Exploring the false discovery rate in multichannel NIRS
By Archana K. Singh, Ippeita Dan. NeuroImage, 2006
377 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/66f31c5781e8d77139bde2d30cde4b4a8c925ae6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Daisuke Tsuzuki
- Sungho Tak
- Jong Chul Ye
- Ippeita Dan
- Hideaki Soya
- Morimasa Kato
- Masako Okamoto
- Hiroki Yanagisawa
In Cognitive Neuroscience
- Daisuke Tsuzuki
- Jong Chul Ye
- Sungho Tak
- Ippeita Dan
- Masako Okamoto
- Hideaki Soya
- Morimasa Kato
- Hiroki Yanagisawa
In Radiology, Nuclear Medicine and Imaging
- Daisuke Tsuzuki
- Sungho Tak
- Jong Chul Ye
- Ippeita Dan
- Hideaki Soya
- Morimasa Kato
- Masako Okamoto
- Hiroki Yanagisawa
Citations in the corpus
- Acute moderate exercise elicits increased dorsolateral prefrontal activation and improves cognitive performance with Stroop test (2010, methodology): “When the number of hypotheses was above the degree of freedom, as in multiple channel measurements, we used a false discovery rate (FDR) control (Singh and Dan, 2006 ).”
- Illuminating the developing brain: the past, present and future of functional near infrared spectroscopy. (2010, background): “With the incorporation of higher density arrays of sources and detectors, corrections for spatial correlation between closely placed measurement points have also been incorporated (Singh and Dan, 2006).”
- Optical brain monitoring for operator training and mental workload assessment (2012, positive): “As in Study 1, False Discovery Rate (FDR) approach was used for multiple comparison correction (Benjamini and Hochberg, 1995; Singh and Dan, 2006).”
- Role of the prefrontal cortex in human balance control (2008, positive): “To adjust the multiple testing, correction for controlling type I errors by the false discovery rate was applied (Benjamini and Hochberg, 1995; Singh and Dan, 2006).”
- Statistical analysis of fNIRS data: A comprehensive review (2014, positive): “…to analyze the fNIRS data, and numerous authors have employed GLM analysis for a variety of fNIRS experiments (Abdelnour and Huppert, 2009; Custo et al., 2010; Koh et al., 2007; Minagawa-Kawai et al., 2011; Plichta et al., 2006, 2007; Shimada and Hiraki, 2006; Singh and Dan, 2006; Ye et al., 2009).”