Publications and communications of Jessica Schrouff

David, I. A., Schrouff, J., Wu, T., Tsirlis, K., Pourtois, G., Phillips, C., & Mourao-Miranda, J. (June 2020). Neuroimaging data from multiple sources in PRoNTo v3.0: spatiotemporal patterns of face processing [Poster presentation]. 2020 OHBM Annual Meeting.

Schrouff, J., Pischedda, Genon, S., Fryns, G., Pinho, A. L., Vassena, E., Liuzzi, A., & Ferreira, F. (October 2019). Gender bias in (neuro)science: facts, consequences and solutions. European Journal of Neuroscience, 50 (7), 3094-3100. doi:10.1111/ejn.14397

Portugal, L., Schrouff, J., Stiffler, R., Bertocci, M., Bebko, G., Chase, H., Lockovitch, J., Aslam, H., Graur, S., Greenberg, T., Pereira, M., Oliveira, L., Phillips, M., & Mourao-Miranda, J. (2019). Predicting anxiety from wholebrain activity patterns to emotional faces in young adults: a machine learning approach. NeuroImage: Clinical, 23. doi:10.1016/j.nicl.2019.101813

Schrouff, J., Monteiro, J. M., Portugal, L., Rosa, M. J., Phillips, C., & Mourao-Miranda, J. (2018). Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models. Neuroinformatics, 1-27. doi:10.1007/s12021-017-9347-8

Kucyi, A., Schrouff, J., Bickel, S., Foster, B., Shine, J., & Parvizi, J. (2018). Intracranial electrophysiology reveals reproducible intrinsic functional connectivity within human brain networks. Journal of Neuroscience, 0217-18. doi:10.1523/JNEUROSCI.0217-18.2018

Schrouff, J., & Mourao-Miranda, J. (2018). Interpreting weight maps in terms of cognitive or clinical neuroscience: Nonsense? In Proceedings of the International Workshop on Pattern Recognition for NeuroImaging, Singapore, 12-14 June 2018. IEEE. doi:10.1109/PRNI.2018.8423944

Quoilin, S., & Schrouff, J. (30 May 2016). Assessing steady-state, multivariate experimental data using Gaussian Processes: the GPExp open-source library. Energies, 9 (6). doi:10.3390/en9060423

Schrouff, J., Mourao-Miranda, J., Phillips, C., & Parvizi, J. (March 2016). Decoding intracranial EEG data with multiple kernel learning method. Journal of Neuroscience Methods, 261, 19-28. doi:10.1016/j.jneumeth.2015.11.028

Daitch, A., Foster, B., Schrouff, J., Rangarajan, V., Kasikci, I., Gattas, S., & Parvizi, J. (2016). Mapping human temporal and parietal neuronal population activity and functional coupling during mathematical cognition. Proceedings of the National Academy of Sciences of the United States of America, 113 (46). doi:10.1073/pnas.1608434113

Majerus, S., Cowan, N., Peters, F., Van Calster, L., Phillips, C., & Schrouff, J. (January 2016). Cross-Modal Decoding of Neural Patterns Associated with Working Memory: Evidence for Attention-Based Accounts of Working Memory. Cerebral Cortex, 26, 166-179. doi:10.1093/cercor/bhu189

Soddu, A.* , Gomez, F.* , Heine, L., Di Perri, C., Bahri, M. A., Voss, H. U., Bruno, M.-A., VANHAUDENHUYSE, A., Phillips, C., Demertzi, A., Chatelle, C., Schrouff, J., Thibaut, A., Charland-Verville, V., Noirhomme, Q., Salmon, E., TSHIBANDA, L., Schiff, N. D., & LAUREYS, S. (2016). Correlation between resting state fMRI total neuronal activity and PET metabolism in healthy controls and patients with disorders of consciousness. Brain and Behavior, 6 (1), 1-15. doi:10.1002/brb3.424

Schrouff, J., Foster, B. L., Rangarajan, V., Phillips, C., Mourao-Miranda, J., & Parvizi, J. (2014). Decoding memory processing from electro-corticography in human posteromedial cortex. In International Workshop on Pattern Recognition in Neuroimaging. doi:10.1109/PRNI.2014.6858543

Schrouff, J., Monteiro, J., Joao Rosa, M., Portugal, L., Phillips, C., & Mourao-Miranda, J. (June 2014). Can we interpret linear kernel machine learning models using anatomically labelled regions? [Poster presentation]. Organization for Human Brain Mapping, Hamburg, Germany.

