Voxel-based magnetic resonance imaging investigation of poor and preserved clinical insight in people with schizophrenia

基于体素的磁共振成像研究精神分裂症患者临床洞察力差与临床洞察力保留情况

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Abstract

AIM: To define regional grey-matter abnormalities in schizophrenia patients with poor insight (Insight(-)), relative to patients with preserved clinical insight (Insight(+)), and healthy controls. METHODS: Forty stable schizophrenia outpatients (20 Insight(-) and 20 Insight(+)) and 20 healthy controls underwent whole brain magnetic resonance imaging (MRI). Insight in all patients was assessed using the Birchwood Insight Scale (BIS; a self-report measure). The two patient groups were pre-selected to match on most clinical and demographic parameters but, by design, they had markedly distinct BIS scores. Voxel-based morphometry employed in SPM8 was used to examine group differences in grey matter volumes across the whole brain. RESULTS: The three participant groups were comparable in age [F(2,57) = 0.34, P = 0.71] and the patient groups did not differ in age at illness onset [t(38) = 0.87, P = 0.39]. Insight(-) and Insight(+) patient groups also did not differ in symptoms on the Positive and Negative Syndromes scale (PANSS): Positive symptoms [t(38) = 0.58, P = 0.57], negative symptoms [t(38) = 0.61, P = 0.55], general psychopathology [t(38) = 1.30, P = 0.20] and total PANSS scores [t(38) = 0.21, P = 0.84]. The two patient groups, as expected, varied significantly in the level of BIS-assessed insight [t(38) = 12.11, P < 0.001]. MRI results revealed lower fronto-temporal, parahippocampal, occipital and cerebellar grey matter volumes in Insight(-) patients, relative to Insight(+) patients and healthy controls (for all clusters, family-wise error corrected P < 0.05). Insight(+) patient and healthy controls did not differ significantly (P > 0.20) from each other. CONCLUSION: Our findings demonstrate a clear association between poor clinical insight and smaller fronto-temporal, occipital and cerebellar grey matter volumes in stable long-term schizophrenia patients.

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