Cardiac and respiration-induced brain deformations in humans quantified with high-field MRI

Sloots, Jacob Jan; Biessels, Geert Jan; Zwanenburg, Jaco J.M.

doi:10.1016/j.neuroimage.2020.116581

Cited by 52 publications

(65 citation statements)

References 48 publications

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“…This may contribute to the loss of units in superficial cortex relative to deeper structures. Second, the degree of micromotion and the response of the brain to deformation and inertial forces is heterogeneous (MacManus et al, 2018;Sloots et al, 2020;Bayly et al, 2005;Budday et al, 2015;Jacobo et al, 2014). The studies that have examined this have primarily sought to explain the heterogeneous effects of traumatic brain injury, so their implications for the long-term response to a chronically implanted foreign body are unclear.…”

Section: Long-term Stability Of Neural Signalsmentioning

confidence: 99%

“…First, the long-term yield across different brain regions is unknown because prior chronic studies recorded from a small set of brain regions using test-phase probes (Juavinett et al, 2019;Jun et al, 2017). The stability of spiking signals is likely to vary across regions because the brain is not mechanically uniform, with different viscoelastic properties and levels of respirationand cardiac-related movement in different regions (Bayly et al, 2005;Budday et al, 2015;MacManus et al, 2018;Sloots et al, 2020). Direct measurements comparing the long-term stability of Neuropixels recordings across the brain are needed to determine when it is advantageous to use these probes.…”

Section: Introductionmentioning

confidence: 99%

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An approach for long-term, multi-probe Neuropixels recordings in unrestrained rats

Luo

Bondy

Gupta

et al. 2020

eLife

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The use of Neuropixels probes for chronic neural recordings is in its infancy and initial studies leave questions about long-term stability and probe reusability unaddressed. Here we demonstrate a new approach for chronic Neuropixels recordings over a period of months in freely moving rats. Our approach allows multiple probes per rat and multiple cycles of probe reuse. We found that hundreds of units could be recorded for multiple months, but that yields depended systematically on anatomical position. Explanted probes displayed a small increase in noise compared to unimplanted probes, but this was insufficient to impair future single-unit recordings. We conclude that cost-effective, multi-region, and multi-probe Neuropixels recordings can be carried out with high yields over multiple months in rats or other similarly sized animals. Our methods and observations may facilitate the standardization of chronic recording from Neuropixels probes in freely moving animals.

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Section: Long-term Stability Of Neural Signalsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An approach for long-term, multi-probe Neuropixels recordings in unrestrained rats

Luo

Bondy

Gupta

et al. 2020

eLife

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show abstract

“…The micromotion in the tissues adjacent to a silicon probe is on the order of tens of microns even during rest, due to pressure changes during respiration (Gilletti and Muthuswamy, 2006) , and is likely larger during head acceleration (Zhou et al, 2020) . Because regional differences in tissue micromotion can be observed in the human brain related to respiratory and cardiac pulsatility (Sloots et al, 2020) or related to head acceleration (Bayly et al, 2005) . It is therefore possible that inter-regional differences in the amount of tissue micromotion during breathing and head acceleration contribute to the differences in the stability of spiking signals.…”

Section: Long-term Stability Of Neural Signalsmentioning

confidence: 99%

“…First, the long-term yield across different brain regions is unknown, because prior chronic studies recorded from a small set of brain regions using test-phase probes (Juavinett et al, 2019;Jun et al, 2017) . Because the brain is not mechanically isotropic, with different viscoelastic properties and levels of respiration-and cardiac-related movement in different regions (Bayly et al, 2005;Budday et al, 2015;MacManus et al, 2018;Sloots et al, 2020) , the stability of spiking signals is likely to vary across regions.…”

Section: Introductionmentioning

confidence: 99%

An approach for long-term, multi-probe Neuropixels recordings in unrestrained rats

