex cortical areas. This latter ability is important, as preliminary evidence suggests that these same brain regions are disproportionately affected by the disorder. Preliminary data gathered with our new MRI methods show feasibility, and will allow us to further study these cortical areas, providing supportive evidence for a hypothesis of particular reduction of volume in, and disruption of normal asymmetries within heteromodal association cortical gray matter regions in schizophrenia. The overall project will allow a systematic investigation of related multi-system neural deficits. The circumstances of the proposed project are exceptional, in that they offer an opportunity to address a series of important and wide-ranging questions regarding brain abnormalities in schizophrenia and bipolar disorder in an integrated manner. The combination of advantages referred to above will help us to provide answers to hypotheses ranging from the level of inherited abnormalities to that of disease outcome.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH043775-13
Application #
6666895
Study Section
Special Emphasis Panel (ZRG1-BDCN-6 (01))
Project Start
1988-08-01
Project End
2005-03-31
Budget Start
2003-07-01
Budget End
2005-03-31
Support Year
13
Fiscal Year
2003
Total Cost
$665,594
Indirect Cost
Name
Hartford Hospital
Department
Type
DUNS #
065533796
City
Hartford
State
CT
Country
United States
Zip Code
06102
Yang, Genevieve J; Murray, John D; Wang, Xiao-Jing et al. (2016) Functional hierarchy underlies preferential connectivity disturbances in schizophrenia. Proc Natl Acad Sci U S A 113:E219-28
Pearlson, Godfrey D (2015) Etiologic, phenomenologic, and endophenotypic overlap of schizophrenia and bipolar disorder. Annu Rev Clin Psychol 11:251-81
Anticevic, Alan; Savic, Aleksandar; Repovs, Grega et al. (2015) Ventral anterior cingulate connectivity distinguished nonpsychotic bipolar illness from psychotic bipolar disorder and schizophrenia. Schizophr Bull 41:133-43
Anticevic, Alan; Cole, Michael W; Repovs, Grega et al. (2014) Characterizing thalamo-cortical disturbances in schizophrenia and bipolar illness. Cereb Cortex 24:3116-30
Yang, Genevieve J; Murray, John D; Repovs, Grega et al. (2014) Altered global brain signal in schizophrenia. Proc Natl Acad Sci U S A 111:7438-43
Anticevic, Alan; Yang, Genevieve; Savic, Aleksandar et al. (2014) Mediodorsal and visual thalamic connectivity differ in schizophrenia and bipolar disorder with and without psychosis history. Schizophr Bull 40:1227-43
Sui, Jing; He, Hao; Pearlson, Godfrey D et al. (2013) Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophrenia. Neuroimage 66:119-32
Sung, Kyongje; Gordon, Barry; Vannorsdall, Tracy D et al. (2013) Impaired retrieval of semantic information in bipolar disorder: a clustering analysis of category-fluency productions. J Abnorm Psychol 122:624-634
Sung, Kyongje; Gordon, Barry; Yang, Sujeong et al. (2013) Evidence of semantic clustering in letter-cued word retrieval. J Clin Exp Neuropsychol 35:1015-23
Schretlen, David J; Peña, Javier; Aretouli, Eleni et al. (2013) Confirmatory factor analysis reveals a latent cognitive structure common to bipolar disorder, schizophrenia, and normal controls. Bipolar Disord 15:422-33

Showing the most recent 10 out of 54 publications