A5035903474- Medical Imaging and Analysis
- Spine and Intervertebral Disc Pathology
- Memory and Neural Mechanisms
- Neurological disorders and treatments
- Neuroscience and Neural Engineering
- EEG and Brain-Computer Interfaces
- Advanced X-ray and CT Imaging
- Aesthetic Perception and Analysis
- Spinal Fractures and Fixation Techniques
- Eating Disorders and Behaviors
- Musculoskeletal pain and rehabilitation
- Neuroscience and Neuropharmacology Research
- Virtual Reality Applications and Impacts
- Olfactory and Sensory Function Studies
- Traumatic Brain Injury Research
- Dental Radiography and Imaging
- Radiomics and Machine Learning in Medical Imaging
- Neural dynamics and brain function
- Sleep and Wakefulness Research
- Artificial Intelligence in Healthcare and Education
- Scoliosis diagnosis and treatment
- Body Image and Dysmorphia Studies
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
University of California, Los Angeles
2017-2023
University of California, San Francisco
2019
Abstract The neurophysiological mechanisms in the human amygdala that underlie post-traumatic stress disorder (PTSD) remain poorly understood. In a first-of-its-kind pilot study, we recorded intracranial electroencephalographic data longitudinally (over one year) two male individuals with electrodes implanted for management of treatment-resistant PTSD (TR-PTSD) under clinical trial NCT04152993. To determine electrophysiological signatures related to emotionally aversive and clinically...
There have been numerous studies demonstrating increased pain and disability when patients' spinopelvic parameters fall outside of certain accepted ranges. However, these values were established based on patients suffering from spinal deformities. It remains unknown how change over a lifetime in asymptomatic individuals. The goal this study was to define range
Abstract BACKGROUND The referral process for consultation with a spine surgeon remains inefficient, given substantial proportion of referrals to surgeons are nonoperative. OBJECTIVE To develop machine-learning-based algorithm which accurately identifies patients as candidates surgeon, using only magnetic resonance imaging (MRI). METHODS We trained deep U-Net machine learning model delineate spinal canals on axial slices 100 normal lumbar MRI scans were previously delineated by expert...
The development of quantitative imaging biomarkers in medicine requires automatic delineation relevant anatomical structures using available data. However, this task is complicated clinical due to the variation scanning parameters and protocols, even within a single medical center. Existing literature on image segmentation MR data based analysis highly homogenous images obtained fixed set pulse sequence (TR/TE). Unfortunately, algorithms that operate do not avail themselves real-world daily...
Distorted perception of one's body and appearance, in general, is a core feature several psychiatric disorders including anorexia nervosa dysmorphic disorder operative to varying degrees nonclinical populations. Yet, image challenging assess, given its subjective nature variety manifestations. The currently available methods have limitations restricted ability assess perceptions specific areas. To address these limitations, we created Somatomap, mobile tool that enables individuals visually...
<h3>BACKGROUND AND PURPOSE:</h3> Quantitative imaging biomarkers have not been established for the diagnosis of spinal canal stenosis. This work aimed to lay groundwork establish such by leveraging developments in machine learning and medical informatics. <h3>MATERIALS METHODS:</h3> Machine algorithms were trained segment lumbar areas on axial views intervertebral discs sagittal MRIs. These used measure at each level (L1 through L5). Machine-generated delineations compared with 2 sets...
To use machine learning tools and leverage big data informatics to statistically model the variation in area of lumbar neural foramina a large asymptomatic population.By using an electronic health record imaging archive, MRI studies 645 male (mean age, 50.07 years) 511 female 48.23 patients between 20 80 years old were identified. Machine algorithms used delineate autonomously measure their areas. The relationship foraminal patient sex, height was studied by multivariable linear...
Summary How the human brain supports accurate navigation of a learned environment has been an active topic research for nearly century 1–5 . In rodents, theta rhythm within medial temporal lobe (MTL) proposed as neural basis fragmenting incoming information and temporally organizing experiences is thus widely implicated in spatial episodic memory 6 addition, high-frequency (~8Hz) associated with navigation, loss results deficits rats 7 Recently, oscillations during ambulatory movement have...
Abstract Current implantable devices that allow for recording and stimulation of brain activity in humans are not inherently designed research thus lack programmable control integration with wearable sensors. We developed a platform enables wireless intracranial electroencephalographic deep integrated technologies. This methodology, when used freely moving implanted neural devices, can provide an ecologically valid environment conducive to elucidating the mechanisms underlying naturalistic...
Machine learning algorithms tend to perform better within the setting wherein they are trained, a phenomenon known as domain effect. Deep learning-based medical image segmentation often trained using data acquired from specific scanners; however, these expected accurately segment anatomy in images scanners different ones used obtain training for such algorithms. In this work, we present evidence of scanner and magnet strength effect deep-U-Net spinal canals on axial MR images. The network...
Lower back pain and pathologies related to it are one of the most common results for a referral neurosurgical clinic in developed developing world. Quantitative evaluation these is challenge. Image based measurements angles/vertebral heights disks could provide potential quantitative biomarker tracking measuring pathologies. Detection vertebral bodies key element focus current work. From variety medical imaging techniques, MRI CT scans have been typically used image segmentation methods....
<sec> <title>BACKGROUND</title> Distorted perception of one’s body and appearance, in general, is a core feature several psychiatric disorders including anorexia nervosa dysmorphic disorder operative to varying degrees nonclinical populations. Yet, image challenging assess, given its subjective nature variety manifestations. The currently available methods have limitations restricted ability assess perceptions specific areas. To address these limitations, we created Somatomap, mobile tool...