Brain Dynamics Laboratory

CENA

The Chicago Electrical Neuroimaging Analytics

 The Brain Dynamics Laboratory, in collaboration with the Center for Cognitive and Social Neuroscience and the Research Computing Center, has developed a revolutionary method to segment evoked brain dynamics: CENA

WHAT IS CENA?

  • The Chicago Electrical Neuroimaging Analytics (CENA) is a new dynamic spatiotemporal brain analysis suite of tools that allows the automatic detection of event-related changes in the global pattern and global field power of electrical brain activity. 
  • CENA differentiates transition states from stable evoked brain microstates.
  • CENA is an analytic toolbox for brain microstate analyses, running under Matlab environment as a freely available plugin in Brainstorm (Tadel et al., 2011).

Chicago Electrical Neuroimaging Analytics (CENA)

New dynamic spatiotemporal brain microsegmentation suite that differentiates transition states from stable brain microstates. For more details, Click HERE. 

CENA FAQs

HOW DO I OBTAIN CENA?

CENA is made freely available to non-profit researchers in electrical neuroimaging at degree-granting academic institutions.

If you would like access to CENA, you can download it from the Brainstorm link above or send us an email requesting access at braindynamics@uchicago.edu.

 

HOW DO I CITE CENA ?

Cacioppo, S., & Cacioppo, J. T. (2015). Dynamic spatiotemporal brain analyses using high-performance electrical neuroimaging, Part II: A step-by-step tutorial. Journal of Neuroscience Methods, 256, 184-197. doi: 10.1016/j.jneumeth.2015.09.004 PDF

Cacioppo, S., Weiss, R. M. Runesha, H. B., & Cacioppo, J. T. (2014). Dynamic Spatiotemporal Brain Analyses using High-Performance Electrical NeuroImaging: Theoretical Framework and Validation. Journal of Neuroscience Methods, 238, 11-34. doi: 10.1016/j.jneumeth.2014.09.009. PDF

OTHER SELECTED CENA-RELATED PUBLICATIONS

2017

Caioppo, S. Bolmont, M., & Monteleone, G. (2017). Spatio-temporal dynamics of the mirror neuron system during social intentions. Social Neuroscience. 

Cacioppo, S. (2017) High-performance electrophysiological microsegmentation and brain source localization. In J. T. Cacioppo, L. Tassinary, & G. Berntson (Eds.), Handbook of psychophysiology (4th ed.) Cambridge: Cambridge University Press.

2016

Cacioppo,, S., Weiss, RM, Cacioppo, JT. (2016). Dynamic spatiotemporal brain analyses of the visual checkerboard task: Similarities and differences between passive and active viewing conditions. Psychophysiology. 53 (10), 1496-1506

2015

Cacioppo, S., Bangee, M., Balogh, S., Cardenas-Iniguez, C., Qualter, P., & Cacioppo, J.T. (2015). Loneliness and implicit attention to social threat: A high performance electrical neuroimaging study. Cognitive Neuroscience, Aug 14, 1-22. PDF

Cacioppo, S., Balogh, S., & Cacioppo, J.T. (2015). Implicit attention to negative social, in contrast to nonsocial, words in the Stroop task differs between individuals high and low in loneliness: Evidence from event-related brain microstates. Cortex. pii. S0010-9452(15)00222-1. doi: 10.1016/j.cortex.2015.05.032. PDF

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