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Su X, Wang Y, Chu H, Jiang L, Yan Y, Qiao X, Yu J, Guo K, Zong Y, Wan M. Low-rank prior-based Fast-RPCA for clutter filtering and noise suppression in non-contrast ultrasound microvascular imaging. ULTRASONICS 2024; 142:107379. [PMID: 38981172 DOI: 10.1016/j.ultras.2024.107379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 05/21/2024] [Accepted: 06/07/2024] [Indexed: 07/11/2024]
Abstract
Accurate and real-time separation of blood signal from clutter and noise signals is a critical step in clinical non-contrast ultrasound microvascular imaging. Despite the widespread adoption of singular value decomposition (SVD) and robust principal component analysis (RPCA) for clutter filtering and noise suppression, the SVD's sensitivity to threshold selection, along with the RPCA's limitations in undersampling conditions and heavy computational burden often result in suboptimal performance in complex clinical applications. To address those challenges, this study presents a novel low-rank prior-based fast RPCA (LP-fRPCA) approach to enhance the adaptability and robustness of clutter filtering and noise suppression with reduced computational cost. A low-rank prior constraint is integrated into the non-convex RPCA model to achieve a robust and efficient approximation of clutter subspace, while an accelerated alternating projection iterative algorithm is developed to improve convergence speed and computational efficiency. The performance of the LP-fRPCA method was evaluated against SVD with a tissue/blood threshold (SVD1), SVD with both tissue/blood and blood/noise thresholds (SVD2), and the classical RPCA based on the alternating direction method of multipliers algorithm through phantom and in vivo non-contrast experiments on rabbit kidneys. In the slow flow phantom experiment of 0.2 mm/s, LP-fRPCA achieved an average increase in contrast ratio (CR) of 10.68 dB, 9.37 dB, and 8.66 dB compared to SVD1, SVD2, and RPCA, respectively. In the in vivo rabbit kidney experiment, the power Doppler results demonstrate that the LP-fRPCA method achieved a superior balance in the trade-off between insufficient clutter filtering and excessive suppression of blood flow. Additionally, LP-fRPCA significantly reduced the runtime of RPCA by up to 94-fold. Consequently, the LP-fRPCA method promises to be a potential tool for clinical non-contrast ultrasound microvascular imaging.
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Affiliation(s)
- Xiao Su
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Yueyuan Wang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Hanbing Chu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Liyuan Jiang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Yadi Yan
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Xiaoyang Qiao
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Jianjun Yu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Kaitai Guo
- School of Electronic Engineering, Xidian University, Xi'an, 710071, China
| | - Yujin Zong
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Mingxi Wan
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China.
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2
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Florence TJ, Bari A, Vivas AC. Functional Stimulation and Imaging to Predict Neuromodulation of Chronic Low Back Pain. Neurosurg Clin N Am 2024; 35:191-197. [PMID: 38423734 DOI: 10.1016/j.nec.2023.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Back pain is one of the most common aversive sensations in human experience. Pain is not limited to the sensory transduction of tissue damage; rather, it encompasses a range of nervous system activities including lateral modulation, long-distance transmission, encoding, and decoding. Although spine surgery may address peripheral pain generators directly, aberrant signals along canonical aversive pathways and maladaptive influence of affective and cognitive states can result in persistent subjective pain refractory to classical surgical intervention. The clinical identification of who will benefit from surgery-and who will not-is increasingly grounded in neurophysiology.
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Affiliation(s)
- Timothy J Florence
- UCLA Neurosurgery, 300 Stein Plaza Driveway, Suite 562, Los Angeles, CA 90095, USA
| | - Ausaf Bari
- UCLA Neurosurgery, 300 Stein Plaza Driveway, Suite 562, Los Angeles, CA 90095, USA
| | - Andrew C Vivas
- UCLA Neurosurgery, 300 Stein Plaza Driveway, Suite 562, Los Angeles, CA 90095, USA.
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3
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Lambert T, Brunner C, Kil D, Wuyts R, D'Hondt E, Montaldo G, Urban A. A deep learning classification task for brain navigation in rodents using micro-Doppler ultrasound imaging. Heliyon 2024; 10:e27432. [PMID: 38495198 PMCID: PMC10943389 DOI: 10.1016/j.heliyon.2024.e27432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 02/28/2024] [Accepted: 02/28/2024] [Indexed: 03/19/2024] Open
Abstract
Positioning and navigation are essential components of neuroimaging as they improve the quality and reliability of data acquisition, leading to advances in diagnosis, treatment outcomes, and fundamental understanding of the brain. Functional ultrasound imaging is an emerging technology providing high-resolution images of the brain vasculature, allowing for the monitoring of brain activity. However, as the technology is relatively new, there is no standardized tool for inferring the position in the brain from the vascular images. In this study, we present a deep learning-based framework designed to address this challenge. Our approach uses an image classification task coupled with a regression on the resulting probabilities to determine the position of a single image. To evaluate its performance, we conducted experiments using a dataset of 51 rat brain scans. The training positions were extracted at intervals of 375 μm, resulting in a positioning error of 176 μm. Further GradCAM analysis revealed that the predictions were primarily driven by subcortical vascular structures. Finally, we assessed the robustness of our method in a cortical stroke where the brain vasculature is severely impaired. Remarkably, no specific increase in the number of misclassifications was observed, confirming the method's reliability in challenging conditions. Overall, our framework provides accurate and flexible positioning, not relying on a pre-registered reference but rather on conserved vascular patterns.
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Affiliation(s)
- Théo Lambert
- Neuro-Electronics Research Flanders, Leuven, Belgium
- VIB, Leuven, Belgium
- Imec, Leuven, Belgium
- Department of Neuroscience, Faculty of Medicine, KU Leuven, Leuven, Belgium
| | - Clément Brunner
- Neuro-Electronics Research Flanders, Leuven, Belgium
- VIB, Leuven, Belgium
- Imec, Leuven, Belgium
- Department of Neuroscience, Faculty of Medicine, KU Leuven, Leuven, Belgium
| | - Dries Kil
- Neuro-Electronics Research Flanders, Leuven, Belgium
- VIB, Leuven, Belgium
- Imec, Leuven, Belgium
- Department of Neuroscience, Faculty of Medicine, KU Leuven, Leuven, Belgium
| | | | | | - Gabriel Montaldo
- Neuro-Electronics Research Flanders, Leuven, Belgium
- VIB, Leuven, Belgium
- Imec, Leuven, Belgium
- Department of Neuroscience, Faculty of Medicine, KU Leuven, Leuven, Belgium
| | - Alan Urban
- Neuro-Electronics Research Flanders, Leuven, Belgium
- VIB, Leuven, Belgium
- Imec, Leuven, Belgium
- Department of Neuroscience, Faculty of Medicine, KU Leuven, Leuven, Belgium
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4
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Aurup C, Bendig J, Blackman SG, McCune EP, Bae S, Jimenez-Gambin S, Ji R, Konofagou EE. Transcranial Functional Ultrasound Imaging Detects Focused Ultrasound Neuromodulation Induced Hemodynamic Changes in Mouse and Nonhuman Primate Brains In Vivo. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.08.583971. [PMID: 38559149 PMCID: PMC10979885 DOI: 10.1101/2024.03.08.583971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Focused ultrasound (FUS) is an emerging noinvasive technique for neuromodulation in the central nervous system (CNS). To evaluate the effects of FUS-induced neuromodulation, many studies used behavioral changes, functional magnetic resonance imaging (fMRI) or electroencephalography (EEG). However, behavioral readouts are often not easily mapped to specific brain activity, EEG has low spatial resolution limited to the surface of the brain and fMRI requires a large importable scanner that limits additional readouts and manipulations. In this context, functional ultrasound imaging (fUSI) holds promise to directly monitor the effects of FUS neuromodulation with high spatiotemporal resolution in a large field of view, with a comparatively simple and flexible setup. fUSI uses ultrafast Power Doppler Imaging (PDI) to measure changes in cerebral blood volume, which correlates well with neuronal activity and local field potentials. We designed a setup that aligns a FUS transducer with a linear array to allow immediate subsequent monitoring of the hemodynamic response with fUSI during and after FUS neuromodulation. We established a positive correlation between FUS pressure and the size of the activated area, as well as changes in cerebral blood volume (CBV) and found that unilateral sonications produce bilateral hemodynamic changes with ipsilateral accentuation in mice. We further demonstrated the ability to perform fully noninvasive, transcranial FUS-fUSI in nonhuman primates for the first time by using a lower-frequency transducer configuration.
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Affiliation(s)
- Christian Aurup
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
| | - Jonas Bendig
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
| | - Samuel G. Blackman
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
| | - Erica P. McCune
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
| | - Sua Bae
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
| | | | - Robin Ji
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
| | - Elisa E. Konofagou
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
- Department of Radiology, Columbia University, New York, NY, USA
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5
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El Hady A, Takahashi D, Sun R, Akinwale O, Boyd-Meredith T, Zhang Y, Charles AS, Brody CD. Chronic brain functional ultrasound imaging in freely moving rodents performing cognitive tasks. J Neurosci Methods 2024; 403:110033. [PMID: 38056633 PMCID: PMC10872377 DOI: 10.1016/j.jneumeth.2023.110033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 11/06/2023] [Accepted: 12/01/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Functional ultrasound imaging (fUS) is an emerging imaging technique that indirectly measures neural activity via changes in blood volume. Chronic fUS imaging during cognitive tasks in freely moving animals faces multiple exceptional challenges: performing large durable craniotomies with chronic implants, designing behavioral experiments matching the hemodynamic timescale, stabilizing the ultrasound probe during freely moving behavior, accurately assessing motion artifacts, and validating that the animal can perform cognitive tasks while tethered. NEW METHOD We provide validated solutions for those technical challenges. In addition, we present standardized step-by-step reproducible protocols, procedures, and data processing pipelines. Finally, we present proof-of-concept analysis of brain dynamics during a decision making task. RESULTS We obtain stable recordings from which we can robustly decode task variables from fUS data over multiple months. Moreover, we find that brain wide imaging through hemodynamic response is nonlinearly related to cognitive variables, such as task difficulty, as compared to sensory responses previously explored. COMPARISON WITH EXISTING METHODS Computational pipelines in fUS are nascent and we present an initial development of a full processing pathway to correct and segment fUS data. CONCLUSIONS Our methods provide stable imaging and analysis of behavior with fUS that will enable new experimental paradigms in understanding brain-wide dynamics in naturalistic behaviors.
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Affiliation(s)
- Ahmed El Hady
- Princeton Neuroscience Institute, Princeton University, Princeton, United States; Center for advanced study of collective behavior, University of Konstanz, Germany; Max Planck Institute of Animal Behavior, Konstanz, Germany
| | - Daniel Takahashi
- Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Ruolan Sun
- Department of Biomedical Engineering, John Hopkins University, Baltimore, United States
| | - Oluwateniola Akinwale
- Department of Biomedical Engineering, John Hopkins University, Baltimore, United States
| | - Tyler Boyd-Meredith
- Princeton Neuroscience Institute, Princeton University, Princeton, United States
| | - Yisi Zhang
- Princeton Neuroscience Institute, Princeton University, Princeton, United States
| | - Adam S Charles
- Department of Biomedical Engineering, John Hopkins University, Baltimore, United States; Mathematical Institute for Data Science, Kavli Neuroscience Discovery Institute & Center for Imaging Science, John Hopkins University, Baltimore, United States.
| | - Carlos D Brody
- Princeton Neuroscience Institute, Princeton University, Princeton, United States; Howard Hughes Medical Institute, Princeton University, Princeton, United States; Department of Molecular Biology, Princeton University, Princeton, United States.
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6
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Zhang J, Gong C, Yang Z, Wei F, Sun X, Ji J, Zeng Y, Chang CF, Liu X, Nair DSR, Thomas BB, Zhou Q. Ultrasound Flow Imaging Study on Rat Brain with Ultrasound and Light Stimulations. Bioengineering (Basel) 2024; 11:174. [PMID: 38391660 PMCID: PMC10886342 DOI: 10.3390/bioengineering11020174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 01/29/2024] [Accepted: 02/08/2024] [Indexed: 02/24/2024] Open
Abstract
Functional ultrasound (fUS) flow imaging provides a non-invasive method for the in vivo study of cerebral blood flow and neural activity. This study used functional flow imaging to investigate rat brain's response to ultrasound and colored-light stimuli. Male Long-Evan rats were exposed to direct full-field strobe flashes light and ultrasound stimulation to their retinas, while brain activity was measured using high-frequency ultrasound imaging. Our study found that light stimuli, particularly blue light, elicited strong responses in the visual cortex and lateral geniculate nucleus (LGN), as evidenced by changes in cerebral blood volume (CBV). In contrast, ultrasound stimulation elicited responses undetectable with fUS flow imaging, although these were observable when directly measuring the brain's electrical signals. These findings suggest that fUS flow imaging can effectively differentiate neural responses to visual stimuli, with potential applications in understanding visual processing and developing new diagnostic tools.
