Abnormal prefrontal activation directly related to pre-synaptic striatal dopamine dysfunction in people at clinical high risk for psychosis.

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Title: Abnormal prefrontal activation directly related to pre-synaptic striatal dopamine dysfunction in people at clinical high risk for psychosis.
Authors: Fusar-Poli, P., Howes, O. D., Allen, P., Broome, M., Valli, I., Asselin, M-C, Montgomery, A. J., Grasby, P. M., McGuire, P.
Source: Molecular Psychiatry. Jan2011, Vol. 16 Issue 1, p67-75. 9p. 1 Chart, 2 Graphs.
Subjects: Schizophrenia, Magnetic resonance imaging, Positron emission tomography, Dopamine, Psychoses
Abstract: Schizophrenia is characterized by altered prefrontal activity and elevated striatal dopaminergic function. To investigate the relationship between these abnormalities in the prodromal phase of the illness, we combined functional Magnetic Resonance Imaging and 18F-Dopa Positron Emission Tomography. When performing a verbal fluency task, subjects with an At-Risk Mental State showed greater activation in the inferior frontal cortex than controls. Striatal dopamine function was greater in the At-Risk group than in controls. Within the At-Risk group, but not the control group, there was a direct correlation between the degree of left inferior frontal activation and the level of striatal dopamine function. Altered prefrontal activation in subjects with an At-Risk Mental State for psychosis is related to elevated striatal dopamine function. These changes reflect an increased vulnerability to psychosis and predate the first episode of frank psychosis. [ABSTRACT FROM AUTHOR]
Copyright of Molecular Psychiatry is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Abnormal prefrontal activation directly related to pre-synaptic striatal dopamine dysfunction in people at clinical high risk for psychosis.
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  Data: <searchLink fieldCode="JN" term="%22Molecular+Psychiatry%22">Molecular Psychiatry</searchLink>. Jan2011, Vol. 16 Issue 1, p67-75. 9p. 1 Chart, 2 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Schizophrenia%22">Schizophrenia</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Positron+emission+tomography%22">Positron emission tomography</searchLink><br /><searchLink fieldCode="DE" term="%22Dopamine%22">Dopamine</searchLink><br /><searchLink fieldCode="DE" term="%22Psychoses%22">Psychoses</searchLink>
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  Data: Schizophrenia is characterized by altered prefrontal activity and elevated striatal dopaminergic function. To investigate the relationship between these abnormalities in the prodromal phase of the illness, we combined functional Magnetic Resonance Imaging and 18F-Dopa Positron Emission Tomography. When performing a verbal fluency task, subjects with an At-Risk Mental State showed greater activation in the inferior frontal cortex than controls. Striatal dopamine function was greater in the At-Risk group than in controls. Within the At-Risk group, but not the control group, there was a direct correlation between the degree of left inferior frontal activation and the level of striatal dopamine function. Altered prefrontal activation in subjects with an At-Risk Mental State for psychosis is related to elevated striatal dopamine function. These changes reflect an increased vulnerability to psychosis and predate the first episode of frank psychosis. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Molecular Psychiatry is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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