2012
DOI: 10.1016/j.neuroimage.2012.04.009
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Quantitative estimates of stimulation-induced perfusion response using two-photon fluorescence microscopy of cortical microvascular networks

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Cited by 15 publications
(14 citation statements)
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“…Our estimations of MTT during resting state were 0.81 AE 0.27 s, much faster than 1.6 AE 0.3 to 2.8 AE 0.2 s, as shown previously. [16][17][18]30 This distinction might result from potential differences between species, as most of the previous measurements were performed in rats. 31 However, we need to note that previous data showed no difference in capillary hemodynamics between species.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Our estimations of MTT during resting state were 0.81 AE 0.27 s, much faster than 1.6 AE 0.3 to 2.8 AE 0.2 s, as shown previously. [16][17][18]30 This distinction might result from potential differences between species, as most of the previous measurements were performed in rats. 31 However, we need to note that previous data showed no difference in capillary hemodynamics between species.…”
Section: Discussionmentioning
confidence: 99%
“…15 Bolus tracking techniques have previously been used to estimate MTT in the microvasculature, based on high spatial resolution two-photon microscopy (TPM) data acquired during the passage of a fluorescent dye. [16][17][18] In those studies, MTT was estimated from the time difference between the arterial CTC and the venous CTC (referred to as the venous output function (VOF)) during hypercapnia 16 and functional activation. 17 As an alternative approach, time to peak (TTP) was determined across the vasculature by fitting vessel's CTC to a second-order-plus-dead-time model (SOPDT).…”
Section: Introductionmentioning
confidence: 99%
“…The signal peaked first in the artery, then in capillaries, and lastly in the veins (Figure 3 lateral FOV and limited light penetration depth relative to the extent of mouse cortical cerebrovascular network, it is frequently not possible to ascertain whether a given pair of vessels are closely connected, precluding assessment of the effects of the vessel's branching order on the transit time. 86 Flow was estimated by inverse slope of Deming regression to hypercapnic versus normocapnic TTP data across all vessels (since no vesseltype effects were found), as shown in Figure 4. (Deming regression 87 minimizes the sum of distances in both the x and y, appropriate presently in light of errors on TTP estimates both during air breathing and during hypercapnia.)…”
Section: Attenuation Of Blood Flow Response To Hypercapnia After Volumentioning
confidence: 99%
“…mean) (Chinta et al, 2012;Lindvere et al, 2013, Yang, 2013Handfield et al, 2015). mean) (Chinta et al, 2012;Lindvere et al, 2013, Yang, 2013Handfield et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…The application of more detailed statistical models to quantitative immunofluorescence data may provide more powerful and accurate characterisation of the effects of interventions compared to the more commonly used analysis of point estimates of central tendency (e.g. mean) (Chinta et al, 2012;Lindvere et al, 2013, Yang, 2013Handfield et al, 2015). An underutilised feature of immunofluorescence microscopy data is that the experimental designs used naturally generate hierarchical data that can be leveraged to improve statistical analysis (Park et al, 2013;Vallmitjana et al, 2013).…”
Section: Introductionmentioning
confidence: 99%