A5090098414- Advanced MRI Techniques and Applications
- Transcranial Magnetic Stimulation Studies
- Neurological disorders and treatments
- Functional Brain Connectivity Studies
- Neuroscience and Neural Engineering
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Non-Destructive Testing Techniques
- Wireless Power Transfer Systems
- Energy Harvesting in Wireless Networks
- Muscle activation and electromyography studies
- Optical Wireless Communication Technologies
- Underwater Acoustics Research
- Wireless Body Area Networks
- Magnetic Properties and Applications
- Electromagnetic Fields and Biological Effects
- Engineering Applied Research
- Avian ecology and behavior
- Electric Motor Design and Analysis
- Induction Heating and Inverter Technology
- Electromagnetic Simulation and Numerical Methods
- Optical Network Technologies
- Particle accelerators and beam dynamics
- Advanced DC-DC Converters
Worcester Polytechnic Institute
2020-2025
To present and disseminate our transcranial magnetic stimulation (TMS) modeling software toolkit, including several new algorithmic developments, to apply this realistic TMS scenarios given a high-resolution model of the human head cortical geometry an accurate coil model.The recently developed charge-based boundary element fast multipole method (BEM-FMM) is employed as alternative 1st order finite (FEM) most commonly used today. The BEM-FMM approach provides high accuracy unconstrained...
A fast BEM (boundary element method) based approach is developed to solve an EEG/MEG forward problem for a modern high-resolution head model. The method utilizes charge-based accelerated by the multipole (BEM-FMM) with adaptive mesh pre-refinement (called b-refinement) close singular dipole source(s). No costly matrix-filling or direct solution steps typical standard are required; generates on-skin voltages as well MEG magnetic fields models within 90 seconds after initial model assembly...
When modeling transcranial electrical stimulation (TES) and magnetic (TMS) in the brain, meninges - dura, arachnoid, pia mater are often neglected due to high computational costs.We investigate impact of meningeal layers on cortical electric field TES TMS while considering headreco segmentation as base model.We use T1/T2 MRI data from 16 subjects apply boundary element fast multipole method with adaptive mesh refinement, which enables us accurately solve this problem establish convergence at...
Abstract Objective. In our recent work pertinent to modeling of brain stimulation and neurophysiological recordings, substantial errors in the computed electric field potential have sometimes been observed for standard multi-compartment head models. The goal this study is quantify those and, further, eliminate them through an adaptive mesh refinement (AMR) algorithm. concentrates on transcranial magnetic (TMS), electrical (TES), electroencephalography (EEG) forward problems. Approach. We...
When modeling transcranial magnetic stimulation (TMS) in the brain, a fast and accurate electric field solver can support interactive neuronavigation tasks as well comprehensive biophysical modeling. We formulate, test, disseminate direct (i.e., non-iterative) TMS that accurately determine global fields for any coil type everywhere high-resolution MRI-based surface model with ~ 200,000 or more arbitrarily selected observation points within approximately 5 s, solution time itself of 3 s. The...
Quantitative modeling of specific absorption rate and temperature rise within the human body during 1.5 T 3 MRI scans is clinical significance to ensure patient safety. This work presents justification, via validation comparison, potential use Visible Human Project (VHP) derived Computer Aided Design (CAD) female full computational model for non-clinical assessment patients age 50–65 years with a BMI 30–36 based procedures. The initial segmentation four different application examples have...
Objective. To formulate, validate, and apply an alternative to the finite element method (FEM) high-resolution modeling technique for electrical brain stimulation-the boundary fast multipole (BEM-FMM). include practical electrode models both surface embedded electrodes.Approach. Integral equations of in terms charge density are combined with a general-purpose expanded voltage, shunt, current, floating electrodes. The solution coupled properly weighted/preconditioned integral is accompanied...
Electroencephalographic (EEG) source localization is a fundamental tool for clinical diagnoses and brain-computer interfaces. We investigate the impact of model complexity on reconstruction accuracy by comparing widely used three-layer boundary element method (BEM) as an inverse against five-layer BEM accelerated fast multipole (BEM-FMM) coupled with adaptive mesh refinement (AMR) forward solver. Modern BEM-FMM AMR can solve high-resolution multi-tissue models efficiently accurately....
The Transcranial Magnetic Stimulation (TMS) inverse problem (TMS-IP) investigated in this study aims to focus the TMS induced electric field close a specified target point defined on gray matter interface M1HAND area while otherwise minimizing it. goal of is numerically evaluate degree improvement TMS-IP solutions relative well-known sulcus-aligned mapping (a projection approach with 90∘ local sulcal angle). In total, 1536 individual have been analyzed for multiple points and subjects using...
Modeling brain stimulation at the microscopic scale may reveal new paradigms for a variety of modalities.
Objective To compare cortical dipole fitting spatial accuracy between the widely used yet highly simplified 3-layer and modern more realistic 5-layer BEM-FMM models with without adaptive mesh refinement (AMR) methods. Methods We generate simulated noiseless 256-channel EEG data from (7-compartment) meshes of 15 subjects Connectome Young Adult dataset. For each subject, we test four positions, three sets conductivity values, two types head segmentation. use boundary element method (BEM) fast...
Abstract A BEM (boundary element method) based approach is developed to accurately solve an EEG/MEG forward problem for a modern high-resolution head model in approximately 60 seconds using common workstation. The method utilizes charge-based with fast multipole acceleration (BEM-FMM) and “smart” mesh pre-refinement (called b -refinement) close the singular source(s). No costly matrix-filling or direct solution steps typical standard are required; generates on-skin voltages as well MEG...
We interface the head modelling, coil models, Graphical User Interface (GUI), and post-processing capabilities of SimNIBS package with boundary element fast multipole method (BEM-FMM), implemented in a MATLAB-based module. The resulting pipeline combines best both worlds: individualized modelling ease-of-use numerical accuracy BEM-FMM. corresponding TMS (transcranial magnetic stimulation) modeling is developed made available online. It imports surface segmentation field, then exports...
Abstract Background Transcranial magnetic stimulation (TMS) is currently the only non-invasive neurostimulation modality that enables painless and safe supra-threshold by employing electromagnetic induction to efficiently penetrate skull. Accurate, fast, high resolution modeling of electric fields (E-fields) may significantly improve individualized targeting dosing TMS therefore enhance efficiency existing clinical protocols as well help establish new application domains. Objective To...
This study aims to describe a MATLAB software package for transcranial magnetic stimulation (TMS) coil analysis and design.Electric fields of the coils as well their self- mutual (for arrays) inductances are computed, with or without core. Solid stranded (Litz wire) conductors also taken into consideration. The starting point is centerline conductor(s), which 3D curve defined by user. Then, wire mesh computer aided design (CAD) volume conductor given cross-section (circular, elliptical,...
Abstract A particular yet computationally successful solution of an inverse transcranial magnetic stimulation (TMS) problem is reported. The goal has been focusing the normal unsigned electric field at inner cortical surface and its vicinity (the D wave activation site) given a unique high-resolution gyral pattern subject precise coil model. For 16 subjects 32 arbitrary target points, decreases mean deviation maximum-field domain from by factor 2 on average. reduction in area expected to...