Amplitude of low frequency fluctuation within visual areas revealed by resting-state functional MRI

By Hong Yang, Xiangyu Long, Yihong Yang, Hao Yan, Chaozhe Zhu, Xiang-ping Zhou, Yufeng Zang, Qiyong Gong. NeuroImage, 2007

598 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/3250d3a1d728a179ab88b1727798976b4ad64b1c

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Standardizing the intrinsic brain: Towards robust measurement of inter-individual variation in 1000 functional connectomes (2013, unknown): “volume, number of channels, orientation), repetition time, number f view, voxel size, slice thickness/gaps, slice prescription) (Friedman and Glover, 2006a) closed (Yan et al., 2009; Yang et al., 2007), visual displays, experiment duration”
A Correspondence between Individual Differences in the Brain's Intrinsic Functional Architecture and the Content and Form of Self-Generated Thoughts (2014, unknown): “, [24,25]).”
An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF. (2008, unknown): “This index was subsequently used to differentiate two resting states, i.e., eyes open vs. eyes closed (Yang et al., 2007).”
The Oscillating Brain: Complex and Reliable (2009, background): “rest with eyes closed) impact LFO amplitude in regions such as visual cortex (McAvoy et al., 2008; Yang et al., 2007).”
Frequency-dependent changes in the amplitude of low-frequency fluctuations in amnestic mild cognitive impairment: A resting-state fMRI study (2011, background): “…brain tissues [e.g., gray matter (GM) and white matter (WM)] (Biswal et al., 1995), between different brain regions (e.g., visual and auditory regions) (Kiviniemi et al., 2003), and between different physiological states (e.g., eyes closed vs. eyes open) (Yan et al., 2009; Yang et al., 2007).”
Clinical applications of the functional connectome (2013, unknown): “In particular, scanning with eyes open vs. closed during R-fMRI scans yields systematically different results (Ben-Simon et al., 2008; Brandt, 2006; Chen et al., 2008; Marx et al., 2004; McAvoy et al., 2008; Uludag et al., 2004; Yan et al., 2009; Yang et al., 2007; Zou et al., 2009).”
Impact of In-Scanner Head Motion on Multiple Measures of Functional Connectivity: Relevance for Studies of Neurodevelopment in Youth (2012, methodology): “…such as the amplitude of low-frequency fluctuation (ALFF) and the related fractional amplitude of low-frequency fluctuation (fALFF) represent a qualitatively different approach from either seed based analyses or ICA (Yang et al., 2007; Zou et al., 2008; Zuo et al., 2010b; Zang et al., 2007).”
ICA-based artifact removal diminishes scan site differences in multi-center resting-state fMRI (2015, background): “For example, reduced activation (Feige et al., 2005), amplitude of low frequency fluctuations (ALFF, Yang et al., 2007; Yan et al., 2009; Liu et al., 2013; Liang et al., 2014; Yuan et al., 2014) and regional homogeneity (Liu et al., 2013) have all been reported in eyesclosed relative to eyes-open…”
The Global Signal in fMRI: Nuisance or Information? (2017, unknown): “(An additional consequence of this relation is that a reduction in global signal amplitude will lead to a reduction in the mean BOLD signal amplitude and related measures, such as the amplitude of lowfrequency fluctuations (ALFF; Yang et al., 2007)).”