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Heiles, B.

Publications and source records attributed to Heiles, B..

8 recordsLinked to original sources

Functional ultrasound imaging through a human cranial window for mesoscopic mapping of motor effector encoding within the sensorimotor cortex

Understanding movement encoding within human cortical circuits has been essential for advancing brain computer interfaces (BCIs). However, there are limited minimally invasive, high resolution neurorecording methods sensitive enough to detect single-trial movement-correlated neural activity. Functional ultrasound imaging (fUSI) provides submillimeter spatial resolution of deep cortical tissue with high sensitivity and, when paired with acoustically transparent skull implants, enables transcutaneous recording of human neurovascular changes. Prior studies have used fUSI in participants with acoustically transparent skull implants for on-off task mapping and decoding. Here, we demonstrate fUSIs ability to reliably resolve multi-body-part and single digit movement encoding within the primary sensorimotor cortex in a participant with an acoustically transparent skull implant. We obtained fine-grained mappings of individual effector representation that were consistent with classic somatotopy for both multi-body-part and single digit movement. We were able to resolve single-trial event-related activity, enabling single-trial decoding of both conditions. Analysis of voxels important for decoding suggested differential encoding of single digit movement information across the different Brodmann areas. Finally, we show that these patterns can be approximated across different sessions, allowing for cross session decoding. These results establish that fUSI can reliably delineate somatotopically organized motor representations at submillimeter resolution, bridging a critical gap between invasive electrophysiology and noninvasive hemodynamic imaging in a human subject.

neuroscience↗

Modeling behavior to disentangle motion-related effects in functional ultrasound imaging in awake, head-fixed mice

Functional ultrasound imaging (fUSI) enables brain-wide mapping of hemodynamic activity in awake rodents, offering a powerful bridge between systems neuroscience in animals and human neuroimaging. However, extending fUSI beyond tightly controlled sensory paradigms to more naturalistic behaviors is limited by motion-related confounds arising from locomotion, physiological arousal, and movement-linked neural activity. Here, we introduce a behavior-informed modeling framework that explicitly incorporates continuous measurements of running speed and head motion into a general linear model to account for motion-related variance while preserving interpretable task-related signals. We validate this approach in two head-fixed paradigms with distinct motion profiles: a visual stimulation task with minimal stimulus-driven movement, and a noxious stimulation task in which locomotion and arousal are intrinsic to the behavioral response. In both cases, explicit behavioral modeling recovers neural response patterns that more closely resemble low-motion reference conditions than blind, model-free denoising approaches. Critically, during noxious stimulation, behavior-informed modeling preserves shock-intensity-dependent activity in the primary somatosensory cortex that is attenuated by global component removal. These findings demonstrate that explicit modeling of behavior enables reliable interpretation of brain-wide fUSI signals during naturalistic, high-motion conditions, opening the door to studying affective and cognitive processes that were previously difficult to access with functional ultrasound imaging.

neuroscience↗

Trimodal brain-wide ultrasound imaging of brain-tumor interaction

Patients with brain tumors often suffer debilitating neurological dysfunction as their tumors disrupt brain tissue, affecting both local and global neural activity and blood flow. However, studying tumor-brain interactions in animal models is challenging due to a lack of methods that simultaneously capture dynamics of tumor growth, neural activity and vascular alterations over time. Here, we overcome this limitation using a multimodal ultrasound imaging platform, an imaging technique that offers brain-wide coverage in living animals at 10-100 {micro}m resolution. To monitor the co-evolution of tumor growth, neural activity and vascular remodeling, we integrated (1) nonlinear imaging of acoustic reporter gene expressing-tumors, (2) hemodynamic functional imaging of brain activity, and (3) super-resolution microscopy of the vasculature. Integrating these modalities for the first time and applying them to a common model of glioblastoma, we followed tumor-brain interactions in individual animals over their disease lifetimes. Our approach allowed us to precisely map the spatial displacement of functional brain regions, the local and global disruption of functional connectivity, and the remodeling of the blood supply to support tumor growth. This integrated method bridges a critical gap in brain cancer research and therapy development by providing a unified dynamic view of what happens to the brain as tumors grow within it.

bioengineering↗

Selective-plane Functional Ultrasound Neuroimaging

Functional ultrasound (fUS) is a sensitive neuroimaging technique that uses high frame rate ultrasound to monitor brain hemo-dynamics as a proxy for neural activity. Recent studies have demonstrated its potential for brain-machine interfaces (BMIs) in both primates and humans. However, current 2D fUS approaches are limited to a single brain slice, restricting the ability to decode widespread neural activity. While 3D fUS could overcome this, it demands high data throughput, increased computation, and higher temperature increases due to the requirement of a higher number of transmitted waves. To address this, we present selective-plane fUS, a method that leverages the wide field of view of row-column addressed (RCA) transducer arrays to capture activity in targeted brain regions without moving the probe. By electronically selecting imaging planes, this approach achieves higher spatio-temporal resolution with lower data and pulse repetition rate compared to 3D fUS, while preserving sensitivity to neurovascular signals. Our pipeline begins with a 3D functional activation scan to guide plane selection, followed by high frame rate focused wave (FW) imaging in coronal or sagittal slices. This method offers robust detection of visually evoked responses in rodents and reduces signal variability compared to 3D fUS. By imaging only functional regions of interest, selective-plane fUS cuts computational load by an order of magnitude, enables continuous 1000 Hz recordings, and reduces functional signal variability fivefold. We envision that this method will allow tailored continuous functional imaging of widespread neuronal activity in the human brain in a BMI context.

