Prof. Dr. Markus Siegel

 

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Markus Siegel

Director, Dept. of Neural Dynamics and Magnetoencephalography
Hertie Institute for Clinical Brain Research Neuroscience &
MEG Center &
Centre for Integrative Neuroscience

University of Tübingen
Otfried-Müller-Str. 47
72076 Tübingen
Germany

+49 7071 29 85297
+49 7071 29 5706
markus.siegel@uni-tuebingen.de
www.markussiegel.net

     
Publications
  • Quinn KR, Sandhaeger F, Noury N, Žeželić E, Siegel M (2024) Abstract choice representations during stable choice-response associations. bioRxiv
  • Noury N, Marquetand J, Hartwig S, Middelmann T, Broser P, Siegel M (2024) Detecting single motor-unit activity in magnetomyography. bioRxiv
  • von Nicolai C, Siegel M (2024) Cortico-subcortical dynamics in primate working memory. bioRxiv
  • Giehl J, Siegel M (2024) Spectral waveform analysis dissociates human cortical alpha rhythms. bioRxiv
  • Greco A, Siegel M (2024) A spatiotemporal style transfer algorithm for dynamic visual stimulus generation. arXiv:2403.04940
  • Zhang XY, Lin H, Deng Z, Siegel M, Miller EK, Yan G (2024) Decoding region-level visual functions from invasive EEG data. bioRxiv
  • Greco A, Moser J, Preissl H, Siegel M (2024) Predictive learning shapes the representational geometry of the human brain. bioRxiv
  • Zhang XY, Bobadilla-Suarez S, Luo X, Lemonari M, Brincat SL, Siegel M, Miller EK, Love BC (2023) Adaptive stretching of representations across brain regions and deep learning model layers. bioRxiv
  • Greco A, Baek S, Middelmann T, Mehring C, Braun C, Marquetand J, Siegel M (2023) Discrimination of finger movements by magnetomyography with optically pumped magnetometers. Scientific Reports 13(1):22157
  • Sandhaeger F, Omejc N, Pape AA, Siegel M (2023) Abstract perceptual choice signals during action-linked decisions in the human brain. PLoS Biology 21(10):e3002324
  • Sandhaeger F, Siegel M (2023) Testing the generalization of neural representations. Neuroimage 278:120258
  • Voigtlaender VA, Sandhaeger F, Hawellek DJ, Hage SR, Siegel M (2023) Neural representations of the content and production of human vocalization. PNAS 123(23):e2219310120
  • Siems M, Siegel M (2022) Multistage classification identifies altered cortical phase- and amplitude-coupling in Multiple Sclerosis. Neuroimage 119752
  • Semeia L, Middelmann T, Baek S, Sometti D, Chen H, Grimm A, Lerche H, Martin P, Kronlage C, Braun C, Broser P, Siegel M, Breu MS, Marquetand J (2022) Optically pumped magnetometers detect altered maximal muscle activity in neuromuscular disease. Front Neurosci 16()
  • Radetz A, Siegel M (2022) Spectral Fingerprints of Cortical Neuromodulation. Journal of Neuroscience 42(18): 3836–3846
  • Marquetand J, Middelmann T, Dax J, Baek S, Sometti D, Grimm A, Lerche H, Martin P, Kronlage C, Siegel M, Braun C, Broser P (2021) Optically pumped magnetometers reveal fasciculations non-invasively. Clin Neurophysiol 132(10): 2681-2684
  • Ibarra Chaoul A, Siegel M (2021) Cortical correlation structure of aperiodic neuronal population activity. Neuroimage 245:118672
  • Pellegrini F, Hawellek DJ, Pape AA, Hipp JF, Siegel M (2021) Motion Coherence and Luminance Contrast Interact in Driving Visual Gamma-Band Activity. Cerebral Cortex 31: 1622–1631
  • Giehl J, Noury N, Siegel M (2021) Dissociating harmonic and non-harmonic phase-amplitude coupling in the human brain. Neuroimage 227:117648
  • Ito T, Brincat SL, Siegel M, Mill RD, He BJ, Miller EK, Rotstein HG, Cole MW (2020) Task-evoked activity quenches neural correlations and variability across cortical areas. PLoS Computational Biology Epub Aug 3
  • Siems M, Siegel M (2020) Dissociated neuronal phase- and amplitude-coupling patterns in the human brain. Neuroimage 209:116538
