Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI.
By Yufeng Zang, Yong He, Chaozhe Zhu, Qingjiu Cao, Man-Qiu Sui, Meng Liang, Li Tian, T. Jiang, Yu-Feng Wang. Brain & development (Tokyo. 1979), 2007
2,580 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Psychiatry and Mental health
View Paper: https://www.semanticscholar.org/paper/533095dbf977399a1fb89de153b824d27e9cb7fb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Xi-Nian Zuo
- Michael P. Milham
- Yong He
- Yufeng Zang
- F. X. Castellanos
- Chaogan Yan
- Bharat B. Biswal
- Jinhui Wang
In Psychiatry and Mental health
- Bharat B. Biswal
- Michael P. Milham
- F. X. Castellanos
- Yufeng Zang
- Qiyong Gong
- A. Kelly
- Zarrar Shehzad
- Yihong Yang
Citations in the corpus
- Advances and Pitfalls in the Analysis and Interpretation of Resting-State FMRI Data (2010, neutral): “Specifi c techniques that have emerged to investigate these aspects of RSN phenomena include ‘amplitude of low frequency fl uctuations’ (ALFF) indices (Zang et al., 2007).”
- An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF. (2008, positive): “This averaged square root was taken as the ALFF (Zang et al., 2007).”
- Standardizing the intrinsic brain: Towards robust measurement of inter-individual variation in 1000 functional connectomes (2013, neutral): “1) Amplitude measures: ALFF (Zang et al., 2007) and fALFF (Zou et al.”
- Competition between functional brain networks mediates behavioral variability (2008, background): “Recent studies have demonstrated abnormalities in the default mode network in conditions including ADHD (Tian et al., 2006; Yu-Feng et al., 2006), Alzheimer’s disease (Buckner et al.”
- REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing (2011, methodology): “In the window for ALFF analysis within REST, the frequency band between 0.01 to 0.08 Hz was selected, and the individual ALFF map was generated [14].”
- The Oscillating Brain: Complex and Reliable (2009, methodology): “white matter distinctions for ALFF and fALFF measures, with low-frequency fluctuations being more detectable within gray matter (Jezzard et al., 1993; Biswal et al., 1995; Zang et al., 2007; Zou et al., 2008).”
- Functional connectivity of default mode network components: correlation, anticorrelation, and causality (2008, background): “…in individuals with autism spectrum disorders [Kennedy et al., 2006], Alzheimer’s disease [Buckner et al., 2005; Greicius et al., 2004; Wang et al., 2006], schizophrenia [Liang et al., 2006; Liu et al., 2006], and attention-deficit/ hyperactivity disorder [Tian et al., 2006; Zang et al., 2007].”
- DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging (2016, background): “Keywords: data processing; quality control; resting-state fMRI; standardization; statistical analysis”
- Impact of In-Scanner Head Motion on Multiple Measures of Functional Connectivity: Relevance for Studies of Neurodevelopment in Youth (2012, methodology): “, 2005) and power spectrum-based measures such the amplitude of low frequency fluctuation (ALFF; Zang et al., 2007) and the fractional amplitude of low frequency fluctuation (fALFF; Zou et al.”
- Amplitude of low frequency fluctuation within visual areas revealed by resting-state functional MRI (2007, methodology): “We have recently applied the amplitude of LFF (ALFF) to investigate the resting-state brain function in patients with the attention deficit hyperactivity disorder (ADHD), and it was found that, compared with the healthy control, boys with ADHD shown reduced ALFF in the prefrontal cortex and the bila”