Luo

Bondy

Gupta

et al. 2020

Preprint

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The use of Neuropixels probes for chronic neural recordings in freely moving animals is not yet widespread. Stable chronic recording across months has been reported from a single brain area in rats, and probe re-use has been shown for mice after an implantation period of a few weeks. These initial studies raise three questions that need to be addressed for chronic recording from freely moving animals to become cost-effective and routine. First, how does long-term yield compare across different brain regions? Second, is it possible to achieve a cost-effective strategy for freely moving animals that is i) compact enough for multiple simultaneous probes to be implanted, ii) allows probe explantation and re-use, and, importantly, iii) is robust enough for stable multi-month recordings from rats (or other animals that can generate impact forces greater than those generated by mice)? Third, how does probe performance degrade after multiple cycles of implantation? Here we address these three questions, validating an approach for chronic Neuropixels recordings over a period of months, in freely moving rats performing a cognitively-demanding task. Daily recording sessions lasted up to five hours and required no human supervision. Our approach allows for implantation of multiple probes per rat and probe recovery at the end of the experiment. We found that, on average, hundreds of units can be recorded for multiple months. However, this long-term stability strongly depended on the dorsoventral and anteroposterior position in the brain, with greater stability in more anterior and ventral regions. Finally, we quantified degradation in the performance (input-referred noise) of explanted probes after each implantation and found this degradation to be insufficient to impair future single-unit recordings. We conclude that cost-effective, multi-region, and multi-probe Neuropixels recordings can be carried out with high yields over multiple months in rats or other similarly sized animals. Our methods and observations may facilitate the standardization of chronic recording from Neuropixels probes in freely moving animals.

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“…14 Recently, in a study to determine cardiac-and respiratory-induced brain deformation using a novel high-field MRI, Sloots et al determined that the heartbeat-induced volumetric strain was 3 times larger than respiratory-induced volumetric strain, which was determined using an optimal tag spacing of 0.15 mm/pi. 15 These studies have demonstrated the feasibility of DENSE MRI to quantify brain tissue displacement and strain. However, the accuracy of DENSE-measured brain tissue displacement has not been reported.…”

Section: Introductionmentioning

confidence: 97%

Accuracy of cardiac‐induced brain motion measurement using displacement‐encoding with stimulated echoes (DENSE) magnetic resonance imaging (MRI): A phantom study

Nwotchouang

Eppelheimer

Biswas

et al. 2020

Magnetic Resonance in Med

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The goal of this study was to determine the accuracy of displacementencoding with stimulated echoes (DENSE) MRI in a tissue motion phantom with displacements representative of those observed in human brain tissue. Methods: The phantom was comprised of a plastic shaft rotated at a constant speed. The rotational motion was converted to a vertical displacement through a camshaft. The phantom generated repeatable cyclical displacement waveforms with a peak displacement ranging from 92 µm to 1.04 mm at 1-Hz frequency. The surface displacement of the tissue was obtained using a laser Doppler vibrometer (LDV) before and after the DENSE MRI scans to check for repeatability. The accuracy of DENSE MRI displacement was assessed by comparing the laser Doppler vibrometer and DENSE MRI waveforms. Results: Laser Doppler vibrometer measurements of the tissue motion demonstrated excellent cycle-to-cycle repeatability with a maximum root mean square error of 9 µm between the ensemble-averaged displacement waveform and the individual waveforms over 180 cycles. The maximum difference between DENSE MRI and the laser Doppler vibrometer waveforms ranged from 15 to 50 µm. Additionally, the peak-to-peak difference between the 2 waveforms ranged from 1 to 18 µm. Conclusion: Using a tissue phantom undergoing cyclical motion, we demonstrated the percent accuracy of DENSE MRI to measure displacement similar to that observed for in vivo cardiac-induced brain tissue.

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Cardiac and respiration-induced brain deformations in humans quantified with high-field MRI

Cited by 52 publications

References 48 publications

An approach for long-term, multi-probe Neuropixels recordings in unrestrained rats

An approach for long-term, multi-probe Neuropixels recordings in unrestrained rats

An approach for long-term, multi-probe Neuropixels recordings in unrestrained rats

Accuracy of cardiac‐induced brain motion measurement using displacement‐encoding with stimulated echoes (DENSE) magnetic resonance imaging (MRI): A phantom study

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