[
    {
        "id": "data:knnyt-x4762",
        "collection": "data",
        "collection_id": "knnyt-x4762",
        "cite_using_url": "https://data.caltech.edu/records/knnyt-x4762",
        "type": "dataset",
        "title": "Real-time Volumetric Imaging of Cells and Molecules in Deep Tissues with Takoyaki Ultrasound",
        "author": [
            {
                "family_name": "Lee",
                "given_name": "Sunho",
                "orcid": "0009-0008-9871-7929"
            },
            {
                "family_name": "Wu",
                "given_name": "Di",
                "orcid": "0000-0002-6848-668X"
            },
            {
                "family_name": "Malounda",
                "given_name": "Dina",
                "orcid": "0000-0001-7086-9877"
            },
            {
                "family_name": "Rabut",
                "given_name": "Claire",
                "orcid": "0000-0002-4571-1215"
            },
            {
                "family_name": "Shapiro",
                "given_name": "Mikhail G.",
                "orcid": "0000-0002-0291-4215"
            }
        ],
        "abstract": "<p>The dataset for reproducing the figures in \"Real-time Volumetric Imaging of Cells and Molecules in Deep Tissues with Takoyaki Ultrasound\".&nbsp;</p><p>&nbsp;</p><p><strong>Abstract of </strong>\"Real-time Volumetric Imaging of Cells and Molecules in Deep Tissues with Takoyaki Ultrasound\"</p><p>Acoustic contrast agents and reporter genes play a critical role in allowing ultrasound to visualize blood flow, map molecules and track cellular function in opaque living organisms. However, existing ultrasound methods to image acoustic contrast agents predominantly focus on 2D planar imaging, while the biological phenomena of interest unfurl in three dimensions. Here, we introduce a method for efficient, dynamic imaging of contrast agents and reporter genes in 3D using multiplexed matrix array transducers. Our \"Takoyaki\" pulse sequence uses the simultaneous scanning of multiple focal points to excite contrast agents with sufficient acoustic pressure for nonlinear imaging while efficiently covering 3D space. Through <i>in vitro</i> experiments, we first show that the Takoyaki sequence produces highly sensitive volume images of gas vesicle contrast agents and compare its performance with alternative imaging schemes. We then establish its utility in cellular imaging <i>in vivo</i> by visualizing acoustic reporter gene-expressing tumors in a mouse model of glioblastoma. Finally, we demonstrate real-time volumetric imaging by tracking the dynamics of fluid motion in brain ventricles after intraventricular contrast injection. Takoyaki imaging enables a more comprehensive understanding of biological processes by providing spatiotemporal information in 3D within the constraints of accessible multiplexed matrix array systems.</p>",
        "doi": "10.22002/knnyt-x4762",
        "publisher": "CaltechDATA",
        "publication_date": "2025-06-11"
    },
    {
        "id": "data:p5jan-02r60",
        "collection": "data",
        "collection_id": "p5jan-02r60",
        "cite_using_url": "https://data.caltech.edu/records/p5jan-02r60",
        "type": "dataset",
        "title": "Dataset for: Functional ultrasound neuroimaging reveals mesoscopic organization of saccades in the lateral intraparietal area",
        "author": [
            {
                "family_name": "Griggs",
                "given_name": "Whitney",
                "orcid": "0000-0003-2941-6803"
            },
            {
                "family_name": "Norman",
                "given_name": "Sumner",
                "orcid": "0000-0001-9945-697X"
            },
            {
                "family_name": "Tanter",
                "given_name": "Mickael",
                "orcid": "0000-0001-7739-8051"
            },
            {
                "family_name": "Liu",
                "given_name": "Charles"
            },
            {
                "family_name": "Christopoulos",
                "given_name": "Vasileios",
                "orcid": "0000-0002-0541-8700"
            },
            {
                "family_name": "Shapiro",
                "given_name": "Mikhail G.",
                "orcid": "0000-0002-0291-4215"
            },
            {
                "family_name": "Andersen",
                "given_name": "Richard A.",
                "orcid": "0000-0002-7947-0472"
            }
        ],
