Publications

Selected publication

  • Zarei M, Xie D, Jiang F, Bagirov A, Huang B, Raj A, Nagarajan S, Guo S. High activity and high functional connectivity are mutually exclusive in resting state zebrafish and human brains. BMC Biol. 2022 Apr 11;20(1):84. doi: 10.1186/s12915-022-01286-3. PMID: 35410342; PMCID: PMC8996543.

  • Mahendra Wagle, Mahdi Zarei, Matthew Lovett-Barron, Kristina Poston, Jin Xu, Vince Ramey, Katherine Pollard, David Prober, Jay Schulkin, and Karl Deisseroth, Su Guo, "Brain-wide perception of the emotional valence of light is regulated by distinct hypothalamic neurons", Molecular Psychiatry, 2021MP001600R

  • Mahdi Zarei, “Precentral gyrus abnormal connectivity in male and female patients with schizophrenia”. Neuroimmunology and Neuroinflammation, 2018;5:13.

  • Dahlén, A., Zarei, M., Melgoza, A., Wagle, M., & Guo, S. (2021). THC-induced behavioral stereotypy in zebrafish as a model of psychosis-like behavior. Scientific reports, 11(1), 1-13.

  • Mahdi Zarei,“Spike discharge prediction based on neuro-fuzzy system”. Journal of Unexplored Medical Data, [S.l.], v. 2, n. 2, p. 88-101, nov. 2017. ISSN 2572-8180.

  • Mahdi Zarei, "Feature selection algorithm based on Catastrophe model to improve the performance of regression analysis." arXiv preprint arXiv 2017: 1704.06656.

  • Mahdi Zarei, “Functional connectivity impairment in schizophrenia: a resting-state fMRI data analysis”. https://doi.org/10.6084/m9.figshare.4970006.v2, 2017

  • Mahdi Zarei, Zari Dzalilov, AdilBagirov, “Voxel selection algorithm for fMRI data sets using hyper rectangles”. NeuroEng 2014, the 7th Australian Workshop on Computational Neuroscience Date: 2-3 February, 2014

  • Mahdi Zarei, Adil Bagirov, Zari Dzalilov, “Optimization challenges in resting state fMRI data analysis”. Recent Advances on Optimization, July 24-26, 2013

  • Mahdi Zarei, Karim Faez, and Javad Moosavi Nya. "Modified Reverse AODV routing algorithm using route stability in mobile ad hoc networks". Multitopic Conference, 2008. INMIC 2008. IEEE International. IEEE, 2008.

  • Mahdi Zarei, "Reverse AODV routing protocol extension using learning Automata in ad hoc networks". Computer, Control and Communication, 2009. IC4 2009. 2nd International Conference on. IEEE, 2009.

  • Mahdi Zarei, et al. "Route stability estimation in mobile ad hoc networks using learning automata". 16th telecommunications forum TELFOR. 2008.

  • Mahdi Zarei, et al. "A New on Demand Protocol Based on Recurrent Neural Networks in Mobile Ad Hoc Networks". 16th Telecommunications Forum TELFOR. 2008.

  • Dahlén, A., Wagle, M., Zarei, M., & Guo, S. (2019). Heritable natural variation of light/dark preference in an outbred zebrafish population. Journal of neurogenetics, 1-10.

  • Rezazadeh, H., Mahini, R., & Zarei, M. (2011). Solving a dynamic virtual cell formation problem by linear programming embedded particle swarm optimization algorithm. Applied Soft Computing, 11(3), 3160-3169.

Presentations

  1. Hypothalamic CRF neurons integrate visual stimuli to program a functional circuitry for avoidance behavior, The 16th International Zebrafish Conference (IZFC), 2021, Poster presentation

  2. Discovering the optimal threshold values of functional connectivity matrices in brain networks, Zebrafish Neural Circuits, and Behavior. Cold Spring Harbor Laboratory, NY, 2019, Poster presentation

  3. Efficiency of the resting-state Zebrafish brain network, 2nd Northern California Fish Research Symposium, UC Davis, 2017, Poster presentation

  4. Characteristic path length in the resting-state zebrafish brain, UCSF Neuroscience Retreat - UCSF Center for Integrative Neuroscience, 2016, Poster presentation

  5. Brain data analysis using Data Mining and statistical algorithms, BISC roundtable meeting, UC Berkeley, March 28, 2016, Oral presentation

  6. Functional connectivity differences between men and women in healthy brains and schizophrenia, CIAO, Federation University Australia, 2015, Oral presentation

  7. Analysis of functional magnetic resonance imaging data sets using data mining and optimization algorithms, CIAO, Federation University Australia, 2014, Oral presentation

  8. Optimization challenges in resting state fMRI data analysis, 3rd European Conference on Computational Optimization, Chemnitz, Germany, 2013, Oral presentation

  9. Analysis of fMRI data using machine learning algorithms, Annual Research Conference, Ballarat, Australia, 2012, Oral presentation

  10. Selecting informative Voxels of fMRI data sets using clustering and Neural Networks, Australian Mathematical Society 56th Annual Meeting, University of Ballarat, Australia, 2012, Oral presentation

  11. Optimization of AODV algorithm with prediction of nodes mobility,International conference COIA’08, Baku, Azerbaijan, 2008, Oral presentation