Brain complexity increases in mania

被引:47
作者
Bahrami, B [1 ]
Seyedsadjadi, R
Babadi, B
Noroozian, M
机构
[1] Univ Tehran, Roozbeh Psychiat Hosp, Tehran 193955746, Iran
[2] Inst Studies Theoret Phys & Math, Sch Cognit Sci, Tehran 193955746, Iran
关键词
bipolar mood disorder; BMD; chaos theory; complexity; EEG;
D O I
10.1097/00001756-200502080-00025
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
An important challenge in measuring whole brain activation is to develop a measure that could distinguish between normal and abnormal mood states. The application of chaos theory and non-linear dynamics to problems in biological sciences has resulted in a growing body of advancements and the notion of brain as a complex, non-linear system has attracted physicists, mathematicians, biologists and psychologists alike. To search for a correlation between alterations in chaotic brain states and mood disorders, we compared the fractal dimension of the electroencephalographic (EEG) signal in patients going through a manic episode of bipolar mood disorder (BMD) type I to a control group of healthy adults and showed that the EEG fractal dimension is significantly augmented in our patients. Thus, for the first time, we draw a clear objective distinction between normal and abnormal mood and associated brain states. NeuroReport 16:187-191 (C) 2005 Lippincott Williams Wilkins.
引用
收藏
页码:187 / 191
页数:5
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