Article
Clinical Neurology
Aprinda Indahlastari, Alejandro Albizu, Jessica N. Kraft, Andrew O'Shea, Nicole R. Nissim, Ayden L. Dunn, Daniela Carballo, Michael P. Gordon, Shreya Taank, Alex T. Kahn, Cindy Hernandez, William M. Zucker, Adam J. Woods
Summary: This study is the first to use individualized finite element models derived from older adults' MRI to predict changes in functional connectivity induced by tDCS application. Results showed a significant positive correlation between current density in the left DLPFC and changes in functional connectivity during active 2 mA stimulation, but no correlation was found during sham stimulation.
Article
Chemistry, Physical
Zhicheng Huang, Huanyou Peng, Xingguo Wang, Fulei Chu
Summary: A finite element dynamic model of a sandwich composite plate was developed using classical laminate theory and Hamilton's principle. The model has good controllability and observability after adopting the joint reduced-order method. An optimal quadratic (LQR) controller was designed for active control of the sandwich panel, and simulation analysis was used to optimize the controller parameters, viscoelastic layer thickness, and sandwich panel covering position. Results showed that the finite element model accurately represented the dynamic characteristics of the original system, and LQR control effectively suppressed vibration of the sandwich plate. The optimal covering position was near the solid support end and the parameters were optimized based on different angles.
Article
Engineering, Aerospace
Shaochong Yang, Yuan Yao, Youchen Li, Lianhua Ma, Ying Zhang, Qingsheng Yang
Summary: The study investigates the geometrically nonlinear random vibration response of stiffened laminated plates under acoustic excitation using the equivalent linearization technique combined with reduced-order model and finite element method. An EL formulation for solving nonlinear random vibration response is derived based on the force error minimization approach. The proposed method shows high accuracy and efficiency in analyzing the geometric nonlinear random vibration response of stiffened laminated plates.
Article
Biophysics
Yuhu Weng, Kewei Bian, Kalish Gunasekaran, Javad Gholipour, Charles Vidal, Haojie Mao
Summary: Understanding the impact of small remotely piloted aircraft systems (sRPAS) on human heads is crucial for improving head protection during ground collisions. Studies have shown that slight changes in impact settings can significantly affect head responses, with arm-first impacts generating significantly higher skull stresses and brain strains compared to regular body-shell-first impacts.
JOURNAL OF BIOMECHANICS
(2021)
Article
Neurosciences
Alexander Guillen, Dennis Q. Truong, Abhishek Datta, Yu Huang
Summary: This study explores the optimal electrode placements for patients with skull defects of different sizes and conductivities using high-resolution head models. The findings suggest that optimized high-definition montages can significantly increase the stimulation intensity at the target area compared to un-optimized montages. The presence of large skull defects reduces the stimulation intensity, while small defects increase it.
FRONTIERS IN HUMAN NEUROSCIENCE
(2023)
Article
Engineering, Civil
Y. D. Chen, J. Y. Hua, D. Fan, Q. Liu, Y. G. Lu, T. Liu, Y. Cai
Summary: Understanding the ballistic behavior of structural materials is crucial for their applications in aeronautical and astronautical industries. In this study, the perforation process of 2-mm thick Inconel 718 superalloy plates by spherical stainless steel 304 projectiles at different impact velocities was investigated using high-speed photography. The results revealed that grain refinement and shear banding were the main microstructural deformation modes near the bullet holes, and shear dominated deformation and tension-shear dominated deformation occurred sequentially in the bullet hole along the impact direction.
THIN-WALLED STRUCTURES
(2023)
Article
Orthopedics
Hwabok Wee, John Spence Reid, Gregory S. Lewis
Summary: This study developed a finite element model of dynamic compression plating and examined the effects of surgical variables on fracture compression and postoperative stability. The model predictions showed good agreement with experimental results, and revealed that plate prebend can eliminate gaps but also lead to a sharp decrease in compression force.
