Romy Lorenz

Cognitive Neuroscience – Neuroadaptive Technology – Art x Neuroscience

Papers

Journal Papers
  1. Lorenz R, Violante IR, Monti RP, Montana G, Hampshire A, Leech R (2018). Dissociating frontoparietal networks using neuroadaptive Bayesian optimizationNature Communications, 9(1): 122
  2. Cole JH, Lorenz R, Geranmayeh F, Wood T, Hellyer P, Williams S, Turkheimer F (2018). Active Acquisition for multimodal neuroimaging [version 1; referees: 1 approved, 1 approved with reservations]. Wellcome Open Research, 3:145
  3. Lancaster J, Lorenz R, Leech R & Cole JH (2018). Bayesian Optimization for Neuroimaging Pre-processing in Brain Age Classification and Prediction, Frontiers in Aging Neuroscience, 10:28.
  4. Haijen E, Kaelen M, Roseman L, Timmermann C, Russ S, Nutt D, Daws RE, Hampshire A, Lorenz R & Carhart-Harris R (2018). Predicting responses to psychedelics: a prospective study. Frontiers in Pharmacology, doi:10.3389/fphar.2018.00897
  5. Lorenz R, Hampshire A, Leech R (2017). Neuroadaptive Bayesian optimization and hypothesis testingTrends in Cognitive Sciences, 21(3): 155-167
  6. Monti RP, Lorenz R, Braga RM, Anagnostopoulos C, Leech R, Montana G (2017). Real-time estimation of dynamic functional connectivity networksHuman Brain Mapping, 38:202-220
  7. Monti RP, Lorenz R, Hellyer P, Leech R, Anagnostopoulos C, Montana G (2017). Decoding time-varying functional connectivity networks via linear graph embedding methodsFrontiers in Computational Neuroscience, 11:14
  8. Violante IR, Li LM, Carmichael DW, Lorenz R, Leech R, Hampshire A, Rothwell JC, Sharp, DJ (2017). Externally induced frontoparietal synchronization modulates network dynamics and enhances working memory performanceElife, 6:e22001
  9. Lorenz R, Monti RP, Violante IR, Anagnostopoulos C, Faisal AA, Montana G, Leech R (2016). The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRINeuroImage 129: 320-334
  10. Dinov M, Lorenz R, Scott G, Fagerholm E, Sharp DJ, Leech R (2016). Novel modeling of task versus rest brain state predictability using dynamic time warping: comparisons and contrasts with DFT, EEG avalanches, EEG microstates and BOLD dynamics, Frontiers in Computational Neuroscience, 10:46
  11. Zander TO, Shetty K, Lorenz R, Leff DR, Krol LR, Darzi AW, Gramann K, Yang G-Z (2016). Automated Task Load Detection with Electroencephalography: Towards Passive Brain-Computer Interfacing in Robotic Surgery, Journal of Medical Robotics Research, 2(1):1750003
  12. Kaelen M, Roseman L, Kahan J, Ribeiros AS, Orban C, Lorenz R et al. (2016). LSD enhances music-induced imagery via changes in parahippocampal connectivity, European Neuropsychopharmacology, 26(7):1099-109
  13. Fagerholm E, Lorenz R, Scott G, Dinov M, Hellyer P, Mirzaei N, Lesson C, Carmichael D, Sharp D, Shew W, Leech R (2015). Cascades and cognitive state: focused attention incurs subcritical brain dynamicsJournal of Neuroscience, 35(11): 4626-4634
  14. Kaelen M, Barrett FS, Roseman L, Lorenz R, Family N, Bolstridge M, Curran HV, Feilding A, Nutt DJ, Carhart-Harris RL (2015). LSD enhances the emotional response to musicPsychopharmacology, 232(19): 3607-3614
  15. Lorenz R, Pascual J, Blankertz B, Vidaurre C (2014). Towards a holistic assessment of the user experience with hybrid BCIsJournal of Neural Engineering, 11(3): 035007
  16. Vidaurre C, Pascual J, Ramos-Murguialday A, Lorenz R, Blankertz B, Birbaumer N, Mueller K-R (2013). Neuromuscular electrical stimulation induced brain patterns to decode motor imageryClinical Neurophysiology, 124(9): 1824-1834

Conference Papers
  1. Lorenz R*, Monti RP*, Hampshire A, Koush Y, Anagnostopoulos C, Faisal A, Sharp D, Montana G, Leech R, Violante IR (2016). Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization, 6th International Workshop on Pattern Recognition in Neuroimaging (PRNI).
  2. Monti RP, Lorenz R, Leech R, Anagnostopoulos C, Montana G (2016). Text-mining the NeuroSynth corpus using Deep Boltzmann Machines, 6th International Workshop on Pattern Recognition in Neuroimaging (PRNI).
  3. Lorenz R*, Monti RP*, Violante IR, Faisal A, Anagnostopoulos C, Leech R, Montana G (2015). Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging: Beyond the Scanner.
  4. Monti RP, Lorenz R, Hellyer P, Leech R, Anagnostopoulos C, Montana G (2015). Graph Embeddings of Dynamic Functional Connectivity Reveal Discriminative Patterns of Task Engagement in HCP Data5th International Workshop on Pattern Recognition in Neuroimaging (PRNI).
  5. Pascual J, Lorenz R, Blankertz B, Vidaurre C (2013). Hybrid EEG-Based BCI User Interface for Action Selection. In Pons JL, Torricelli D, Pajaro M (eds.) Converging Clinical & Engineering Research on Neurorehabilitation, BIOSYSROB 1 (pp. 1171-1176). Springer: Berlin, Heidelberg.

Journal Papers – in progress

Lorenz R, Simmons L, Monti RP, Arthur J, Limal S, Leech R, Violante IR. Assessing tACS-induced phosphene perception using adaptive Bayesian optimization. Under revision, preprint available on bioRxiv.

Lorenz R*, Kaelen M*, Barrett F, Roseman L, Santos-Ribeiro A, Evans L, Feildling A, Nutt D, Carhart-Harris R, Leech. Effects of LSD on music-evoked brain activity. Under revision, preprint available on bioRxiv.

Lorenz R, Monti RP, Koush Y, Sharp D, Montana G, Hampshire A, Leech R, Violante IR. Towards tailoring non-invasive stimulation using neuroadaptive Bayesian optimization. In preparation.