Sackeim H A, Prohovnik I, Moeller J R, Brown R P, Apter S, Prudic J, Devanand D P, Mukherjee S
Department of Biological Psychiatry, New York State Psychiatric Institute, NY 10032.
Arch Gen Psychiatry. 1990 Jan;47(1):60-70. doi: 10.1001/archpsyc.1990.01810130062009.
We measured regional cerebral blood flow with the xenon 133 inhalation technique in 41 patients with major depressive disorder and 40 matched, normal controls during an eyes-closed, resting condition. The depressed group had a marked reduction in global cortical blood flow. To examine topographic abnormalities, traditional multivariate analyses were applied, as well as a new scaled subprofile model developed to identify abnormal functional neural networks in clinical samples. Both approaches indicated that the depressed sample had an abnormality in topographic distribution of blood flow, in addition to the global deficit. The scaled subprofile model identified the topographic abnormality as being due to flow reduction in the depressed patients in selective frontal, central, superior temporal, and anterior parietal regions. This pattern may reflect dysfunction in the parallel distributed cortical network involving frontal and temporoparietal polymodal association areas. The extent of this topographic abnormality, as revealed by the scaled subprofile model, was associated with both patient age and severity of depressive symptoms.
我们采用氙133吸入技术,对41例重度抑郁症患者和40名相匹配的正常对照者在闭眼静息状态下进行了局部脑血流量测量。抑郁症组的全脑皮质血流量显著减少。为了检查地形学异常,我们应用了传统的多变量分析方法,以及一种新开发的缩放子轮廓模型,以识别临床样本中的异常功能神经网络。两种方法均表明,抑郁症样本除了存在整体血流量不足外,其血流的地形分布也存在异常。缩放子轮廓模型确定这种地形异常是由于抑郁症患者在选择性额叶、中央、颞上和顶叶前部区域的血流减少所致。这种模式可能反映了涉及额叶和颞顶多模式联合区域的平行分布式皮质网络功能障碍。缩放子轮廓模型所揭示的这种地形异常程度与患者年龄和抑郁症状严重程度均相关。