A5061316720- Advanced Neuroimaging Techniques and Applications
- Functional Brain Connectivity Studies
- Neurobiology of Language and Bilingualism
- Advanced MRI Techniques and Applications
- Acute Ischemic Stroke Management
- Cerebrovascular and Carotid Artery Diseases
- Spatial Neglect and Hemispheric Dysfunction
- Genetic Neurodegenerative Diseases
- Transcranial Magnetic Stimulation Studies
- Fetal and Pediatric Neurological Disorders
- Medical Image Segmentation Techniques
- Dementia and Cognitive Impairment Research
- Cerebral Palsy and Movement Disorders
- Reading and Literacy Development
- Radiomics and Machine Learning in Medical Imaging
- EEG and Brain-Computer Interfaces
- Neurological disorders and treatments
- Action Observation and Synchronization
- Neural dynamics and brain function
- Stroke Rehabilitation and Recovery
- Vestibular and auditory disorders
- Neonatal and fetal brain pathology
- Language Development and Disorders
- Brain Tumor Detection and Classification
- Botulinum Toxin and Related Neurological Disorders
Johns Hopkins University
2016-2025
Johns Hopkins Medicine
2016-2025
Mayo Clinic in Arizona
2025
Vanderbilt University Medical Center
2025
Georgia State University
2024
Center for Translational Research in Neuroimaging and Data Science
2024
Georgia Institute of Technology
2024
Emory University
2024
Weatherford College
2023
Chapman University
2022
Image analysis tools for brain magnetic resonance imaging (MRI) have become increasingly important computer-aided diagnosis that involves large amounts of medical image data. The authors this article endeavored to develop software serve the clinical research community, starting with a stand-alone executable, hybrid local computation model today's modern architecture cloud services, which they call MRICloud. MRICloud provides high-throughput neuroinformatics platform automated MRI...
This paper examines the multiple atlas random diffeomorphic orbit model in Computational Anatomy (CA) for parameter estimation and segmentation of subcortical ventricular neuroanatomy magnetic resonance imagery. We assume that there exist image (MRI) atlases, each containing a collection locally-defined charts brain generated via manual delineation structures interest. focus on maximum posteriori high dimensional segmentations MR within class generative models representing observed MRI as...
Impaired hand function after stroke is a major cause of long-term disability. We developed novel paradigm that quantifies two critical aspects function, strength, and independent control fingers (individuation), also removes any obligatory dependence between them. Hand recovery was tracked in 54 patients with hemiparesis over the first year stroke. Most strength individuation occurred within 3 mo. A time-invariant identified: were tightly correlated up to level ~60% estimated premorbid...
Objective Common neurological diseases or injuries that can affect the right hemisphere, including stroke, traumatic brain injury, and frontotemporal dementia, disrupt emotional empathy—the ability to share in make inferences about how other people feel. This impairment negatively impacts social interactions relationships. Accumulating evidence indicates empathy depends on coordinated functions of orbitofrontal cortex, anterior insula, cingulate, temporal pole, amygdala, but few studies have...
Abstract Background Accessible tools to efficiently detect and segment diffusion abnormalities in acute strokes are highly anticipated by the clinical research communities. Methods We developed a tool with deep learning networks trained tested on large dataset of 2,348 weighted MRIs patients sub-acute ischemic strokes, further for generalization 280 an external (STIR). Results Our proposed model outperforms generic DeepMedic, particularly small lesions, lower false positive rate, balanced...
Abstract The locus and extent of brain damage in the event vascular insult can be quantitatively established quickly easily with atlases. Although highly anticipated by clinicians clinical researchers, no digital MRI arterial atlas is readily available for automated data analyses. We created a territory based on lesion distributions 1,298 patients acute stroke. lesions were manually traced diffusion-weighted MRIs, binary stroke masks mapped to common space, probability maps generated...
Abstract Despite the known benefits of data‐driven approaches, lack approaches for identifying functional neuroimaging patterns that capture both individual variations and inter‐subject correspondence limits clinical utility rsfMRI its application to single‐subject analyses. Here, using data from over 100k individuals across private public datasets, we identify replicable multi‐spatial‐scale canonical intrinsic connectivity network (ICN) templates via use multi‐model‐order independent...
Transcranial direct current stimulation (tDCS) is an innovative technique recently shown to improve language outcomes even in neurodegenerative conditions such as primary progressive aphasia (PPA), but the underlying brain mechanisms are not known. The present study tested whether additional gains with repetitive tDCS (over sham) PPA caused by changes functional connectivity between stimulated area (the left inferior frontal gyrus (IFG)) and rest of network. We scanned 24 participants (11...
Huntington disease (HD) is a fatal progressive neurodegenerative disorder for which only symptomatic treatment available. A better understanding of the pathology, and identification biomarkers will facilitate development disease-modifying treatments. HD potentially good model because it an autosomal-dominant with complete penetrance, caused by single gene mutation, in process can be assessed many years before onset signs symptoms manifest disease. Previous MRI studies have detected...
People with post-stroke aphasia may have some degree of chronic deficit for which current rehabilitative treatments are variably effective. Accumulating evidence suggests that transcranial direct stimulation (tDCS) be useful enhancing the effects behavioral treatment. However, it remains unclear brain regions should stimulated to optimize on language recovery. Here, we report therapeutic potential right cerebellar tDCS in augmenting recovery SMY, who sustained bilateral MCA infarct resulting...
Abstract To extract meaningful and reproducible models of brain function from stroke images, for both clinical research proposes, is a daunting task severely hindered by the great variability lesion frequency patterns. Large datasets are therefore imperative, as well fully automated image post-processing tools to analyze them. The development such tools, particularly with artificial intelligence, highly dependent on availability large model training testing. We present public dataset 2,888...
Psychosis (including symptoms of delusions, hallucinations, and disorganized conduct/speech) is a main feature schizophrenia frequently present in other major psychiatric illnesses. Studies individuals with first-episode (FEP) early psychosis (EP) have the potential to interpret aberrant connectivity associated during period minimal influence from medication confounds. The current study uses data-driven whole-brain approach examine patterns functional network (FNC) multi-site dataset...