To investigate large-scale neuronal interactions, we focus on the fine temporal structure of neuronal activity. Neuronal activity exhibits oscillations, i.e. periodicity, at various different frequencies and spatial scales. This structure may be key to understanding the neuronal mechanisms underlying large-scale interactions. Oscillations may serve as highly informative markers, or ‘spectral fingerprints’ of the circuit interactions involved in different cognitive functions.
In one line of research, we investigate these spectral fingerprints with MEG and EEG in the resting human brain, i.e. without a specific behavioral task. We investigate how networks of brain regions spontaneously coordinate their oscillations at different frequencies and how these large-scale oscillatory interactions are altered in the diseased human brain. Our recent results suggest that oscillatory resting-state interactions may indeed provide sensitive markers for brain pathologies.
In another line of research, we investigate large-scale neuronal interactions underlying specific cognitive functions. We focus on decision-making and memory as two fundamental cognitive processes that involve flexible interactions across distributed cortical and sub-cortical networks. We study these interactions with M/EEG in humans and with large-scale microelectrode recordings in animals.
Understanding neuronal interactions in the healthy brain is a prerequisite for unraveling how these interactions are disturbed in the diseased brain. We aim to translate our research into the clinical context to better identify, understand and treat neuropsychiatric disorders.
- Trainito C, von Nicolai C, Miller EK, Siegel M (2019) Extracellular spike waveform dissociates four functionally distinct cell classes in primate cortex. Current Biology 29
- Sandhaeger F, von Nicolai C, Miller EK, Siegel M (2019) Monkey EEG links neuronal color and motion information across species and scales. eLife 8:e45645
- Pesaran B, Vinck M, Einevoll GT, Sirota A, Fries P, Siegel M, Truccolo W, Schroeder CE and Srinivasan R (2018) Investigating large-scale brain dynamics using field potential recordings: analysis and interpretation. Nature Neuroscience (7):903-919
- Pape AA and Siegel M (2016) Motor cortex activity predicts response alternation during sensorimotor decisions. Nature Communications 7:13098
- Noury N, Hipp JF and Siegel M (2016) Physiological processes non-linearly affect electrophysiological recordings during transcranial electric stimulation. Neuroimage 140: 99-109
- Siegel M, Buschman TJ and Miller EK (2015) Cortical Information Flow During Flexible Sensorimotor Decisions. Science 348(6241): 1352-55
- Hipp JF and Siegel M (2015) BOLD fMRI Correlation Reflects Frequency-Specific Neuronal Correlation. Current Biology 25, 1368-1374
- Hipp JF, Hawellek DJ, Corbetta M, Siegel M and Engel AK (2012) Large-scale cortical correlation structure of spontaneous oscillatory activity. Nature Neuroscience 15:884-890
- Siegel M, Donner TH and Engel AK (2012) Spectral fingerprints of large-scale neuronal interactions. Nature Reviews Neuroscience 13:121-134
- Hipp JF, Engel AK and Siegel M (2011) Oscillatory Synchronization in Large-Scale Cortical Networks Predicts Perception. Neuron 69: 387-396
Neural Dynamics and Magnetoencephalography
Werner Reichardt Centre for Integrative Neuroscience
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