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My name is Xin Di (邸新 in Chinese). I studied electronic and information engineering in college, and started to do research in cognitive psychology and cognitive neuroscience in Department of Psychology, Sun Yat-Sen University, China. After got my PhD, I did postdoc research in Radiology Department, University of Medicine and Dentistry of New Jersey. I am now a Research Assistant Professor at the Department of Biomedical Engineering, New Jersey Institute of Technology. For more information, please see my CV. 

Working papers

  • Di X, Wolfer M, Kuhn SB, Zhang Z, Biswal BB (2019): Estimations of the weather effects on brain functions using functional MRI - a cautionary tale. bioRxiv 646695; doi: https://doi.org/10.1101/646695 
  • Di X, Wolfer M, Amend M, Wehrl H, Ionescu TM, Pichler BJ, Biswal BB, and Alzheimer's Disease Neuroimaging Initiative (2019). Interregional causal influences of brain metabolic activity reveal the spread of aging effects during normal aging. bioRxiv doi: https://doi.org/10.1101/490292 
  • Di X, Zhang Z, Biswal BB (2018). Psychophysiological interaction and beta series correlation for task modulated connectivity: modeling considerations and their relationships. bioRxiv doi: https://doi.org/10.1101/322073

Recently published papers

  • Di X, Biswal BB (2019). Toward Task Connectomics: Examining Whole-Brain Task Modulated Connectivity in Different Task Domains. Cereb Cortex 29(4):1572-1583. doi:10.1093/cercor/bhy055.

Most cited papers

  • Di X, Biswal BB, Alzheimer's Disease Neuroimaging Initiative, (2012). Metabolic Brain Covariant Networks as Revealed by FDG-PET with reference to resting-state fMRI networks. Brain Connect 2(5):275-83.
  • Di X, Gohel S, Kim EH and Biswal BB (2013). Task vs. Rest - Different Network Configurations between the Coactivation and the Resting-State Brain Networks. Front. Hum. Neurosci. 7:493. 

Current research support

NJDOH – NJ Autism Center of Excellence (CAUT16APL019), 2016 - 2018 
Multimodal neuroimaging study of sex differences in children with autism spectrum disorder 
Role: PI