Curriculum Vitae
Shruti Gopal Vij
Postdoctoral Research Fellow
Autism Center of Excellence | University of California San Diego, Department of Neuroscience
Email: shrutigvij@gmail.com | Phone: (585)-754-1896
SUMMARY OF RESEARCH AND TEACHING INTERESTS
Topics: Inter-subject variability analysis to explain spatial and temporal differences associated with features such as age, gender and neuropsychiatric disorders such as ASD, Schizophrenia, etc. in functional activation features of resting fMRI images. Reproducibility of inter-subject variability using different parcellation approaches.
Methods: Multivariate analysis, data fusion, functional connectivity, dynamic functional connectivity, clustering, inter-subject correlations.
ACADEMIC AND RESEARCH EXPERIENCE
Educational Degrees
2011- 2016 Rochester Institute of Technology, Rochester, NY
Ph.D., Imaging Science; Medical Imaging Concentration
Thesis advisors: Dr. Vince D. Calhoun, Dr. Stefi A. Baum
Dissertation: Intrinsic inter – subject variability in functional neuroimaging: verification using blind source separation applications.
Funded by NIH/NIBIB: 1R01EB006841 (Grant PI: Dr. Vince D. Calhoun, The Mind Research Network)
2004-2008 Manipal Institute of Technology, Manipal, Karnataka, India
B.E., Biomedical Engineering; GPA 8.56/10
Dissertation: Prototype implementation of electronic circuit design and programming for hemoglobin analyzer.
Dissertation sponsor: Hospitex Diagnostics Ltd.
Research & professional experience
2018 - Present University of California San Diego
Postdoctoral Research Fellow
Autism Center of Excellence, Neuroscience Department
Postdoctoral Advisor: Dr. Eric Courchesne
Research Topics: Infant functional imaging, Early diagnosis and detection of Autism, multivariate analyses of infant brain imaging data, sub-grouping and identification of autism sub-classes using multivariate analyses of infant brain imaging data.
Funded by NIH/NIBIB: 1R01DC016385-01 (Grant PI: Dr. Eric Courchesne, University of California, San Diego)
2016 - 2018 University of Miami
Postdoctoral Research Fellow
Brain Cognition and Behavior Laboratory
Postdoctoral Advisor: Dr. Lucina Q. Uddin
Research Topics: Lifespan related spatial and temporal variability, spatial variability in Autism, inter-subject variability, resting fMRI, multivariate analysis, time-frequency coherence in functional imaging.
Funded by NIH/NIBIB: 1R01MH107549-01 (Grant PI: Dr. Lucina Uddin, University of Miami)
2012 – 2016 Rochester Institute of Technology
Graduate Research Assistant
The MIND Research Network
Advisors: Dr. Vince D. Calhoun & Stefi A. Baum
Research Topics: Inter – subject variability, resting fMRI, schizophrenia, multivariate analysis, methamphetamine abuse, data fusion, dynamic functional connectivity, temporal variability, spectral features, ICA/IVA/JICA, Late-life depression.
Funded by NIH/NIBIB: 1R01EB006841 (Grant PI: Dr. Vince Calhoun, Mind Research Network)
2012 – 2012 Harvard Smithsonian Center for Astrophysics
Graduate Research Assistant
Laboratory for Visual Learning
Research Topics: eye-tracking, cognitive load analysis, mathematical problem solving, signal processing.
2009 – 2011 Defense Research and Development Organization, India
Volunteer Research Assistant
Institute of Nuclear Medicine and Allied Sciences (INMAS)
Research Topics: Cognitive Enhancement, video game based cognitive training, ECG, signal processing.
2009– 2009 Shruti International
VP – Marketing & Operations
Responsibilities: product trainings, participating in seminars and presentations, performance appraisal and financial review, inventory management.
2008 – 2009 L&T Emsys (Now L&T IES)
Quality Assurance Analyst for medical products
Responsibilities: Tested software products for industry quality adherence, satisfaction of software standards and assisted team leads in project management.
PUBLICATIONS AND PRESENTATIONS
Peer Reviewed Articles
· Bolt, T., Nomi, J.S., Vij, S.G, Chang, C., Uddin, L.Q., (2018). Discovery of hidden task-driven activity with inter-subject phase synchronization. In Press. Neuroimage. https://doi.org/10.1016/j.neuroimage.2018.04.015
· Vij, S.G., Nomi, J.S., Dajani, D.R., Uddin, L.Q., (2018). Evolution of spatial and temporal features of functional brain networks across the lifespan. In press. Neuroimage. https://doi.org/10.1016/j.neuroimage.2018.02.066
· Thijssen, S., Rashid, B., Gopal, S., Nyalakanti, P., Calhoun, V. D., & Kiehl, K. A. (2016). Regular cannabis and alcohol use is associated with resting-state time course power spectra in incarcerated adolescents. Drug and Alcohol Dependence. Volume 187, Pages 492-500, DOI: http://dx.doi.org/10.10.16/j
· Nomi, J., Gopal Vij, S., et al., (2017). Chronnectomic Patterns and Neural Flexibility Underlie Executive Function. NeuroImage. Volume 147, Pages 861-871, ISSN 1053-8119, https://doi.org/10.1016/j.neuroimage.2016.10.026.
