Large-scale neurocognitive networks, functional connectivity, cognitive control
Distant brain regions are in constant communication with each other. This communication, also called functional connectivity, is foundational to all cognition. Functional connectivity is spatially organized into many large brain networks. But how this network organization is maintained and modulated in the service of flexible cognition is poorly understood. Sepideh Sadaghiani’s lab is studying connectivity and cognitive functions of large-scale brain networks. Her lab is most interested in networks involved in cognitive control functions such as alertness and attention (cognitive control networks).
One research line of the lab seeks to delineate the function of different cognitive control networks. This research investigates how cognitive control networks modulate processes in “lower-order” brain areas such as perception in sensory cortices.
Another research line focuses on the functional role of intrinsic (spontaneous) network activity. Neural activity and communication across brain networks are continuously ongoing independent of external stimuli or tasks. Sadaghiani’s research aims at understanding why this intrinsic activity and functional connectivity exists and how it affects behavior.
Sepideh Sadaghiani’s lab combines various techniques to address these questions in the human brain including functional magnetic resonance imaging (fMRI), electroencephalography (EEG), simultaneous EEG-fMRI and genetic analyses in healthy participants and neurological patients.
Neural and Behavioral Sciences, Ph.D., International Max Planck Research School of Neural and Behavioural Sciences
Postdoc - Stanford University 2015
Postdoc - University of California at Berkeley 2010-2014
Ph.D - Max-Planck International Research School, Germany & NeuroSpin, France 2007-2010
Additional Campus Affiliations
Associate Professor, Bioengineering
Associate Professor, Beckman Institute for Advanced Science and Technology
Jun, S., Alderson, T. H., Altmann, A., & Sadaghiani, S. (2022). Dynamic trajectories of connectome state transitions are heritable. NeuroImage, 256, . https://doi.org/10.1016/j.neuroimage.2022.119274
Sadaghiani, S., Brookes, M. J., & Baillet, S. (2022). Connectomics of human electrophysiology. NeuroImage, 247, . https://doi.org/10.1016/j.neuroimage.2021.118788
Egan, M. K., Larsen, R., Wirsich, J., Sutton, B. P., & Sadaghiani, S. (2021). Safety and data quality of EEG recorded simultaneously with multi-band fMRI. PloS one, 16(7 July), [e0238485]. https://doi.org/10.1371/journal.pone.0238485
Mostame, P., & Sadaghiani, S. (2021). Oscillation-Based Connectivity Architecture Is Dominated by an Intrinsic Spatial Organization, Not Cognitive State or Frequency. The Journal of neuroscience : the official journal of the Society for Neuroscience, 41(1), 179-192. https://doi.org/10.1523/JNEUROSCI.2155-20.2020
Wirsich, J., Jorge, J., Iannotti, G. R., Shamshiri, E. A., Grouiller, F., Abreu, R., Lazeyras, F., Giraud, A. L., Gruetter, R., Sadaghiani, S., & Vulliémoz, S. (2021). The relationship between EEG and fMRI connectomes is reproducible across simultaneous EEG-fMRI studies from 1.5T to 7T. NeuroImage, 231, . https://doi.org/10.1016/j.neuroimage.2021.117864