Ray Razlighi

Assistant Professor of Neuroimaging

18-310 New York Presbyterian Hospital
630 W. 168th St, P&S Box 16
New York, NY 10032

Phone: +1 212-342-1352
Fax: +1 212-342-1838
Email: qr2108@columbia.edu

Research Areas:
Neuroimaging, spatio-temporal signal processing, multi-dimensional causal Markov random field, information theory in medical image analysis, high temporal resolution fMRI.

Lab Web Site

Education

  • 2009 PhD in Electrical Engineering, University of Texas, TX, USA
  • 2000 MS in Electrical Engineering, K.N.T. University of Tech, Tehran, Iran
  • 1997 BS in Electrical Engineering, College of Telecommunication, Tehran, Iran

Post-doctoral Training

  • 09/11 – 06/12    Post Doctoral Research Fellow, Cognitive Neuroscience Division, Sergievsky Center, Columbia University, NYC
  • 04/11 – 08/11    Post Doctoral Research Scientist, Cognitive Neuroscience Division, Taub Institute, Columbia University, NYC
  • 02/10 – 04/11    Post Doctoral Research Scientist, Dept. of Psychiatry, Molecular Imaging and Neuropathology Division, Columbia University, NYC

Professional Experience

  • 07/12 – present  Assistant Professor, Columbia University, New York, NY
  • 03/04 – 02/10    Senior System Engineer, Alcatel-Lucent, Plano, TX
  • 06/01 – 03/04    Embedded Software Engineer, ENI Inc., Bellevue, WA
  • 09/97 – 06/01    Head of DSP Group, Mobile Communication Technology Inc., Tehran, Iran

Grant Supports

  • 06/13 – 07/18    Analyzing age-related changes of brain activation in subjects native space, NIA K01AG044467, Principal Investigator
  • 01/04 – 08/16    Imaging of Cognition, Learning and Memory in Aging, PI: Y. Stern, NIA RO1 AG26158, Co-Investigator
  • 09/11 – 08/16    Exploring Cognitive Aging Using Reference Ability Neural Networks, NIA R01 AG038465, Co-Investigator