· Gopal Vij, S., “Intrinsic Inter-Subject Variability in Functional Neuroimaging: Verification Using Blind Source Separation Features” (2016). Thesis. Rochester Institute of Technology.
· Gopal, S., et al., (2016). Approaches to Capture Variance Differences in Rest fMRI Networks in the Spatial Geometric Features: Application to Schizophrenia. Frontiers in Neuroscience section Brain Imaging Methods 2016, doi: 10.3389/fnins.2016.00085
· Gopal S et al., Spatial Variance in Resting fMRI Networks of Schizophrenia Patients: An Independent Vector Analysis. Schizophrenia Bulletin 2015; doi: 10.1093/schbul/sbv085
· S. Gopal, R. Miller, A. Michael, T. Adali, S. A. Baum and V. D. Calhoun, “A study of spatial variation in fMRI brain networks via independent vector analysis: Application to schizophrenia,” Pattern Recognition in Neuroimaging, 2014 International Workshop on, Tubingen, 2014, pp. 1-4. Doi: 10.1109/PRNI.2014.6858520
· R. L. Miller, M. Yaesoubi, V. D. Calhoun and S. Gopal, “Higher dimensional fMRI connectivity dynamics show reduced dynamism in schizophrenia patients,” Pattern Recognition in Neuroimaging, 2014 International Workshop on, Tubingen, 2014, pp. 1-4. Doi: 10.1109/PRNI.2014.6858534
· Abbott, C., Lemke, NT., Gopal, S., Bustillo, J., Thoma, RJ., Calhoun, VD., Turner, JA., et al. (2013). “Electroconvulsive therapy response in major depressive disorder: a pilot functional network connectivity resting state fMRI investigation.” Frontiers in Neuropsychiatric Imaging and Stimulation Volume 4.
Preprints
· Gopal Vij, S., et al., (2017). Age-related changes in spatial and temporal features of resting fMRI. bioRxiv doi: https://doi.org/10.1101/109181
· Bolt, T., Nomi, J.S., Vij, S.G, Chang, C., Uddin, L.Q., (2017). Discovery of hidden task-driven activity with inter-subject phase synchronization. bioRxiv doi: http://dx.doi.org/10.1101/167072
Manuscripts Submitted, Under Review or Under Preperation
· Vij, S.G., Uddin, L.Q., (2017). Brain connectivity dynamics exhibits a midlife shift. In Prep.
· Voorhies,W., Dajani,D.R., Vij,S.G. & Uddin,L.Q. Aberrant functional connectivity of inhibitory control networks in children with autism spectrum disorder. Under Revision. Autism Research.
· Vij, S.G., et. al., (2017). Inter-individual variability in intrinsic connectivity networks: Implications and directions for autism. In Revision for Autism Research.
· Vij, S.G., Harenski, C., Fede, S., Baum, S.A., Kiehl, K., Calhoun, V.D., (2018). Moral judgement impairment associated functional and structural deficits in default mode network differences between methamphetamine and comorbid cocaine use in male prison inmates. In Prep.
· Vij, S.G., de Lacy, N., Baum, S.A., Uddin, L.Q., Calhoun, V.D., (2018). Resting-state topological features differentiate autism spectrum disorder from typical development. In Prep.
· Denkova, E., Nomi, J.S., Vij, S.G., Uddin, L.Q., & Jha, A.P. Changes in dynamic functional connections between rest and a mind-wandering task: an fMRI study. In Prep.
Conference Presentations and Posters
* Undergraduate/ High school Mentee
· Turel, T.O.*, Shankar, S.*, Nomi, J.S., Voorhies,W., Huberman, M.*, Vij, S.G., Uddin, L.Q. (2018) Atypical Salience Network Connectivity in Children with Autism Underlies Deficits in Social Processing. Undergraduate Research, Creativity, Innovation Forum, University of Miami.
· Shankar, S.*, Turel, T.O.*, Nomi, J.S., Voorhies,W., Huberman, M.*, Vij, S.G., Uddin, L.Q. (2018) Resting state functional connectivity links to visuospatial attention deficits in Autism Spectrum Disorder. Undergraduate Research, Creativity, Innovation Forum, University of Miami.
· Adavikolanu, R.*, Uddin, L.Q., Vij, S.G., Introduction to Biomedical Engineering. University of Miami.
