Leah Morales

ORCID: 0009-0002-3203-0880
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About
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Research Areas
  • Advanced MRI Techniques and Applications
  • Transcranial Magnetic Stimulation Studies
  • Wireless Power Transfer Systems
  • Nuclear Materials and Properties
  • Advanced Semiconductor Detectors and Materials
  • Functional Brain Connectivity Studies
  • Rare-earth and actinide compounds
  • Advanced Neuroimaging Techniques and Applications

Worcester Polytechnic Institute
2023-2024

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...

10.1088/1361-6560/ad2638 article EN cc-by Physics in Medicine and Biology 2024-02-05

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,...

10.1101/2023.08.20.554037 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-08-21

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.

10.1101/2023.08.11.552996 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-08-15
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