Spatial Frequency Domain Imaging of Intrinsic Optical Property Contrast in a Mouse Model of Alzheimer’s Disease

Lin, Alexander; Koike, Maya A.; Green, Kim N.; Kim, Jae Gwan; Mazhar, Amaan; Rice, Tyler B.; LaFerla, Frank M.; Tromberg, Bruce J.

doi:10.1007/s10439-011-0269-6

Cited by 73 publications

(62 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…52 SFDI penetration depth is also applicable to preclinical models of brain injury, 103 stroke, 104 cortical spreading depression, 105 and Alzheimer's disease (AD). 106 It is also capable of providing 3D tomographic reconstruction, 51,53,107 and fluorescence imaging. 54 …”

Section: Sfdi Applicationsmentioning

confidence: 99%

Diffuse optical imaging using spatially and temporally modulated light

O’Sullivan¹,

et al. 2012

Self Cite

View full text Add to dashboard Cite

Abstract. The authors describe the development of diffuse optical imaging (DOI) technologies, specifically the use of spatial and temporal modulation to control near infrared light propagation in thick tissues. We present theory and methods of DOI focusing on model-based techniques for quantitative, in vivo measurements of endogenous tissue absorption and scattering properties. We specifically emphasize the common conceptual framework of the scalar photon density wave for both temporal and spatial frequency-domain approaches. After presenting the history, theoretical foundation, and instrumentation related to these methods, we provide a brief review of clinical and preclinical applications from our research as well as our outlook on the future of DOI technology.

show abstract

Section: Sfdi Applicationsmentioning

confidence: 99%

Diffuse optical imaging using spatially and temporally modulated light

O’Sullivan¹,

et al. 2012

Self Cite

View full text Add to dashboard Cite

show abstract

“…7 SFDI has also been used for characterizing brain in small animal models of stroke, 8 glioblastoma, 9 and Alzheimer's disease. 10 In each example, multispectral maps of tissue scattering are separately constructed from tissue absorption. This allows formation of chromophore images such as oxyhemoglobin (HbO 2 ), deoxy-hemoglobin (Hb), lipid, and water using the Beer-Lambert law.…”

Section: Introductionmentioning

confidence: 99%

Visible spatial frequency domain imaging with a digital light microprojector

et al. 2013

Self Cite

View full text Add to dashboard Cite

Abstract. There is a need for cost effective, quantitative tissue spectroscopy and imaging systems in clinical diagnostics and pre-clinical biomedical research. A platform that utilizes a commercially available light-emitting diode (LED) based projector, cameras, and scaled Monte Carlo model for calculating tissue optical properties is presented. These components are put together to perform spatial frequency domain imaging (SFDI), a model-based reflectance technique that measures and maps absorption coefficients (μ a ) and reduced scattering coefficients (μ 0 s ) in thick tissue such as skin or brain. We validate the performance of the flexible LED and modulation element (FLaME) system at 460, 530, and 632 nm across a range of physiologically relevant μ a values (0.07 to 1.5 mm −1 ) in tissue-simulating intralipid phantoms, showing an overall accuracy within 11% of spectrophotometer values for μ a and 3% for μ 0 s . Comparison of oxy-and total hemoglobin fits between the FLaME system and a spectrophotometer (450 to 1000 nm) is differed by 3%. Finally, we acquire optical property maps of a mouse brain in vivo with and without an overlying saline well. These results demonstrate the potential of FLaME to perform tissue optical property mapping in visible spectral regions and highlight how the optical clearing effect of saline is correlated to a decrease in μ 0 s of the skull. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

show abstract

“…These results of lower THb and HbO 2 in the 3xTg-AD mice are in agreement with our previous measurements using NIR wavelengths. 14,15 This likely reflects decreased blood vessel density and volume in 3xTg-AD mice 38 compared to age-matched control mice, as we have shown previously. 15 Compared to controls, μ 0 s averaged 14% higher in the 3xTg-AD mice, but the difference was not significant [ Table 1 and Fig.…”

Section: Discussionmentioning

confidence: 52%

“…In the triple transgenic APP/PS1/tau (3xTg-AD) mouse model 13 of AD, our previous work demonstrated significant differences in baseline absorption and scattering properties at near-infrared (NIR) wavelengths (650 to 970 nm) as well as magnitude differences in brain oxygenation after inhaledhyperoxia. 14 The 3xTg-AD mice developed accelerated vascular pathology as toxic amyloid and tau proteins accumulated in the brain. 15 Others observed changes in NVC in a CAA mouse model with laser speckle imaging.…”

Section: Introductionmentioning

confidence: 99%

“…However, we demonstrated that the baseline optical properties of AD and control mice are significantly different. 14,15,19 Hence, we postulate that the use of assumed baseline optical properties may lead to errors in calculating changes in hemoglobin concentrations, especially when models of cerebrovascular disease are used. The objectives of this study are twofold: (1) to compare hemodynamic response to evoked stimuli in 3xTg-AD and control mice and (2) to compare the evoked responses in mice when using commonly assumed baseline optical properties versus directly measured optical properties in the MBLL calculation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Differential pathlength factor informs evoked stimulus response in a mouse model of Alzheimer’s disease

et al. 2015

Self Cite

View full text Add to dashboard Cite

Abstract. Baseline optical properties are typically assumed in calculating the differential pathlength factor (DPF) of mouse brains, a value used in the modified Beer-Lambert law to characterize an evoked stimulus response. We used spatial frequency domain imaging to measure in vivo baseline optical properties in 20-month-old control (n ¼ 8) and triple transgenic APP/PS1/tau (3xTg-AD) (n ¼ 5) mouse brains. Average μ a for control and 3xTg-AD mice was 0.82 AE 0.05 and 0.65 AE 0.05 mm −1 , respectively, at 460 nm; and 0.71 AE 0.04 and 0.55 AE 0.04 mm −1 , respectively, at 530 nm. Average μ 0 s for control and 3xTg-AD mice was 1.5 AE 0.1 and 1.7 AE 0.1 mm −1 , respectively, at 460 nm; and 1.3 AE 0.1 and 1.5 AE 0.1 mm −1 , respectively, at 530 nm. The calculated DPF for control and 3xTg-AD mice was 0.58 AE 0.04 and 0.64 AE 0.04 OD mm, respectively, at 460 nm; and 0.66 AE 0.03 and 0.73 AE 0.05 OD mm, respectively, at 530 nm. In hindpaw stimulation experiments, the hemodynamic increase in brain tissue concentration of oxyhemoglobin was threefold larger and two times longer in the control mice compared to 3xTg-AD mice. Furthermore, the washout of deoxyhemoglobin from increased brain perfusion was seven times larger in controls compared to 3xTg-AD mice (p < 0.05).

show abstract

Spatial Frequency Domain Imaging of Intrinsic Optical Property Contrast in a Mouse Model of Alzheimer’s Disease

Cited by 73 publications

References 43 publications

Diffuse optical imaging using spatially and temporally modulated light

Diffuse optical imaging using spatially and temporally modulated light

Visible spatial frequency domain imaging with a digital light microprojector

Differential pathlength factor informs evoked stimulus response in a mouse model of Alzheimer’s disease

Contact Info

Product

Resources

About