· Gopal Vij, S., et. al. (2017). Lifespan changes in spatial and temporal features of functional brain networks. Poster presented at 23rd Annual Meeting of the Organization for Human Brain Mapping; June 25-29, Vancouver, Canada.
· Gopal Vij, S., et. al. (2017). Resting-state topological features differentiate autism spectrum disorder from typical development. Poster presented at 23rd Annual Meeting of the Organization for Human Brain Mapping; June 25-29, Vancouver, Canada.
· Gopal Vij, S., et. al. (2017). Interaction of salience and default mode networks during moral decision making help differentiate methamphetamine users from non-users. Poster presented at 23rd Annual Meeting of the Organization for Human Brain Mapping; June 25-29, Vancouver, Canada.
· Bolt, T., Nomi, J.S., Vij, S.G, Chang, C., Uddin, L.Q.. Discovery of hidden task-driven activity with inter-subject phase synchronization. 23rd Annual Meeting of the Organization for Human Brain Mapping; June 25-29, Vancouver, Canada.
· Voorhies,W., Dajani,D.R., Vij,S.G., & Uddin,L.Q. Aberrant functional connectivity of inhibitory control networks in children with autism spectrum disorder. 23rd Annual Meeting of the Organization for Human Brain Mapping; June 25-29, Vancouver, Canada.
· Ivanova,A.*, Fedorenko,E., Blank,I, Vij,S.G., and Uddin,L.Q. (2017). Functional Organization of Language-Sensitive Brain Regions during Naturalistic Story Comprehension. Undergraduate Research, Creativity, Innovation Forum, University of Miami.
· Gopal, S., et. al., (2016). Inter-subject variability in dynamic functional connectivity states tracks with occupancy of states. Poster presented at 22nd Annual Meeting of the Organization for Human Brain Mapping; June 26-30, Geneva, Switzerland. Recipient of competitive educational stipend/travel award. Poster Presentation.
· Gopal, S., et al., Spatial variance driven language area differences between healthy controls and schizophrenia patients. Poster presented at the 21st Annual Meeting of the Organisation for Human Brain Mapping; 14-18 June 2015, Honolulu, USA. Poster Presentation
· Gopal, S., et al., (2014). Inter subject variability capture in IVA helps to detect spatial map differences in Schizophrenia. Poster presented at the 20th Annual Meeting of the Organisation for Human Brain Mapping; 8-12 June 2014, Hamburg, Germany. Poster Presentation.
· R. L. Miller, M. Yaesoubi, V. D. Calhoun and S. Gopal, "Higher dimensional fMRI connectivity dynamics show reduced dynamism in schizophrenia patients," Paper presented at the 4th International Workshop on Pattern Recognition in Neuroimaging (PRNI); 4-6 June 2014, Tuebingen, Germany. Poster Presentation.
· Gopal, S., et al., (2014). IVA to detect spatial map differences between Schizophrenia patients and Healthy Controls. E-poster presented at the 22nd annual meeting of Internation Society for Magnetic Resonance in Medicine (ISMRM); 10 – 16 May 2014, Milano, Italy. Recipient of competitive educational stipend/travel award. Poster Presentation.
· Gopal, S., et al. (2013). Fusion of DTI and fMRI with Joint ICA differentiates remitters versus non-remitters for ECT. 19th annual meeting of the Organization for Human Brain Mapping; 16 – 20 June 2013, Seattle, USA. Poster Presentation.
· Abbott, C., Lemke, NT., Gopal, S., Bustillo, J., Thoma, RJ., Calhoun, VD., Turner, JA., (2013). Electroconvulsive therapy response and resting state functional connectivity in older patients with major depressive disorder. Poster presented at the American College of Neuropsychopharmacology; Hollywood, FL.
· Chandra, S., Gopal, S., Jain, R.*, Mittal, M.*, (2013). Action Video Games: Effect on Heart Rate Variability. Poster presented at the UGC Sponsored National Conference on Bioelectronics and Biomedical Technology; 29 – 30 January 2013, New Delhi, India.
· Abbott, C., Gopal, S., Bustillo, J., Thoma, RJ., Calhoun, VD., Turner, JA., (2012). Electroconvulsive therapy response in major depressive disorder: a pilot functional network connectivity resting state fMRI investigation. Poster presented at the American College of Neuropsychopharmacology; Hollywood, FL.
Talks
· Vij, S.G. (2018). Inter-subject variability analysis in resting state functional imaging. Autism Center, University of California, San Diego.
· Vij, S.G. (2017). Introduction to Machine Learning and Python. University of Miami.
· Vij, S.G. (2017). COBIDAS – Open Science practices – How to integrate into MR Imgaing research. University of Miami.
· Vij, S.G. (2017). Inter-subject variability in resting fmri: Influence of demographics. BrainHack Global, Miami.
