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Neuroanatomy of Patients with Deficit Schizophrenia: An Exploratory Quantitative Meta-Analysis of Structural Neuroimaging Studies

Author

Listed:
  • Tji Tjian Chee

    (Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
    Department of Psychological Medicine, National University Hospital, Singapore 119228, Singapore)

  • Louis Chua

    (Yong Loo Lin School of Medicine, National University Singapore, Singapore 117597, Singapore)

  • Hamilton Morrin

    (Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE5 8AF, UK
    Guy’s & St Thomas’ NHS Foundation Trust, London SE11 4TX, UK)

  • Mao Fong Lim

    (Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE5 8AF, UK
    East Suffolk and North Essex NHS Foundation Trust, Ipswich CO4 5JL, UK)

  • Johnson Fam

    (Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
    Department of Psychological Medicine, National University Hospital, Singapore 119228, Singapore)

  • Roger Ho

    (Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
    Department of Psychological Medicine, National University Hospital, Singapore 119228, Singapore)

Abstract

Little is known regarding the neuroanatomical correlates of patients with deficit schizophrenia or persistent negative symptoms. In this meta-analysis, we aimed to determine whether patients with deficit schizophrenia have characteristic brain abnormalities. We searched PubMed, CINAHL and Ovid to identify studies that examined the various regions of interest amongst patients with deficit schizophrenia, patients with non-deficit schizophrenia and healthy controls. A total of 24 studies met our inclusion criteria. A random-effects model was used to calculate a combination of outcome measures, and heterogeneity was assessed by the I 2 statistic and Cochran’s Q statistic. Our findings suggested that there was statistically significant reduction in grey matter volume (−0.433, 95% confidence interval (CI): −0.853 to −0.014, p = 0.043) and white matter volume (−0.319, 95% CI: −0.619 to −0.018, p = 0.038) in patients with deficit schizophrenia compared to healthy controls. There is also statistically significant reduction in total brain volume (−0.212, 95% CI: −0.384 to −0.041, p = 0.015) and white matter volume (−0.283, 95% CI: −0.546 to −0.021, p = 0.034) in patients with non-deficit schizophrenia compared to healthy controls. Between patients with deficit and non-deficit schizophrenia, there were no statistically significant differences in volumetric findings across the various regions of interest.

Suggested Citation

  • Tji Tjian Chee & Louis Chua & Hamilton Morrin & Mao Fong Lim & Johnson Fam & Roger Ho, 2020. "Neuroanatomy of Patients with Deficit Schizophrenia: An Exploratory Quantitative Meta-Analysis of Structural Neuroimaging Studies," IJERPH, MDPI, vol. 17(17), pages 1-26, August.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:17:p:6227-:d:404900
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    Cited by:

    1. Omran Davarinejad & Tahereh Mohammadi Majd & Farzaneh Golmohammadi & Payam Mohammadi & Farnaz Radmehr & Mostafa Alikhani & Tayebeh Motaei & Mehdi Moradinazar & Annette Brühl & Dena Sadeghi Bahmani & S, 2021. "Identification of Risk Factors to Predict the Occurrences of Relapses in Individuals with Schizophrenia Spectrum Disorder in Iran," IJERPH, MDPI, vol. 18(2), pages 1-13, January.

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