JOURNAL OF ORTHOPAEDIC RESEARCH
(2023)
Article
Biophysics
Natalia Lindgren, Mikkel J. Henningsen, Christina Jacobsen, Chiara Villa, Svein Kleiven, Xiaogai Li
Summary: Traumatic head injuries are still a major cause of death and disability globally, and the mechanics of cranial bone and its impact tolerance are unclear. This study proposed a strain-rate-dependent material model for cranial bone and applied it to subject-specific Finite Element head models to predict skull fractures in real-world fall accidents. The predicted fracture patterns matched well with CT scans and autopsy reports, showing the potential of accurately predicting linear fracture patterns.
BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
(2023)
Article
Multidisciplinary Sciences
Monika Ratajczak, Mariusz Ptak, Artur Kwiatkowski, Konrad Kubicki, Fabio A. O. Fernandes, Johannes Wilhelm, Mateusz Dymek, Marek Sawicki, Slawomir Zolkiewski
Summary: Research shows that most numerical head models are symmetrical. Through in-depth studies on head symmetry, it was concluded that mapping the entire geometry of the skull and brain is crucial for the results of numerical analysis.
Article
Biology
Andres Molero-Chamizo, Michael A. Nitsche, Carolina Gutierrez Lerida, Angeles Salas Sanchez, Raquel Martin Riquel, Rafael Tomas Andujar Barroso, Jose Ramon Alameda Bailen, Jesus Carlos Garcia Palomeque, Guadalupe Nathzidy Rivera-Urbina
Summary: This study demonstrates standard model-based electric field simulations for motor, dorsolateral prefrontal, and posterior parietal cortex stimulation using twenty typical electrode configurations. Results from two different current flow-modeling tools show consistent findings, with some modest differences in distribution and intensity of the electric fields detected.Nonetheless, important limitations exist in both methods which restrict the spatial specificity of the intervention.
Article
Construction & Building Technology
D. Court-Patience, M. Garnich
Summary: Designing gusset plates poses challenges in terms of ductility and compression, with approximate yield force analysis and international design codes being commonly used methods. Utilizing finite element modeling for study can improve design methods and enhance accuracy and safety in design.
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
(2021)
Article
Chemistry, Physical
Elena Ciampa, Francesca Ceroni, Maria Rosaria Pecce
Summary: This paper analyzes the bond behavior at the plate-concrete interface, which is crucial for the effectiveness of the strengthening system, using 3D finite element models calibrated on experimental results. While fiber composite materials and steel plates are effective solutions for strengthening, there is a lack of proper design guidelines and detailed models at present.
Article
Computer Science, Information Systems
Alberto Delgado, Giulia Di Capua, Kateryna Stoyka, Lixin Shi, Nicola Femia, Antonio Maffucci, Salvatore Ventre, Pedro Alou, Jesus Angel Oliver, Jose Antonio Cobos
Summary: This paper proposes a new method for designing and optimizing coils for Inductive Power Transfer (IPT) systems. By using empirical equations, the self-inductance and mutual inductance values can be obtained more quickly. The accuracy of this method is validated by comparing with experimental results.
Article
Neurosciences
Aprinda Indahlastari, Ayden L. Dunn, Samantha Pedersen, Jessica N. Kraft, Shizu Someya, Alejandro Albizu, Adam J. Woods
Summary: This study compares current density models generated using artificial electrode placement with those generated using real electrode placement in older adults. The findings suggest that closely monitoring and documenting electrode location during tDCS may lead to more accurate modeling and better treatment outcomes. Detailed physical electrode location data can provide more precise information and produce more robust tDCS modeling results.
FRONTIERS IN HUMAN NEUROSCIENCE
(2023)
Article
Physiology
Yiling Fan, Jaume Coll-Font, Maaike van den Boomen, Joan H. Kim, Shi Chen, Robert Alan Eder, Ellen T. Roche, Christopher T. Nguyen
Summary: The study investigates the growth mechanism of the heart using computational models, histology, and anatomy to explore the growth and remodeling processes at the organ and tissue-cellular levels. Finite element analysis at the organ level can better study the biomechanical properties of the heart, revealing the mechanism of cardiomyocyte growth.