Noirhomme, Q., Lesenfants, D., Gomez, F., Soddu, A., Schrouff, J., Garraux, G., Luxen, A., Phillips, C.* , & Laureys, S.*. (April 2014). Biased binomial assessment of cross-validated estimation of classification accuracies illustrated in diagnosis predictions. NeuroImage: Clinical, 4, 687-694. doi:10.1016/j.nicl.2014.04.004

Majerus, S., Cowan, N., Péters, N., Van Calster, L., Phillips, C., & Schrouff, J. (2014). Decoding neural correlates of verbal working memory by attention-based visual working memory [Paper presentation]. The 2014 meeting of the IUAP "Integrated cerebral networks for perception, cognition and action in human and non-human primats", Leuven, Switzerland.

Quoilin, S., & Schrouff, J. (2014). Assessing the quality of Experimental Data with Gaussian Processes: Example with an Injection Scroll Compressor. In Proceedings of the 2014 Purdue Conferences.

Schrouff, J., Rosa, M., Rondina, J., Marquand, A., Chu, C., Ashburner, J., Phillips, C., Richiardi, J., & Mourão-Miranda, J. (June 2013). Multivariate pattern interpretation using PRoNTo [Poster presentation]. Organization of Human Brain Mapping, Seattle, United States.

Schrouff, J. (2013). Pattern Recognition in NeuroImaging: What can machine learning classifiers bring to the analysis of functional brain imaging? [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/141001

Schrouff, J., Rosa, M. J., Rondina, J., Marquand, A., Chu, C., Ashburner, J., Phillips, C., Richiardi, J., & Mourão-Miranda, J. (February 2013). PRoNTo: Pattern Recognition for Neuroimaging Toolbox. Neuroinformatics, 11 (3), 319-337. doi:10.1007/s12021-013-9178-1

Garraux, G.* , Phillips, C.* , Schrouff, J., Kreisler, A., Lemaire, C., Degueldre, C., Delcour, C., Hustinx, R., Luxen, A., Destée, A., & Salmon, E. (2013). Multiclass classification of FDG PET scans for the distinction between Parkinson's disease and atypical parkinsonian syndromes. NeuroImage: Clinical, 2, 883-893. doi:10.1016/j.nicl.2013.06.004

Mascetti, L., Foret, A., Schrouff, J., Muto, V., DIDEBERG, V., Balteau, E., Degueldre, C., Phillips, C., Luxen, A., Collette, F., BOURS, V., & MAQUET, P. (2013). Concurrent Synaptic and Systems Memory Consolidation during Sleep. Journal of Neuroscience, 33 (24), 10182-10190. doi:10.1523/JNEUROSCI.0284-13.2013

Schrouff, J., CREMERS, J., GARRAUX, G., Baldasarre, L., Mourão-Miranda, J., & Phillips, C. (2013). Localizing and comparing weight maps generated from linear kernel machine learning models. In 2013 Third International Workshop on Pattern Recognition in NeuroImaging (PRNI 2013): proceedings. United States: IEEE Computer Society Conference Publishing Services. doi:10.1109/PRNI.2013.40

Schrouff, J., Rosa, M., Rondina, J., Chu, C., Marquand, A., Ashburner, J., Richiardi, J., Phillips, C., & Mourão-Miranda, J. (2013). Pattern Recognition for Neuroimaging Toolbox. In J. A. K. Suykens, A. Argyriou, K. De Brabanter, M. Diehl, K. Pelckmans, M. Signoretto, V. Van Belle, ... J. Vandewalle (Eds.), International workshop on advances in Regularization, Optimization, Kernel Methods and Support Vector Machines: theory and applications (ROKS 2013), Book of Abstracts.

Schrouff, J., Cremers, J., D'Ostilio, K., Delvaux, V., Garraux, G., & Phillips, C. (2012). Discriminant BOLD Activation Patterns during Mental Imagery in Parkinson’s Disease. Proceedings of MLINI 2012.

Schrouff, J., Kussé, C., Wehenkel, L., Maquet, P., & Phillips, C. (2012). Decoding spontaneous brain activity from fMRI using Gaussian Processes: tracking brain reactivation. In 2012 Second International Workshop on Pattern Recognition in NeuroImaging (PRNI 2012): proceedings. Los Alamitos, United States - California: IEEE Computer Society Conference Publishing Services. doi:10.1109/PRNI.2012.19

Schrouff, J., Rosa, M. J., Rondina, J., Marquand, A., Chu, C., Ashburner, J., Phillips, C., Richiardi, J., & Mourão-Miranda, J. (12 June 2012). PRoNTo: Pattern Recognition for Neuroimaging Toolbox [Poster presentation]. Organization of Human Brain Mapping.