· Vij, S.G. (2016). Evaluation of age-related changes in resting state spatial and temporal features. Wig Lab, Center for Vital Longetivity, University of Texas, Dallas.
· Vij, S.G. (2016). Intrinsic inter-subject variability in functional neuroimaging: verification using blind source separation features. IBM’s T J Watson Research Center.
· Gopal, S. (2015). Inter-subject variability in neuroimaging applications. Laureate Institue of Brain Research, Tulsa.
· Gopal, S. (2015). Mind and Matter: Studying the Brain. The Mind Research Network, Albuquerque.
· Gopal, S., et al., (2014). A study of spatial variation in fMRI brain networks via independent vector analysis: Application to schizophrenia. Paper presented at the 4th International Workshop on Pattern Recognition in Neuroimaging (PRNI); 4-6 June 2014, Tuebingen, Germany. Oral Presentation.
Ad-Hoc Reviewer
Cerebral Cortex, Neuroimage, Molecular Autism, Brain structure and Function, Human Brain Mapping, Neuroimage Clinical, Brain Imaging and Behavior, Social Cognitive and Affective Neuroscience, Frontiers in Neuroscience, Neuroscience, Cognitive Affective and Behavioral Neuroscience, Neuroinformatics, PlosOne, International Journal of Psychology, Journal of Neuroscience Methods, Behavioral and Brain Functions, Brain Connectivity, Network Neuroscience, FOCUS, Nature Communications.
TEACHING & MENTORING EXPERIENCE
2018 Mentoring Research Assistant project
Relationship between social symptoms and attention deficits in autism - (Neuroscience Major)
2018 Mentoring Research Assistant project
Role of salience network in social symptom deficits in autism - (Neuroscience Major)
2017 Mentoring Research Assistant project
Machine learning/classification applied to neuroimaging applications
2017 Mentoring Research Assistant project
Under pressure: The impact of stressful life events on fronto-amygdala connectivity in early adolescence (Psychology Graduate student)
2017 Mentoring High school summer intern
Introduction to Biomedical Engineering
2017 Organized and Conducted the Mentorship Symposium at OHBM’s Annual Conference
2017 Mentoring two graduate students as part of OHBM Mentorship Forum
2016 – 2017 Judge, Undergraduate Research, Creativity, Innovation Forum (RCIF)
University of Miami.
2016 - 2017 Mentoring Undergraduate and RA project (Biomedical Engineering & Neuroscience)
Pre-processing of functional MRI datasets: Application to developmental Neuroimaging -
2016 Mentoring RA’s research project
Functional connectivity changes in ASD driven by changes in inbitory control
2016 Mentoring Undergraduate Honor’s thesis project (Neuroscience)
Clustering approaches to sub-divide language areas during a story listening task - (Neuroscience Major)
2015 – 2015 Graduate Teaching Assistant
Dr. Vince Calhoun’s course ECE511 001 (CRN 43078) Analysis Methods in Functional Magnetic Resonance Imaging. Mentored graduate students in term projects.
2011 – 2012 Graduate Teaching Assistant
Assisted teachers in implementing a distribution system for video recording of lectures.
Guest lectures
· Spring 2018. Neuroanatomy. Psych 474-32, University of Miami, Florida.
· Spring 2018. Neuroscience Methods. Psych 474-32, Unviersity of Miami, Florida.
· Fall 2018. Functional Neuroimaging 101. Psych 4800/6650, Georgia State University, Atlanta.
· Spring 2017. Modeling brain connectivity: Functional and effective, network analysis and graph theory. Psych697, University of Miami, Miami.
· Fall 2015. Introduction to Independent Component Analysis. ECE511, University of New Mexico, Albuquerque.
PROFESSIONAL MEMBERSHIPS
· International Society for Autism Research, Post-doc Member.
· Organization for Human Brain Mapping, Member, Communications Committee, Blog Team.
· Organization for Human Brain Mapping, Communications Liaison, Student and Postdoc Special Interest Group.
· FLUX Society, Post-doc Member.
· Cognitive Neuroscience Society, Post-doc Member.
· International Society for Magnetic Resonance Imaging, Tainee Member.
· Society for Neuroscience, Trainee Member.
· Diversity and Equity Committee, Department of Psychology, University of Miami.
TRAININGS AND CERTIFICATION COURSES
· Neurohackweek September 2017.
· UCLA Neuroimaging Training Program August 2015.
· fMRI Image Acquisition and Analyses course July 2012.
SKILLS
Resting fMRI Analysis Multivariate Analyses – blind source separation ICA/IVA, ME-ICA
Data fusion Machine Learning - multivariate linear and non-linear regression
Image Segmentation Pattern Recognition & Classification
Cognitive Evaluation MATLAB, Python
Signal Processing Supervised and unsupervised calssification