FRONTIERS IN PHYSIOLOGY
(2021)
Article
Neurosciences
Sofia Straudi, Valentina Bonsangue, Sonia Mele, Laila Craighero, Andrea Montis, Felipe Fregni, Susanna Lavezzi, Nino Basaglia
Review
Engineering, Biomedical
Mariana F. G. Lucena, Paulo E. P. Teixeira, Camila Bonin Pinto, Felipe Fregni
EXPERT REVIEW OF MEDICAL DEVICES
(2019)
Review
Engineering, Biomedical
Isadora Santos Ferreira, Beatriz Teixeira Costa, Clara Lima Ramos, Pedro Lucena, Aurore Thibaut, Felipe Fregni
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2019)
Article
Clinical Neurology
Aline P. Brietzke, Maxciel Zortea, Fabiana Carvalho, Paulo R. S. Sanches, Danton P. Silva, Iraci Lucena da Silva Torres, Felipe Fregni, Wolnei Caumo
Article
Neurosciences
Geraldine Martens, Felipe Fregni, Manon Carriere, Alice Barra, Steven Laureys, Aurore Thibaut
Article
Neurosciences
Ross D. Zafonte, Felipe Fregni, Michael J. G. Bergin, Richard Goldstein, Nancy Boudreau, Iris Monge, Matthew Luz, Judith Frazier, Joseph T. Giacino
Article
Neurosciences
Leon Morales-Quezada, Mirret M. El-Hagrassy, Beatriz Costa, R. Andy McKinley, Pengcheng Lv, Felipe Fregni
FRONTIERS IN HUMAN NEUROSCIENCE
(2019)
Article
Clinical Neurology
Bettega Costa Lopes, Liciane Fernandes Medeiros, Vanessa Silva de Souza, Stefania Giotti Cioato, Helouise Richardt Medeiros, Gabriela Gregory Regner, Camila Lino de Oliveira, Felipe Fregni, Wolnei Caumo, Iraci L. S. Torres
Review
Clinical Neurology
Alejandra Cardenas-Rojas, Kevin Pacheco-Barrios, Stefano Giannoni-Luza, Oscar Rivera-Torrejon, Felipe Fregni
EXPERT REVIEW OF NEUROTHERAPEUTICS
(2020)
Review
Clinical Neurology
Amanda Vitoria Lacerda De Araujo, Felipe Piccarone Goncalves Ribeiro, Thais Massetti, Kelsey A. Potter-Baker, Mar Cortes, Ela Bhatt Plow, Talita Dias Da Silva, James Tonks, Renato Anghinah, Fernando Henrique Magalhaes, Felipe Fregni, Carlos Bandeira De Mello Monteiro
Review
Psychiatry
Dante Duarte, Mirret M. El-Hagrassy, Tiago Castro e Couto, Wagner Gurgel, Felipe Fregni, Humberto Correa
Article
Neurosciences
Hanan Ibrahim Zehry, Ahmed Maaty, Mirret M. El-Hagrassy, Akio Ueda, Hiroshi Kurumadani, Felipe Fregni, Toru Sunagawa
Article
Multidisciplinary Sciences
Ana Claudia Souza Palmer, Maxciel Zortea, Andressa Souza, Vinicius Santos, Jorge Villanova Biazus, Iraci L. S. Torres, Felipe Fregni, Wolnei Caumo
Review
Clinical Neurology
Adriano H. Moffa, Donel Martin, Angelo Alonzo, Djamila Bennabi, Daniel M. Blumberger, Isabela M. Bensenor, Zafiris Daskalakis, Felipe Fregni, Emmanuel Haffen, Sarah H. Lisanby, Frank Padberg, Ulrich Palm, Lais B. Razza, Bernardo Sampaio-Jr, Colleen Loo, Andre R. Brunoni
PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
(2020)
Article
Anesthesiology
Marionna Munger, Camila B. Pinto, Kevin Pacheco-Barrios, Dante Duarte, Muhamed Enes Gunduz, Marcel Simis, Linamara R. Battistella, Felipe Fregni
Article
Neurosciences
Jose Sanchez-Bornot, Roberto C. Sotero, J. A. Scott Kelso, Ozguer Simsek, Damien Coyle
Summary: This study proposes a multi-penalized state-space model for analyzing unobserved dynamics, using a data-driven regularization method. Novel algorithms are developed to solve the model, and a cross-validation method is introduced to evaluate regularization parameters. The effectiveness of this method is validated through simulations and real data analysis, enabling a more accurate exploration of cognitive brain functions.