Comparing hand movement rate dependence of cerebral blood volume and BOLD responses at 7T

Oliveira, Ícaro A.F.; Zwaag, Wietske van der; Raimondo, Luisa; Dumoulin, Serge O.; Siero, Jeroen C.W.

doi:10.1016/j.neuroimage.2020.117623

Cited by 8 publications

(8 citation statements)

References 54 publications

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“…In addition, our results also showed a secondary representation of the index and thumb, positioned superior to the little finger representations (seen for participants P02-P05), as previously found by (Huber et al 2020). The VASO-CBV responses are smaller in amplitude and cluster size than the BOLD responses, as also reported previously in different VASO-CBV-BOLD comparisons (Huber et al 2020(Huber et al , 2017Oliveira et al 2022Oliveira et al , 2021.…”

Section: Discussionsupporting

confidence: 89%

“…The Slice Selective Slab Inversion VASO with 3D EPI readout (Huber et al 2014 ; Oliveira et al 2021 ) was implemented on a 7 T MRI scanner (Philips Healthcare, Best, The Netherlands) using an eight-channel transmit coil and a 32 channel receive coil (Nova Medical Inc, Wilmington, United States) with B1 shim settings from a previous study (Oliveira et al 2021 ). In addition, an adiabatic inversion TR-FOCI pulse was used to ensure an effective inversion with reduced B1 + inhomogeneity (Hurley et al 2010 ).…”

Section: Methodsmentioning

confidence: 99%

“…The fine-scaled digit representation maps in the somatosensory cortex will likely benefit significantly from more spatially specific measurements. Here, we simultaneously measured VASO-CBV and BOLD responses at sub-millimeter resolution using a double 3D-EPI VASO sequence (Huber et al 2014 ; Oliveira et al 2021 ) during the execution of individual finger movements using block-designed stimuli. We hypothesize that the higher specificity of VASO-CBV images will result in higher response selectivity due to reduced vascular signal contributions.…”

Section: Introductionmentioning

confidence: 99%

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Improved Selectivity in 7 T Digit Mapping Using VASO-CBV

Oliveira

Siero²,

Dumoulin³

et al. 2022

Brain Topogr

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Functional magnetic resonance imaging (fMRI) at Ultra-high field (UHF, ≥ 7 T) benefits from significant gains in the BOLD contrast-to-noise ratio (CNR) and temporal signal-to-noise ratio (tSNR) compared to conventional field strengths (3 T). Although these improvements enabled researchers to study the human brain to unprecedented spatial resolution, the blood pooling effect reduces the spatial specificity of the widely-used gradient-echo BOLD acquisitions. In this context, vascular space occupancy (VASO-CBV) imaging may be advantageous since it is proposed to have a higher spatial specificity than BOLD. We hypothesized that the assumed higher specificity of VASO-CBV imaging would translate to reduced overlap in fine-scale digit representation maps compared to BOLD-based digit maps. We used sub-millimeter resolution VASO fMRI at 7 T to map VASO-CBV and BOLD responses simultaneously in the motor and somatosensory cortices during individual finger movement tasks. We assessed the cortical overlap in different ways, first by calculating similarity coefficient metrics (DICE and Jaccard) and second by calculating selectivity measures. In addition, we demonstrate a consistent topographical organization of the targeted digit representations (thumb-index-little finger) in the motor areas. We show that the VASO-CBV responses yielded less overlap between the digit clusters than BOLD, and other selectivity measures were higher for VASO-CBV too. In summary, these results were consistent across metrics and participants, confirming the higher spatial specificity of VASO-CBV compared to BOLD.

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Section: Discussionsupporting

confidence: 89%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Improved Selectivity in 7 T Digit Mapping Using VASO-CBV

Oliveira

Siero²,

Dumoulin³

et al. 2022

Brain Topogr

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“…As exemplified in this work using changes in CBV, the impact of each parameter on the resulting laminar profiles can be assessed individually, to then inform the choice of acquisition, potential vascular biases, and the need for auxiliary information. Next, the vascular anatomical model can be extended to other cortical areas characterized by different vascular properties such as primary motor cortex (Huber et al, 2017a;Oliveira et al, 2021a), primary somatosensory cortex (Shih et al, 2013;Silva and Koretsky, 2002), dorsolateral-prefrontal cortex (Finn et al, 2019), which are currently under active investigation using laminar fMRI to help to understand the vascular and neural signal contributions. In addition, the potential of higher spatial resolution can be explored with the model.…”

