Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy.

By David A. Boas, A. M. Dale, Maria Angela Franceschini. NeuroImage, 2004

764 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Surgery

View Paper: https://www.semanticscholar.org/paper/cefcdacd42949ca687cb7e55d5311b6e6cfeeb44

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Citations in the corpus

The physiological origin of task-evoked systemic artefacts in functional near infrared spectroscopy (2012, background): “Although task-evoked superficial signals were also reported on the occipital lobe (Boas et al., 2004; Minati et al., 2011) and in the motor area (Franceschini et al., 2006), there might be several reasons why the task-evoked haemodynamics in the forehead skin have stronger effects on fNIRS…”
HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain. (2009, background): “This can give rise to cross-talk errors in the separation of oxyhemoglobin and deoxyhemoglobin estimates [3,86,92] and may be minimized by an optimal choice of wavelength pairs as discussed in [3,86,93].”
A Wearable Multi-Channel fNIRS System for Brain Imaging in Freely Moving Subjects (2013, methodology): “…in the raw data based on a simple stability criterion, the HbO 2 signal is much more sensitive to the physiological artifacts of the cardiac modulations caused by strenuous physical exercise (Boas et al., 2004; Huppert et al., 2009; Kirilina et al., 2012; Leff et al., 2011; Zhang et al., 2005).”
Statistical analysis of fNIRS data: A comprehensive review (2014, neutral): “…the optical density changes in a scattering medium can be derived from the photon diffusion equation using the Rytov approximation (Arridge, 1999; Boas et al., 2002, 2004; Ye et al., 2009): ΔOD r s ; r d ; λ; t ð Þ ¼ − ln Φ r s ; r d ; λ; t ð Þ Φ 0 r s ; r d ; λ; t ð Þ ≈∫ Φ 0 r s ; r; λ ð Þ Φ 0…”
Illuminating the developing brain: the past, present and future of functional near infrared spectroscopy. (2010, background): “Several studies have suggested paired wavelengths of approximately 690nm and 830nm are optimal (Yamashita et al,. 2001, Strangman et al., 2003, Boas et al., 2004 and Sato et al., 2004).”
A temporal comparison of BOLD, ASL, and NIRS hemodynamic responses to motor stimuli in adult humans (2006, methodology): “, 2003) as well as the use of tomographic probe geometries to give more uniform spatial sensitivities (Boas et al., 2004) will likely further reduce this partial volume variance, improving such amplitude comparisons.”
fNIRS-based brain-computer interfaces: a review (2015, background): “…light (usually of 650 ∼ 1000 nm wavelength) to measure the concentration changes of oxygenated hemoglobin (HbO) and deoxygenated hemoglobin (HbR) (Villringer et al., 1993; Hoshi et al., 1994; Hoshi and Tamura, 1997; Villringer and Chance, 1997; Boas et al., 2004a,b; Hong and Nguyen, 2014).”
The NIRS Brain AnalyzIR Toolbox (2018, background): “FNIRS is limited to the outer cortex of the brain (roughly 5–8 mm of the brain’s surface) [4], but this sensitivity also varies according to subject anatomy.”
Recent advances in diffuse optical imaging (2005, background): “Furthermore, such an approach allows multiple topographic measurements to contribute to each pixel, which can yield a twofold improvement in spatial resolution and localization accuracy (Boas et al 2004a, 2004b).”
NIRS-SPM: statistical parametric mapping for near infrared spectroscopy (2008, neutral): “While several promising DOT reconstruction techniques have been demonstrated for brain imaging (Boas et al., 2004), most often require a priori knowledge of the optical parameters for the detailed anatomical structure of brain, and the imaging problem is a significant problem due to the limited amou”
Short separation channel location impacts the performance of short channel regression in NIRS (2011, methodology): “For each baseline measurement, the changes in optical density were converted to changes in hemoglobin concentrations using the modified Beer-Lambert relationship (Cope and Deply, 1998; Deply et al., 1988; Boas et al., 2004).”