Posters – Steven Haworth

Symposium and conference posters from ongoing and completed research. Click any poster to view full size.

Symposium Posters

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UW-Madison Symposium 2025

Conscious Experience Classification Using Topological EEG Features in Healthy Populations

Steven E. Haworth, et al.

Investigates electrophysiologic and network-level features distinguishing conscious experience from no conscious experience during NREM sleep using HD-EEG and machine learning classification. Presents spectral, connectivity, and graph-theoretic biomarkers screened across 699 awakenings in a serial-awakening paradigm.

HD-EEG Consciousness NREM Sleep Graph Theory ML Classification

References

[1] Tononi, G., Boly, M., & Cirelli, C. (2024). Consciousness and sleep. Neuron, 112(10), 1568–1594. doi.org/10.1016/j.neuron.2024.04.011

[2] Siclari, F., Baird, B., Perogamvros, L., Bernardi, G., LaRocque, J. J., Riedner, B., Boly, M., Postle, B. R., & Tononi, G. (2017). The neural correlates of dreaming. Nature Neuroscience, 20(6), 872–878. doi.org/10.1038/nn.4545

[3] Nir, Y., & Tononi, G. (2010). Dreaming and the brain: From phenomenology to neurophysiology. Trends in Cognitive Sciences, 14(2), 88–100. doi.org/10.1016/j.tics.2009.12.001

[4] Siclari, F., LaRocque, J. J., Postle, B. R., & Tononi, G. (2013). Assessing sleep consciousness within subjects using a serial awakening paradigm. Frontiers in Psychology, 4, 542. doi.org/10.3389/fpsyg.2013.00542

[5] Sporns, O. (2018). Graph theory methods: Applications in brain networks. Dialogues in Clinical Neuroscience, 20(2), 111–121. doi.org/10.31887/DCNS.2018.20.2/osporns

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