A5101413436- Advanced Neuroimaging Techniques and Applications
- Intensive Care Unit Cognitive Disorders
- Anesthesia and Neurotoxicity Research
- Genetics and Neurodevelopmental Disorders
- Anesthesia and Sedative Agents
- Neuroinflammation and Neurodegeneration Mechanisms
- Autism Spectrum Disorder Research
- Radiomics and Machine Learning in Medical Imaging
- Glioma Diagnosis and Treatment
- Phosphodiesterase function and regulation
- Neurological and metabolic disorders
- Surgical Simulation and Training
- Traumatic Brain Injury Research
- Bipolar Disorder and Treatment
- Neurological Disease Mechanisms and Treatments
- Congenital heart defects research
- Genetic Neurodegenerative Diseases
- Functional Brain Connectivity Studies
- Brain Tumor Detection and Classification
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Radiation Dose and Imaging
- Advanced MRI Techniques and Applications
- Neonatal and fetal brain pathology
- Neurogenesis and neuroplasticity mechanisms
University of Wisconsin–Madison
2015-2023
Neurological Surgery
2020
Neuroinflammation plays a central role in the neuropathogenesis of wide-spectrum neurologic and psychiatric disease, but current neuroimaging methods to detect characterize neuroinflammation are limited. We explored sensitivity quantitative multi-compartment diffusion MRI, specifically neurite orientation dispersion density imaging (NODDI), changes microglial brain. Monte Carlo simulations water using NODDI acquisition scheme were performed measure virtual MRI signal following modeled...
<h3>BACKGROUND AND PURPOSE:</h3> Incidental findings are discovered in neuroimaging research, ranging from trivial to life-threatening. We describe the prevalence and characteristics of incidental 16,400 research brain MRIs, comparing spontaneous detection by nonradiology scanning staff versus formal neuroradiologist interpretation. <h3>MATERIALS METHODS:</h3> prospectively collected MRIs (7782 males, 8618 females; younger than 1 94 years age; median age, 38 years) under an institutional...
Objectives Delirium is an important postoperative complication, yet predictive risk factors for delirium severity remain elusive. We hypothesized that the NSQIP calculation serious complications (NSQIP‐SC) or of death (NSQIP‐D), and cognitive tests executive function (Trail Making Tests A B [TMTA TMTB]), would be severity. Further, we demonstrate how advanced statistical techniques can used to identify candidate predictors. Methods/Design Data from ongoing perioperative prospective cohort...
Background Pathophysiological changes of Huntington's disease (HD) can precede symptom onset by decades. Robust imaging biomarkers are needed to monitor HD progression, especially before the clinical onset. Purpose To investigate iron dysregulation and microstructure alterations in subcortical regions as biomarkers, associate such with motor cognitive impairments. Study Type Prospective. Population Fourteen individuals premanifest (38.0 ± 11.0 years, 9 females; far‐from‐onset N = 6,...
Abstract Diffusion tensor imaging (DTI) has provided remarkable insight into our understanding of white matter microstructure and brain connectivity across a broad spectrum psychiatric disease. While DTI other diffusion weighted magnetic resonance (MRI) methods have clarified the axonal contribution to disconnectivity seen in numerous diseases, absent from these studies are quantitative indices neurite density orientation that especially important features regions high synaptic would capture...
Abstract Cortical thickness is traditionally derived from T1-weighted MRI images. Recent studies have shown an improvement in segmentation with the combination of T1 + T2-FLAIR data 54 adults (mean: 71 years, 65–81 48% females) that are part ongoing cohort study were analyzed to investigate whether cortical measurements superior those images identifying age-related atrophy. and processed through FreeSurfer v6.0. Data was extracted using Desikan-Killiany (DKT) atlas. FreeSurfer’s GUI QDEC...
Abstract PURPOSE Although histopathological evidence indicates that glioma cells preferentially migrate along large white-matter bundles, standard-of-care (SOC) radiation therapy (RT) planning remains an isotropic expansion of the anatomical lesion. We hypothesize anisotropic RT target volumes pathways using fiber density-weighted, pathlength maps (DW-WMPLMs) derived from diffusion tensor imaging (DTI) could improve prediction tumor cell migration beyond surgical margins by a deep learning...
Motivation: Utilizing the knowledge of glioma cells' infiltration along white matter pathways to better predict GBM progression. Goal(s): To enhance progression prediction by analyzing map adjacent fibers and building models incorporate that with anatomical MR. Approach: Developed a novel algorithm, DW-WMPL, from Diffusion-Tensor Imaging data adjusts fiber lengths reveal possible tumor advancement. Employed deep learning MRI DW-WMPL maps. Results: DW-WMPL-enhanced achieved higher precision...
Abstract Background Brain MRI is used routinely to study morphology in normal aging and dementia. Expert image review for clinically significant findings varies across sites best practice unsettled. We describe unexpected from 8,205 research brain MRIs adults 40 years older, comparing neuroradiologist presumptive diagnoses versus lesions flagged as concerning by scanning staff. Method N=8,205 consecutive were prospectively reviewed neuroradiologists April 2002 March 2020 under an IRB...