Sackeim H A, Prohovnik I, Moeller J R, Mayeux R, Stern Y, Devanand D P
Department of Biological Psychiatry, New York State Psychiatric Institute, NY 10032.
J Nucl Med. 1993 Jul;34(7):1090-101.
We contrasted regional cerebral blood flow in matched groups of 30 patients with major depression, 30 patients with Alzheimer's disease and 30 normal controls using the 133Xe inhalation technique. Whereas both the depressed and Alzheimer's disease groups had markedly reduced global cortical blood flow, the Scaled Subprofile Model, developed to identify abnormalities in regional networks, indicated that they had distinct topographic profiles. Previous findings of an abnormal regional network in major depression were unaltered by the inclusion of Alzheimer's disease patients in the analysis. Alzheimer's disease was associated with a distinct parietotemporal deficit and the degree of this abnormality strongly covaried with cognitive impairment. Alzheimer's disease patients also had abnormal manifestation of three other regional networks. We illustrate a method for distinguishing when a disease imposes a new pattern of interactions among brain regions and when a disease alters the expression of regional patterns characteristic of normal functioning.
我们采用吸入¹³³Xe技术，对比了30名重度抑郁症患者、30名阿尔茨海默病患者和30名正常对照者匹配组的局部脑血流量。虽然抑郁症组和阿尔茨海默病组的全脑皮质血流量均显著降低，但用于识别区域网络异常的标度子剖面模型表明，它们具有不同的地形轮廓。在分析中纳入阿尔茨海默病患者后，重度抑郁症中区域网络异常的先前研究结果并未改变。阿尔茨海默病与明显的顶颞叶缺陷相关，这种异常程度与认知障碍密切相关。阿尔茨海默病患者的其他三个区域网络也有异常表现。我们阐述了一种方法，用于区分疾病是在大脑区域之间强加了一种新的相互作用模式，还是改变了正常功能所特有的区域模式的表达。