neuroscience↗

Adaptive transcranial ultrasound Doppler imaging of the brain

The development of fully noninvasive, transcranial functional ultrasound (fUS) would increase the translatability and clinical potential of this neuroimaging modality. Unfortunately, transcranial fUS is hindered by skull-induced aberrations which degrade power Doppler image quality and lower sensitivity. As a result, a majority of fUS imaging studies rely on craniotomies or acoustically transparent cranial windows. To advance fUS technology further, we present an adaptive aberration correction method based on ray-tracing through 4 tissue layers (transducer lens, gel & skin, bone and brain tissue). Our method segments these layers, and estimates ultrasound wave speeds in each layer iteratively. Once a velocity model of the imaging plane of interest is retrieved, ultrafast power Doppler imaging of the brain is performed using a ray-tracing beamformer that accounts for wave refraction. We tested our method in three adult rats, and estimated wave speeds for the skin/gel layer (1628 {+/-} 7 m/s), skull bone (3247 {+/-} 110 m/s), and brain tissue (1526 {+/-} 55 m/s). After aberration correction, we measured an average adult rat skull thickness of 388 {+/-} 41 m in agreement with anatomical records. The largest improvements in Doppler imaging quality were observed in cortical brain layers adjacent to the skull, specifically lateral spatial resolution was improved by 32%. Our method consistently outperformed Doppler imaging based on traditional delay-and-sum (DAS) beamforming, which assumes a uniform sound speed.

neuroscience↗

Acoustic pH sensor for dynamic ultrasound imaging of cellular acidification

Genetically encoded pH sensors based on fluorescent proteins enable dynamic optical imaging of cellular processes such as endocytosis and exocytosis. To date, light scattering in thick tissue as well as photobleaching of fluorescent proteins prevent deep cellular imaging over sustained periods of time. To visualize intracellular pH variations across opaque organs, we introduce a genetically encoded acoustic pH sensor dubbed pHonon. We modified the outer gas vesicle protein (GvpC) of echogenic protein nanostructures via histidine point mutations. At low pH, engineered gas vesicles exhibit an increased shell stiffness which switched their acoustic response from nonlinear to linear. By combining pHonons with nonlinear ultrasound imaging, we captured dynamic deep tissue images of lysosomal acidification by macrophages in murine liver. The combination of pHonon with nonlinear ultrasound creates the possibility for basic studies of endo- and exocytic activity in deep tissue of living opaque organisms.

bioengineering↗

Nonlinear sound-sheet microscopy: imaging opaque organs at the capillary and cellular scale

Light-sheet fluorescence microscopy has revolutionized biology by visualizing dynamic cellular processes in three dimensions. However, light scattering in thick tissue and photobleaching of fluorescent reporters limit this method to studying thin or translucent specimens. Here we show that non-diffractive ultrasonic beams used in conjunction with a cross-amplitude modulation sequence and nonlinear acoustic reporters enable fast and volumetric imaging of targeted biological functions. We report volumetric imaging of tumor gene expression at the cm3 scale using genetically encoded gas vesicles, and localization microscopy of currently uncharted cerebral capillary networks using intravascular microbubble contrast agents. Nonlinear sound-sheet microscopy provides a [~]64x acceleration in imaging speed, [~]35x increase in imaged volume and [~]4x increase in classical imaging resolution compared to the state-of-the-art in biomolecular ultrasound.

bioengineering↗

Volumetric ultrasound localization microscopy of the whole brain microvasculature

Technologies to visualize whole organs across scales in vivo are essential for our understanding of biology in health and disease. To date, only post-mortem techniques such as perfused computed tomography scanning or optical microscopy of cleared tissues achieve cellular resolution across entire organs and imaging methods with equal performance in living mammalian organs have yet to be developed. Recently, 2D ultrasound localization microscopy has successfully mapped the fine-scale vasculature of various organs down to a 10 m precision. However, reprojection issues and out-of-plane motion prevent complex blood flow quantification and fast volumetric imaging of whole organs. Here, we demonstrate for the first time in vivo volumetric ultrasound localization microscopy mapping of the rodent brain vasculature. We developed a complete methodological pipeline that includes specific surgery, a dedicated 3D ultrasound acquisition sequence, localization and tracking algorithms, motion correction and realignment, as well as the post-processing quantification of cerebral blood flow. We illustrate the power of this approach, by mapping the whole rat brain vasculature at a resolution of 12 m, revealing mesoscopic to macroscopic vascular architectures and cerebral blood flows ranging from 1 to 100 mm/s. Our results pave the way to the investigation of in vivo vascular processes across the mammalian brain in health and disease, in a wide range of contexts and models.

bioengineering↗