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Affiliation(s)
- Junhang Zhang
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
- Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA
| | - Chen Gong
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
- Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA
| | - Zihan Yang
- Caruso Department of Otolaryngology-Head & Neck Surgery, University of Southern California, Los Angeles, CA 90033, USA
| | - Fan Wei
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Xin Sun
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Jie Ji
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Yushun Zeng
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Chi-Feng Chang
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
- Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA
| | - Xunan Liu
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Deepthi S Rajendran Nair
- Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA
| | - Biju B Thomas
- Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA
| | - Qifa Zhou
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
- Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA
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7
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Di Ianni T, Ewbank SN, Levinstein MR, Azadian MM, Budinich RC, Michaelides M, Airan RD. Sex dependence of opioid-mediated responses to subanesthetic ketamine in rats. Nat Commun 2024; 15:893. [PMID: 38291050 PMCID: PMC10828511 DOI: 10.1038/s41467-024-45157-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 01/17/2024] [Indexed: 02/01/2024] Open
Abstract
Subanesthetic ketamine is increasingly used for the treatment of varied psychiatric conditions, both on- and off-label. While it is commonly classified as an N-methyl D-aspartate receptor (NMDAR) antagonist, our picture of ketamine's mechanistic underpinnings is incomplete. Recent clinical evidence has indicated, controversially, that a component of the efficacy of subanesthetic ketamine may be opioid dependent. Using pharmacological functional ultrasound imaging in rats, we found that blocking opioid receptors suppressed neurophysiologic changes evoked by ketamine, but not by a more selective NMDAR antagonist, in limbic regions implicated in the pathophysiology of depression and in reward processing. Importantly, this opioid-dependent response was strongly sex-dependent, as it was not evident in female subjects and was fully reversed by surgical removal of the male gonads. We observed similar sex-dependent effects of opioid blockade affecting ketamine-evoked postsynaptic density and behavioral sensitization, as well as in opioid blockade-induced changes in opioid receptor density. Together, these results underscore the potential for ketamine to induce its affective responses via opioid signaling, and indicate that this opioid dependence may be strongly influenced by subject sex. These factors should be more directly assessed in future clinical trials.
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Affiliation(s)
- Tommaso Di Ianni
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
- Departments of Psychiatry & Behavioral Sciences and Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, 94143, USA.
| | - Sedona N Ewbank
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Marjorie R Levinstein
- Biobehavioral Imaging and Molecular Neuropsychopharmacology Unit, National Institute on Drug Abuse Intramural Research Program, Baltimore, MD, 21224, USA
| | - Matine M Azadian
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Reece C Budinich
- Biobehavioral Imaging and Molecular Neuropsychopharmacology Unit, National Institute on Drug Abuse Intramural Research Program, Baltimore, MD, 21224, USA
| | - Michael Michaelides
- Biobehavioral Imaging and Molecular Neuropsychopharmacology Unit, National Institute on Drug Abuse Intramural Research Program, Baltimore, MD, 21224, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Raag D Airan
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
- Department of Materials Science and Engineering, Stanford University School of Medicine, Stanford, CA, 94305, USA.
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA.
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8
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Soloukey S, Collée E, Verhoef L, Satoer DD, Dirven CMF, Bos EM, Schouten JW, Generowicz BS, Mastik F, De Zeeuw CI, Koekkoek SKE, Vincent AJPE, Smits M, Kruizinga P. Human brain mapping using co-registered fUS, fMRI and ESM during awake brain surgeries: A proof-of-concept study. Neuroimage 2023; 283:120435. [PMID: 37914090 DOI: 10.1016/j.neuroimage.2023.120435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/15/2023] [Accepted: 10/29/2023] [Indexed: 11/03/2023] Open
Abstract
Accurate, depth-resolved functional imaging is key in both understanding and treatment of the human brain. A new sonography-based imaging technique named functional Ultrasound (fUS) uniquely combines high sensitivity with submillimeter-subsecond spatiotemporal resolution available in large fields-of-view. In this proof-of-concept study we show that: (A) fUS reveals the same eloquent regions as found by fMRI while concomitantly visualizing in-vivo microvascular morphology underlying these functional hemodynamics and (B) fUS-based functional maps are confirmed by Electrocortical Stimulation Mapping (ESM), the current gold-standard in awake neurosurgical practice. This unique cross-modality experiment was performed using motor, visual and language-related functional tasks in patients undergoing awake brain tumor resection. The current work serves as an important milestone towards further maturity of fUS as well as a novel avenue to increase our understanding of hemodynamics-based functional brain imaging.
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Affiliation(s)
- S Soloukey
- Department of Neuroscience, Erasmus MC, Wytemaweg 80 3015 CN, Rotterdam 3015 CN, the Netherlands; Department of Neurosurgery, Erasmus MC, Rotterdam 3015 CN, the Netherlands
| | - E Collée
- Department of Neurosurgery, Erasmus MC, Rotterdam 3015 CN, the Netherlands
| | - L Verhoef
- Department of Neuroscience, Erasmus MC, Wytemaweg 80 3015 CN, Rotterdam 3015 CN, the Netherlands
| | - D D Satoer
- Department of Neurosurgery, Erasmus MC, Rotterdam 3015 CN, the Netherlands
| | - C M F Dirven
- Department of Neurosurgery, Erasmus MC, Rotterdam 3015 CN, the Netherlands
| | - E M Bos
- Department of Neurosurgery, Erasmus MC, Rotterdam 3015 CN, the Netherlands
| | - J W Schouten
- Department of Neurosurgery, Erasmus MC, Rotterdam 3015 CN, the Netherlands
| | - B S Generowicz
- Department of Neuroscience, Erasmus MC, Wytemaweg 80 3015 CN, Rotterdam 3015 CN, the Netherlands
| | - F Mastik
- Department of Neuroscience, Erasmus MC, Wytemaweg 80 3015 CN, Rotterdam 3015 CN, the Netherlands
| | - C I De Zeeuw
- Department of Neuroscience, Erasmus MC, Wytemaweg 80 3015 CN, Rotterdam 3015 CN, the Netherlands; Netherlands Institute for Neuroscience, Royal Dutch Academy for Arts and Sciences, Amsterdam 1105 BA, the Netherlands
| | - S K E Koekkoek
- Department of Neuroscience, Erasmus MC, Wytemaweg 80 3015 CN, Rotterdam 3015 CN, the Netherlands
| | - A J P E Vincent
- Department of Neurosurgery, Erasmus MC, Rotterdam 3015 CN, the Netherlands
| | - M Smits
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam 3015 CN, the Netherlands
| | - P Kruizinga
- Department of Neuroscience, Erasmus MC, Wytemaweg 80 3015 CN, Rotterdam 3015 CN, the Netherlands.
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9
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Brunner C, Montaldo G, Urban A. Functional ultrasound imaging of stroke in awake rats. eLife 2023; 12:RP88919. [PMID: 37988288 PMCID: PMC10662948 DOI: 10.7554/elife.88919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2023] Open
Abstract
Anesthesia is a major confounding factor in preclinical stroke research as stroke rarely occurs in sedated patients. Moreover, anesthesia affects both brain functions and the stroke outcome acting as neurotoxic or protective agents. So far, no approaches were well suited to induce stroke while imaging hemodynamics along with simultaneous large-scale recording of brain functions in awake animals. For this reason, the first critical hours following the stroke insult and associated functional alteration remain poorly understood. Here, we present a strategy to investigate both stroke hemodynamics and stroke-induced functional alterations without the confounding effect of anesthesia, i.e., under awake condition. Functional ultrasound (fUS) imaging was used to continuously monitor variations in cerebral blood volume (CBV) in +65 brain regions/hemispheres for up to 3 hr after stroke onset. The focal cortical ischemia was induced using a chemo-thrombotic agent suited for permanent middle cerebral artery occlusion in awake rats and followed by ipsi- and contralesional whiskers stimulation to investigate on the dynamic of the thalamocortical functions. Early (0-3 hr) and delayed (day 5) fUS recording enabled to characterize the features of the ischemia (location, CBV loss), spreading depolarizations (occurrence, amplitude) and functional alteration of the somatosensory thalamocortical circuits. Post-stroke thalamocortical functions were affected at both early and later time points (0-3 hr and 5 days) after stroke. Overall, our procedure facilitates early, continuous, and chronic assessments of hemodynamics and cerebral functions. When integrated with stroke studies or other pathological analyses, this approach seeks to enhance our comprehension of physiopathologies towards the development of pertinent therapeutic interventions.
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Affiliation(s)
- Clément Brunner
- Neuro-Electronics Research FlandersLeuvenBelgium
- Vlaams Instituut voor BiotechnologieLeuvenBelgium
- Interuniversity Microelectronics CentreLeuvenBelgium
- Department of Neurosciences, KU LeuvenLeuvenBelgium
| | - Gabriel Montaldo
- Neuro-Electronics Research FlandersLeuvenBelgium
- Vlaams Instituut voor BiotechnologieLeuvenBelgium
- Interuniversity Microelectronics CentreLeuvenBelgium
- Department of Neurosciences, KU LeuvenLeuvenBelgium
| | - Alan Urban
- Neuro-Electronics Research FlandersLeuvenBelgium
- Vlaams Instituut voor BiotechnologieLeuvenBelgium
- Interuniversity Microelectronics CentreLeuvenBelgium
- Department of Neurosciences, KU LeuvenLeuvenBelgium
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10
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Hikishima K, Tsurugizawa T, Kasahara K, Hayashi R, Takagi R, Yoshinaka K, Nitta N. Functional ultrasound reveals effects of MRI acoustic noise on brain function. Neuroimage 2023; 281:120382. [PMID: 37734475 DOI: 10.1016/j.neuroimage.2023.120382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 09/02/2023] [Accepted: 09/18/2023] [Indexed: 09/23/2023] Open
Abstract
Loud acoustic noise from the scanner during functional magnetic resonance imaging (fMRI) can affect functional connectivity (FC) observed in the resting state, but the exact effect of the MRI acoustic noise on resting state FC is not well understood. Functional ultrasound (fUS) is a neuroimaging method that visualizes brain activity based on relative cerebral blood volume (rCBV), a similar neurovascular coupling response to that measured by fMRI, but without the audible acoustic noise. In this study, we investigated the effects of different acoustic noise levels (silent, 80 dB, and 110 dB) on FC by measuring resting state fUS (rsfUS) in awake mice in an environment similar to fMRI measurement. Then, we compared the results to those of resting state fMRI (rsfMRI) conducted using an 11.7 Tesla scanner. RsfUS experiments revealed a significant reduction in FC between the retrosplenial dysgranular and auditory cortexes (0.56 ± 0.07 at silence vs 0.05 ± 0.05 at 110 dB, p=.01) and a significant increase in FC anticorrelation between the infralimbic and motor cortexes (-0.21 ± 0.08 at silence vs -0.47 ± 0.04 at 110 dB, p=.017) as acoustic noise increased from silence to 80 dB and 110 dB, with increased consistency of FC patterns between rsfUS and rsfMRI being found with the louder noise conditions. Event-related auditory stimulation experiments using fUS showed strong positive rCBV changes (16.5% ± 2.9% at 110 dB) in the auditory cortex, and negative rCBV changes (-6.7% ± 0.8% at 110 dB) in the motor cortex, both being constituents of the brain network that was altered by the presence of acoustic noise in the resting state experiments. Anticorrelation between constituent brain regions of the default mode network (such as the infralimbic cortex) and those of task-positive sensorimotor networks (such as the motor cortex) is known to be an important feature of brain network antagonism, and has been studied as a biological marker of brain disfunction and disease. This study suggests that attention should be paid to the acoustic noise level when using rsfMRI to evaluate the anticorrelation between the default mode network and task-positive sensorimotor network.
