Abstract

The proposed studies will use MRI to examine quantitatively in schizophrenics, and matched normal controls the neuroanatomic regions found to characterize schizophrenia in previous neuropathologic studies. We will also carry out neuropsychological testing to study functions associated with those brain regions. MRI acquisition will involve in part the use of local surface coils to produce very detailed images of discrete brain regions. Computer-aided three dimensional reconstruction of some structures will allow volumetric as well as area assessment. PET scan measures of Bmax values of D2 dopamine receptors will be available many patients. CT measures will also be obtained. We wish to explore differences between schizophrenics and normals on the above measures, and the relationships between the structural, neuropsychological, and neurophysiologic measures in schizophrenia. We also wish to establish the specificity of the abnormalities detected to schizophrenia. For that reason a second control group will consist of matched patients with bipolar affective disorder, who will also undergo all of the above investigations.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
1R01MH043775-01
Application #
3383104
Study Section
Psychopathology and Clinical Biology Research Review Committee (PCB)
Project Start
1988-08-01
Project End
1992-07-31
Budget Start
1988-08-01
Budget End
1989-07-31
Support Year
1
Fiscal Year
1988
Total Cost
Indirect Cost

  Institution

Name
Johns Hopkins University
Department
Type
Schools of Medicine
DUNS #
045911138
City
Baltimore
State
MD
Country
United States
Zip Code
21218

  Publications

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

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