Functional ultrasound brain imaging: Bridging networks, neurons, and behavior

Edelman, Bradley J.; Macé, Émilie

doi:10.1016/j.cobme.2021.100286

Cited by 17 publications

(14 citation statements)

References 62 publications

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“…Functional ultrasound imaging uses the Doppler intensity as an estimator of the cerebral blood volume (rCBV) ( Macé et al, 2011 , 2013 ; Brunner et al, 2021 ; Edelman and Macé, 2021 ) without considering the Doppler spectrum, and thus velocity changes, to be independent of the heterogenous profile of vessel distributions in brain voxels. However, by modeling the ultrasound spectrum of the small vessels as a laminar flow and considering the high-pass filter, we allow the absolute quantification of the mean red blood cell velocity (RBCv) in cortical microvessels.…”

Section: Discussionmentioning

confidence: 99%

Quantitative Hemodynamic Measurements in Cortical Vessels Using Functional Ultrasound Imaging

et al. 2022

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Red blood cell velocity (RBCv), cerebral blood flow (CBF), and volume (CBV) are three key parameters when describing brain hemodynamics. Functional ultrasound imaging is a Doppler-based method allowing for real-time measurement of relative CBV at high spatiotemporal resolution (100 × 110 × 300 μm3, up to 10 Hz) and large scale. Nevertheless, the measure of RBCv and CBF in small cortical vessels with functional ultrasound imaging remains challenging because of their orientation and size, which impairs the ability to perform precise measurements. We designed a directional flow filter to overpass these limitations allowing us to measure RBCv in single vessels using a standard functional ultrasound imaging system without contrast agents (e.g., microbubbles). This method allows to quickly extract the number of vessels in the cortex that was estimated to be approximately 650/cm3 in adult rats, with a 55–45% ratio for penetrating arterioles versus ascending venules. Then, we analyzed the changes in RBCv in these vessels during forepaw stimulation. We observed that ∼40 vessels located in the primary somatosensory forelimb cortex display a significant increase of the RBCv (median ΔRBCv ∼15%, maximal ΔRBCv ∼60%). As expected, we show that RBCv was higher for penetrating arterioles located in the center than in the periphery of the activated area. The proposed approach extends the capabilities of functional ultrasound imaging, which may contribute to a better understanding of the neurovascular coupling at the brain-wide scale.

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Section: Discussionmentioning

confidence: 99%

Quantitative Hemodynamic Measurements in Cortical Vessels Using Functional Ultrasound Imaging

et al. 2022

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“…Functional ultrasound imaging (fUSI) is an appealing method for studying brain function because it estimates changes in the cerebral blood volume with high resolution, resolving spatial features $100 mm in size to a depth of $2 cm (Deffieux et al, 2018;Edelman and Mace ´, 2021;Mace ´et al, 2011;Rabut et al, 2020). It is thus used to study how the activity of brain regions depends on sensory stimuli, internal state, and behavior in species ranging from mice (Aydin et al, 2020;Boido et al, 2019;Brunner et al, 2020;Ferrier et al, 2020;Koekkoek et al, 2018;Mace ét al., 2018;Sans-Dublanc et al, 2021) to rats (Bergel et al, 2018(Bergel et al, , 2020Gesnik et al, 2017;Mace ´et al, 2011;Osmanski et al, 2014;Provansal et al, 2021;Rahal et al, 2020;Sieu et al, 2015;Urban et al, 2015), to marmosets (Zhang et al, 2021), ferrets (Bimbard et al, 2018), and macaques (Blaize et al, 2020;Dizeux et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Neural correlates of blood flow measured by ultrasound

Núñez-Elizalde

Krumin

Reddy

et al. 2022

Neuron

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“…Overcoming these limitations, functional ultrasound imaging (fUSI) is a breakthrough technology combining large depth of field, high spatiotemporal resolution and affordability 8,12 . fUSI tracks hemodynamic changes in small vessels at several frames per second using ultrafast plane-wave illumination of the tissue 13–15 .…”

Section: Introductionmentioning

confidence: 99%

“…However, in a preclinical context, the spatiotemporal resolution of this technique is limited and the required infrastructure make it expensive while implementing complex behavioral paradigms is challenging 8,11 . Overcoming these limitations, functional ultrasound imaging (fUSI) is a breakthrough technology combining large depth of field, high spatiotemporal resolution and affordability 8,12 . fUSI tracks hemodynamic changes in small vessels at several frames per second using ultrafast plane-wave illumination of the tissue [13][14][15] .…”

Section: Introductionmentioning

confidence: 99%

A deep learning classification task for brain navigation during functional ultrasound imaging

Lambert

Brunner

Kil

et al. 2022

Preprint

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Functional ultrasound imaging is a breakthrough technology for imaging brain activity at high spatiotemporal resolution. As it monitors hemodynamic activity, the resulting images are a non-standard representation of local anatomy. This leads to difficulties when determining the exact anatomical location of the recorded image, which is necessary for correctly interpreting the data. Here we propose a convolutional neural network-based framework for accurately navigating the brain during functional ultrasound imaging solely based on vascular landmarks. Our approach uses an image classification task to identify a suitable set of reference positions, from which the anatomical position of an image can be inferred with a precision of 102 ± 98 μm. Further analysis revealed that the predictions are driven by deep brain areas. The robustness of our approach was validated using an ischemic stroke model. It confirms that functional ultrasound imaging information is sufficient for positioning even when local blood flow is disrupted, as observed in many brain pathologies.

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Functional ultrasound brain imaging: Bridging networks, neurons, and behavior

Cited by 17 publications

References 62 publications

Quantitative Hemodynamic Measurements in Cortical Vessels Using Functional Ultrasound Imaging

Quantitative Hemodynamic Measurements in Cortical Vessels Using Functional Ultrasound Imaging

Neural correlates of blood flow measured by ultrasound

A deep learning classification task for brain navigation during functional ultrasound imaging

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