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Affiliation(s)
- Keigo Hikishima
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-2-1 Namiki, Tsukuba, Ibaraki 305-8564, Japan; Okinawa Institute of Science and Technology Graduate University, 1919-1 Tancha, Onna-son, Okinwa 904-0495, Japan.
| | - Tomokazu Tsurugizawa
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba 305-8568, Japan
| | - Kazumi Kasahara
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba 305-8568, Japan
| | - Ryusuke Hayashi
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba 305-8568, Japan
| | - Ryo Takagi
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-2-1 Namiki, Tsukuba, Ibaraki 305-8564, Japan
| | - Kiyoshi Yoshinaka
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-2-1 Namiki, Tsukuba, Ibaraki 305-8564, Japan
| | - Naotaka Nitta
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-2-1 Namiki, Tsukuba, Ibaraki 305-8564, Japan
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11
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Hikishima K, Tsurugizawa T, Kasahara K, Takagi R, Yoshinaka K, Nitta N. Brain-wide mapping of resting-state networks in mice using high-frame rate functional ultrasound. Neuroimage 2023; 279:120297. [PMID: 37500027 DOI: 10.1016/j.neuroimage.2023.120297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 06/21/2023] [Accepted: 07/25/2023] [Indexed: 07/29/2023] Open
Abstract
Functional ultrasound (fUS) imaging is a method for visualizing deep brain activity based on cerebral blood volume changes coupled with neural activity, while functional MRI (fMRI) relies on the blood-oxygenation-level-dependent signal coupled with neural activity. Low-frequency fluctuations (LFF) of fMRI signals during resting-state can be measured by resting-state fMRI (rsfMRI), which allows functional imaging of the whole brain, and the distributions of resting-state network (RSN) can then be estimated from these fluctuations using independent component analysis (ICA). This procedure provides an important method for studying cognitive and psychophysiological diseases affecting specific brain networks. The distributions of RSNs in the brain-wide area has been reported primarily by rsfMRI. RSNs using rsfMRI are generally computed from the time-course of fMRI signals for more than 5 min. However, a recent dynamic functional connectivity study revealed that RSNs are still not perfectly stable even after 10 min. Importantly, fUS has a higher temporal resolution and stronger correlation with neural activity compared with fMRI. Therefore, we hypothesized that fUS applied during the resting-state for a shorter than 5 min would provide similar RSNs compared to fMRI. High temporal resolution rsfUS data were acquired at 10 Hz in awake mice. The quality of the default mode network (DMN), a well-known RSN, was evaluated using signal-noise separation (SNS) applied to different measurement durations of rsfUS. The results showed that the SNS did not change when the measurement duration was increased to more than 210 s. Next, we measured short-duration rsfUS multi-slice measurements in the brain-wide area. The results showed that rsfUS with the short duration succeeded in detecting RSNs distributed in the brain-wide area consistent with RSNs detected by 11.7-T MRI under awake conditions (medial prefrontal cortex and cingulate cortex in the anterior DMN, retrosplenial cortex and visual cortex in the posterior DMN, somatosensory and motor cortexes in the lateral cortical network, thalamus, dorsal hippocampus, and medial cerebellum), confirming the reliability of the RSNs detected by rsfUS. However, bilateral RSNs located in the secondary somatosensory cortex, ventral hippocampus, auditory cortex, and lateral cerebellum extracted from rsfUS were different from the unilateral RSNs extracted from rsfMRI. These findings indicate the potential of rsfUS as a method for analyzing functional brain networks and should encourage future research to elucidate functional brain networks and their relationships with disease model mice.
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Affiliation(s)
- Keigo Hikishima
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan; Okinawa Institute of Science and Technology Graduate University (OIST), Okinawa, Japan.
| | - Tomokazu Tsurugizawa
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan
| | - Kazumi Kasahara
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan
| | - Ryo Takagi
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan
| | - Kiyoshi Yoshinaka
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan
| | - Naotaka Nitta
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan
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12
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Nayak R, Lee J, Sotoudehnia S, Chang SY, Fatemi M, Alizad A. Mapping Pharmacologically Evoked Neurovascular Activation and Its Suppression in a Rat Model of Tremor Using Functional Ultrasound: A Feasibility Study. SENSORS (BASEL, SWITZERLAND) 2023; 23:6902. [PMID: 37571686 PMCID: PMC10422538 DOI: 10.3390/s23156902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 06/26/2023] [Accepted: 08/01/2023] [Indexed: 08/13/2023]
Abstract
Functional ultrasound (fUS), an emerging hemodynamic-based functional neuroimaging technique, is especially suited to probe brain activity and primarily used in animal models. Increasing use of pharmacological models for essential tremor extends new research to the utilization of fUS imaging in such models. Harmaline-induced tremor is an easily provoked model for the development of new therapies for essential tremor (ET). Furthermore, harmaline-induced tremor can be suppressed by the same classic medications used for essential tremor, which leads to the utilization of this model for preclinical testing. However, changes in local cerebral activities under the effect of tremorgenic doses of harmaline have not been completely investigated. In this study, we explored the feasibility of fUS imaging for visualization of cerebral activation and deactivation associated with harmaline-induced tremor and tremor-suppressing effects of propranolol. The spatial resolution of fUS using a high frame rate imaging enabled us to visualize time-locked and site-specific changes in cerebral blood flow associated with harmaline-evoked tremor. Intraperitoneal administration of harmaline generated significant neural activity changes in the primary motor cortex and ventrolateral thalamus (VL Thal) regions during tremor and then gradually returned to baseline level as tremor subsided with time. To the best of our knowledge, this is the first functional ultrasound study to show the neurovascular activation of harmaline-induced tremor and the therapeutic suppression in a rat model. Thus, fUS can be considered a noninvasive imaging method for studying neuronal activities involved in the ET model and its treatment.
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Affiliation(s)
- Rohit Nayak
- Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA
| | - Jeyeon Lee
- Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA
| | - Setayesh Sotoudehnia
- Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA
| | - Su-Youne Chang
- Department of Neurologic Surgery, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA;
| | - Mostafa Fatemi
- Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA;
| | - Azra Alizad
- Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA
- Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA;
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13
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Forró C, Musall S, Montes VR, Linkhorst J, Walter P, Wessling M, Offenhäusser A, Ingebrandt S, Weber Y, Lampert A, Santoro F. Toward the Next Generation of Neural Iontronic Interfaces. Adv Healthc Mater 2023; 12:e2301055. [PMID: 37434349 DOI: 10.1002/adhm.202301055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/23/2023] [Indexed: 07/13/2023]
Abstract
Neural interfaces are evolving at a rapid pace owing to advances in material science and fabrication, reduced cost of scalable complementary metal oxide semiconductor (CMOS) technologies, and highly interdisciplinary teams of researchers and engineers that span a large range from basic to applied and clinical sciences. This study outlines currently established technologies, defined as instruments and biological study systems that are routinely used in neuroscientific research. After identifying the shortcomings of current technologies, such as a lack of biocompatibility, topological optimization, low bandwidth, and lack of transparency, it maps out promising directions along which progress should be made to achieve the next generation of symbiotic and intelligent neural interfaces. Lastly, it proposes novel applications that can be achieved by these developments, ranging from the understanding and reproduction of synaptic learning to live-long multimodal measurements to monitor and treat various neuronal disorders.
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Affiliation(s)
- Csaba Forró
- Institute for Biological Information Processing - Bioelectronics IBI-3, Wilhelm-Johnen-Straße, 52428, Jülich, Germany
- Institute of Materials in Electrical Engineering 1, RWTH Aachen, Sommerfeldstr. 24, 52074, Aachen, Germany
| | - Simon Musall
- Institute for Biological Information Processing - Bioelectronics IBI-3, Wilhelm-Johnen-Straße, 52428, Jülich, Germany
- Institute for Zoology, RWTH Aachen University, Worringerweg 3, 52074, Aachen, Germany
| | - Viviana Rincón Montes
- Institute for Biological Information Processing - Bioelectronics IBI-3, Wilhelm-Johnen-Straße, 52428, Jülich, Germany
| | - John Linkhorst
- Chemical Process Engineering, RWTH Aachen, Forckenbeckstr. 51, 52074, Aachen, Germany
| | - Peter Walter
- Department of Ophthalmology, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany
| | - Matthias Wessling
- Chemical Process Engineering, RWTH Aachen, Forckenbeckstr. 51, 52074, Aachen, Germany
- DWI Leibniz Institute for Interactive Materials, RWTH Aachen, Forckenbeckstr. 50, 52074, Aachen, Germany
| | - Andreas Offenhäusser
- Institute for Biological Information Processing - Bioelectronics IBI-3, Wilhelm-Johnen-Straße, 52428, Jülich, Germany
| | - Sven Ingebrandt
- Institute of Materials in Electrical Engineering 1, RWTH Aachen, Sommerfeldstr. 24, 52074, Aachen, Germany
| | - Yvonne Weber
- Department of Epileptology, Neurology, RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany
| | - Angelika Lampert
- Institute of Neurophysiology, Uniklinik RWTH Aachen, Pauwelsstrasse 30, 52074, Aachen, Germany
| | - Francesca Santoro
- Institute for Biological Information Processing - Bioelectronics IBI-3, Wilhelm-Johnen-Straße, 52428, Jülich, Germany
- Institute of Materials in Electrical Engineering 1, RWTH Aachen, Sommerfeldstr. 24, 52074, Aachen, Germany
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14
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Kim G, Rabut C, Ling B, Shapiro M, Daraio C. Microscale acoustic metamaterials as conformal sonotransparent skull prostheses. RESEARCH SQUARE 2023:rs.3.rs-2743580. [PMID: 37214802 PMCID: PMC10197820 DOI: 10.21203/rs.3.rs-2743580/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Functional ultrasound imaging enables sensitive, high-resolution imaging of neural activity in freely behaving animals and human patients. However, the skull acts as an aberrating and absorbing layer for sound waves, leading to most functional ultrasound experiments being conducted after skull removal. In pre-clinical settings, craniotomies are often covered with a polymethylpentene film, which offers limited longitudinal imaging, due to the film's poor conformability, and limited mechanical protection, due to the film's low stiffness. Here, we introduce a skull replacement consisting of a microstructured, conformal acoustic window based on mechanical metamaterials, designed to offer high stiffness-to-density ratio and sonotransparency. We test the acoustic window in vivo, via terminal and survival experiments on small animals. Long-term biocompatibility and lasting signal sensitivity are demonstrated over a long period of time (> 4 months) by conducting ultrasound imaging in mouse models implanted with the metamaterial skull prosthesis.
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15
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Berthon B, Bergel A, Matei M, Tanter M. Decoding behavior from global cerebrovascular activity using neural networks. Sci Rep 2023; 13:3541. [PMID: 36864293 PMCID: PMC9981746 DOI: 10.1038/s41598-023-30661-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 02/27/2023] [Indexed: 03/04/2023] Open
Abstract
Functional Ultrasound (fUS) provides spatial and temporal frames of the vascular activity in the brain with high resolution and sensitivity in behaving animals. The large amount of resulting data is underused at present due to the lack of appropriate tools to visualize and interpret such signals. Here we show that neural networks can be trained to leverage the richness of information available in fUS datasets to reliably determine behavior, even from a single fUS 2D image after appropriate training. We illustrate the potential of this method with two examples: determining if a rat is moving or static and decoding the animal's sleep/wake state in a neutral environment. We further demonstrate that our method can be transferred to new recordings, possibly in other animals, without additional training, thereby paving the way for real-time decoding of brain activity based on fUS data. Finally, the learned weights of the network in the latent space were analyzed to extract the relative importance of input data to classify behavior, making this a powerful tool for neuroscientific research.
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Affiliation(s)
- Béatrice Berthon
- Physics for Medicine Institute, INSERM U1273, CNRS UMR 8063, ESPCI Paris, PSL Research University, Paris, France.
| | - Antoine Bergel
- Physics for Medicine Institute, INSERM U1273, CNRS UMR 8063, ESPCI Paris, PSL Research University, Paris, France
| | - Marta Matei
- Physics for Medicine Institute, INSERM U1273, CNRS UMR 8063, ESPCI Paris, PSL Research University, Paris, France
| | - Mickaël Tanter
- Physics for Medicine Institute, INSERM U1273, CNRS UMR 8063, ESPCI Paris, PSL Research University, Paris, France
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16
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Aurup C, Pouliopoulos AN, Kwon N, Murillo MF, Konofagou EE. Evaluation of Non-invasive Optogenetic Stimulation with Transcranial Functional Ultrasound Imaging. ULTRASOUND IN MEDICINE & BIOLOGY 2023; 49:908-917. [PMID: 36460567 PMCID: PMC10319350 DOI: 10.1016/j.ultrasmedbio.2022.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 10/27/2022] [Accepted: 11/03/2022] [Indexed: 06/17/2023]
Abstract
Optogenetics employs engineered viruses to genetically modify cells to express specific light-sensitive ion channels. The standard method for gene delivery in the brain involves invasive craniotomies that expose the brain and direct injections of viruses that invariably damage neural tissue along the syringe tract. A recently proposed alternative in which non-invasive optogenetics is performed with focused ultrasound (FUS)-mediated blood-brain barrier (BBB) openings has been found to non-invasively facilitate gene delivery for optogenetics in mice. Although gene delivery can be performed non-invasively, validating successful viral transduction and expression of encoded ion channels in target tissue typically involves similar invasive techniques, such as craniotomies in longitudinal studies and/or postmortem histology. Functional ultrasound imaging (fUSi) is an emerging neuroimaging technique that can be used to transcranially detect changes in cerebral blood volume following introduction of a stimulus. In this study, we implemented a fully non-invasive combined FUS-fUSi technique for performing optogenetics in mice. FUS successfully delivered viruses encoding the red-shifted channelrhodopsin variant ChrimsonR in all treated subjects. fUSi successfully identified stimulus-evoked cerebral blood volume changes preferentially in brain regions expressing the light-sensitive ion channels. Improvements in cell-specific targeting of viral vectors and transcranial ultrasound imaging will make the combined technique a useful tool for neuroscience research in small animals.
