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学科主题: 精神卫生
题名:
An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: Fractional ALFF
作者: Zou, Qi-Hong1; Zhu, Chao-Zhe1; Yang, Yihong2; Zuo, Xi-Nian3; Long, Xiang-Yu1,3; Cao, Qing-Jiu4; Wang, Yu-Feng4; Zang, Yu-Feng1,5,6
关键词: functional magnetic resonance imaging ; resting state ; amplitude of low-frequency fluctuation (ALFF) ; spontaneous brain activity
刊名: JOURNAL OF NEUROSCIENCE METHODS
发表日期: 2008-07-15
DOI: 10.1016/j.jneumeth.2008.04.012
卷: 172, 期:1, 页:137-141
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Biochemical Research Methods ; Neurosciences
研究领域[WOS]: Biochemistry & Molecular Biology ; Neurosciences & Neurology
关键词[WOS]: FUNCTIONAL MAGNETIC-RESONANCE ; DEFICIT HYPERACTIVITY DISORDER ; BOLD SIGNAL FLUCTUATIONS ; DEFAULT-MODE NETWORK ; ALZHEIMERS-DISEASE ; BRAIN-FUNCTION ; MOTOR CORTEX ; BASE-LINE ; CONNECTIVITY ; MRI
英文摘要:

Most of the resting-state functional magnetic resonance imaging (fMRI) studies demonstrated the correlations between spatially distinct brain areas from the perspective of functional connectivity or functional integration. The functional connectivity approaches do not directly provide information of the amplitude of brain activity of each brain region within a network. Alternatively, an index named amplitude of low-frequency fluctuation (ALFF) of the resting-state fMRI signal has been suggested to reflect the intensity of regional spontaneous brain activity. However, it has been indicated that the ALFF is also sensitive to the physiological noise. The current study proposed a fractional ALFF (fALFF) approach, i.e., the ratio of power spectrum of low-frequency (0.01-0.08 Hz) to that of the entire frequency range and this approach was tested in two groups of resting-state fMRI data. The results showed that the brain areas within the default mode network including posterior cingulate cortex, precuneus, medial prefrontal cortex and bilateral inferior parietal lobule had significantly higher fALFF than the other brain areas. This pattern was consistent with previous neuroimaging results. The non-specific signal components in the cistern areas in resting-state fMRI were significantly suppressed, indicating that the fALFF approach improved the sensitivity and specificity in detecting spontaneous brain activities. Its mechanism and sensitivity to abnormal brain activity should be evaluated in the future studies. (C) 2008 Elsevier B.V. All rights reserved.

语种: 英语
WOS记录号: WOS:000257485800020
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/60377
Appears in Collections:北京大学精神卫生研究所_期刊论文

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作者单位: 1.Peking Univ, Inst Mental Hlth, Beijing 100871, Peoples R China
2.Anding Hosp, Beijing, Peoples R China
3.Capital Med Univ, Dept Psychiat, Beijing, Peoples R China
4.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China
5.Natl Inst Drug Abuse, Neuroimaging Res Branch, NIH, Baltimore, MD 21042 USA
6.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100864, Peoples R China

Recommended Citation:
Zou, Qi-Hong,Zhu, Chao-Zhe,Yang, Yihong,et al. An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: Fractional ALFF[J]. JOURNAL OF NEUROSCIENCE METHODS,2008,172(1):137-141.
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