Interpretation of near-infrared spectroscopy signals: a study with a newly developed perfused rat brain model.
By Yoko Hoshi, N. Kobayashi, M. Tamura. Journal of applied physiology, 2001
865 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Neurology, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/ca54ab8f4de38cb9d1a281e3fb205f0ccf761c5e
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
- Clare E. Elwell
- David A. Boas
- Maria Angela Franceschini
- A. M. Dale
- Kazuo Hiraki
- Sotaro Shimada
- Yoko Hoshi
- Daniel Richard Leff
In Neurology
In Radiology, Nuclear Medicine and Imaging
- Clare E. Elwell
- David A. Boas
- Maria Angela Franceschini
- A. M. Dale
- Kazuo Hiraki
- Sotaro Shimada
- Yoko Hoshi
- Guang-Zhong Yang
Citations in the corpus
- Infant's brain responses to live and televised action (2006, methodology): “Although each NIRS parameter was analyzed, we mainly report here the results of oxy-Hb because we consider that oxy-Hb is the most sensitive parameter of hemodynamic responses (Hoshi et al., 2001; Strangman et al., 2002; but see Schroeter et al., 2004a).”
- Neuroimaging-aided differential diagnosis of the depressive state (2014, neutral): “…reflect task-related cortical activation more directly than do decreases in [deoxy-Hb], as evidenced by the stronger correlation between the former and the blood oxygenation leveldependent signal measured by fMRI (Strangman et al., 2002b) and by the results of animal studies (Hoshi et al., 2001).”
- Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy. (2004, background): “In some publications , better temporal correlation between oxyhemoglobin and BOLD has been reported (Hoshi et al., 2001; Strangman et al., 2002), while others (MacIntosh et al., 2003; Siegel et al., 2003; Toronov et al., 2001) have shown better correlation between BOLD and deoxyhemoglobin.”
- Statistical analysis of fNIRS data: A comprehensive review (2014, neutral): “Hence, various statistical analysis methods such as t-test or analysis of variance (ANOVA) have been applied (Germon et al., 1994; Hoshi et al., 2001, 2003; Isobe et al., 2001; Kleinschmidt et al., 1996; Mehagnoul-Schipper et al., 2002; Okamoto et al., 2004; Tsujimoto et al., 2004; Young et al.,…”
- Functional near-infrared spectroscopy: current status and future prospects. (2007, background): “effects of each change in CBF and CMRO2 on cerebral hemoglobin oxygenation to interpret NIRS signals.(24) We confirmed that the directions of changes in oxy-Hb are always the same as those of rCBF, whereas the direction of changes in deoxy-Hb is determined by changes in venous blood oxygenation and ”
- Influence of skin blood flow on near-infrared spectroscopy signals measured on the forehead during a verbal fluency task (2011, positive): “In the present study, we examinedΔoxyHb, which reflects the blood flowmore directly than ΔdeoxyHb (Hoshi et al., 2001).”
- Role of the prefrontal cortex in human balance control (2008, positive): “…nature of the fNIRS signals is still unknown and its interpretation is under debate (Tomita, 2006; Tomita et al., 2006), previous in vivo experiments supported that these signals reflected activation response of the cortical region beneath the optodes (Hoshi et al., 1997; Hoshi et al., 2001).”
- Assessment of the cerebral cortex during motor task behaviours in adults: A systematic review of functional near infrared spectroscopy (fNIRS) studies (2011, result): “These results are supported by fNIRS studies using animal brain models, which have proposed thatHbO2 is themore sensitive parameter (Hoshi et al., 2001).”