Dr. Abbas Babajani-Feremi, PhD


Abbas Babajani-Feremi

Assistant Professor
Department of Pediatrics
Department of Anatomy and Neurobiology
The University of Tennessee Health Science Center


Le Bonheur Children's Medical Center
51 N. Dunlap St., Ste P320
Outpatient Center
Memphis, TN 38105
Phone: (901) 287-4612
Email: Abbas Babajani-Feremi

Education

  • Ph.D. Institution: University of Tehran, Biomedical Engineering
  • Postdoctoral: Henry Ford Health System, Detroit, MI; Washington University School of Medicine, St Louis, MO - Human Connectome Project (HCP)

Research Keywords

  • Signal and image processing
  • Medical imaging
  • Brain connectivity analysis
  • Functional magnetic resonance imaging (fMRI)
  • Magnetoencephalography (MEG) and electroencephalography (EEG)
  • Electrocorticography (ECoG) (or intracranial EEG (iEEG))
  • Transcranial magnetic stimulation (TMS)
  • Dynamic contrast enhancement MRI (DCE-MRI)
  • Epilepsy, Alzheimer’s disease, sleep disorder, and traumatic brain injury (TBI)

Research Interest

My research area is in the field of medical image and signal processing and analysis. In particular, I am interested in application of neuroimaging techniques, such as functional magnetic resonance imaging (fMRI), magnetoencephalography (MEG), electroencephalography (EEG), and electrocorticography (ECoG) in diagnostic and treatment of patients with epilepsy, Alzheimer’s disease, sleep disorder, and traumatic brain injury (TBI). My main research interest is the application of the brain connectivity analysis using fMRI and MEG/EEG in diagnostic and treatment of these diseases. For instance, I am utilizing the resting-state fMRI (rs-fMRI) brain connectivity analysis in Alzheimer’s disease (AD). We combine the machine learning algorithm, e.g. the support vector machine (SVM), with the graph theoretical approach to develop an accurate diagnostic tool based on the rs-fMRI for distinguishing three groups of subjects: healthy control, patients with mild cognitive impairment, and patients with AD.

         Another research area that I have been working is the functional, and in particular language, mapping using the intracranial ECoG recording, fMRI, MEG, and transcranial magnetic stimulation (TMS). Specifically, I am interested in studying enhancement of the power of ECoG recording in the high gamma (> 50 Hz) frequency range during different cognitive tasks (e.g. language and memory).

I am also interested in applications of the dynamic contrast-enhancement MRI (DCE-MRI) for characterizing tumors. I worked on determining the tumor size and expression of vascular endothelial growth factor receptors in treated and non-treated implanted glioma (U-251) by in vivo DCE-MRI and single photon emission computed tomography (SPECT). We also assessed the utility of non-model based ‘semi-quantitative’ indices derived from DCE-MRI for differentiating treatment induced necrosis from recurrent/progressive tumor patients. The proposed semi quantitative indices were robust and reproducible clinical tool that can help in quick and efficient decision-making in evaluating efficiency of new anti-angiogenic agents. 

Representative Publications

  • Arya R, Babajani-Feremi A, Byars AW, Vannest J, Greiner HM, Wheless JW, Mangano FT, Holland KD. A model for visual naming based on spatiotemporal dynamics of ECoG high-gamma modulation. Epilepsy Behav. 2019 Aug 13;99:106455. doi: 10.1016/j.yebeh.2019.106455. [Epub ahead of print] PubMed PMID: 31419636.
  • Babajani-Feremi A, Fulton SP, Holder CM, Choudhri AF, Boop FA, Wheless JW. Localization of Expressive Language Cortex in a 2-Year-Old Child Using High-Gamma Electrocorticography. J Child Neurol. 2019 Jul 24:883073819863999. doi: 10.1177/0883073819863999. [Epub ahead of print] PubMed PMID: 31339411.
  • Youssofzadeh V, Babajani-Feremi A. Mapping critical hubs of receptive and expressive language using MEG: A comparison against fMRI. Neuroimage. 2019 Jul 17;201:116029. doi: 10.1016/j.neuroimage.2019.116029. [Epub ahead of print] PubMed PMID: 31325641.
  • Babajani A, Iranbakhsh A, Oraghi Ardebili Z, Eslami B. Differential growth, nutrition, physiology, and gene expression in Melissa officinalis mediated by zinc oxide and elemental selenium nanoparticles. Environ Sci Pollut Res Int. 2019 Aug;26(24):24430-24444. doi: 10.1007/s11356-019-05676-z. Epub 2019 Jun 22. PubMed PMID: 31230234.
  • Mostame P, Moharramipour A, Hossein-Zadeh GA, Babajani-Feremi A. Statistical Significance Assessment of Phase Synchrony in the Presence of Background Couplings: An ECoG Study. Brain Topogr. 2019 May 25. doi: 10.1007/s10548-019-00718-8. [Epub ahead of print] PubMed PMID: 31129754.
  • Hojjati SH, Ebrahimzadeh A, Khazaee A, Babajani-Feremi A; Alzheimer's Disease Neuroimaging Initiative. Predicting conversion from MCI to AD by integrating rs-fMRI and structural MRI. Comput Biol Med. 2018 Nov 1;102:30-39. doi: 10.1016/j.compbiomed.2018.09.004. Epub 2018 Sep 15. PubMed PMID: 30245275.

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