NETWORK ANALYSIS OF BRAIN COGNITIVE FUNCTION USING METABOLIC AND BLOOD-FLOW DATA

被引：68

作者：

HORWITZ, B

MCINTOSH, AR

HAXBY, JV

GRADY, CL

机构：

[1] Laboratory of Neurosciences, National Institute on Aging, National Institutes of Health, Bethasda, MD 20892, Bldg. 10, Rm. 6C414

来源：

BEHAVIOURAL BRAIN RESEARCH | 1995年 / 66卷 / 1-2期

关键词：

BRAIN METABOLISM; BLOOD FLOW; IMAGING; COGNITIVE FUNCTION; VISUAL PROCESSING; EXTRASTRIATE CORTEX; POSITRON EMISSION TOMOGRAPHY;

D O I：

10.1016/0166-4328(94)00139-7

中图分类号：

B84 [心理学]; C [社会科学总论]; Q98 [人类学];

学科分类号：

03 ; 0303 ; 030303 ; 04 ; 0402 ;

摘要：

Functional neuroimaging has become a powerful tool for investigating the neurobiological foundations of cognition. An overview is presented of the two major strategies by which such data are currently analyzed. One strategy compares the pattern of activity between two (or more) tasks, looking for those brain areas that show significant changes. The second investigates the functional relationships between regional activities in an attempt to determine the systems-level neural networks mediating the tasks. Object and spatial visual processing tasks are used to illustrate each of these strategies.

引用

页码：187 / 193

页数：7

共 34 条

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