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An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: Fractional ALFF
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
2008-07-15
DOI10.1016/j.jneumeth.2008.04.012
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
Cited Times:422[WOS]   [WOS Record]     [Related Records in WOS]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/60377
Collection北京大学精神卫生研究所
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
GB/T 7714
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.
APA Zou, Qi-Hong.,Zhu, Chao-Zhe.,Yang, Yihong.,Zuo, Xi-Nian.,Long, Xiang-Yu.,...&Zang, Yu-Feng.(2008).An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: Fractional ALFF.JOURNAL OF NEUROSCIENCE METHODS,172(1),137-141.
MLA Zou, Qi-Hong,et al."An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: Fractional ALFF".JOURNAL OF NEUROSCIENCE METHODS 172.1(2008):137-141.
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