        "abstract": "<p>This dataset accompanies \"Functional ultrasound neuroimaging reveals mesoscopic organization of saccades in the lateral intraparietal area\".</p><p><strong>Abstract of \"Functional ultrasound neuroimaging reveals mesoscopic organization of saccades in the lateral intraparietal area\"</strong></p><p>The lateral intraparietal cortex (LIP), contained within the posterior parietal cortex (PPC), is crucial for transforming spatial information into saccadic eye movements, yet its functional organization for movement direction remains unclear. Here, we used functional ultrasound imaging (fUSI), a technique with high sensitivity, large spatial coverage, and good spatial resolution, to map movement direction encoding across the PPC by recording local changes in cerebral blood volume within PPC as two monkeys performed memory-guided saccades. Our analysis revealed a heterogeneous organization where small patches of neighboring LIP cortex encoded different directions. These subregions demonstrated consistent tuning across several months to years. A rough topography emerged where anterior LIP represented more contralateral downward movements and posterior LIP represented more contralateral upward movements. These results address two fundamental gaps in our understanding of LIP's functional organization: the neighborhood organization of patches and the stability of these populations across long periods of time. By tracking LIP populations over extended periods, we developed mesoscopic maps of direction specificity previously unattainable with fMRI or electrophysiology methods.</p>",
        "doi": "10.22002/p5jan-02r60",
        "publisher": "CaltechDATA",
        "publication_date": "2025-04-01"
    },
    {
        "id": "data:f3y3k-em558",
        "collection": "data",
        "collection_id": "f3y3k-em558",
        "cite_using_url": "https://data.caltech.edu/records/f3y3k-em558",
        "type": "dataset",
        "title": "Dataset for: A window to the brain: ultrasound imaging of human neural activity through an acoustically transparent cranial prosthetic",
        "author": [
            {
                "family_name": "Rabut",
                "given_name": "Claire",
                "orcid": "0000-0002-4571-1215"
            },
            {
                "family_name": "Norman",
                "given_name": "Sumner",
                "orcid": "0000-0001-9945-697X"
            },
            {
                "family_name": "Griggs",
                "given_name": "Whitney",
                "orcid": "0000-0003-2941-6803"
            },
            {
                "family_name": "Jann",
                "given_name": "Kay",
                "orcid": "0000-0003-3574-0538"
            },
            {
                "family_name": "Russin",
                "given_name": "Jonathan",
                "orcid": "0000-0002-5304-4977"
            },
            {
                "family_name": "Christopoulos",
                "given_name": "Vasileios",
                "orcid": "0000-0002-0541-8700"
            },
            {
                "family_name": "Liu",
                "given_name": "Charles"
            },
            {
                "family_name": "Andersen",
                "given_name": "Richard A.",
                "orcid": "0000-0002-7947-0472"
            },
            {
                "family_name": "Shapiro",
                "given_name": "Mikhail G.",
                "orcid": "0000-0002-0291-4215"
            },
            {
                "literal": "California Institute of Technology"
            }
        ],
        "abstract": "<p>This dataset accompanies \"A window to the brain: ultrasound imaging of human neural activity through&nbsp;an acoustically transparent cranial prosthetic\". It includes the human, rodent, and in vitro data.</p><p><br><strong>Abstract of \"</strong>A window to the brain: ultrasound imaging of human neural activity through&nbsp;an acoustically transparent cranial prosthetic<strong>\"</strong></p><p>Recording human brain activity is crucial for understanding normal and aberrant brain function. However, available recording methods are either highly invasive or have relatively low sensitivity. Functional ultrasound imaging (fUSI) is an emerging technique that offers sensitive, large-scale, high-resolution neural imaging. However, fUSI cannot be performed through adult human skull.&nbsp;In this study, we show for the first time that functional ultrasound imaging of brain activity in adult humans can be recorded outside of the operating room. We use a polymeric skull replacement material to create an acoustic window allowing ultrasound to monitor brain activity in adult humans. We&nbsp;test implant designs and validate the performance of&nbsp;the window through experiments in phantoms and rodents, then implement it in a participant undergoing reconstructive skull surgery. Subsequently, we demonstrate mapping and decoding of cortical responses to finger movement, marking the first instance of high-resolution (200\u03bcm) and large-scale (50mm x 38mm) brain imaging through&nbsp;an acoustically transparent PMMA cranial prosthetic.</p>",
        "doi": "10.22002/f3y3k-em558",
        "publisher": "CaltechDATA",
        "publication_date": "2024-02-11"
    },
    {
        "id": "data:pa710-cdn95",
        "collection": "data",
        "collection_id": "pa710-cdn95",
        "cite_using_url": "https://data.caltech.edu/records/pa710-cdn95",
        "type": "dataset",
        "title": "Dataset for: Decoding Motor Plans Using a Closed-Loop Ultrasonic Brain-Machine Interface",
        "author": [
            {
                "family_name": "Griggs",
