Advanced Diagnostic & Interventional Radiology Research Center | Persian Paradigm for Language Cortical Mapping

Advanced Diagnostic & Interventional Radiology Research Center | Persian Paradigm for Language Cortical Mapping
| Aug 3 2026
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Advanced Diagnostic & Interventional Radiology Research Center

COVID-19 pandemic 

During the COVID-19 pandemic, the Radiology Research Center at Tehran University of Medical Sciences continued its research activities despite the challenges posed by the increased demand for CT scans of COVID-19 patients and the necessity of adhering to strict health protocols. This center played a crucial role in improving medical imaging techniques, optimizing diagnostic protocols, and advancing technologies related to CT scan image analysis.

Faculty members, researchers, and staff remained committed to ensuring the safety and well-being of healthcare professionals and patients while actively engaging in imaging data analysis, developing artificial intelligence algorithms for faster disease detection, publishing scientific articles, and presenting their findings at international conferences. These efforts aimed to enhance diagnostic accuracy, improve treatment processes, and alleviate pressure on healthcare systems.

 

Key achievements of the Radiology Research Center during the COVID-19 pandemic include:


✔️ Development and optimization of lung imaging protocols for faster and more accurate COVID-19 diagnosis
✔️ Implementation of artificial intelligence technologies for automated CT scan analysis and reduced diagnosis time
✔️ Publication of high-impact research articles on innovative imaging methods for COVID-19 patients
✔️ Participation in national and international projects focused on COVID-19 diagnosis and patient management

The center remains dedicated to advancing research in medical imaging and continues to contribute as a leading scientific institution in improving the quality of diagnostic and therapeutic services.

 

Some of the center's significant achievements during the pandemic include:

 

  • Release Date : Jun 16 2026 - 11:03
  • : 15
  • Study time : 1 minute(s)

Persian Paradigm for Language Cortical Mapping: Development, Feasibility, and Evaluation

Persian Paradigm for Language Cortical Mapping {faces}

Background Intraoperative language tasks often inadequately assess complex grammatical processes. This study aims to improve Persian cortical mapping by integrating object naming and sentence completion tasks. Multi‐task language (MTL), consisted of an object naming task and a semantically relevant verb, was designed. Methods The content validity ratio (CVR) and index (CVI) were calculated to determine task items retention. Twenty‐five right‐handed patients with brain mass lesions in language‐associated regions were enrolled. Each patient received a medical recommendation for awake surgery, and preoperative fMRI data were collected through verb and syntax generation tasks. Activations in language‐related regions for object naming, word generation, and MTL were compared. Lateralization of brain activity was evaluated for each participant by calculating the Laterality Index (LI). Results The CVR for all items ranged from 0.9 to 1 (0.93 ± 0.09), while the CVI ranged from 0.8 to 1 (0.94 ± 0.07). Significant activations were identified during object naming, particularly in the left precentral gyrus and inferior frontal gyrus (z = 7.53). For word generation, activations were bilateral in the fusiform gyrus and Broca (z = 5.54). The MTL task showed its highest activation in the fusiform and inferior temporal gyrus (z = 6.86). A significant difference was found between the LI of object naming and word generation (p = 0.003), while MTL comparisons were not statistically significant. Conclusion The developed Persian intraoperative language paradigm, named MTL, demonstrated validity and feasibility, with significant activation in key language areas, particularly the left inferior frontal gyrus

  • Article_DOI : 10.1002/brb3.71324
  • Author(s) : alireza tabibkhooei
  • News Group : research,research article
  • News Code : 323647
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