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Affiliation(s)
- Christian Aurup
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
| | | | - Nancy Kwon
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
| | - Maria F Murillo
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
| | - Elisa E Konofagou
- Department of Biomedical Engineering, Columbia University, New York, New York, USA; Department of Radiology, Columbia University, New York, New York, USA.
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17
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Xu Y, Yiu KH, Lee WN. Fast and Robust Clutter Filtering in Ultrafast Echocardiography. ULTRASOUND IN MEDICINE & BIOLOGY 2023; 49:441-453. [PMID: 36372594 DOI: 10.1016/j.ultrasmedbio.2022.09.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 09/21/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
Singular value decomposition (SVD)-based filters have become the norm for clutter filtering in ultrasound blood flow applications but are computationally expensive and susceptible to large and fast tissue motion. Randomized SVD (rSVD) has later been shown to successfully accelerate filtering of in vivo stationary tissues. However, little is known about its performance on ultrafast echocardiography, which produces thousands of frames to assess complex myocardial deformation and blood dynamics. Neither has its inherently robust randomized scheme been proven in any ultrasound blood flow imaging methods. This study thus proposed to employ rSVD as a fast and robust clutter filter for ultrafast echocardiograms prior to power Doppler analysis. Ultrafast echocardiograms of nine normal human hearts were acquired in vivo by our cascaded synthetic aperture imaging method. One subject was additionally scanned under four different sonographic signal-to-noise ratio (SNR) levels. Contrast ratio (CR) and contrast-to-noise ratio (CNR) of in vivo power Doppler images obtained from filtered ultrafast echocardiograms were calculated, and their mean and standard deviation within a cardiac cycle represented temporal average and variation of contrast resolution, respectively. Our in vivo results showed that rSVD accelerated clutter filtering by 12-fold and provided significantly better local contrast (mean CNR values: p < 0.001) while being equally effective (mean CR values: p = 0.20) compared with full-SVD. rSVD yielded smaller standard deviations of CR (1.32 dB vs. 5.49 dB) and CNR (1.27 dB vs. 5.49 dB) than full-SVD in the lowest SNR scenario, thus substantiating its superior robustness. Our findings suggest using rSVD in ultrafast echocardiographic blood dynamics analysis.
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Affiliation(s)
- Yue Xu
- Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China
| | - Kai-Hang Yiu
- Cardiology Division, University of Hong Kong, Shenzhen Hospital, Hong Kong, China; Cardiology Division, Department of Medicine, University of Hong Kong, Hong Kong, China
| | - Wei-Ning Lee
- Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China; Biomedical Engineering Programme, University of Hong Kong, Hong Kong, China.
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18
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Wang Y, LeDue JM, Murphy TH. Multiscale imaging informs translational mouse modeling of neurological disease. Neuron 2022; 110:3688-3710. [PMID: 36198319 DOI: 10.1016/j.neuron.2022.09.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 05/26/2022] [Accepted: 09/06/2022] [Indexed: 11/05/2022]
Abstract
Multiscale neurophysiology reveals that simple motor actions are associated with changes in neuronal firing in virtually every brain region studied. Accordingly, the assessment of focal pathology such as stroke or progressive neurodegenerative diseases must also extend widely across brain areas. To derive mechanistic information through imaging, multiple resolution scales and multimodal factors must be included, such as the structure and function of specific neurons and glial cells and the dynamics of specific neurotransmitters. Emerging multiscale methods in preclinical animal studies that span micro- to macroscale examinations fill this gap, allowing a circuit-based understanding of pathophysiological mechanisms. Combined with high-performance computation and open-source data repositories, these emerging multiscale and large field-of-view techniques include live functional ultrasound, multi- and single-photon wide-scale light microscopy, video-based miniscopes, and tissue-penetrating fiber photometry, as well as variants of post-mortem expansion microscopy. We present these technologies and outline use cases and data pipelines to uncover new knowledge within animal models of stroke, Alzheimer's disease, and movement disorders.
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Affiliation(s)
- Yundi Wang
- University of British Columbia, Department of Psychiatry, Kinsmen Laboratory of Neurological Research, Detwiller Pavilion, 2255 Wesbrook Mall, Vancouver, BC V6T 1Z3, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, 2215 Wesbrook Mall, Vancouver, BC V6T 1Z3, Canada
| | - Jeffrey M LeDue
- University of British Columbia, Department of Psychiatry, Kinsmen Laboratory of Neurological Research, Detwiller Pavilion, 2255 Wesbrook Mall, Vancouver, BC V6T 1Z3, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, 2215 Wesbrook Mall, Vancouver, BC V6T 1Z3, Canada
| | - Timothy H Murphy
- University of British Columbia, Department of Psychiatry, Kinsmen Laboratory of Neurological Research, Detwiller Pavilion, 2255 Wesbrook Mall, Vancouver, BC V6T 1Z3, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, 2215 Wesbrook Mall, Vancouver, BC V6T 1Z3, Canada.
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19
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Vidal B, Pereira M, Valdebenito M, Vidal L, Mouthon F, Zimmer L, Charvériat M, Droguerre M. Pharmaco-fUS in cognitive impairment: Lessons from a preclinical model. J Psychopharmacol 2022; 36:1273-1279. [PMID: 36205074 DOI: 10.1177/02698811221128963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND There is an urgent need to understand and reverse cognitive impairment. The lack of appropriate animal models combined with the limited knowledge of pathophysiological mechanisms makes the development of new cognition-enhancing drugs complex. Scopolamine is a pharmacologic agent which impairs cognition and functional imaging in a wide range of animal species, similarly to what is seen in cognitive impairment in humans. METHODS In this study, using a functional ultrasound (fUS) neuroimaging technique, we monitored the impact of donepezil (DPZ), a potent acetylcholinesterase inhibitor and first-line treatment in patients with mild to moderate Alzheimer's disease, in a scopolamine-induced mouse model. RESULTS We demonstrated that despite its low impact on the cerebral blood volume (CBV) signal, scopolamine injection produced an overall decrease in functional connectivity between various brain areas. In addition, we revealed that DPZ induced a strong decrease in CBV signal without causing a difference in functional connectivity. CONCLUSION Finally, our work highlighted that DPZ counteracted the impact of scopolamine on functional connectivity changes and confirmed the interest of using pharmaco-fUS imaging on cognitive disorders, both in frequent and rare neurological disorders.
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Affiliation(s)
- Benjamin Vidal
- Theranexus, Lyon, France.,Lyon Neuroscience Research Center, Université de Lyon, Université Claude Bernard Lyon 1, CNRS UMR5292, INSERM U1028, Lyon, France
| | - Mickaël Pereira
- Lyon Neuroscience Research Center, Université de Lyon, Université Claude Bernard Lyon 1, CNRS UMR5292, INSERM U1028, Lyon, France
| | | | - Louis Vidal
- Lyon Neuroscience Research Center, Université de Lyon, Université Claude Bernard Lyon 1, CNRS UMR5292, INSERM U1028, Lyon, France
| | | | - Luc Zimmer
- Lyon Neuroscience Research Center, Université de Lyon, Université Claude Bernard Lyon 1, CNRS UMR5292, INSERM U1028, Lyon, France.,CERMEP-imaging platform, Bron, France.,Hospices Civils de Lyon, Lyon, France
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20
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Benisty H, Song A, Mishne G, Charles AS. Review of data processing of functional optical microscopy for neuroscience. NEUROPHOTONICS 2022; 9:041402. [PMID: 35937186 PMCID: PMC9351186 DOI: 10.1117/1.nph.9.4.041402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 07/15/2022] [Indexed: 05/04/2023]
Abstract
Functional optical imaging in neuroscience is rapidly growing with the development of optical systems and fluorescence indicators. To realize the potential of these massive spatiotemporal datasets for relating neuronal activity to behavior and stimuli and uncovering local circuits in the brain, accurate automated processing is increasingly essential. We cover recent computational developments in the full data processing pipeline of functional optical microscopy for neuroscience data and discuss ongoing and emerging challenges.
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Affiliation(s)
- Hadas Benisty
- Yale Neuroscience, New Haven, Connecticut, United States
| | - Alexander Song
- Max Planck Institute for Intelligent Systems, Stuttgart, Germany
| | - Gal Mishne
- UC San Diego, Halıcığlu Data Science Institute, Department of Electrical and Computer Engineering and the Neurosciences Graduate Program, La Jolla, California, United States
| | - Adam S. Charles
- Johns Hopkins University, Kavli Neuroscience Discovery Institute, Center for Imaging Science, Department of Biomedical Engineering, Department of Neuroscience, and Mathematical Institute for Data Science, Baltimore, Maryland, United States
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21
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Zhang YS, Takahashi DY, El Hady A, Liao DA, Ghazanfar AA. Active neural coordination of motor behaviors with internal states. Proc Natl Acad Sci U S A 2022; 119:e2201194119. [PMID: 36122243 PMCID: PMC9522379 DOI: 10.1073/pnas.2201194119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 08/16/2022] [Indexed: 11/18/2022] Open
Abstract
The brain continuously coordinates skeletomuscular movements with internal physiological states like arousal, but how is this coordination achieved? One possibility is that the brain simply reacts to changes in external and/or internal signals. Another possibility is that it is actively coordinating both external and internal activities. We used functional ultrasound imaging to capture a large medial section of the brain, including multiple cortical and subcortical areas, in marmoset monkeys while monitoring their spontaneous movements and cardiac activity. By analyzing the causal ordering of these different time series, we found that information flowing from the brain to movements and heart-rate fluctuations were significantly greater than in the opposite direction. The brain areas involved in this external versus internal coordination were spatially distinct, but also extensively interconnected. Temporally, the brain alternated between network states for this regulation. These findings suggest that the brain's dynamics actively and efficiently coordinate motor behavior with internal physiology.
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Affiliation(s)
- Yisi S. Zhang
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544
| | - Daniel Y. Takahashi
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544
- Brain Institute, Federal University of Rio Grande do Norte, Natal 59076-550, Brazil
| | - Ahmed El Hady
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544
- Center for Advanced Study of Collective Behavior, University of Konstanz, Konstanz 78464, Germany
- Department of Collective Behavior, Max Planck Institute of Animal Behavior, Konstanz 78464, Germany
| | - Diana A. Liao
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544
| | - Asif A. Ghazanfar
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544
- Department of Psychology, Princeton University, Princeton, NJ 08544
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22
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Abstract
Functional ultrasound (fUS) is a neuroimaging method that uses ultrasound to track changes in cerebral blood volume as an indirect readout of neuronal activity at high spatiotemporal resolution. fUS is capable of imaging head-fixed or freely behaving rodents and of producing volumetric images of the entire mouse brain. It has been applied to many species, including primates and humans. Now that fUS is reaching maturity, it is being adopted by the neuroscience community. However, the nature of the fUS signal and the different implementations of fUS are not necessarily accessible to nonspecialists. This review aims to introduce these ultrasound concepts to all neuroscientists. We explain the physical basis of the fUS signal and the principles of the method, present the state of the art of its hardware implementation, and give concrete examples of current applications in neuroscience. Finally, we suggest areas for improvement during the next few years.
