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Mission

The mission of the NSF-funded CATE center at FIU is to foster cross-disciplinary research as a catalyst for our students to train and develop their creative thinking by bringing in synergy the fields of image and signal processing with application to neuroscience and assistive technology research. In the merging of these technologies, we see a productive ground for the development of new methodologies and designs that (1) meet the impending needs in neuroscience as we elicit both the functional mapping of the brain, and the causality of key brain disorders; and (2) design assistive technology tools that address effectively the issue of "Universal Accessibility", focusing on visual impairment and motor disability. The premise is to translate new theoretical findings into the realm of real-world applicability.

Major Research Themes

  • Image and signal processing
  • Neuroimaging
  • Machine learning
  • Brain Mapping
  • Informatics and big data
  • Web interfaces
  • Brain Stimulation for Therapeutic/Curative interventions

Major Activities of the CATE Center

  • Establish a research platform for the cohesive study of the human brain by bringing together several hospitals and academic institutions in a consortium that will instigate multi-site collaborative studies with a large number of patients in accordance to standardized protocols and tests.
  • Create an environment that supports cross-disciplinary initiatives, joint collaborations and programs with access to modern equipment and facilities of unprecedented sophistication and integration.
  • Extend the scientific reach of these interdisciplinary efforts to overcome the primary barriers in identifying the different factors that influence the functional organization of the brain, as new paradigms and new findings will come to benefit the scientific community as a whole, and to provide critical help to hundreds of patients yearly.
  • Provide a consolidated infrastructure for neuroimaging that will come in support of a new cohort of Ph.D. students and to a well-trained and skilled workforce able to bridge engineering and computing know-how to the fields of medicine and the biosciences.

 

Recent Publications

  • S. Sargolzaei, M. Cabrerizo, A. Sargolzaei, S. Noei, H. Rajaei, A. Salah Eddin, A. Pinzon-Ardila, S. M. Gonzalez Arias, P. Jayakar and M. Adjouadi, “A probabilistic approach for pediatric epilepsy diagnosis using brain functional connectivity networks,

  • Cabrerizo, A. Cabrera, J. Perez, J. De la Rua, N. Rojas, Q. Zhou, A. Pinzon-Ardila, S. Gonzalez-Arias and M. Adjouadi, “Induced Effects of Transcranial Magnetic Stimulation on the Autonomic Nervous System and the Cardiac Rhythm.

  • Eddin, A. S., Wang, J., Wu, W., Sargolzaei, S., Bjornson, B., Jones, R. A., Gaillard, W. D. and Adjouadi, M. (2014), The effects of pediatric epilepsy on a language connectome. Hum. Brain Mapp.. doi: 10.1002/hbm.22600

  • Krishnatej Vedala, S. M. Amin Motahari, Mohammed Goryawala, Mercedes Cabrerizo, Ilker Yaylali, and Malek Adjouadi, “Quasi-Stationarity of EEG for Intraoperative Monitoring during Spinal Surgeries,” The Scientific World Journal, vol. 2014, Article ID 468269, 8 pages, 2014. doi:10.1155/2014/468269

  • K. Vedala, S.M.A. Motahari, M. Goryawala, M. Cabrerizo, I. Yaylali, and M. Adjouadi. “Novel Time-Frequency-Eigen Filter for Intraoperative Neurophysiologic Monitoring in Spinal Surgeries”. Proceedings of the 6th International IEEE EMBS Conference on Neural Engineering, pp. 1578-1581, November 6-8, 2013, San Diego, CA.

  • Q. Zhou, M. Goryawala, M. Cabrerizo, J. Wang, W. Barker, R. Duara, and M. Adjouadi. “Regional MRI Measures and Neuropsychological Test for Multi-dimensional Analysis in Alzheimer’s Disease”. Proceedings of the 6th International IEEE EMBS Conference on Neural Engineering, pp. 533-536, November 6-8, 2013, San Diego, CA.

  • S. Sargolzaei, A. Salah Eddin, M. Cabrerizo, and M. Adjouadi. “Resting State Functional Connectivity Based on Principal Component Transformation of Cortical fMRI Measurements”. Proceedings of the 6th International IEEE EMBS Conference on Neural Engineering, pp. 1501-1504, November 6-8, 2013, San Diego, CA.