Suppr超能文献

精神分裂症存在灰质体积不足的情况,但双相情感障碍不存在。

Deficits in gray matter volume are present in schizophrenia but not bipolar disorder.

作者信息

Zipursky R B, Seeman M V, Bury A, Langevin R, Wortzman G, Katz R

机构信息

Schizophrenia Division, Clarke Institute of Psychiatry, Toronto, Ontario, Canada.

出版信息

Schizophr Res. 1997 Aug 29;26(2-3):85-92. doi: 10.1016/s0920-9964(97)00042-x.

Abstract

Studies using magnetic resonance (MR) imaging have provided strong evidence that patients with schizophrenia as a group have structural brain abnormalities, including enlarged ventricles and sulci as well as smaller cortical gray matter volumes. This study was undertaken to investigate whether the brain abnormalities found in schizophrenia could be distinguished from those seen in bipolar disorder. The MR scans of 23 patients with schizophrenia were compared to those of 17 healthy community volunteers and 14 patients with bipolar disorder. Images were processed using computer-based image processing techniques to generate quantitative measures of cerebrospinal fluid (CSF), gray matter and white matter volumes. Compared to the community volunteers, the schizophrenia group had larger total CSF volumes while the bipolar group had larger ventricles. Smaller cortical gray matter volumes were found in the schizophrenia group, but not in the bipolar group. The schizophrenia group had regional deficits in gray matter volumes in comparison with both the community volunteers and the bipolar group. These findings suggest that the brain tissue abnormalities found in schizophrenia and bipolar disorder may be distinguishable using MR imaging.

摘要

利用磁共振(MR)成像的研究提供了有力证据,表明精神分裂症患者群体存在大脑结构异常,包括脑室和脑沟扩大以及皮质灰质体积减小。本研究旨在调查精神分裂症患者中发现的大脑异常是否能与双相情感障碍患者的异常相区分。将23名精神分裂症患者的MR扫描结果与17名健康社区志愿者和14名双相情感障碍患者的结果进行比较。使用基于计算机的图像处理技术对图像进行处理,以生成脑脊液(CSF)、灰质和白质体积的定量测量值。与社区志愿者相比,精神分裂症组的总脑脊液体积更大,而双相情感障碍组的脑室更大。精神分裂症组发现皮质灰质体积较小,但双相情感障碍组未发现。与社区志愿者和双相情感障碍组相比,精神分裂症组在灰质体积上存在区域缺陷。这些发现表明,使用MR成像可能能够区分精神分裂症和双相情感障碍中发现的脑组织异常。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验