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Affiliation(s)
- Gabriel Montaldo
- Neuro-Electronics Research Flanders, Vlaams Instituut voor Biotechnologie, and Interuniversity Microelectronics Centre, Leuven, Belgium;
| | - Alan Urban
- Neuro-Electronics Research Flanders, Vlaams Instituut voor Biotechnologie, and Interuniversity Microelectronics Centre, Leuven, Belgium; .,Department of Neuroscience, Faculty of Medicine, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Emilie Macé
- Brain-Wide Circuits for Behavior Research Group, Max Planck Institute of Neurobiology, Martinsried, Germany.,Current address: Max Planck Institute for Biological Intelligence, In Foundation, Martinsried, Germany;
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23
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Di Ianni T, Airan RD. Deep-fUS: A Deep Learning Platform for Functional Ultrasound Imaging of the Brain Using Sparse Data. IEEE TRANSACTIONS ON MEDICAL IMAGING 2022; 41:1813-1825. [PMID: 35108201 PMCID: PMC9247015 DOI: 10.1109/tmi.2022.3148728] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Functional ultrasound (fUS) is a rapidly emerging modality that enables whole-brain imaging of neural activity in awake and mobile rodents. To achieve sufficient blood flow sensitivity in the brain microvasculature, fUS relies on long ultrasound data acquisitions at high frame rates, posing high demands on the sampling and processing hardware. Here we develop an image reconstruction method based on deep learning that significantly reduces the amount of data necessary while retaining imaging performance. We trained convolutional neural networks to learn the power Doppler reconstruction function from sparse sequences of ultrasound data with compression factors of up to 95%. High-quality images from in vivo acquisitions in rats were used for training and performance evaluation. We demonstrate that time series of power Doppler images can be reconstructed with sufficient accuracy to detect the small changes in cerebral blood volume (~10%) characteristic of task-evoked cortical activation, even though the network was not formally trained to reconstruct such image series. The proposed platform may facilitate the development of this neuroimaging modality in any setting where dedicated hardware is not available or in clinical scanners.
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24
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Nunez-Elizalde AO, Krumin M, Reddy CB, Montaldo G, Urban A, Harris KD, Carandini M. Neural correlates of blood flow measured by ultrasound. Neuron 2022; 110:1631-1640.e4. [PMID: 35278361 PMCID: PMC9235295 DOI: 10.1016/j.neuron.2022.02.012] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 01/06/2022] [Accepted: 02/15/2022] [Indexed: 12/17/2022]
Abstract
Functional ultrasound imaging (fUSI) is an appealing method for measuring blood flow and thus infer brain activity, but it relies on the physiology of neurovascular coupling and requires extensive signal processing. To establish to what degree fUSI trial-by-trial signals reflect neural activity, we performed simultaneous fUSI and neural recordings with Neuropixels probes in awake mice. fUSI signals strongly correlated with the slow (<0.3 Hz) fluctuations in the local firing rate and were closely predicted by the smoothed firing rate of local neurons, particularly putative inhibitory neurons. The optimal smoothing filter had a width of ∼3 s, matched the hemodynamic response function of awake mice, was invariant across mice and stimulus conditions, and was similar in the cortex and hippocampus. fUSI signals also matched neural firing spatially: firing rates were as highly correlated across hemispheres as fUSI signals. Thus, blood flow measured by ultrasound bears a simple and accurate relationship to neuronal firing.
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Affiliation(s)
| | - Michael Krumin
- UCL Institute of Ophthalmology, University College London, London WC1E 6AE, UK
| | - Charu Bai Reddy
- UCL Institute of Ophthalmology, University College London, London WC1E 6AE, UK
| | - Gabriel Montaldo
- Neuro-Electronics Research Flanders, 3001 Leuven, Belgium; Vlaams Instituut voor Biotechnologie (VIB), 3000 Leuven, Belgium; imec, 3001 Leuven, Belgium; Department of Neuroscience, KU Leuven, 3000 Leuven, Belgium
| | - Alan Urban
- Neuro-Electronics Research Flanders, 3001 Leuven, Belgium; Vlaams Instituut voor Biotechnologie (VIB), 3000 Leuven, Belgium; imec, 3001 Leuven, Belgium; Department of Neuroscience, KU Leuven, 3000 Leuven, Belgium
| | - Kenneth D Harris
- UCL Queen Square Institute of Neurology, University College London, London WC1E 6AE, UK
| | - Matteo Carandini
- UCL Institute of Ophthalmology, University College London, London WC1E 6AE, UK.
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25
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Paasonen J, Stenroos P, Laakso H, Pirttimäki T, Paasonen E, Salo RA, Tanila H, Idiyatullin D, Garwood M, Michaeli S, Mangia S, Gröhn O. Whole-brain studies of spontaneous behavior in head-fixed rats enabled by zero echo time MB-SWIFT fMRI. Neuroimage 2022; 250:118924. [PMID: 35065267 PMCID: PMC9464759 DOI: 10.1016/j.neuroimage.2022.118924] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 12/22/2021] [Accepted: 01/18/2022] [Indexed: 11/21/2022] Open
Abstract
Understanding the link between the brain activity and behavior is a key challenge in modern neuroscience. Behavioral neuroscience, however, lacks tools to record whole-brain activity in complex behavioral settings. Here we demonstrate that a novel Multi-Band SWeep Imaging with Fourier Transformation (MB-SWIFT) functional magnetic resonance imaging (fMRI) approach enables whole-brain studies in spontaneously behaving head-fixed rats. First, we show anatomically relevant functional parcellation. Second, we show sensory, motor, exploration, and stress-related brain activity in relevant networks during corresponding spontaneous behavior. Third, we show odor-induced activation of olfactory system with high correlation between the fMRI and behavioral responses. We conclude that the applied methodology enables novel behavioral study designs in rodents focusing on tasks, cognition, emotions, physical exercise, and social interaction. Importantly, novel zero echo time and large bandwidth approaches, such as MB-SWIFT, can be applied for human behavioral studies, allowing more freedom as body movement is dramatically less restricting factor.
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Affiliation(s)
- Jaakko Paasonen
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Petteri Stenroos
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland; Institute of Neuroscience, Grenoble, France
| | - Hanne Laakso
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Tiina Pirttimäki
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Ekaterina Paasonen
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Raimo A Salo
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Heikki Tanila
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Djaudat Idiyatullin
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, USA
| | - Michael Garwood
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, USA
| | - Shalom Michaeli
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, USA
| | - Silvia Mangia
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, USA
| | - Olli Gröhn
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland.
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26
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Brunner C, Macé E, Montaldo G, Urban A. Quantitative Hemodynamic Measurements in Cortical Vessels Using Functional Ultrasound Imaging. Front Neurosci 2022; 16:831650. [PMID: 35495056 PMCID: PMC9039668 DOI: 10.3389/fnins.2022.831650] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 02/23/2022] [Indexed: 01/17/2023] Open
Abstract
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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Affiliation(s)
- Clément Brunner
- Neuro-Electronics Research Flanders, Leuven, Belgium
- VIB, Leuven, Belgium
- Imec, Leuven, Belgium
- Department of Neuroscience, Faculty of Medicine, KU Leuven, Leuven, Belgium
| | - Emilie Macé
- Brain-Wide Circuits for Behavior Research Group, Max Planck Institute of Neurobiology, Martinsried, Germany
| | - Gabriel Montaldo
- Neuro-Electronics Research Flanders, Leuven, Belgium
- VIB, Leuven, Belgium
- Imec, Leuven, Belgium
- Department of Neuroscience, Faculty of Medicine, KU Leuven, Leuven, Belgium
| | - Alan Urban
- Neuro-Electronics Research Flanders, Leuven, Belgium
- VIB, Leuven, Belgium
- Imec, Leuven, Belgium
- Department of Neuroscience, Faculty of Medicine, KU Leuven, Leuven, Belgium
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27
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Réaux-Le-Goazigo A, Beliard B, Delay L, Rahal L, Claron J, Renaudin N, Rivals I, Thibaut M, Nouhoum M, Deffieux T, Tanter M, Pezet S. Ultrasound localization microscopy and functional ultrasound imaging reveal atypical features of the trigeminal ganglion vasculature. Commun Biol 2022; 5:330. [PMID: 35393515 PMCID: PMC8989975 DOI: 10.1038/s42003-022-03273-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 03/15/2022] [Indexed: 12/26/2022] Open
Abstract
The functional imaging within the trigeminal ganglion (TG) is highly challenging due to its small size and deep localization. This study combined a methodological framework able to dive into the rat trigeminal nociceptive system by jointly providing 1) imaging of the TG blood vasculature at microscopic resolution, and 2) the measurement of hemodynamic responses evoked by orofacial stimulations in anesthetized rats. Despite the small number of sensory neurons within the TG, functional ultrasound imaging was able to image and quantify a strong and highly localized hemodynamic response in the ipsilateral TG, evoked not only by mechanical or chemical stimulations of corneal nociceptive fibers, but also by cutaneous mechanical stimulations of the ophthalmic and maxillary orofacial regions using a von Frey hair. The in vivo quantitative imaging of the TG’s vasculature using ultrasound localization microscopy combined with in toto labelling reveals particular features of the vascularization of the area containing the sensory neurons, that are likely the origin of this strong vaso-trigeminal response. This innovative imaging approach opens the path for future studies on the mechanisms underlying changes in trigeminal local blood flow and evoked hemodynamic responses, key mechanisms for the understanding and treatment of debilitating trigeminal pain conditions. Visualisation of rat trigeminal ganglia activation during ophthalmic or maxillary nociceptive stimulations shows atypical tortuous vascularisation and a somatotopic hemodynamic response.
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Affiliation(s)
| | - Benoit Beliard
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 17 rue Moreau, 75012, Paris, France
| | - Lauriane Delay
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 17 rue Moreau, 75012, Paris, France
| | - Line Rahal
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 17 rue Moreau, 75012, Paris, France
| | - Julien Claron
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 17 rue Moreau, 75012, Paris, France
| | - Noémi Renaudin
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 17 rue Moreau, 75012, Paris, France
| | - Isabelle Rivals
- Equipe de Statistique Appliquée, ESPCI Paris, PSL Research University, UMRS 1158, 10 rue Vauquelin, 75005, Paris, France
| | - Miguel Thibaut
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 17 rue Moreau, 75012, Paris, France
| | - Mohamed Nouhoum
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 17 rue Moreau, 75012, Paris, France.,Iconeus, 27 Rue du Faubourg Saint-Jacques, 75014, Paris, France
| | - Thomas Deffieux
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 17 rue Moreau, 75012, Paris, France
| | - Mickael Tanter
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 17 rue Moreau, 75012, Paris, France
| | - Sophie Pezet
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 17 rue Moreau, 75012, Paris, France.
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28
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Yongyue Z, Yang S, Li Z, Rongjin Z, Shumin W. Functional Brain Imaging Based on the Neurovascular Unit for Evaluating Neural Networks after Strok. ADVANCED ULTRASOUND IN DIAGNOSIS AND THERAPY 2022. [DOI: 10.37015/audt.2022.210033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
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29
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Functional ultrasound imaging: A useful tool for functional connectomics? Neuroimage 2021; 245:118722. [PMID: 34800662 DOI: 10.1016/j.neuroimage.2021.118722] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 09/15/2021] [Accepted: 11/10/2021] [Indexed: 12/28/2022] Open
Abstract
Functional ultrasound (fUS) is a hemodynamic-based functional neuroimaging technique, primarily used in animal models, that combines a high spatiotemporal resolution, a large field of view, and compatibility with behavior. These assets make fUS especially suited to interrogating brain activity at the systems level. In this review, we describe the technical capabilities offered by fUS and discuss how this technique can contribute to the field of functional connectomics. First, fUS can be used to study intrinsic functional connectivity, namely patterns of correlated activity between brain regions. In this area, fUS has made the most impact by following connectivity changes in disease models, across behavioral states, or dynamically. Second, fUS can also be used to map brain-wide pathways associated with an external event. For example, fUS has helped obtain finer descriptions of several sensory systems, and uncover new pathways implicated in specific behaviors. Additionally, combining fUS with direct circuit manipulations such as optogenetics is an attractive way to map the brain-wide connections of defined neuronal populations. Finally, technological improvements and the application of new analytical tools promise to boost fUS capabilities. As brain coverage and the range of behavioral contexts that can be addressed with fUS keep on increasing, we believe that fUS-guided connectomics will only expand in the future. In this regard, we consider the incorporation of fUS into multimodal studies combining diverse techniques and behavioral tasks to be the most promising research avenue.
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30
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Gămănuţ R, Shimaoka D. Anatomical and functional connectomes underlying hierarchical visual processing in mouse visual system. Brain Struct Funct 2021; 227:1297-1315. [PMID: 34846596 DOI: 10.1007/s00429-021-02415-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 10/08/2021] [Indexed: 10/19/2022]
Abstract
Over the last 10 years, there has been a surge in interest in the rodent visual system resulting from the discovery of visual processing functions shared with primates V1, and of a complex anatomical structure in the extrastriate visual cortex. This surprisingly intricate visual system was elucidated by recent investigations using rapidly growing genetic tools primarily available in the mouse. Here, we examine the structural and functional connections of visual areas that have been identified in mice mostly during the past decade, and the impact of these findings on our understanding of brain functions associated with vision. Special attention is paid to structure-function relationships arising from the hierarchical organization, which is a prominent feature of the primate visual system. Recent evidence supports the existence of a hierarchical organization in rodents that contains levels that are poorly resolved relative to those observed in primates. This shallowness of the hierarchy indicates that the mouse visual system incorporates abundant non-hierarchical processing. Thus, the mouse visual system provides a unique opportunity to study non-hierarchical processing and its relation to hierarchical processing.
