Abbas Babajani-Feremi, PhD

Assistant Professor

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

Office: STE P320 LE BONHEUR OUTPATIENT CENTER
51 N. DUNLAP STREET
MEMPHIS TN 38105
Tel: (901) 287-4612
ababajan@uthsc.edu
http://www.uthsc.edu/pediatrics/neurosciences/

Education

  • Postdoctoral Fellow (Staff Scientist), Washington University School of Medicine, St. Louis, Missouri, Human Connectome Project (HCP)
  • Postdoctoral Fellow and Instructor, Henry Ford Health System, Detroit, Michigan
  • Ph.D., University of Tehran, Biomedical Engineering

My CV

Research Keywords

Signal and image processing

Medical imaging

Brain connectivity analysis

Epilepsy spike/seizure localization

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/Specialty

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.

Publications

  1. Khazaee, A, Ebrahimzadeh, A, Babajani-Feremi, A. Identifying patients with Alzheimer's disease using resting-state fMRI and graph theory. Clin Neurophysiol, 2015.
  2. Narayana, S, Rezaie, R, McAfee, SS, Choudhri, AF, Babajani-Feremi, A, Fulton, S, Boop, FA, Wheless, JW, Papanicolaou, AC. Assessing motor function in young children with transcranial magnetic stimulation. Pediatr Neurol, 52 (1), 94-103, 2015.
  3. Babajani-Feremi, A, Rezaie, R, Narayana, S, Choudhri, AF, Fulton, SP, Boop, FA, Wheless, JW, Papanicolaou, AC. Variation in the topography of the speech production cortex verified by cortical stimulation and high gamma activity. Neuroreport, 25 (18), 1411-7, 2014.
  4. Ali, MM, Kumar, S, Shankar, A, Varma, NR, Iskander, AS, Janic, B, Chwang, WB, Jain, R, Babajeni-Feremi, A, Borin, TF, Bagher-Ebadian, H, Brown, SL, Ewing, JR, Arbab, AS. Effects of tyrosine kinase inhibitors and CXCR4 antagonist on tumor growth and angiogenesis in rat glioma model: MRI and protein analysis study. Transl Oncol, 6 (6), 660-9, 2013.
  5. Larson-Prior, LJ, Oostenveld, R, Della Penna, S, Michalareas, G, Prior, F, Babajani-Feremi, A, Schoffelen, JM, Marzetti, L, de Pasquale, F, Di Pompeo, F, Stout, J, Woolrich, M, Luo, Q, Bucholz, R, Fries, P, Pizzella, V, Romani, GL, Corbetta, M, Snyder, AZ, ,. Adding dynamics to the Human Connectome Project with MEG. Neuroimage, 80, 190-201, 2013.
  6. Babajani-Feremi, A, Gumenyuk, V, Roth, T, Drake, CL, Soltanian-Zadeh, H. Connectivity analysis of novelty process in habitual short sleepers. Neuroimage, 63 (3), 1001-10, 2012.
  7. Zempel, JM, Politte, DG, Kelsey, M, Verner, R, Nolan, TS, Babajani-Feremi, A, Prior, F, Larson-Prior, LJ. Characterization of scale-free properties of human electrocorticography in awake and slow wave sleep States. Front Neurol, 3, 76, 2012.
  8. Narang, J, Jain, R, Arbab, AS, Mikkelsen, T, Scarpace, L, Rosenblum, ML, Hearshen, D, Babajani-Feremi, A. Differentiating treatment-induced necrosis from recurrent/progressive brain tumor using nonmodel-based semiquantitative indices derived from dynamic contrast-enhanced T1-weighted MR perfusion. Neuro Oncol, 13 (9), 1037-46, 2011.
  9. Nazem-Zadeh, MR, Saksena, S, Babajani-Fermi, A, Jiang, Q, Soltanian-Zadeh, H, Rosenblum, M, Mikkelsen, T, Jain, R. Segmentation of corpus callosum using diffusion tensor imaging: validation in patients with glioblastoma. BMC Med Imaging, 12, 10, 2011.
  10. Janic, B, Jafari-Khouzani, K, Babajani-Feremi, A, Iskander, AS, Varma, NR, Ali, MM, Knight, RA, Arbab, AS. MRI tracking of FePro labeled fresh and cryopreserved long term in vitro expanded human cord blood AC133+ endothelial progenitor cells in rat glioma. PLoS One, 7 (5), e37577, 2011.
  11. Babajani-Feremi, A, Soltanian-Zadeh, H. Development of a variational scheme for model inversion of multi-area model of brain. Part I: simulation evaluation. Math Biosci, 229 (1), 64-75, 2011.
  12. Babajani-Feremi, A, Soltanian-Zadeh, H. Development of a variational scheme for model inversion of multi-area model of brain. Part II: VBEM method. Math Biosci, 229 (1), 76-92, 2011.
  13. Babajani-Feremi, A, Soltanian-Zadeh, H. Multi-area neural mass modeling of EEG and MEG signals. Neuroimage, 52 (3), 793-811, 2010.
  14. Ali, MM, Janic, B, Babajani-Feremi, A, Varma, NR, Iskander, AS, Anagli, J, Arbab, AS. Changes in vascular permeability and expression of different angiogenic factors following anti-angiogenic treatment in rat glioma. PLoS One, 5 (1), e8727, 2009.
  15. Babajani-Feremi, A, Soltanian-Zadeh, H, Moran, JE. Integrated MEG/fMRI model validated using real auditory data. Brain Topogr, 21 (1), 61-74, 2008.
  16. Babajani, A, Soltanian-Zadeh, H. Integrated MEG/EEG and fMRI model based on neural masses. IEEE Trans Biomed Eng, 53 (9), 1794-801, 2006.
  17. A. Babajani-Feremi, and H. Soltanian-Zadeh. Combined MEG and fMRI model. Journal of Iranian Association of Electrical and Electronics Engineers, 2 (2), 1-17, 2006.
  18. Babajani, A, Nekooei, MH, Soltanian-Zadeh, H. Integrated MEG and fMRI model: synthesis and analysis. Brain Topogr, 18 (2), 101-13, 2005.