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Neuropsychological and neuroimaging underpinnings of schizoaffective disorder: a systematic review.

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Title: Neuropsychological and neuroimaging underpinnings of schizoaffective disorder: a systematic review.
Authors: Madre, M., Canales‐Rodríguez, E. J., Ortiz‐Gil, J., Murru, A., Torrent, C., Bramon, E., Perez, V., Orth, M., Brambilla, P., Vieta, E., Amann, B. L.
Source: Acta Psychiatrica Scandinavica. Jul2016, Vol. 134 Issue 1, p16-30. 15p.
Subjects: Schizoaffective disorders, Brain imaging, Neuropsychology, Diagnostic imaging, Affective disorders, Diagnosis
Abstract: Objectives The neurobiological basis and nosological status of schizoaffective disorder remains elusive and controversial. This study provides a systematic review of neurocognitive and neuroimaging findings in the disorder. Methods A comprehensive literature search was conducted via PubMed, ScienceDirect, Scopus and Web of Knowledge (from 1949 to 31st March 2015) using the keyword 'schizoaffective disorder' and any of the following terms: 'neuropsychology', 'cognition', 'structural neuroimaging', 'functional neuroimaging', 'multimodal', ' DTI' and ' VBM'. Only studies that explicitly examined a well defined sample, or subsample, of patients with schizoaffective disorder were included. Results Twenty-two of 43 neuropsychological and 19 of 51 neuroimaging articles fulfilled inclusion criteria. We found a general trend towards schizophrenia and schizoaffective disorder being related to worse cognitive performance than bipolar disorder. Grey matter volume loss in schizoaffective disorder is also more comparable to schizophrenia than to bipolar disorder which seems consistent across further neuroimaging techniques. Conclusions Neurocognitive and neuroimaging abnormalities in schizoaffective disorder resemble more schizophrenia than bipolar disorder. This is suggestive for schizoaffective disorder being a subtype of schizophrenia or being part of the continuum spectrum model of psychosis, with schizoaffective disorder being more skewed towards schizophrenia than bipolar disorder. [ABSTRACT FROM AUTHOR]
Copyright of Acta Psychiatrica Scandinavica is the property of Wiley-Blackwell 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.)
Database: Psychology and Behavioral Sciences Collection
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  Data: <searchLink fieldCode="AR" term="%22Madre%2C+M%2E%22">Madre, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Canales‐Rodríguez%2C+E%2E+J%2E%22">Canales‐Rodríguez, E. J.</searchLink><br /><searchLink fieldCode="AR" term="%22Ortiz‐Gil%2C+J%2E%22">Ortiz‐Gil, J.</searchLink><br /><searchLink fieldCode="AR" term="%22Murru%2C+A%2E%22">Murru, A.</searchLink><br /><searchLink fieldCode="AR" term="%22Torrent%2C+C%2E%22">Torrent, C.</searchLink><br /><searchLink fieldCode="AR" term="%22Bramon%2C+E%2E%22">Bramon, E.</searchLink><br /><searchLink fieldCode="AR" term="%22Perez%2C+V%2E%22">Perez, V.</searchLink><br /><searchLink fieldCode="AR" term="%22Orth%2C+M%2E%22">Orth, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Brambilla%2C+P%2E%22">Brambilla, P.</searchLink><br /><searchLink fieldCode="AR" term="%22Vieta%2C+E%2E%22">Vieta, E.</searchLink><br /><searchLink fieldCode="AR" term="%22Amann%2C+B%2E+L%2E%22">Amann, B. L.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Acta+Psychiatrica+Scandinavica%22">Acta Psychiatrica Scandinavica</searchLink>. Jul2016, Vol. 134 Issue 1, p16-30. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Schizoaffective+disorders%22">Schizoaffective disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+imaging%22">Brain imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Neuropsychology%22">Neuropsychology</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnostic+imaging%22">Diagnostic imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Affective+disorders%22">Affective disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnosis%22">Diagnosis</searchLink>
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  Data: Objectives The neurobiological basis and nosological status of schizoaffective disorder remains elusive and controversial. This study provides a systematic review of neurocognitive and neuroimaging findings in the disorder. Methods A comprehensive literature search was conducted via PubMed, ScienceDirect, Scopus and Web of Knowledge (from 1949 to 31st March 2015) using the keyword 'schizoaffective disorder' and any of the following terms: 'neuropsychology', 'cognition', 'structural neuroimaging', 'functional neuroimaging', 'multimodal', ' DTI' and ' VBM'. Only studies that explicitly examined a well defined sample, or subsample, of patients with schizoaffective disorder were included. Results Twenty-two of 43 neuropsychological and 19 of 51 neuroimaging articles fulfilled inclusion criteria. We found a general trend towards schizophrenia and schizoaffective disorder being related to worse cognitive performance than bipolar disorder. Grey matter volume loss in schizoaffective disorder is also more comparable to schizophrenia than to bipolar disorder which seems consistent across further neuroimaging techniques. Conclusions Neurocognitive and neuroimaging abnormalities in schizoaffective disorder resemble more schizophrenia than bipolar disorder. This is suggestive for schizoaffective disorder being a subtype of schizophrenia or being part of the continuum spectrum model of psychosis, with schizoaffective disorder being more skewed towards schizophrenia than bipolar disorder. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Acta Psychiatrica Scandinavica is the property of Wiley-Blackwell 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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