Phillips, C., Schrouff, J., Luxen, A., Salmon, E., & Garraux, G. (10 June 2012). Automatic multiclass classification of 18FDG-PET scans for the distinction between Parkinson’s disease and atypical parkinsonian syndromes [Poster presentation]. Organization of Human Brain Mapping, Beijing, China.

Schrouff, J., Kussé, C., Wehenkel, L., Maquet, P., & Phillips, C. (2012). Decoding Semi-Constrained Brain Activity from fMRI Using Support Vector Machines and Gaussian Processes. PLoS ONE, 7 (4). doi:10.1371/journal.pone.0035860

Schrouff, J., & Phillips, C. (2012). Multivariate pattern analysis: brain decoding. In C. Schnakers & S. Laureys (Eds.), Coma and altered states of consciousness (pp. 41-48). London, United Kingdom: Springer.

Schrouff, J., Rosa, M. J., Rondina, J., Marquand, A., Chu, C., Ashburner, J., Phillips, C., Richiardi, J., & Mourao-Miranda, J. (2012). PRoNTo: Pattern Recognition for Neuroimaging Toolbox.

Schrouff, J., Kussé, C., Wehenkel, L., Maquet, P., & Phillips, C. (22 November 2011). Decoding semi-constrained brain activity from fMRI using SVM and GP [Paper presentation]. I Workshop on Mathematical Modeling and Computational Neuroscience of UFABC, São Paulo, Brazil.

Schrouff, J., Leclercq, Y., Noirhomme, Q., Maquet, P., & Phillips, C. (28 June 2011). FASST- a FMRI Artefact rejection and Sleep Scoring Toolbox [Poster presentation]. Organization of Human Brain Mapping, Québec, Canada.

Schrouff, J., Kussé, C., Wehenkel, L., Maquet, P., & Phillips, C. (26 June 2011). Decoding Directed Brain Activity in fMRI using Support Vector Machines and Gaussian Processes [Poster presentation]. Organization of Human Brain Mapping, Québec, Canada.

Kussé, C., Shaffii-Le Bourdiec, A., Schrouff, J., Matarazzo, L., & Maquet, P. (2011). Experience-dependent induction of hypnagogic images during daytime naps: a combined behavioral and EEG study. In Association for the Scientific Study of Consciousness 15, Kyoto, Japan, 9-12 June 2011.

Kussé, C., Shaffii, A., Schrouff, J., Matarazzo, L., & Maquet, P. (2011). Experience-dependent induction of hypnagogic images during daytime naps: a combined behavioural and EEG study. Journal of Sleep Research. doi:10.1111/j.1365-2869.2011.00939.x

Leclercq, Y., Schrouff, J., Noirhomme, Q., Maquet, P., & Phillips, C. (2011). fMRI Artefact Rejection and Sleep Scoring Toolbox. Computational Intelligence and Neuroscience. doi:10.1155/2011/598206

Schrouff, J., Perlbarg, V., Boly, M., Marrelec, G., BOVEROUX, P., Vanhaudenhuyse, A., Bruno, M.-A., Laureys, S., Phillips, C., Pélégrini-Issac, M., Maquet, P., & Benali, H. (2011). Brain functional integration decreases during propofol-induced loss of consciousness. NeuroImage, 57 (1), 198-205. doi:10.1016/j.neuroimage.2011.04.020

Schrouff, J., & Phillips, C. (2011). Analyse multivariée par reconnaissance de formes : décodage cérébral. In C. Schnakers & S. Laureys (Eds.), Coma et états de conscience altérée (pp. 41-49). Paris, France: Springer.

Schrouff, J., Perlbarg, V., Boly, M., Marrelec, G., BOVEROUX, P., Vanhaudenhuyse, A., Bruno, M.-A., Laureys, S., Phillips, C., Pélégrini-Issac, M., Maquet, P., & Benali, H. (12 December 2010). Changes in functional interactions during anaesthesia-induced loss of consciousness [Poster presentation]. Workshop on Connectivity Inference in Neuroimaging, Vancouver, Canada.

Schrouff, J., Leclercq, Y., Foret, A., Mascetti, L., Maquet, P., & Phillips, C. (14 December 2009). Characterization of spatio-temporal organization of slow waves during human NREM sleep [Poster presentation]. Benelux Bioinformatics Conference, Liège, Belgium.

Phillips, C., Schrouff, J., Coppieters't Wallant, D., Degueldre, C., Lehembre, R., Leclercq, Y., & Maquet, P. (2007). FASST - fMRI Artefact rejection and Sleep Scoring Toolbox.