Section: Discussionmentioning

confidence: 99%

“…A non-invasive method for CBV imaging is vascular-space-occupancy (VASO) (Lu et al, 2003), which takes advantage of the difference in blood and tissue 𝑇𝑇 1 to image the tissue signal while the blood signal is nulled (Huber et al, 2014b;Lu et al, 2003). Since the development of this contrast and its translation to 7 Tesla (T), several studies in animals and humans have been conducted in the areas of method development (Beckett et al, 2019;Chai et al, 2019;Huber et al, 2015;Huber et al, 2016;Yu et al, 2014), analysis strategies (Huber et al, 2021;Polimeni et al, 2018), and applications to cognitive neuroscience (Finn et al, 2019;Huber et al, 2014a;Huber et al, 2017a;Kashyap et al, 2018;Oliveira et al, 2021b;Van Kerkoerle et al, 2017). However, to interpret the experimental results and account for both neural and vascular contributions to the fMRI signal, detailed models are required (Buxton et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Modelling the depth-dependent VASO and BOLD responses in human primary visual cortex

Akbari

Bollmann

et al. 2021

Preprint

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Functional magnetic resonance imaging (fMRI) using blood-oxygenation-level-dependent (BOLD) contrast is a common method for studying human brain function non-invasively. Gradient-echo (GRE) BOLD is highly sensitive to the blood oxygenation change in blood vessels; however, the signal specificity can be degraded due to signal leakage from the activated lower layers to the superficial layers in depth-dependent (also called laminar or layer-specific) fMRI. Alternatively, physiological variables such as cerebral blood volume using VAscular-Space-Occupancy (VASO) measurements have shown higher spatial specificity compared to BOLD. To better understand the physiological mechanisms (e.g., blood volume and oxygenation change) and to interpret the measured depth-dependent responses we need models that reflect vascular properties at this scale. For this purpose, we adapted a cortical vascular model previously developed to predict the layer-specific BOLD signal change in human primary visual cortex to also predict layer-specific VASO response. To evaluate the model, we compared the predictions with experimental results of simultaneous VASO and BOLD measurements in a group of healthy participants. Fitting the model to our experimental findings provided an estimate of CBV change in different vascular compartments upon neural activity. We found that stimulus-evoked CBV changes mainly occur in intracortical arteries as well as small arterioles and capillaries and that the contribution from venules is small for a long stimulus (~30 sec). Our results confirm the notion that VASO contrast is less susceptible to large vessel effects compared to BOLD.

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Modelling the depth‐dependent VASO and BOLD responses in human primary visual cortex

Akbari

Bollmann

Ali

et al. 2022

Human Brain Mapping

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Functional magnetic resonance imaging (fMRI) using a blood‐oxygenation‐level‐dependent (BOLD) contrast is a common method for studying human brain function noninvasively. Gradient‐echo (GRE) BOLD is highly sensitive to the blood oxygenation change in blood vessels; however, the spatial signal specificity can be degraded due to signal leakage from activated lower layers to superficial layers in depth‐dependent (also called laminar or layer‐specific) fMRI. Alternatively, physiological variables such as cerebral blood volume using the VAscular‐Space‐Occupancy (VASO) contrast have shown higher spatial specificity compared to BOLD. To better understand the physiological mechanisms such as blood volume and oxygenation changes and to interpret the measured depth‐dependent responses, models are needed which reflect vascular properties at this scale. For this purpose, we extended and modified the “cortical vascular model” previously developed to predict layer‐specific BOLD signal changes in human primary visual cortex to also predict a layer‐specific VASO response. To evaluate the model, we compared the predictions with experimental results of simultaneous VASO and BOLD measurements in a group of healthy participants. Fitting the model to our experimental data provided an estimate of CBV change in different vascular compartments upon neural activity. We found that stimulus‐evoked CBV change mainly occurs in small arterioles, capillaries, and intracortical arteries and that the contribution from venules and ICVs is smaller. Our results confirm that VASO is less susceptible to large vessel effects compared to BOLD, as blood volume changes in intracortical arteries did not substantially affect the resulting depth‐dependent VASO profiles, whereas depth‐dependent BOLD profiles showed a bias towards signal contributions from intracortical veins.

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Comparing hand movement rate dependence of cerebral blood volume and BOLD responses at 7T

Cited by 8 publications

References 54 publications

Improved Selectivity in 7 T Digit Mapping Using VASO-CBV

Improved Selectivity in 7 T Digit Mapping Using VASO-CBV

Modelling the depth-dependent VASO and BOLD responses in human primary visual cortex

Modelling the depth‐dependent VASO and BOLD responses in human primary visual cortex

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