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Affiliation(s)
- Răzvan Gămănuţ
- Department of Physiology, Monash University, Melbourne, Australia
| | - Daisuke Shimaoka
- Department of Physiology, Monash University, Melbourne, Australia.
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31
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Edelman BJ, Ielacqua GD, Chan RW, Asaad M, Choy M, Lee JH. High-sensitivity detection of optogenetically-induced neural activity with functional ultrasound imaging. Neuroimage 2021; 242:118434. [PMID: 34333106 PMCID: PMC9584544 DOI: 10.1016/j.neuroimage.2021.118434] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Revised: 07/20/2021] [Accepted: 07/26/2021] [Indexed: 12/11/2022] Open
Abstract
Whole-brain imaging approaches and optogenetic manipulations are powerful tools to map brain-wide neural circuits in vivo. To date, functional magnetic resonance imaging (fMRI) provides the most comprehensive evaluation of such large-scale circuitry. However, functional ultrasound imaging (fUSI) has recently emerged as a complementary imaging modality that can extend such measurements towards the context of diverse behavioral states and tasks. Nevertheless, in order to properly interpret the fUSI signal during these complicated scenarios, it must first be carefully validated against well-established technologies, such as fMRI, in highly controlled experimental settings. Here, to address this need, we compared subsequent fMRI and fUSI recordings in response to direct neuronal activation via optogenetics in the same animals under an identical anesthetic protocol. Specifically, we applied various intensities of light stimulation to the primary motor cortex (M1) of mice and compared the spatiotemporal dynamics of the elicited fMRI and fUSI signals. Overall, our general linear model analysis (t-scores) and time series analysis (z-scores) revealed that fUSI was more sensitive than fMRI for detecting optogenetically-induced neuronal activation. Local field potential recordings in the bilateral M1 and striatum also better co-localized with fUSI activation patterns than those of fMRI. Finally, the fUSI response contained distinct arterial and venous components that provide vascular readouts of neuronal activity with vessel-type specificity.
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Affiliation(s)
- Bradley Jay Edelman
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
| | - Giovanna D Ielacqua
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
| | - Russell W Chan
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
| | - Mazen Asaad
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA; Department of Molecular and Cellular Physiology, Stanford University, Stanford, CA, 94305, USA
| | - Mankin Choy
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
| | - Jin Hyung Lee
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA; Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA; Department of Electrical Engineering, Stanford University, CA, 94305, USA; Department of Neurosurgery, Stanford University, Stanford, CA, 94305, USA.
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32
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Li YL, Hyun D, Ducey-Wysling J, Durot I, D'Hondt A, Patel BN, Dahl JJ. Real-Time In Vivo Imaging of Human Liver Vasculature Using Coherent Flow Power Doppler: A Pilot Clinical Study. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2021; 68:3027-3041. [PMID: 34003748 PMCID: PMC8515835 DOI: 10.1109/tuffc.2021.3081438] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Power Doppler (PD) is a commonly used technique for flow detection and vessel visualization in radiology clinics. Despite its broad set of applications, PD suffers from multiple noise sources and artifacts, such as thermal noise, clutter, and flash artifacts. In addition, a tradeoff exists between acquisition time and Doppler image quality. These limit the ability of clinical PD imaging in deep-lying and small-vessel detection and visualization, particularly among patients with high body mass indices (BMIs). To improve the Doppler vessel detection, we have previously proposed coherent flow PD (CFPD) imaging and demonstrated its performance on porcine vasculature. In this article, we report on a pilot clinical study of CFPD imaging on healthy human volunteers and patients with high BMI to assess the clinical feasibility of the technique in liver imaging. In this study, we built a real-time CFPD imaging system using a graphical processing unit (GPU)-based software beamformer and a CFPD processing module. Using the real-time CFPD imaging system, the liver vasculature of 15 healthy volunteers with normal BMI below 25 and 15 patients with BMI greater than 25 was imaged. Both PD and CFPD image streams were produced simultaneously. The generalized contrast-to-noise ratio (gCNR) of the PD and CFPD images was measured to provide the quantitative evaluation of image quality and vessel detectability. Comparison of PD and CFPD image shows that gCNR is improved by 35% in healthy volunteers and 28% in high BMI patients with CFPD compared to PD. Example images are provided to show that the improvement in the Doppler image gCNR leads to greater detection of small vessels in the liver. In addition, we show that CFPD can suppress in vivo reverberation clutter in clinical imaging.
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33
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Brunner C, Grillet M, Urban A, Roska B, Montaldo G, Macé E. Whole-brain functional ultrasound imaging in awake head-fixed mice. Nat Protoc 2021; 16:3547-3571. [PMID: 34089019 DOI: 10.1038/s41596-021-00548-8] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 03/30/2021] [Indexed: 12/13/2022]
Abstract
Most brain functions engage a network of distributed regions. Full investigation of these functions thus requires assessment of whole brains; however, whole-brain functional imaging of behaving animals remains challenging. This protocol describes how to follow brain-wide activity in awake head-fixed mice using functional ultrasound imaging, a method that tracks cerebral blood volume dynamics. We describe how to set up a functional ultrasound imaging system with a provided acquisition software (miniScan), establish a chronic cranial window (timing surgery: ~3-4 h) and image brain-wide activity associated with a stimulus at high resolution (100 × 110 × 300 µm and 10 Hz per brain slice, which takes ~45 min per imaging session). We include codes that enable data to be registered to a reference atlas, production of 3D activity maps, extraction of the activity traces of ~250 brain regions and, finally, combination of data from multiple sessions (timing analysis averages ~2 h). This protocol enables neuroscientists to observe global brain processes in mice.
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Affiliation(s)
- Clément Brunner
- Neuro-Electronics Research Flanders, Leuven, Belgium
- VIB, Leuven, Belgium
- Imec, Leuven, Belgium
- Department of Neurosciences, KU Leuven, Leuven, Belgium
| | - Micheline Grillet
- Neuro-Electronics Research Flanders, Leuven, Belgium
- VIB, Leuven, Belgium
- Imec, Leuven, Belgium
- Department of Neurosciences, KU Leuven, Leuven, Belgium
| | - Alan Urban
- Neuro-Electronics Research Flanders, Leuven, Belgium
- VIB, Leuven, Belgium
- Imec, Leuven, Belgium
- Department of Neurosciences, KU Leuven, Leuven, Belgium
| | - Botond Roska
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
- University of Basel, Basel, Switzerland
- NCCR Molecular Systems Engineering, Basel, Switzerland
| | - Gabriel Montaldo
- Neuro-Electronics Research Flanders, Leuven, Belgium.
- VIB, Leuven, Belgium.
- Imec, Leuven, Belgium.
- Department of Neurosciences, KU Leuven, Leuven, Belgium.
| | - Emilie Macé
- Brain-Wide Circuits for Behavior Lab, Max Planck Institute of Neurobiology, Martinsried, Germany.
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34
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Bernier LP, Brunner C, Cottarelli A, Balbi M. Location Matters: Navigating Regional Heterogeneity of the Neurovascular Unit. Front Cell Neurosci 2021; 15:696540. [PMID: 34276312 PMCID: PMC8277940 DOI: 10.3389/fncel.2021.696540] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 05/31/2021] [Indexed: 12/27/2022] Open
Abstract
The neurovascular unit (NVU) of the brain is composed of multiple cell types that act synergistically to modify blood flow to locally match the energy demand of neural activity, as well as to maintain the integrity of the blood-brain barrier (BBB). It is becoming increasingly recognized that the functional specialization, as well as the cellular composition of the NVU varies spatially. This heterogeneity is encountered as variations in vascular and perivascular cells along the arteriole-capillary-venule axis, as well as through differences in NVU composition throughout anatomical regions of the brain. Given the wide variations in metabolic demands between brain regions, especially those of gray vs. white matter, the spatial heterogeneity of the NVU is critical to brain function. Here we review recent evidence demonstrating regional specialization of the NVU between brain regions, by focusing on the heterogeneity of its individual cellular components and briefly discussing novel approaches to investigate NVU diversity.
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Affiliation(s)
- Louis-Philippe Bernier
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
| | - Clément Brunner
- Neuro-Electronics Research Flanders, Leuven, Belgium.,Vlaams Instituut voor Biotechnologie, Leuven, Belgium.,Interuniversity Microeletronics Centre, Leuven, Belgium.,Department of Neurosciences, KU Leuven, Leuven, Belgium
| | | | - Matilde Balbi
- Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
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35
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Edelman BJ, Macé E. Functional ultrasound brain imaging: Bridging networks, neurons, and behavior. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2021. [DOI: 10.1016/j.cobme.2021.100286] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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36
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Chen Y, Chen B, Yu T, Yin L, Sun M, He W, Ma C. Photoacoustic Mouse Brain Imaging Using an Optical Fabry-Pérot Interferometric Ultrasound Sensor. Front Neurosci 2021; 15:672788. [PMID: 34079437 PMCID: PMC8165253 DOI: 10.3389/fnins.2021.672788] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 04/22/2021] [Indexed: 11/29/2022] Open
Abstract
Photoacoustic (PA, or optoacoustic, OA) mesoscopy is a powerful tool for mouse cerebral imaging, which offers high resolution three-dimensional (3D) images with optical absorption contrast inside the optically turbid brain. The image quality of a PA mesoscope relies on the ultrasonic transducer which detects the PA signals. An all-optical ultrasound sensor based on a Fabry-Pérot (FP) polymer cavity has the following advantages: broadband frequency response, wide angular coverage and small footprint. Here, we present 3D PA mesoscope for mouse brain imaging using such an optical sensor. A heating laser was used to stabilize the sensor's cavity length during the imaging process. To acquire data for a 3D angiogram of the mouse brain, the sensor was mounted on a translation stage and raster scanned. 3D images of the mouse brain vasculature were reconstructed which showed cerebrovascular structure up to a depth of 8 mm with high quality. Imaging segmentation and dual wavelength imaging were performed to demonstrate the potential of the system in preclinical brain research.
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Affiliation(s)
- Yuwen Chen
- Department of Electronic Engineering, Tsinghua University, Beijing, China
| | - Buhua Chen
- Department of Electronic Engineering, Tsinghua University, Beijing, China
| | - Tengfei Yu
- Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Lu Yin
- Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Mingjian Sun
- School of Information Science and Engineering, Harbin Institute of Technology, Weihai, China
- School of Astronautics, Harbin Institute of Technology, Harbin, China
| | - Wen He
- Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Cheng Ma
- Department of Electronic Engineering, Tsinghua University, Beijing, China
- Beijing National Research Center for Information Science and Technology, Beijing, China
- Beijing Innovation Center for Future Chip, Beijing, China
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37
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Norman SL, Maresca D, Christopoulos VN, Griggs WS, Demene C, Tanter M, Shapiro MG, Andersen RA. Single-trial decoding of movement intentions using functional ultrasound neuroimaging. Neuron 2021; 109:1554-1566.e4. [PMID: 33756104 PMCID: PMC8105283 DOI: 10.1016/j.neuron.2021.03.003] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 12/29/2020] [Accepted: 03/01/2021] [Indexed: 12/18/2022]
Abstract
New technologies are key to understanding the dynamic activity of neural circuits and systems in the brain. Here, we show that a minimally invasive approach based on ultrasound can be used to detect the neural correlates of movement planning, including directions and effectors. While non-human primates (NHPs) performed memory-guided movements, we used functional ultrasound (fUS) neuroimaging to record changes in cerebral blood volume with 100 μm resolution. We recorded from outside the dura above the posterior parietal cortex, a brain area important for spatial perception, multisensory integration, and movement planning. We then used fUS signals from the delay period before movement to decode the animals' intended direction and effector. Single-trial decoding is a prerequisite to brain-machine interfaces, a key application that could benefit from this technology. These results are a critical step in the development of neuro-recording and brain interface tools that are less invasive, high resolution, and scalable.
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Affiliation(s)
- Sumner L Norman
- Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - David Maresca
- Chemistry & Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Vassilios N Christopoulos
- Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA; T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA 91125, USA
| | - Whitney S Griggs
- Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Charlie Demene
- Physics for Medicine Paris, INSERM, CNRS, ESPCI Paris, PSL Research University, 75012 Paris, France; INSERM Technology Research Accelerator in Biomedical Ultrasound, Paris, France
| | - Mickael Tanter
- Physics for Medicine Paris, INSERM, CNRS, ESPCI Paris, PSL Research University, 75012 Paris, France; INSERM Technology Research Accelerator in Biomedical Ultrasound, Paris, France
| | - Mikhail G Shapiro
- Chemistry & Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
| | - Richard A Andersen
- Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA; T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA 91125, USA.
