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Functional imaging as a predictor of schizophrenia.
Heather C Whalley1, Enrico Simonotto, William Moorhead
1Division of Psychiatry, University of Edinburgh, Edinburgh, Scotland, UK.
Biological Psychiatry
|February 8, 2006
Summary
Functional magnetic resonance imaging (fMRI) in high-risk individuals revealed distinct brain activity patterns in those who later developed schizophrenia. These neural differences may help identify individuals at risk for the disorder.
Area of Science:
- Neuroimaging
- Psychiatry
- Schizophrenia Research
Background:
- Prospective studies in high-risk youth investigate pre-illness neural abnormalities.
- Identifying such abnormalities could aid in predicting schizophrenia development.
Purpose of the Study:
- To investigate baseline functional magnetic resonance imaging (fMRI) differences in high-risk individuals who later developed schizophrenia.
- To compare these individuals with healthy controls and high-risk individuals who did not develop the disorder.
Main Methods:
- Functional magnetic resonance imaging (fMRI) was used to scan young individuals with a high familial risk for schizophrenia.
- Participants included those who later developed schizophrenia (n=4), healthy controls (n=21), and high-risk individuals without psychosis (n=41) or with (n=21).
- A sentence completion task was administered during the fMRI scans.
Main Results:
- Individuals who developed schizophrenia showed increased parietal lobe activation and decreased anterior cingulate activation.
- Reduced activation increases with task difficulty were observed in the right lingual gyrus and bilateral temporal regions.
- Parietal activation combined with lingual gyrus activity predicted illness development with a positive predictive value of .80.
Conclusions:
- Functional brain abnormalities detected via fMRI distinguish high-risk individuals who develop schizophrenia from controls and unaffected high-risk individuals.
- These findings suggest that detectable neural differences are present before illness onset.
- fMRI may offer clinical utility in identifying individuals at high risk for schizophrenia.