A5047648538- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Traumatic Brain Injury Research
- Autism Spectrum Disorder Research
- Advanced MRI Techniques and Applications
- Health, Environment, Cognitive Aging
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Neuroscience and Music Perception
- Traumatic Brain Injury and Neurovascular Disturbances
- Bioinformatics and Genomic Networks
- Hearing Loss and Rehabilitation
- Medical Image Segmentation Techniques
- Heart Rate Variability and Autonomic Control
- Advanced Graph Neural Networks
- Glioma Diagnosis and Treatment
- Musicology and Musical Analysis
- Animal Vocal Communication and Behavior
- Advanced X-ray Imaging Techniques
- Advanced X-ray and CT Imaging
- Historical Influence and Diplomacy
- Brain Tumor Detection and Classification
- Genetics and Neurodevelopmental Disorders
- Music and Audio Processing
- Medical Imaging Techniques and Applications
Harvard University
2022
University of Pennsylvania
2018-2021
National Brain Research Centre
2017-2019
Abstract Background Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition. The degree to which the brain development in ASD deviates from typical development, and how this deviation relates observed behavioral outcomes at individual level are not well-studied. We hypothesize that of an with would relate symptom severity. Methods developmental changes anatomical (cortical thickness, surface area, volume) diffusion metrics (fractional anisotropy apparent coefficient)...
United States government personnel experienced potential exposures to uncharacterized directional phenomena while serving in Havana, Cuba, from late 2016 through May 2018. The underlying neuroanatomical findings have not been described.To examine differences brain tissue volume, microstructure, and functional connectivity compared with individuals exposed phenomena.Forty (patients) who were potentially neurological symptoms underwent evaluation at a US academic medical center August 21,...
Quality assessment of diffusion MRI (dMRI) data is essential prior to any analysis, so that appropriate pre-processing can be used improve quality and ensure the presence artifacts do not affect results subsequent image analysis. Manual subjective, possibly error-prone, infeasible, especially considering growing number consortium-like studies, underlining need for automation process. In this paper, we have developed a deep-learning-based automated control (QC) tool, QC-Automator, dMRI data,...
Connectomics, the study of brain connectivity, has become an indispensable tool in neuroscientific research as it provides insights into organization. Connectomes are generated using different modalities such diffusion MRI to capture structural organization or functional elaborate brain's Understanding links between and organizations is crucial explaining how observed behavior emerges from underlying neurobiological mechanisms. Many studies have investigated these two relate each other;...
Traumatic brain injury (TBI) is a major clinical and public health problem with few therapeutic interventions successfully translated to the clinic. Identifying imaging-based biomarkers characterizing severity predicting long-term functional cognitive outcomes in TBI patients crucial for treatment. results white matter (WM) injuries, which can be detected using diffusion tensor imaging (DTI). Trauma-induced pathologies lead accumulation of free water (FW) tissue, standard DTI susceptible...
Traumatic brain injury (TBI) is a major public health problem. Caused by external mechanical forces, characteristic of TBI the shearing axons across white matter, which causes structural connectivity disruptions between regions. This diffuse leads to cognitive deficits, frequently requiring rehabilitation. Heterogeneity another as severity and sequelae disease have wide variation patients, posing big challenge for treatment. Thus, measures assessing network-wide in are necessary quantify...
Analysis of structural and functional connectivity brain has become a fundamental approach in neuroscientific research. Despite several studies reporting consistent similarities as well differences for resting state (rs) connectomes, comparative investigation connectomic consistency between the two modalities is still lacking. Nonetheless, analysis comprising both types necessitate extra attention differs across modalities, possibly affecting interpretation results. In this study, we present...
Abstract PURPOSE Characterization of the peritumoral microenvironment is a widely researched, but as yet unsolved problem. Determining tissue microstructure differences between tumor types, arising from in infiltration, edema, and disease driven changes cellularity important to be able guide treatment options. Diffusion tensor imaging with characterization extracellular free water provides unique information microstructure. The goal this work leverage by applying deep learning on maps create...
Abstract PURPOSE The differential diagnosis of glioblastoma (GBM) versus single brain metastasis (Met) is clinically important, and undertaken with a clinical reading MR images and/or tumor biopsy. We investigate whether Mets GBMs can be differentiated based on the microstructure FLAIR-hyperintense peritumoral region measured by diffusion tensor imaging (DTI). hypothesize that differs in extracellular water content, it vasogenic edema or infiltrative. use deep learning trained DTI-based...
Abstract Traumatic brain injury (TBI) is a major public health problem. Caused by external mechanical forces, characteristic of TBI the shearing axons across white matter, which causes structural connectivity disruptions between regions. This diffuse leads to cognitive deficits, frequently requiring rehabilitation. Heterogeneity another as severity and sequelae disease have wide variation patients, posing big challenge for treatment. Thus, measures assessing network-wide in are necessary...
Although surgical planning tools are aimed at avoiding damage to eloquent tracts, resection as well treatment like radiation, may alter the structural connectivity of whole brain. This lead subtle cognitive deficits in future. The aim this work is present a paradigm create Tumor Evaluation Connectome, which map brain that shows how regions connected each other. Although, connectomes routinely used various studies these days, it extremely challenging one presence tumor or cavity. Thus...
Abstract Connectomics, the study of brain connectivity, has become an indispensable tool in neuroscientific research as it provides insights into organization. Connectomes are generated for different modalities such using diffusion MRI to capture structural organization or functional elaborate brain’s Understanding links between and organizations is crucial explaining how observed behavior emerges from underlying neurobiological mechanisms. Many studies have investigated these two relate...
Quality assessment of diffusion MRI (dMRI) data is essential prior to any analysis, so that appropriate pre-processing can be used improve quality and ensure the presence artifacts do not affect results subsequent image analysis. Manual subjective, possibly error-prone, infeasible, especially considering growing number consortium-like studies, underlining need for automation process. In this paper, we have developed a deep-learning-based automated control (QC) tool, QC-Automator, dMRI data,...