  • Pinotsis DA, Siegel M, Miller EK (2019) Sensory Processing and Categorization in Cortical and Deep Neural Networks. Neuroimage 202: 116118
  • 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
  • Supp GG, Higgen FL, Hipp JF, Engel AK, Siegel M (2018) Mid-latency auditory evoked potentials differentially predict sedation and drug level under opioid and hypnotic agents. Frontiers in Pharmacology 9(1):1427
  • Brincat SL*, Siegel M*, von Nicolai C, Miller EK (*co-first authors) (2018) Gradual progression from sensory to task-related processing in cerebral cortex. PNAS 115(30):E7202-E7211
  • 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
  • Noury N and Siegel M (2018) Analyzing EEG and MEG signals recorded during tES, a reply. Neuroimage 167: 53-61
  • Pape AA, Noury N and Siegel M (2017) Motor actions influence subsequent sensorimotor decisions. Scientific Reports 7(1):15913
  • Noury N and Siegel M (2017) Phase properties of transcranial electrical stimulation artifacts in electrophysiological recordings. Neuroimage 158: 406-416
  • Müsch K, Siegel M, Engel AK and Schneider TR (2017) Gamma-band activity reflects attentional guidance by facial expression. Neuroimage 146: 1142-1148
  • 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
  • Frey JN, Ruhnau P, Leske S, Siegel M, Braun C, Weisz N (2016) The Tactile Window to Consciousness is Characterized by Frequency-Specific Integration and Segregation of the Primary Somatosensory Cortex. Scientific Reports 6, 20805
  • Siems M, Pape AA, Hipp JF, Siegel M (2016) Measuring the cortical correlation structure of spontaneous oscillatory activity with EEG and MEG. Neuroimage 129: 345-355
  • Grosse-Wentrup M, Janzing D, Siegel M, Schölkopf B (2016) Identification of causal relations in neuroimaging data with latent confounders: An instrumental variable approach. Neuroimage 125: 825-833
  • Peiker I, Schneider TR, Milne E, Schöttle D, Vogeley K, Münchau A, Schunke O, Siegel M, Engel AK, David N (2015) Stronger neural modulation by visual motion intensity in autism spectrum disorders. PLoS ONE 10(7): e0132531
  • Siegel M, Buschman TJ and Miller EK (2015) Cortical Information Flow During Flexible Sensorimotor Decisions. Science 348(6241): 1352-55
    Research Highlight: Carr F (2015) Decision making: Flow charting. Nature Reviews Neuroscience 16(8): 444
  • Hipp JF and Siegel M (2015) BOLD fMRI Correlation Reflects Frequency-Specific Neuronal Correlation. Current Biology 25, 1368-1374
  • Hipp JF and Siegel M (2015) Accounting for Linear Transformations of EEG and MEG Data in Source Analysis. PLoS ONE 10(4): e0121048
  • von Nicolai C, Engler G, Sharott A, Engel AK, Moll CK and Siegel M (2014) Corticostriatal Coordination through Coherent Phase-Amplitude Coupling. Journal of Neuroscience 34: 5938-5948
  • David N, Schultz J, Milne E, Schunke O, Schöttle D, Münchau A, Siegel M, Vogeley K and Engel AK (2014) Right Temporoparietal Gray Matter Predicts Accuracy of Social Perception in the Autism Spectrum. Journal of Autism and Developmental Disorders 44:1433-46
  • Hawellek DJ, Schepers IM, Roeder B, Engel AK, Siegel M* and Hipp JF* (*shared senior authorship) (2013) Altered Intrinsic Neuronal Interactions in the Visual Cortex of the Blind. Journal of Neuroscience 33: 17072-17080
  • Hipp JF and Siegel M (2013) Dissociating neuronal gamma-band activity from cranial and ocular muscle activity in EEG. Frontiers in Human Neuroscience 7:1-11
  • 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
  • Supp GG, Siegel M, Hipp JF and Engel AK (2011) Cortical hypersynchrony predicts breakdown of sensory processing during loss of consciousness. Current Biology 21:1988-1993
  • Buschman TJ, Siegel M, Roy JE and Miller EK (2011) Neural substrates of cognitive capacity limitations. PNAS 108(27): 11252-11255

