Search results

Journal Article (13)

  1. 1.
    Journal Article
    Stelzer, J.; Lacosse, E.; Bause, J.; Scheffler, K.; Lohmann, G.: Brainglance: visualizing group level MRI data at one glance. Frontiers in Neuroscience 13 (2019)
  2. 2.
    Journal Article
    Scheffler, K.; Heule, R.; Baez-Yanez, M.; Kardatzki, B.; Lohmann, G.: The BOLD sensitivity of rapid steady-state sequences. Magnetic Resonance in Medicine 81 (4), pp. 2526 - 2535 (2019)
  3. 3.
    Journal Article
    Lohmann, G.; Loktyushin, A.; Stelzer, J.; Scheffler, K.: Eigenvector centrality mapping for ultrahigh resolution fMRI data of the human brain. (submitted)
  4. 4.
    Journal Article
    Lohmann, G.; Stelzer, J.; Lacosse, E.; Kumar, V.; Mueller, K.; Kuehn, E.; Grodd, W.; Scheffler, K.: LISA improves statistical analysis for fMRI. Nature Communications 9, 4014, pp. 1 - 9 (2018)
  5. 5.
    Journal Article
    Koelsch, S.; Skouras, S.; Lohmann, G.: The auditory cortex hosts network nodes influential for emotion processing: An fMRI study on music-evoked fear and joy. PLoS ONE 13 (1) (2018)
  6. 6.
    Journal Article
    Weber, M.; Stelzer, J.; Saucan, E.; Naitsat, A.; Lohmann, G.; Jost, J.: Curvature-based Methods for Brain Network Analysis. (submitted)
  7. 7.
    Journal Article
    Mueller, K.; Lepsien, J.; Möller, H.; Lohmann, G.: Commentary: Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates. Frontiers in Human Neuroscience 11 (2017)
  8. 8.
    Journal Article
    Lohmann, G.; Stelzer, J.; Mueller, K.; Lacosse, E.; Buschmann, T.; Kumar, V.; Grodd, W.; Scheffler, K.: Inflated False Negative Rates Undermine Reproducibility In Task-Based fMRI. (submitted)
  9. 9.
    Journal Article
    Fomina, T.; Lohmann, G.; Erb, M.; Ethofer, T.; Schölkopf, B.; Grosse-Wentrup, M.: Self-regulation of brain rhythms in the precuneus: a novel BCI paradigm for patients with ALS. Journal of Neural Engineering 13 (6), 066021, pp. 1 - 14 (2016)
  10. 10.
    Journal Article
    Lohmann, G.; Stelzer, J.; Zuber, V.; Buschmann, T.; Margulies, D.; Bartels, A.; Scheffler, K.: Task-Related Edge Density (TED): A New Method for Revealing Dynamic Network Formation in fMRI Data of the Human Brain. PLoS ONE 11 (6) (2016)
  11. 11.
    Journal Article
    Kuehn, E.; Mueller, K.; Lohmann, G.; Schuetz-Bosbach, S.: Interoceptive awareness changes the posterior insula functional connectivity profile. Brain Structure and Function 221 (3), pp. 1555 - 1571 (2016)
  12. 12.
    Journal Article
    Schaefer, A.; Margulies, D.; Lohmann, G.; Gorgolewski, K.; Smallwood, J.; Kiebel, S.; Villringer, A.: Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI. Frontiers in Human Neuroscience 8 (2014)
  13. 13.
    Journal Article
    Stelzer, J.; Buschmann, T.; Lohmann, G.; Margulies, D.; Trampel, R.; Turner, R.: Prioritizing spatial accuracy in high-resolution fMRI data using multivariate feature weight mapping. Frontiers in Neuroscience 8 (2014)

Conference Paper (1)

  1. 14.
    Conference Paper
    Lohmann, G.; Stelzer, J.; Zuber, V.; Buschmann, T.; Erb, M.; Scheffler, K.: Correlation bundle statistics in fMRI data. In: 4th International Workshop on Pattern Recognition in Neuroimaging (PRNI 2014), pp. 1 - 4. 4th International Workshop on Pattern Recognition in Neuroimaging (PRNI 2014), Tübingen, Germany. IEEE, Piscataway, NJ, USA (2014)

Meeting Abstract (3)

  1. 15.
    Meeting Abstract
    Lacosse, E.; Lohmann, G.; Himmelbach, M.; Scheffler, K.; Martius, G.: Task fMRI Prediction from Task Free Resting State Measurements. In 11th International Conference on Brain Informatics (BI 2018), B262. 11th International Conference on Brain Informatics (BI 2018), Arlington, TX, USA, December 07, 2018 - December 09, 2018. (2018)
  2. 16.
    Meeting Abstract
    Stelzer, J.; Bause, J.; Ehses, P.; Bazin, P.-L.; Scheffler, K.; Lohmann, G.: Blind spots in functional magnetic resonance imaging. In 18th Conference of Junior Neuroscientists of Tübingen (NeNa 2017), p. 10 - 10. 18th Conference of Junior Neuroscientists of Tübingen (NeNa 2017), Schramberg, Germany. (2017)
  3. 17.
    Meeting Abstract
    Weber, M.; Saucan, E.; Stelzer, J.; Lohmann, G.; Jost, J.: Curvature-based Analysis of Connectivity Structure in Brain Networks. In Keystone Symposia on Molecular and Cellular Biology: Connectomics (X2). Keystone Symposia on Molecular and Cellular Biology: Connectomics (X2), Santa Fe, NM, USA. (2017)

Talk (8)

  1. 18.
    Talk
    Lohmann, G.: Statistical inference for fMRI at 3T and beyond. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2019)
  2. 19.
    Talk
    Lohmann, G.: Method 3: Dynamic connectivity and task-rest interactions. ESMRMB Lectures on MR: Resting State fMRI, Tübingen, Germany (2019)
  3. 20.
    Talk
    Lohmann, G.: Analysing networks in the human brain using fMRI data. XIII Workshop of the International School on Magnetic Resonance and Brain Function, Erice, Italy (2018)
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