Romy Lorenz

Cognitive Neuroscience – Neuroadaptive Technology – Art x Neuroscience

Publications

Here you find an up-to-date list of my publications in peer-reviewed journals (principal in Neuroscience) and peer-reviewed conference proceedings (principal in Engineering/Computer Science) as well as a list of my talks.


Journal Papers

Lorenz R, Violante IR, Monti RP, Montana G, Hampshire A, Leech R (2018). Dissociating frontoparietal networks using neuroadaptive Bayesian optimizationNature Communications, 9(1): 1227

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.

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

Lorenz R, Hampshire A, Leech R (2017). Neuroadaptive Bayesian optimization and hypothesis testingTrends in Cognitive Sciences, 21(3): 155-167

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

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

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

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

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

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

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

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

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

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

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


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.


 Conference Papers

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).

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).

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.

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).

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.


Book Chapters

Zander TO, Brönstrup J, Lorenz R, Krol LR (2014).Towards BCI-based Implicit Control in Human-Computer Interaction. In S Fairclough and K Gilleade (eds), Advances in Physiological Computing, HumanComputer Interaction Series (pp.67-90). Springer: London.


PhD Thesis

Lorenz R (2017). Neuroadaptive Bayesian Optimization – Implications for the Cognitive Sciences, PhD Thesis, Imperial College London, UK.


Conference Talks

Lorenz R, Violante IR, Monti R, Montana G, Hamshire A, Leech R (2017). Fractionating frontoparietal brain networks using neuroadaptive Bayesian optimization. Real-time Functional Imaging and Neurofeedback Conference, 30.11.2017, Nara, Japan.

Lorenz R, Violante IR, Monti R, Montana G, Hamshire A, Leech R (2017). Fractionating frontoparietal brain networks using neuroadaptive Bayesian optimization. Organization for Human Brain Mapping Annual Meeting 2017, 30.6.2017, Vancouver, Canada. (slides)

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), 23.06.2016, Trento, Italy.

Lorenz R, Monti RP, Leech R, Anagnostopoulos C, Montana G (2016). Text-mining the Neurosynth corpus using Deep Boltmann Machines. 6th International Workshop on Pattern Recognition in Neuroimaging (PRNI), 22.06.2016, Trento, Italy.

Lorenz R, Monti RP, Violante IR, Anagnostopoulos C, Faisal AA, Montana G, Leech R (2015). Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization. 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging: Beyond the Scanner, 11.12.2015, Montreal, Canada.

Lorenz R, Monti RP, Violante IR, Anagnostopoulos C, Faisal AA, Montana G, Leech R (2015). The Automatic Neuroscientist: towards optimising patient-tailored cognitive rehabilitation therapy. International Conference on Brain Informatics & Health, 30.08.2015, London, UK.

Lorenz R, Pascual J, Blankertz B, Vidaurre C (2013). Assessing the User Experience with Hybrid BCIs. 4th TOBI Workshop – Practical Brain-Computer Interfaces for End-Users: Progress and Challenges, 23.01.2013, Sion, Switzerland.


Invited Talks

Mar 2018    TEDxNTUA, Athens, Greece

Mar 2018    Gatsby Computational Neuroscience Unit – UCL, London, UK

Feb 2018    Technical University Berlin, Neuroergonomics Group, Berlin, Germany

Jan 2018    Birkbeck University, Centre for Brain and Cognitive Development, London, UK

Dec 2017    NIPS Workshop “Bayesian Optimization for Science & Engineering”, LA, US (slides)

Nov 2017    WIRED Live, London, UK

Oct 2017    National University of Singapore, Clinical Imaging Centre, Singapore

Aug 2017    Cardiff University, School of Psychology, Cardiff, UK

Apr 2017    King’s College London, Department of Neuroimaging, London, UK

Dec 2016    King’s College London, Department of Bioengineering, London, UK

Apr 2015    UCL, Wellcome Trust Centre for Neuroimaging, London, UK