Arian Ashourvan

ACADEMIC PORTFOLIO

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I aim to develop a comprehensive mechanistic understanding of healthy and pathological brain functioning as well as new and better treatments. My research focuses on developing interpretable mathematical frameworks to provide mechanistic understanding of healthy and pathological brain functioning. By leveraging this principled approach I am able to characterize and predict brain dynamics to inform clinical decision-making, for instance, aiding physicians, neurosurgeons, and biomedical engineers in diagnosis and treatment of neurological disorders, or through the automization of decision-making in medical devices that could increase patients’ awareness, or responsive neurostimulation devices (RNS) that aim to mitigate seizures.

Towards this goal, I utilize a wide array of complex systems methods including graph theoretic, probabilistic, control-theoretical and dynamical systems modeling and design, and examine neuroimaging data such as functional magnetic resonance imaging (fMRI), electroencephalogram (EEG), and intracranial EEG (iEEG) in human and non-human species. I have experience with designing experiments as well as data acquisition, however the large amount of data that is becoming available in the era of Data Science has further enable me to develop analytical tools and will ultimately allow me to validate these approaches. I have a diverse academic training and research experience across multiple disciplines including biomedical engineering, vision science, neuroscience, complex systems, computational modeling, and epilepsy that has enabled me to pursue translational research. .

 

Selected Publications

 
  • Arian Ashourvan*, Richard Rosch*, Arjun Shankar, Jessica E. Herrmann, Brittany Scheid, Jacqueline Boccanfuso, Danielle Becker, Karl Friston, Brian Litt. "Long-term changes in synaptic dynamics shape response to neurostimulation in the epileptic brain". (In preparation)

  • Richard Rosch*, Arian Ashourvan*, Arjun Shankar, Jessica E. Herrmann, Brittany Scheid, Jacqueline Boccanfuso, Danielle Becker, Karl Friston, Brian Litt. "Slow oscillations of synaptic function in patients living with epilepsy." (In preparation)

  • Arian Ashourvan, Sérgio Pequito, Maxwell Bertolero, Jason Z. Kim, Danielle S. Bassett, and

    Brian Litt. "External drivers of BOLD signal’s non-stationarity.” (2021) Preprint at bioRxiv, Under review at PLoS ONE.

  • Arian Ashourvan, Preya Shah, Adam Pines, Shi Gu, Christopher W. Lynn, Danielle S. Bassett, Kathryn A. Davis, and Brian Litt. "Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states." (2021) Communications Biology

  • Sarthak Chatterjee, Orlando Romero, Arian Ashourvan, and Sérgio Pequito. "Fractional-Order Model Predictive Control as a Framework for Electrical Neurostimulation in Epilepsy." (2020)  Journal of Neural Engineering.

  • Driscoll, Nicolette, Richard E. Rosch, Brendan B. Murphy, Arian Ashourvan, Ramya Vishnubhotla, Olivia O. Dickens, AT Charlie Johnson et al. "Multimodal in vivo recording using transparent graphene microelectrodes illuminates spatiotemporal seizure dynamics at the microscale." (2020) Communications Biology.

  • Scheid, Brittany H., Arian Ashourvan, Jennifer Stiso, Kathryn A. Davis, Fadi Mikhail, Fabio Pasqualetti, Brian Litt, and Danielle S. Bassett. "Time-evolving controllability of effective connectivity networks during seizure progression." (2020) Proceedings of the National Academy of Sciences.

  • Arian Ashourvan, Sérgio Pequito, Maxwell Bertolero, Jason Z. Kim, Danielle S. Bassett, and Brian Litt. "A dynamical systems framework to uncover the drivers of large-scale cortical activity." Preprint: bioRxiv: 638718.

  • Eli J. Cornblath, Arian Ashourvan, Jason Z. Kim, Richard F. Betzel, Rastko Ciric, Azeez Adebimpe, Graham L. Baum et al. "Temporal sequences of brain activity at rest are constrained by white matter structure and modulated by cognitive demands." (2020)  Communications biology

  • Javier O. Garcia, Arian Ashourvan, Steven M. Thurman, Ramesh Srinivasan, Danielle S. Bassett, and Jean M. Vettel. "Reconfigurations within resonating communities of brain regions following TMS reveal different scales of processing." (2020) Network Neuroscience

  • Arian Ashourvan, Sergio Pequito, Ankit N. Khambhati, Steven N. Baldassano, Kathryn A. Davis, Timothy Lucas, Jean M. Vettel, Brian Litt, George J. Pappas, and Danielle S. Bassett. "Model-based design for seizure control by stimulation." (2020) Journal of Neural Engineering

  • Preya Shah, John M. Bernabei, Lohith Kini, Arian Ashourvan, Jacqueline Boccanfuso, Ryan Archer, Kelly Oechsel et al. "High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patients." (2019) NeuroImage: Clinical

  • Preya Shah, Arian Ashourvan, Fadi Mikhail, Adam Pines, Lohith Kini, Kelly Oechsel, Sandhitsu R. Das et al. "Characterizing the role of the structural connectome in seizure dynamics." (2019) Brain

  • Arian Ashourvan, Qawi K. Telesford, Timothy Verstynen, Jean M. Vettel, Danielle S. Bassett. "Multi-scale detection of hierarchical community architecture in structural and functional brain networks." (2019) PloS one

  • Javier O. Garcia, Arian Ashourvan, Sarah F. Muldoon, Jean M. Vettel, and Danielle S. Bassett. "Applications of community detection techniques to brain graphs: Algorithmic considerations and implications for neural function." (2018) Proceedings of the IEEE

  • Pequito, Sérgio, Arian Ashourvan, Danielle Bassett, Brian Litt, and George J. Pappas. "Spectral control of cortical activity." (2017) 2017 American Control Conference (ACC), pp. 2785-2791. IEEE.

  • Qawi Telesford, Arian Ashourvan, Nicholas Wymbs, Scott Grafton, Jean Vettel, Danielle Bassett. "Cohesive Network Reconfiguration Accompanies Extended Training." (2017) Human Brain Mapping

  • Arian Ashourvan, Shi Gu, Marcelo G. Matter, Jean M. Vettel, Danielle S. Bassett. "The energy landscape underpinning module dynamics in the human brain connectome." (2017) NeuroImage

(* equal contributions)

Research Experience

Teaching Experience

Instructor

Indiana University, Bloomington, IN

  • Cognitive Neuroscience, Fall 2014

  • Neural Basis of Sensory Function, Spring 2015

Teaching Assistant

Indiana University, Bloomington, IN

  • Introductory Neuroscience, Spring 2009

  • Introductory Neuroscience, Fall 2008

  • Introductory Psychology, Fall 2008

Education

Indiana University, Bloomington, IN

  • Ph.D. Neuroscience, Advisor: Aina Puce, 2007 – 2015

  • Ph.D. Vision Science, Advisor: Nicholas Port, 2009 – 2015

Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, 2007

  • B.S. Biomedical Engineering (Bioelectric)

 
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Contact

 

Room 526, Fraser Hall, 1415 Jayhawk Blvd, Lawrence, KS 66045

Phone: 812.391.3779

Email: Ashourvan@ku.edu

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