A5070043649- EEG and Brain-Computer Interfaces
- Neurobiology and Insect Physiology Research
- Neural dynamics and brain function
- Cell Image Analysis Techniques
- Advanced Electron Microscopy Techniques and Applications
- Insect and Arachnid Ecology and Behavior
- Plant and Biological Electrophysiology Studies
- Electron and X-Ray Spectroscopy Techniques
- Neuroscience and Neural Engineering
- Advanced Memory and Neural Computing
- Neuroscience and Neuropharmacology Research
- Neuroinflammation and Neurodegeneration Mechanisms
- Epilepsy research and treatment
- Advanced Fluorescence Microscopy Techniques
- Wireless Body Area Networks
- Functional Brain Connectivity Studies
- Muscle activation and electromyography studies
- Advanced MRI Techniques and Applications
- Genetics, Aging, and Longevity in Model Organisms
- ECG Monitoring and Analysis
- Lipid Membrane Structure and Behavior
- Neurobiology of Language and Bilingualism
- Sleep and Wakefulness Research
- Alzheimer's disease research and treatments
Google (United States)
2017-2024
University of Washington
2009-2014
Bioengineering Center
2012
Washington University in St. Louis
2012
Abstract We acquired a rapidly preserved human surgical sample from the temporal lobe of cerebral cortex. stained 1 mm 3 volume with heavy metals, embedded it in resin, cut more than 5000 slices at ∼30 nm and imaged these sections using high-speed multibeam scanning electron microscope. used computational methods to render three-dimensional structure containing 57,216 cells, hundreds millions neurites 133.7 million synaptic connections. The 1.4 petabyte microscopy volume, segmented cell...
Abstract The neural circuits responsible for behavior remain largely unknown. Previous efforts have reconstructed the complete of small animals, with hundreds neurons, and selected larger animals. Here we (the FlyEM project at Janelia collaborators Google) summarize new methods present circuitry a large fraction brain much more complex animal, fruit fly Drosophila melanogaster . Improved include procedures to prepare, image, align, segment, find synapses, proofread such data sets; that...
To fully understand how the human brain works, knowledge of its structure at high resolution is needed. Presented here a computationally intensive reconstruction ultrastructure cubic millimeter temporal cortex that was surgically removed to gain access an underlying epileptic focus. It contains about 57,000 cells, 230 millimeters blood vessels, and 150 million synapses comprises 1.4 petabytes. Our analysis showed glia outnumber neurons 2:1, oligodendrocytes were most common cell, deep layer...
Abstract Reconstruction of neural circuitry at single-synapse resolution is a key target for improving understanding the nervous system in health and disease. Serial section transmission electron microscopy (ssTEM) among most prolific imaging methods employed pursuit such reconstructions. We demonstrate how Flood-Filling Networks (FFNs) can be used to computationally segment forty-teravoxel whole-brain Drosophila ssTEM volume. To compensate data irregularities imperfect global alignment,...
All previous multiple-day brain-computer interface (BCI) experiments have dynamically adjusted the parameterization between signals measured from brain and features used to control interface. The authors present results of a electrocorticographic (ECoG) BCI experiment. A patient with subdural electrode array implanted for seizure localization performed tongue motor tasks. After an initial screening feature selection on 1st day, 5 consecutive days cursor-based feedback were fixed...
The gold-standard method for determining cortical functional organization in the context of neurosurgical intervention is electrical stimulation (ECS), which disrupts normal function to evoke movement. This technique imprecise, however, as motor responses are not limited precentral gyrus. Electrical also can trigger seizures, always tolerated, and often unsuccessful, especially children. Alternatively, endogenous sensory signals be mapped by somatosensory evoked potentials (SSEPs), MRI...
The learning of a motor task is known to be improved by sleep, and sleep spindles are thought facilitate this enabling synaptic plasticity. In study subjects implanted with electrocorticography (ECoG) arrays for long-term epilepsy monitoring were trained control cursor on computer screen modulating either the high-gamma or mu/beta power at single electrode located over premotor area. all subjects, spindle density in posttraining was increased respect pretraining remarkably spatially specific...
Abstract The neural circuits responsible for animal behavior remain largely unknown. We summarize new methods and present the circuitry of a large fraction brain fruit fly Drosophila melanogaster. Improved include procedures to prepare, image, align, segment, find synapses in, proofread such data sets. define cell types, refine computational compartments, provide an exhaustive atlas examples many them novel. detailed consisting neurons their chemical most central brain. make public simplify...
Abstract Reconstruction of neural circuits from volume electron microscopy data requires the tracing complete cells including all their neurites. Automated approaches have been developed to perform tracing, but without costly human proofreading error rates are too high obtain reliable circuit diagrams. We present a method for automated segmentation that, like majority previous efforts, employs convolutional networks, contains in addition recurrent pathway that allows iterative optimization...
Human subjects can learn to control a one-dimensional electrocorticographic (ECoG) brain-computer interface (BCI) using modulation of primary motor (M1) high-gamma activity (signal power in the 75–200 Hz range). However, stability and dynamics signals over course new BCI skill acquisition have not been investigated. In this study, we report three characteristic periods evolution signal during training: initial, low task accuracy with corresponding gamma spectrum, followed by second period...
Abstract Connectomic reconstruction of neural circuits relies on nanometer resolution microscopy which produces the order a petabyte imagery for each cubic millimeter brain tissue. The cost storing such data is significant barrier to broadening use connectomic approaches and scaling even larger volumes. We present an image compression approach that uses machine learning-based denoising standard codecs compress raw electron neuropil up 17-fold with negligible loss 3d synaptic detection accuracy.
Connectomics is a nascent neuroscience field to map and analyze neuronal networks. It provides new way investigate abnormalities in brain tissue, including models of Alzheimer's disease (AD). This age-related associated with alterations amyloid-β (Aβ) phosphorylated tau (pTau). These correlate AD's clinical manifestations, but causal links remain unclear. Therefore, studying these molecular within the context local glial milieu may provide insight into mechanisms. Volume electron microscopy...
INTRODUCTION: Our inability to tickle ourselves has led the hypothesis that, when an efferent signal is produced and sent motor system, a correlate, known as efference copy, created distinguish sensations by subject's own actions from those generated external stimuli. METHODS: To demonstrate existence of such entity, we used electrocorticography (ECoG) measure activation timing in human primary (M1), premotor (PM) somatosensory (S1) neurons preparation for finger movements 4 subjects with...
Abel, Taylor J. B.S.; Miller, Kai; Blakely, Tim; Hebb, Adam Olding M.D.; Edwards, Erik; Hakimian, Shahin; Ojemann, Jeffrey G. M.D.
Reconstruction of neural circuitry at single-synapse resolution is a key target for improving understanding the nervous system in health and disease. Serial section transmission electron microscopy (ssTEM) among most prolific imaging methods employed pursuit such reconstructions. We demonstrate how Flood-Filling Networks (FFNs) can be used to computationally segment forty-teravoxel whole-brain Drosophila ssTEM volume. To compensate data irregularities imperfect global alignment, FFNs were...