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Biomarkers and schizophrenia

Much research has focused on the explanations and subsequent treatments for schizophrenia but, until recently, very little was known about whether early so-called biomarkers, such as abnormal EEG patterns, could predict the subsequent development of schizophrenia.

Recent research by Frank Duffy and his colleagues (2015) indicates that, while many individuals may show clinically high risk (CHR) symptoms for schizophrenia, only a minority of them go on to develop schizophrenia. This appears to limit the potential for early interventions aimed at preventing the development of schizophrenia. Duffy et al. therefore sought to identify what biological markers were the best predictors that reliably distinguished individuals that went on to develop schizophrenia and those who did not.

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John Bowlby and attachment theory

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