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38
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Claron J, Hingot V, Rivals I, Rahal L, Couture O, Deffieux T, Tanter M, Pezet S. Large-scale functional ultrasound imaging of the spinal cord reveals in-depth spatiotemporal responses of spinal nociceptive circuits in both normal and inflammatory states. Pain 2021; 162:1047-1059. [PMID: 32947542 PMCID: PMC7977620 DOI: 10.1097/j.pain.0000000000002078] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 07/28/2020] [Accepted: 08/20/2020] [Indexed: 12/13/2022]
Abstract
Despite a century of research on the physiology/pathophysiology of the spinal cord in chronic pain condition, the properties of the spinal cord were rarely studied at the large-scale level from a neurovascular point of view. This is mostly due to the limited spatial and/or temporal resolution of the available techniques. Functional ultrasound imaging (fUS) is an emerging neuroimaging approach that allows, through the measurement of cerebral blood volume, the study of brain functional connectivity or functional activations with excellent spatial (100 μm) and temporal (1 msec) resolutions and a high sensitivity. The aim of this study was to increase our understanding of the spinal cord physiology through the study of the properties of spinal hemodynamic response to the natural or electrical stimulation of afferent fibers. Using a combination of fUS and ultrasound localization microscopy, the first step of this study was the fine description of the vascular structures in the rat spinal cord. Then, using either natural or electrical stimulations of different categories of afferent fibers (Aβ, Aδ, and C fibers), we could define the characteristics of the typical hemodynamic response of the rat spinal cord experimentally. We showed that the responses are fiber-specific, located ipsilaterally in the dorsal horn, and that they follow the somatotopy of afferent fiber entries in the dorsal horn and that the C-fiber response is an N-methyl-D-aspartate receptor-dependent mechanism. Finally, fUS imaging of the mesoscopic hemodynamic response induced by natural tactile stimulations revealed a potentiated response in inflammatory condition, suggesting an enhanced response to allodynic stimulations.
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Affiliation(s)
- Julien Claron
- Laboratory of Brain Plasticity, ESPCI Paris, PSL Research University, CNRS UMR 8249, Paris, France
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research, University, Paris, France
| | - Vincent Hingot
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research, University, Paris, France
| | - Isabelle Rivals
- Equipe de Statistique Appliquée, ESPCI Paris, PSL Research University, CNRS UMRS 1158, Paris, France
| | - Line Rahal
- Laboratory of Brain Plasticity, ESPCI Paris, PSL Research University, CNRS UMR 8249, Paris, France
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research, University, Paris, France
| | - Olivier Couture
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research, University, Paris, France
| | - Thomas Deffieux
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research, University, Paris, France
| | - Mickael Tanter
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research, University, Paris, France
| | - Sophie Pezet
- Laboratory of Brain Plasticity, ESPCI Paris, PSL Research University, CNRS UMR 8249, Paris, France
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research, University, Paris, France
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39
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Deffieux T, Demené C, Tanter M. Functional Ultrasound Imaging: A New Imaging Modality for Neuroscience. Neuroscience 2021; 474:110-121. [PMID: 33727073 DOI: 10.1016/j.neuroscience.2021.03.005] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 02/26/2021] [Accepted: 03/02/2021] [Indexed: 12/15/2022]
Abstract
Ultrasound sensitivity to slow blood flow motion gained two orders of magnitude in the last decade thanks to the advent of ultrafast ultrasound imaging at thousands of frames per second. In neuroscience, this access to small cerebral vessels flow led to the introduction of ultrasound as a new and full-fledged neuroimaging modality. Much as functional MRI or functional optical imaging, functional Ultrasound (fUS) takes benefit of the neurovascular coupling. Its ease of use, portability, spatial and temporal resolution makes it an attractive tool for functional imaging of brain activity in preclinical imaging. A large and fast-growing number of studies in a wide variety of small to large animal models have demonstrated its potential for neuroscience research. Beyond preclinical imaging, first proof of concept applications in humans are promising and proved a clear clinical interest in particular in human neonates, per-operative surgery, or even for the development of non-invasive brain machine interfaces.
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Affiliation(s)
- Thomas Deffieux
- Institute of Physics for Medicine Paris, INSERM U1273, ESPCI Paris, CNRS UMR 8063, PSL Université Recherche, Paris, France.
| | - Charlie Demené
- Institute of Physics for Medicine Paris, INSERM U1273, ESPCI Paris, CNRS UMR 8063, PSL Université Recherche, Paris, France
| | - Mickael Tanter
- Institute of Physics for Medicine Paris, INSERM U1273, ESPCI Paris, CNRS UMR 8063, PSL Université Recherche, Paris, France
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40
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Kang J, Go D, Song I, Yoo Y. Ultrafast Power Doppler Imaging Using Frame-Multiply-and-Sum-Based Nonlinear Compounding. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2021; 68:453-464. [PMID: 32746224 DOI: 10.1109/tuffc.2020.3011708] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Ultrafast power Doppler imaging based on coherent compounding (UPDI-CC) has become a promising technique for microvascular imaging due to its high sensitivity to slow blood flows. However, since this method utilizes a limited number of plane-wave or diverging-wave transmissions for high-frame-rate imaging, it suffers from degraded image quality because of the low contrast resolution. In this article, an ultrafast power Doppler imaging method based on a nonlinear compounding framework, called frame-multiply-and-sum (UPDI-FMAS), is proposed to improve contrast resolution. In UPDI-FMAS, unlike conventional channel-domain delay-multiply-and-sum (DMAS) beamforming, the signal coherence is estimated based on autocorrelation function over plane-wave angle frames. To avoid phase distortion of blood flow signals during the autocorrelation process, clutter filtering is preferentially applied to individual beamformed plane-wave data set. Therefore, only coherent blood flow signals are emphasized, while incoherent background noise is suppressed. The performance of the UPDI-FMAS was evaluated with simulation, phantom, and in vivo studies. For the simulation and phantom studies with a constant laminar flow, the UPDI-FMAS showed improvements in the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) to those of UPDI-CC, i.e., over 10 and 7 dB for 13 plane waves, respectively, and the performances were improved as the number of plane waves increased. Moreover, the enhancement of the image quality due to the increased SNR and CNR in UPDI-FMAS was more clearly depicted with the in vivo study, in which a human kidney and a tumor-bearing mouse were evaluated. These results indicate that the FMAS compounding can improve the image quality of UPDI for microvascular imaging without loss of temporal resolution.
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41
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Nayak R, Lee J, Chantigian S, Fatemi M, Chang SY, Alizad A. Imaging the response to deep brain stimulation in rodent using functional ultrasound. Phys Med Biol 2021; 66:05LT01. [PMID: 33482648 PMCID: PMC7920924 DOI: 10.1088/1361-6560/abdee5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
In this study, we explored the feasibility of using functional ultrasound (fUS) imaging to visualize cerebral activation associated with thalamic deep brain stimulation (DBS), in rodents. The ventrolateral (VL) thalamus was stimulated using electrical pulses of low and high frequencies of 10 and 100 Hz, respectively, and multiple voltages (1-7 V) and pulse widths (50-1500 μs). The fUS imaging demonstrated DBS-evoked activation of cerebral cortex based on changes of cerebral blood volume, specifically at the primary motor cortex (PMC). Low frequency stimulation (LFS) demonstrated significantly higher PMC activation compared to higher frequency stimulation (HFS), at intensities (5-7 V). Whereas, at lower intensities (1-3 V), only HFS demonstrated visible PMC activation. Further, LFS-evoked cerebral activation was was primarily located at the PMC. Our data presents the functionality and feasibility of fUS imaging as an investigational tool to identify brain areas associated with DBS. This preliminary study is an important stepping stone towards conducting real-time functional ultrasound imaging of DBS in awake and behaving animal models, which is of significant interest to the community for studying motor-related disorders.
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Affiliation(s)
- Rohit Nayak
- Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota 55902, United States
| | - Jeyeon Lee
- Department of Neurologic Surgery, Mayo Clinic College of Medicine and Science, Rochester, Minnesota 55902, United States
| | - Siobhan Chantigian
- Department of Neurologic Surgery, Mayo Clinic College of Medicine and Science, Rochester, Minnesota 55902, United States
| | - Mostafa Fatemi
- Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, Minnesota 55902, United States
| | - Su-Youne Chang
- Department of Neurologic Surgery, Mayo Clinic College of Medicine and Science, Rochester, Minnesota 55902, United States
- Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, Minnesota 55902, United States
| | - Azra Alizad
- Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota 55902, United States
- Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, Minnesota 55902, United States
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42
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Tang J, Kilic K, Szabo TL, Boas DA. Improved Color Doppler for Cerebral Blood Flow Axial Velocity Imaging. IEEE TRANSACTIONS ON MEDICAL IMAGING 2021; 40:758-764. [PMID: 33156785 PMCID: PMC8098776 DOI: 10.1109/tmi.2020.3036468] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Conventional color Doppler ultrasound imaging suffers from mutual frequency cancellation when applied to quantify axial blood flow velocities in the rodent brain where inverse flows exist within an ultrasound measurement voxel. Here, we report an improved color Doppler-based functional ultrasound imaging method (iCD-fUS) for axial blood flow velocity imaging of the rodent brain. By applying a directional filter and high frequency noise thresholding, iCD-fUS is able to accurately quantify blood flow velocities within the brain as validated with the ultrasound localization microscopy velocimetry method. We show that iCD-fUS is able to image and resolve the directional axial blood flow velocity throughout the entire coronal section of the brain at a temporal frame rate of up to 10 Hz with a spatial resolution of ~100 [Formula: see text]. We further applied iCD-fUS to image the axial blood flow velocity change in response to whisker stimulation in an awake mouse, showing its potential for studying brain activation. With these capabilities, iCD-fUS provides a powerful, quantitative tool for in vivo chronic research.
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43
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Vidal B, Droguerre M, Venet L, Zimmer L, Valdebenito M, Mouthon F, Charvériat M. Functional ultrasound imaging to study brain dynamics: Application of pharmaco-fUS to atomoxetine. Neuropharmacology 2020; 179:108273. [DOI: 10.1016/j.neuropharm.2020.108273] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 07/29/2020] [Accepted: 08/10/2020] [Indexed: 12/20/2022]
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44
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Brunner C, Grillet M, Sans-Dublanc A, Farrow K, Lambert T, Macé E, Montaldo G, Urban A. A Platform for Brain-wide Volumetric Functional Ultrasound Imaging and Analysis of Circuit Dynamics in Awake Mice. Neuron 2020; 108:861-875.e7. [PMID: 33080230 DOI: 10.1016/j.neuron.2020.09.020] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 08/12/2020] [Accepted: 09/14/2020] [Indexed: 01/31/2023]
Abstract
Imaging large-scale circuit dynamics is crucial to understanding brain function, but most techniques have a limited depth of field. Here, we describe volumetric functional ultrasound imaging (vfUSI), a platform for brain-wide vfUSI of hemodynamic activity in awake head-fixed mice. We combined a high-frequency 1,024-channel 2D-array transducer with advanced multiplexing and high-performance computing for real-time 3D power Doppler imaging at a high spatiotemporal resolution (220 × 280 × 175 μm3, up to 6 Hz). We developed a standardized software pipeline for registration, segmentation, and temporal analysis in 268 individual brain regions based on the Allen Mouse Common Coordinate Framework. We demonstrated the high sensitivity of vfUSI under multiple experimental conditions, and we successfully imaged stimulus-evoked activity when only a few trials were averaged. We also mapped neural circuits in vivo across the whole brain during optogenetic activation of specific cell types. Moreover, we identified the sequential activation of sensory-motor networks during a grasping water-droplet task.
