Venkatasubramanian Ganesan, Jayakumar Peruvumba N, Gangadhar Bangalore N, Keshavan Matcheri S
Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore: 5600 29, India.
Psychiatry Res. 2008 Dec 30;164(3):215-22. doi: 10.1016/j.pscychresns.2007.12.021.
Recent imaging studies suggest that the so-called "soft" neurological signs in schizophrenia might have neuroanatomical validity. We examined gray matter volume correlates of neurological soft signs (NSS) in antipsychotic-naive schizophrenia patients using an automated image analysis technique. NSS were assessed using a modified neurological evaluation scale with good inter-rater reliability. Magnetic resonance images of 30 schizophrenia patients and 27 age-, sex-, education- and handedness-matched healthy controls were processed using optimized voxel-based morphometry (VBM). Logistic regression analysis showed that only the Motor Sequencing Signs (MSS) sub-score was a significant predictor of subject's status among the NSS sub-scores. Optimized VBM analysis showed that the MSS sub-score had a significant negative correlation with total and regional gray matter volumes (prefrontal, posterior cingulate, temporal cortices, putamen, and cerebellum) in schizophrenia patients but not in controls. Prefrontal and temporal cortices, putamen and cerebellum had significant volume deficits in patients. Cortical and cerebellar correlates of the sub-score MSS support the concept of "cognitive dysmetria" in schizophrenia.
近期的影像学研究表明,精神分裂症中所谓的“软性”神经体征可能具有神经解剖学依据。我们使用自动图像分析技术,研究了未服用抗精神病药物的精神分裂症患者神经软性体征(NSS)与灰质体积的相关性。使用具有良好评分者间信度的改良神经评估量表对NSS进行评估。对30例精神分裂症患者和27例年龄、性别、教育程度及利手相匹配的健康对照者的磁共振图像进行了优化的基于体素的形态学测量(VBM)。逻辑回归分析显示,在NSS各子评分中,只有运动序列体征(MSS)子评分是受试者状态的显著预测指标。优化的VBM分析显示,MSS子评分与精神分裂症患者的全脑及区域灰质体积(前额叶、后扣带回、颞叶皮质、壳核和小脑)呈显著负相关,而在对照组中无此相关性。患者的前额叶和颞叶皮质、壳核和小脑存在显著的体积减少。MSS子评分与皮质及小脑的相关性支持了精神分裂症中“认知失调”的概念。