Publications by authors named "Amirreza Heshmat"

. The cochlear implant (CI) belongs to the most successful neuro-prostheses. Traditionally, the stimulating electrode arrays are inserted into the scala tympani (ST), the lower cochlear cavity, which enables simple surgical access.

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  • * By utilizing contrast-enhanced CT images from three patients, the researchers simulated temperature distribution during MWA, aiming to predict effective ablation zones for better treatment planning.
  • * Results showed a strong correlation between predicted and actual ablation zones, with Dice scores ranging from 0.73 to 0.86, demonstrating that these 3D models can enhance accuracy in MWA strategies and treatment outcomes.
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  • Analyzing omics data types separately can limit the ability to find important variations that are consistent across different assays.
  • Integrating multiple omics data types into one model can enhance statistical power, but it poses challenges due to the different levels at which these data are measured.
  • The iNETgrate package was developed to integrate transcriptome and DNA methylation data into a single gene network, showing improved prognostic capabilities over standard clinical methods in five independent datasets.
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After hearing loss retrograde degeneration of spiral ganglion neurons (SGNs) has been described. Studies modeling the effects of degeneration mostly omitted peripheral processes (dendrites). Recent experimental observations indicated that degenerating SGNs manifested also a reduced diameter of their dendrites.

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Increasing complexity in extracellular stimulation experiments and neural implant design also requires realistic computer simulations capable of modeling the neural activity of nerve cells under the influence of an electrical stimulus. Classical model approaches are often based on simplifications, are not able to correctly calculate the electric field generated by complex electrode designs, and do not consider electrical effects of the cell on its surrounding. A more accurate approach is the finite element method (FEM), which provides necessary techniques to solve the Poisson equation for complex geometries under consideration of electrical tissue properties.

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Neural health is of great interest to determine individual degeneration patterns for improving speech perception in cochlear implant (CI) users. Therefore, in recent years, several studies tried to identify and quantify neural survival in CI users. Among all proposed techniques, polarity sensitivity is a promising way to evaluate the neural status of auditory nerve fibers (ANFs) in CI users.

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Due to limitations of human studies, detailed computational models enable understanding the neural signaling in the degenerated auditory system and cochlear implants (CIs). Four human cochleae were used to quantify hearing levels depending on dendritic changes in diameter and myelination thickness from type I of the auditory nerve fibers (ANFs). Type I neurons transmit the auditory information as spiking pattern from the inner hair cells (IHCs) to the cochlear nucleus.

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The application of cochlear implants can be studied with computational models. The electrical potential distribution induced by an implanted device is evaluated with a volume conductor model, which is used as input for neuron models to simulate the reaction of cochlear neurons to micro-stimulation. In order to reliably predict the complex excitation profiles it is vital to consider an accurate representation of the human cochlea geometry including detailed three-dimensional pathways of auditory neurons reaching from the organ of Corti through the cochlea-volume.

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Synopsis of recent research by authors named "Amirreza Heshmat"

  • - Amirreza Heshmat's research focuses on advanced computational models and simulations to enhance the effectiveness of cochlear implants and liver cancer treatment, aiming to improve patient outcomes through personalized approaches.
  • - His studies on cochlear implants investigate the intricacies of auditory nerve fiber excitability, electrode positioning, and the effects of neural degeneration on auditory processing, highlighting the importance of understanding individual variations in nerve health for better auditory rehabilitation.
  • - Heshmat's work also encompasses integrating multi-omics data for enhanced biological insights, particularly through innovative methodologies like the iNETgrate package, which aims to correlate gene expression and DNA methylation for improved genetic research applications.