Publications

  • 28) Y. Gu, A. M. Brickman, Y. Stern, C. G. Habeck, Q. R. Razlighi; J. A. Luchsinger, J. J. Manly, N. Schupf, R. Mayeux, N. Scarmeas, “Mediterranean diet and brain structure in a multiethnic elderly cohort”, Neurology, Accepted, In Press, 2015.
  • 27) Q. R. Razlighi, C. Habeck, D. Barulli, Y. Stern, “Cognitive neuroscience neuroimaging repository for the adult lifespan,” NeuroImage, Available online 24 August 2015.
  • 26) H. Oh, J. Steffener, Q. R. Razlighi, C. Habeck, D. Liu, Y. Gazes, S. Janicki, Y. Stern, “Aβ-related hyperactivation in frontoparietal control regions in cognitively normal elderly,” Neurobiology of Aging, Available online 24 August 2015.
  • 25) T. A. Salthouse, C. Habeck, Q. Razlighi, D. Barulli, Y. Gazes, Y. Stern, “Breadth and age-dependency of relations between cortical thickness and cognition,” Neurobiology of Aging, Available online 18 August 2015.
  • 24) Y. Gu , Q. R. Razlighi, L. B. Zahodne, S. C. Janicki, M. Ichise, J. J. Manly, D. P. Devanand, A. M. Brickman, N. Schupf, R. Mayeux, Y. Stern, “Brain Amyloid Deposition and Longitudinal Cognitive Decline in Nondemented Older Subjects: Results from a Multi-Ethnic Population”, PLoS ONE, vol. 10, no 7, 2015.
  • 23) C. Habeck, J. Steffener, D. Barulli, Y. Gazes, Q. R. Razlighi, D. Shaked, T. Salthouse, Y. Stern, “Making cognitive latent variables manifest: Distinct neural networks for fluid reasoning and processing speed”. Journal of Cognitive Neuroscience, vol. 27, no 6, pp. 1249-1258, 2015.
  • 22) D. Parker, R. T. Gerraty, and Q. R. Razlighi, “Optimal Recovery of Signal from Interleaved fMRI data,” IEEE international Symposium on Biomedical Imaging, pp 1372 – 1375, New York, NY, 2015.
  • 21) A.M. Brickman, V.A. Guzman, M. Gonzalez, Q. R. Razlighi, Y. Gu, A. Narkhede, S. Janicki, M. Ichise, Y. Stern, J.J. Manly, N. Schupf, R.S. Marshall, “Cerebral autoregulation, beta amyloid, and white matter hyperintensities are interrelated,” Neuroscience Letters, vol. 592, pp 54–58, 2015.
  • 20) Y. Gazes, C. Habeck, D. O’Shea, Q. R. Razlighi, J. Steffener, Y. Stern, “Functional network mediates age-related differences in reaction time: A replication and extension study,” Brain and Behavior , vol. 5, no. 5, 2015.
  • 19) D. Parker, G.Rotival, A. Laine, and Q. R. Razlighi, “Retrospective Detection of Interleaved Slice Acquisition Parameters From fMRI Data,” IEEE international Symposium on Biomedical Imaging, Beijing, China, 2014.
  • 18) Q. R. Razlighi, E. Stallard, J. Brandt, D. Blacker, M. Albert, N. Scarmeas, B. Kinosian, A. I. Yashin, Y. Stern, “A New Algorithm for Predicting Time to Disease Endpoints in Alzheimer’s Disease Patients,” Journal of Alzheimer Disease (JAD), vol. 38, no. 3, pp. 661-668, 2014.
  • 17) Q. R. Razlighi, C. Habeck, J. Steffener, Y. Gazes, L. B. Zahodne, A. M. Brandt, and Y. Stern, “Unilateral disruptions in the default network with aging in native space,” Brain and Behavior , vol. 4, no. 2, pp. 143-157, 2014.
  • 16) Q. R. Razlighi and N. Kehtarnavaz, “Spatial Mutual Information as Similarity Measure for 3D Brain Image Registration”, IEEE Journal of Translational Engineering in Health and Medicine, vol.2, no., pp.27-34, 2014.
  • 15) J. Steffener, D. Barulli, C. Habeck, D. O’Shea, Q. R. Razlighi, Y. Stern. “The role of education and verbal abilities in altering the effect of age-related gray matter differences on cognition”. PLoS One. vol. 9, no 3, 2014.
  • 14) S. Blum, C. Habeck, J. Steffener, Q. R. Razlighi, and Y. Stern, “ Functional connectivity of the posterior hippocampus is more dominant as we age,” Cognitive Neuroscience , vol. 5, no. 3, pp. 150-159, 2014.
  • 13) Y. Stern, C. Habeck, J. Steffener, D. Barulli, Y. Gazes, Q. R. Razlighi, D. Shaked, T. Salthouse, “The Reference Ability Neural Network Study: Motivation, Design, and Initial Feasibility Analyses”, NeuroImage, vol 103, pp 139-151, 2014.
  • 12) Brickman AM, Schupf N, Manly JJ, Stern Y, Luchsinger JA, Provenzano FA, Narkhede A, Q. R. Razlighi, Collins-Praino L, Artero S, Akbaraly TN, Ritchie K, Mayeux R, Portet F., “APOE ε4 and risk for Alzheimer’s disease: Do regionally distributed white matter hyperintensities play a role?,“ Alzheimer’s & Dementia, vol 10, no. 6, pp 619–629, 2014.
  • 11) Q. R. Razlighi, J. Steffener, C. Habeck, A. Laine, and Y. Stern, “Resting State Inter and Intra Hemispheric Human Brain Functional Connectivity,” Proceedings of IEEE Engineering in Medicine and Biology Society, pp. 6522-6525, Osaka, Japan, Jul. 2013.
  • 10) Q. R. Razlighi, N. Kehtarnavaz, and S. Yousefi, “Evaluating Similarity Measures for Brain Image Registration”, Journal of Visual Communication and Image Representation, vol. 24, no. 7, pp. 977-987, 2013.
  • 9) S. Yousefi, N. Kehtarnavaz, Y. Cao, Q. R. Razlighi, “Bilateral Markov Mesh Random Field and its Application to Image Restoration”, Journal of Visual Communication and Image Representation, vol. 23, no. 7, pp. 1051-1059, 2012.
  • 8) Q. R. Razlighi, A. Orekhov, A. Laine, and Y. Stern, “Causal MRF for Brain MR Image Segmentation,” Proceedings of IEEE Engineering in Medicine and Biology Society, San Diego, Aug. 2012.
  • 7) M. Rahman, N. Kehtarnavaz, Q. R. Razlighi, “Using image entropy maximum for auto exposure”, SPIE Proceedings, Journal of Electronic Imaging, vol. 20, no. 1, 013007-10, 2011.
  • 6) Q. R. Razlighi and Y. Stern, “Blob-like feature extraction and matching for brain MR images,” Proceedings of IEEE Engineering in Medicine and Biology Society, Boston, Aug. 2011.
  • 5) Q. R. Razlighi, M. T. Rahman, and N. Kehtarnavaz, “Fast Computation Methods for Estimation of Image Spatial Entropy”, Journal of Real-Time Image Processing, vol. 6, no. 2, pp. 137-142, 2011.
  • 4) Q. R. Razlighi and N. Kehtarnavaz, “A comparison study of image spatial entropy”, Proceedings of the SPIE Conference on Visual Communications and Image Processing, San Jose, Jan. 2009.
  • 3) Q. R. Razlighi, N. Kehtarnavaz, and A. Nosratinia, “Computation of image spatial entropy using quadrilateral Markov random field”, IEEE Transaction on Image Processing, vol. 18, no. 12, pp. 2629-39, 2009.
  • 2) Q. R. Razlighi and N. Kehtarnavaz, “Correction of over-exposed images captured by cellphone cameras,” Proceedings of IEEE International Symposium on Consumer Electronics, Irving, June 2007.
  • 1) Q. R. Razlighi and N. Kehtarnavaz, “Image blur reduction for cell-phone cameras via adaptive tonal correction”, Proceedings of IEEE ICIP Conference, San Antonio, Oct 2007.


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