                "given_name": "Whitney",
                "orcid": "0000-0003-2941-6803"
            },
            {
                "family_name": "Norman",
                "given_name": "Sumner",
                "orcid": "0000-0001-9945-697X"
            },
            {
                "family_name": "Deffieux",
                "given_name": "Thomas",
                "orcid": "0000-0001-9114-2028"
            },
            {
                "family_name": "Segura",
                "given_name": "Florian"
            },
            {
                "family_name": "Osmanski",
                "given_name": "Bruno-F\u00e9lix",
                "orcid": "0000-0003-1198-5303"
            },
            {
                "family_name": "Chau",
                "given_name": "Geeling",
                "orcid": "0000-0002-7634-8586"
            },
            {
                "family_name": "Christopoulos",
                "given_name": "Vasileios",
                "orcid": "0000-0002-0541-8700"
            },
            {
                "family_name": "Liu",
                "given_name": "Charles"
            },
            {
                "family_name": "Tanter",
                "given_name": "Mickael",
                "orcid": "0000-0001-7739-8051"
            },
            {
                "family_name": "Shapiro",
                "given_name": "Mikhail G.",
                "orcid": "0000-0002-0291-4215"
            },
            {
                "family_name": "Andersen",
                "given_name": "Richard A.",
                "orcid": "0000-0002-7947-0472"
            },
            {
                "literal": "California Institute of Technology"
            }
        ],
        "contributor": [
            {
                "family_name": "Griggs",
                "given_name": "Whitney",
                "orcid": "0000-0003-2941-6803"
            },
            {
                "family_name": "Norman",
                "given_name": "Sumner",
                "orcid": "0000-0001-9945-697X"
            },
            {
                "family_name": "Deffieux",
                "given_name": "Thomas",
                "orcid": "0000-0001-9114-2028"
            },
            {
                "family_name": "Segura",
                "given_name": "Florian"
            },
            {
                "family_name": "Osmanski",
                "given_name": "Bruno-F\u00e9lix"
            },
            {
                "family_name": "Chau",
                "given_name": "Geeling",
                "orcid": "0000-0002-7634-8586"
            },
            {
                "family_name": "Christopoulos",
                "given_name": "Vasileios",
                "orcid": "0000-0002-0541-8700"
            },
            {
                "family_name": "Liu",
                "given_name": "Charles"
            },
            {
                "family_name": "Tanter",
                "given_name": "Mickael",
                "orcid": "0000-0001-7739-8051"
            },
            {
                "family_name": "Shapiro",
                "given_name": "Mikhail",
                "orcid": "0000-0002-0291-4215"
            },
            {
                "family_name": "Andersen",
                "given_name": "Richard",
                "orcid": "0000-0002-7947-0472"
            }
        ],
        "abstract": "<p>This dataset accompanies \"Decoding Motor Plans Using a Closed-Loop Ultrasonic Brain-Machine Interface\". It includes the 2 Hz real-time data (.mat files), metadata about each session (`project_record.json`), and description of the contents of each .mat file (`DescriptionOfVariables.pdf`).<br><br><strong>Abstract of \"Decoding Motor Plans Using a Closed-Loop Ultrasonic Brain-Machine Interface\"</strong></p><p>Brain-machine interfaces (BMIs) enable people living with chronic paralysis to control computers, robots, and more with nothing but thought. Existing BMIs have tradeoffs across invasiveness, performance, spatial coverage, and spatiotemporal resolution. Functional ultrasound (fUS) neuroimaging is an emerging technology that balances these attributes and may complement existing BMI recording technologies. In this study, we use fUS to demonstrate a successful implementation of a closed-loop ultrasonic BMI. We streamed fUS data from the posterior parietal cortex of two rhesus macaque monkeys while they performed eye and hand movements. After training, the monkeys controlled up to eight movement directions using the BMI. We also developed a method for pretraining the BMI using data from previous sessions. This enabled immediate control on subsequent days, even those that occurred months apart, without requiring extensive recalibration. These findings establish feasibility of ultrasonic BMIs, paving the way for a new class of less invasive (epidural) interfaces that generalize across extended time periods and promise to restore function to people with neurological impairments.</p>",
        "doi": "10.22002/pa710-cdn95",
        "publisher": "CaltechDATA",
        "publication_date": "2023-07-01"
    }
]