  • Donner TH and Siegel M (2011) A framework for local cortical oscillation patterns. Trends in Cognitive Sciences 15(5): 191-199
  • Siegel M, Engel AK and Donner TH (2011). Cortical Network Dynamics of Perceptual Decision-Making in the Human Brain. Frontiers in Human Neuroscience 5:21
  • Hipp JF, Engel AK and Siegel M (2011) Oscillatory Synchronization in Large-Scale Cortical Networks Predicts Perception. Neuron 69: 387-396
    Commentary: Singer W (2011) Dynamic Formation of Functional Networks by Synchronization. Neuron 69: 191-193
    Research Highlight: Welberg L (2011) Oscillations: Networking improves performance. Nature Reviews Neuroscience 12: 121
  • Siegel M and Donner TH (2010) Linking band-limited cortical activity to fMRI and behavior. In: M Ullsperger and S Debener (Edt.) Simultaneous EEG and fMRI: Recording, Analysis, and Application. Oxford University Press
  • Siegel M, Warden MR and Miller EK (2009) Phase-Dependent Neuronal Coding of Objects in Short-Term Memory. PNAS 106(50): 21341–21346
    Commentary: Vogel EK and Fukuda K(2009) In mind and out of phase. PNAS 106: 21017–21018
  • Donner TH, Siegel M, Fries P and Engel AK (2009) Build-up of choice-predictive activity in human motor cortex during perceptual decision-making. Current Biology 19:1581-1585
    Commentary: Gross J and Ploner M(2009) Perceptual Decisions: From Sensory Signals to Behavior. Current Biology 19: R847-R849
  • Siegel M, Donner TH, Oostenveld R, Fries P and Engel AK (2008) Neuronal Synchronization along the Dorsal Visual Pathway Reflects the Focus of Spatial Attention. Neuron 60: 709-719
  • Debener S, Ullsperger M, Siegel M and Engel AK (2007) Towards single-trial analysis in cognitive brain research. Trends in Cognitive Sciences 11(12): 502-503
    Response to: Bledowski C, Linden DE and Wibral M (2007) Combining electrophysiology and functional imaging – different methods for different questions. Trends in Cognitive Sciences 11(12): 500-502
  • Donner TH, Siegel M, R Oostenveld, P Fries and Engel AK (2007) Population Activity in the Human Dorsal Pathway Predicts the Accuracy of Visual Motion Detection. Journal of Neurophysiology: 98: 345-359
  • Schmidt GN, Scharein E, Siegel M, Müller J, Debener S, Nitzschke R, Engel AK and Bischoff P (2007) Identification of sensory blockade by somatosensory and pain induced evoked potentials. Anesthesiology 106(4):707-714
  • Siegel M, Donner TH, Oostenveld R, Fries P and Engel AK (2007) High-Frequency Activity in Human Visual Cortex Is Modulated by Visual Motion Strength. Cerebral Cortex 17:732--741
  • Debener S, Ullsperger M, Siegel M and Engel AK (2006) Single-trial EEG/fRMI reveals the dynamics of cognitive function. Trends in Cognitive Sciences 10(12): 558-563
  • Debener S, Ullsperger M, Siegel M, Fiehler K, von Cramon DY and Engel AK (2005) Trial-by-trial coupling of concurrent electroencephalogram and functional magnetic resonance imaging identifies the dynamics of performance monitoring. Journal of Neuroscience 25: 11730-7.
  • Siegel M and König P (2003) A functional Gamma-Band Defined by Stimulus-Dependent Synchronization in Area 18 of Awake Behaving Cats. Journal of Neuroscience 23: 4251-4260.
  • Siegel M, Körding KP, König P (2000) Integrating top-down and bottom-up sensory processing by somato-dendritic interactions. Journal of Computational Neuroscience 8:161-173.