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Affiliation(s)
- Clément Brunner
- Neuro-Electronics Research Flanders, Leuven, Belgium; VIB, Leuven, Belgium; Imec, Leuven, Belgium; Department of Neuroscience, Faculty of Medicine, KU Leuven, Leuven, Belgium
| | - Micheline Grillet
- Neuro-Electronics Research Flanders, Leuven, Belgium; VIB, Leuven, Belgium; Imec, Leuven, Belgium; Department of Neuroscience, Faculty of Medicine, KU Leuven, Leuven, Belgium
| | - Arnau Sans-Dublanc
- Neuro-Electronics Research Flanders, Leuven, Belgium; VIB, Leuven, Belgium; Imec, Leuven, Belgium; Department of Biology, Faculty of Science, KU Leuven, Leuven, Belgium
| | - Karl Farrow
- Neuro-Electronics Research Flanders, Leuven, Belgium; VIB, Leuven, Belgium; Imec, Leuven, Belgium; Department of Biology, Faculty of Science, KU Leuven, Leuven, Belgium
| | - Théo Lambert
- Neuro-Electronics Research Flanders, Leuven, Belgium; VIB, Leuven, Belgium; Imec, Leuven, Belgium; Department of Neuroscience, Faculty of Medicine, KU Leuven, Leuven, Belgium
| | - Emilie Macé
- Brain-Wide Circuits for Behavior Research Group, Max Planck Institute of Neurobiology, Martinsried, Germany
| | - Gabriel Montaldo
- Neuro-Electronics Research Flanders, Leuven, Belgium; VIB, Leuven, Belgium; Imec, Leuven, Belgium; Department of Neuroscience, Faculty of Medicine, KU Leuven, Leuven, Belgium
| | - Alan Urban
- Neuro-Electronics Research Flanders, Leuven, Belgium; VIB, Leuven, Belgium; Imec, Leuven, Belgium; Department of Neuroscience, Faculty of Medicine, KU Leuven, Leuven, Belgium.
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45
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Rabut C, Yoo S, Hurt RC, Jin Z, Li H, Guo H, Ling B, Shapiro MG. Ultrasound Technologies for Imaging and Modulating Neural Activity. Neuron 2020; 108:93-110. [PMID: 33058769 PMCID: PMC7577369 DOI: 10.1016/j.neuron.2020.09.003] [Citation(s) in RCA: 111] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 08/25/2020] [Accepted: 09/01/2020] [Indexed: 02/06/2023]
Abstract
Visualizing and perturbing neural activity on a brain-wide scale in model animals and humans is a major goal of neuroscience technology development. Established electrical and optical techniques typically break down at this scale due to inherent physical limitations. In contrast, ultrasound readily permeates the brain, and in some cases the skull, and interacts with tissue with a fundamental resolution on the order of 100 μm and 1 ms. This basic ability has motivated major efforts to harness ultrasound as a modality for large-scale brain imaging and modulation. These efforts have resulted in already-useful neuroscience tools, including high-resolution hemodynamic functional imaging, focused ultrasound neuromodulation, and local drug delivery. Furthermore, recent breakthroughs promise to connect ultrasound to neurons at the genetic level for biomolecular imaging and sonogenetic control. In this article, we review the state of the art and ongoing developments in ultrasonic neurotechnology, building from fundamental principles to current utility, open questions, and future potential.
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Affiliation(s)
- Claire Rabut
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Sangjin Yoo
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Robert C Hurt
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Zhiyang Jin
- Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Hongyi Li
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Hongsun Guo
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Bill Ling
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Mikhail G Shapiro
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA.
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46
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Multimodal Detection for Cryptogenic Epileptic Seizures Based on Combined Micro Sensors. BIOMED RESEARCH INTERNATIONAL 2020; 2020:5734932. [PMID: 32964037 PMCID: PMC7492941 DOI: 10.1155/2020/5734932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 07/24/2020] [Accepted: 08/17/2020] [Indexed: 12/02/2022]
Abstract
The cryptogenic epilepsy of the neocortex is a disease in which the seizure is accompanied by intense cerebral nerve electrical activities but the lesions are not observed. It is difficult to locate disease foci. Electrocorticography (ECoG) is one of the gold standards in seizure focus localization. This method detects electrical signals, and its limitations are inadequate resolution which is only 10 mm and lack of depth information. In order to solve these problems, our new method with implantable micro ultrasound transducer (MUT) and photoplethysmogram (PPG) device detects blood changes to achieve higher resolution and provide depth information. The basis of this method is the neurovascular coupling mechanism, which shows that intense neural activity leads to sufficient cerebral blood volume (CBV). The neurovascular coupling mechanism established the relationship between epileptic electrical signals and CBV. The existence of mechanism enables us to apply our new methods on the basis of ECoG. Phantom experiments and in vivo experiments were designed to verify the proposed method. The first phantom experiments designed a phantom with two channels at different depths, and the MUT was used to detect the depth where the blood concentration changed. The results showed that the MUT detected the blood concentration change at the depth of 12 mm, which is the position of the second channel. In the second phantom experiments where a PPG device and MUT were used to monitor the change of blood concentration in a thick tube, the results showed that the trend of superficial blood concentration change provided by the PPG device is the same as that provided by the MUT within the depth of 2.5 mm. Finally, in the verification of in vivo experiments, the blood concentration changes on the surface recorded by the PPG device and the changes at a certain depth recorded by the MUT all matched the seizure status shown by ECoG. These results confirmed the effectiveness of the combined micro sensors.
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47
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Tang S, Song P, Trzasko JD, Lowerison M, Huang C, Gong P, Lok UW, Manduca A, Chen S. Kalman Filter-Based Microbubble Tracking for Robust Super-Resolution Ultrasound Microvessel Imaging. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2020; 67:1738-1751. [PMID: 32248099 PMCID: PMC7485263 DOI: 10.1109/tuffc.2020.2984384] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Contrast microbubble (MB)-based super-resolution ultrasound microvessel imaging (SR-UMI) overcomes the compromise in conventional ultrasound imaging between spatial resolution and penetration depth and has been successfully applied to a wide range of clinical applications. However, clinical translation of SR-UMI remains challenging due to the limited number of MBs detected within a given accumulation time. Here, we propose a Kalman filter-based method for robust MB tracking and improved blood flow speed measurement with reduced numbers of MBs. An acceleration constraint and a direction constraint for MB movement were developed to control the quality of the estimated MB trajectory. An adaptive interpolation approach was developed to inpaint the missing microvessel signal based on the estimated local blood flow speed, facilitating more robust depiction of microvasculature with a limited amount of MBs. The proposed method was validated on an ex ovo chorioallantoic membrane and an in vivo rabbit kidney. Results demonstrated improved imaging performance on both microvessel density maps and blood flow speed maps. With the proposed method, the percentage of microvessel filling in a selected blood vessel at a given accumulation period was increased from 28.17% to 74.45%. A similar SR-UMI performance was achieved with MB numbers reduced by 85.96%, compared to that with the original MB number. The results indicate that the proposed method substantially improves the robustness of SR-UMI under a clinically relevant imaging scenario where SR-UMI is challenged by a limited MB accumulation time, reduced number of MBs, lowered imaging frame rate, and degraded signal-to-noise ratio.
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Affiliation(s)
- Shanshan Tang
- Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905
| | - Pengfei Song
- Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801
| | - Joshua D. Trzasko
- Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905
| | - Matthew Lowerison
- Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801
| | - Chengwu Huang
- Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905
| | - Ping Gong
- Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905
| | - U-Wai Lok
- Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905
| | - Armando Manduca
- Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, MN 55905
| | - Shigao Chen
- Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905
- Corresponding Author: Shigao Chen ()
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48
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Tang J, Postnov DD, Kilic K, Erdener SE, Lee B, Giblin JT, Szabo TL, Boas DA. Functional Ultrasound Speckle Decorrelation-Based Velocimetry of the Brain. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2020; 7:2001044. [PMID: 32999839 PMCID: PMC7509671 DOI: 10.1002/advs.202001044] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 05/20/2020] [Indexed: 05/25/2023]
Abstract
A high-speed, contrast-free, quantitative ultrasound velocimetry (vUS) for blood flow velocity imaging throughout the rodent brain is developed based on the normalized first-order temporal autocorrelation function of the ultrasound field signal. vUS is able to quantify blood flow velocity in both transverse and axial directions, and is validated with numerical simulation, phantom experiments, and in vivo measurements. The functional imaging ability of vUS is demonstrated by monitoring the blood flow velocity changes during whisker stimulation in awake mice. Compared to existing Power-Doppler- and Color-Doppler-based functional ultrasound imaging techniques, vUS shows quantitative accuracy in estimating both axial and transverse flow speeds and resistance to acoustic attenuation and high-frequency noise.
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Affiliation(s)
- Jianbo Tang
- Neurophotonics CenterDepartment of Biomedical EngineeringBoston UniversityBostonMA02215USA
| | - Dmitry D. Postnov
- Neurophotonics CenterDepartment of Biomedical EngineeringBoston UniversityBostonMA02215USA
- Biomedical Sciences InstituteCopenhagen UniversityCopenhagen2200Denmark
| | - Kivilcim Kilic
- Neurophotonics CenterDepartment of Biomedical EngineeringBoston UniversityBostonMA02215USA
| | - Sefik Evren Erdener
- Neurophotonics CenterDepartment of Biomedical EngineeringBoston UniversityBostonMA02215USA
| | - Blaire Lee
- Neurophotonics CenterDepartment of Biomedical EngineeringBoston UniversityBostonMA02215USA
| | - John T. Giblin
- Neurophotonics CenterDepartment of Biomedical EngineeringBoston UniversityBostonMA02215USA
| | - Thomas L. Szabo
- Neurophotonics CenterDepartment of Biomedical EngineeringBoston UniversityBostonMA02215USA
| | - David A. Boas
- Neurophotonics CenterDepartment of Biomedical EngineeringBoston UniversityBostonMA02215USA
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Vidal B, Droguerre M, Valdebenito M, Zimmer L, Hamon M, Mouthon F, Charvériat M. Pharmaco-fUS for Characterizing Drugs for Alzheimer's Disease - The Case of THN201, a Drug Combination of Donepezil Plus Mefloquine. Front Neurosci 2020; 14:835. [PMID: 32903470 PMCID: PMC7437134 DOI: 10.3389/fnins.2020.00835] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 07/17/2020] [Indexed: 01/29/2023] Open
Abstract
Donepezil is a potent acetylcholinesterase inhibitor, largely used worldwide to alleviate cognitive symptoms in Alzheimer’s disease (AD). Beyond the widely described neuronal impact of donepezil, it was recently shown that targeting connexins, the proteins involved in astrocyte network organization, potentiates donepezil efficacy profile using behavioral tests in AD rodent models. We herein present data demonstrating the potential of functional ultrasound imaging to monitor cerebral activity changes after pharmacological challenge in mice. As an example, we showed that although administration of donepezil or mefloquine alone at low dose had only very limited effects on the signal compared to the baseline, their combination produced marked hemodynamic effects in the hippocampus, in line with previously published behavioral data demonstrating a synergic interaction between both drugs. Thus, the present study provides new perspectives, (i) through the use of pharmaco-fUS, a new non-clinical imaging modality, to move forward drug discovery in AD and (ii) by the profiling of two drug treatments on brain dynamics, one used in AD: donepezil, and the other in development: donepezil combined with mefloquine (THN201) as a modulator of astrocyte network.
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Affiliation(s)
- Benjamin Vidal
- Theranexus, Lyon, France.,Lyon Neuroscience Research Center, Université de Lyon, INSERM, CNRS, Bron, France
| | | | | | - Luc Zimmer
- Lyon Neuroscience Research Center, Université de Lyon, INSERM, CNRS, Bron, France.,CERMEP-Imagerie du Vivant, Bron, France.,Hospices Civils de Lyon, Lyon, France
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Changes in spinal cord hemodynamics reflect modulation of spinal network with different parameters of epidural stimulation. Neuroimage 2020; 221:117183. [PMID: 32702485 PMCID: PMC7802109 DOI: 10.1016/j.neuroimage.2020.117183] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 06/04/2020] [Accepted: 07/16/2020] [Indexed: 11/29/2022] Open
Abstract
In this study functional ultrasound (fUS) imaging has been implemented to explore the local hemodynamics response induced by electrical epidural stimulation and to study real-time in vivo functional changes of the spinal cord, taking advantage of the superior spatiotemporal resolution provided by fUS. By quantifying the hemodynamics and electromyographic response features, we tested the hypothesis that the temporal hemodynamics response of the spinal cord to electrical epidural stimulation could reflect modulation of the spinal circuitry and accordingly respond to the changes in parameters of electrical stimulation. The results of this study for the first time demonstrate that the hemodynamics response to electrical stimulation could reflect a neural-vascular coupling of the spinal cord. Response in the dorsal areas to epidural stimulation was significantly higher and faster compared to the response in ventral spinal cord. Positive relation between the hemodynamics and the EMG responses was observed at the lower frequencies of epidural stimulation (20 and 40 Hz), which according to our previous findings can facilitate spinal circuitry after spinal cord injury, compared to higher frequencies (200 and 500 Hz). These findings suggest that different mechanisms could be involved in spinal cord hemodynamics changes during different parameters of electrical stimulation and for the first time provide the evidence that neural-vascular coupling of the spinal cord circuitry could be related to specific organization of spinal cord vasculature and hemodynamics.
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