Computer Scientist / Neuroscientist
Updated on 04/11/2026
* and ** denote equal contribution. For the full list of works, see ORCID or Google Scholar.
Raimondo, F., Bi, H., Komeyer, V., Kasper, J., Primus, S., Hoffstaedter, F., Mandal, S., Waite, L., Winkelmann, J., Oexle, K., Eickhoff, S.B., Tahmasian, M., Patil, K.R. (2026) Can we predict sleep health based on brain features? A large-scale machine learning study using the UK Biobank. Brain Communications. https://doi.org/10.1093/braincomms/fcag016
Niedernhuber*, M., Raimondo*, F., Sitt**, J., Bekinschtein**, T. (2022) Sensory target detection at local and global timescales reveals a hierarchy of supramodal dynamics in the human cortex. Journal of Neuroscience. https://doi.org/10.1523/JNEUROSCI.0658-22.2022
Amiri*, M., Fisher*, P. M., Raimondo*, F., Sidaros, A., Cacic Hribljan, M., Othman, M., Zibrandtsen, I., Albrechtsen, S., Bergdal, O., Hansen, A., Hassager, C., Højgaard, J., Waldemar Jakobsen, E., Ravnholt Jensen, H., Møller, J., Nersesjan, V., Nikolic, M., Harboe Olsen, M., Thor Sigurdsson, S., Sitt, J. D., Sølling, C., Welling, K. L., Willumsen, L., Hauerberg, J., Larsen, V. A., Fabricius, M., Knudsen, G. M., Kjærgaard, J., Møller, K., Kondziella, D. (2022) Multimodal prediction of residual consciousness in the intensive care unit: the CONNECT-ME study. Brain. https://doi.org/10.1093/brain/awac335
Gaubert*, S., Raimondo*, F., Houot, M., Corsi, M.C., Naccache, L., Sitt, J., Hermann, B., Odiette, D., Gagliardi, G., Habert, M.O., Dubois, B., De Vico Fallani, F., Bakardjian, H., Epelbaum, S. (2019) EEG evidence of compensatory mechanisms in preclinical Alzheimer’s disease. Brain. https://doi.org/10.1093/brain/awz150
Engemann*, D., Raimondo*, F., King, J.R., Rohaut, B., Louppe, G., Faugeras, F., Annen, J., Cassol, H., Gosseries, O., Fernandez Slezak, D., Laureys, S., Naccache, L., Dehaene, S., Sitt, J. (2018) Robust EEG-based cross-site and cross-protocol classification of states of consciousness. Brain. https://doi.org/10.1093/brain/awy251
Raimondo, F., Rohaut, B., Demertzi, A., Valente, M., Sati, M., Fernandez Slezak, D., Naccache, L., Sitt, J. (2017) Brain–heart interactions reveal consciousness in noncommunicating patients. Annals of Neurology. http://doi.org/10.1002/ana.25045
Raimondo, F., Kamienkowski, J. E., Sigman, M., Fernandez Slezak, D. (2012) CUDAICA: GPU optimization of infomax-ICA EEG analysis. Computational Intelligence and Neuroscience. http://doi.org/10.1155/2012/206972
Komeyer, V., Nieto, N., Eickhoff, S.B., Raimondo**, F., Patil**, K.R. (2026) Overview of Challenges in Brain-Based Predictive Modeling: Toward Meaningful Predictive Insights. Biological Psychiatry. https://doi.org/10.1016/j.biopsych.2025.09.003
Manasova, D., Perl, Y.S., Bruno, N.M., Valente, M., Rohaut, B., Tagliazucchi, E., Naccache, L., Raimondo**, F., Sitt**, J.D. (2025) Dynamics of EEG Microstates Change Across the Spectrum of Disorders of Consciousness. Brain Topography. https://doi.org/10.1007/s10548-025-01142-x
Boulakis, P.A., Simos, N.J., Zoi, S., Mortaheb, S., Schmidt, C., Raimondo**, F., Demertzi**, A. (2025) Variations of autonomic arousal mediate the reportability of mind blanking occurrences. Scientific Reports. https://doi.org/10.1038/s41598-024-81618-1
Hamdan, S., More, S., Sasse, L., Komeyer, V., Patil, K.R., Raimondo, F. for the Alzheimer’s Disease Neuroimaging Initiative (2024) Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML models. GigaByte. https://doi.org/10.46471/gigabyte.113
Strauss, M., Sitt, J., Naccache, L., Raimondo, F. (2022). Predicting the loss of responsiveness when falling asleep in humans. Neuroimage. https://doi.org/10.1016/j.neuroimage.2022.119003
Nieto, N., Eickhoff, S.B., Jung, C., Reuter, M., Diers, K., Kelm, M., Lichtenberg, A., Raimondo, F., Patil, K.R. (2026) Impact of leakage on data harmonization in machine learning pipelines in class imbalance across sites. Neurocomputing. https://doi.org/10.1016/j.neucom.2026.133146
Mahdipour, M., Maleki Balajoo, S., Raimondo, F., Wu, J., Nicolaisen-Sobesky, E., More, S., Hoffstaedter, F., Schwender, H., Tahmasian, M., Eickhoff, S.B., Genon, S. (2026) Exposome-wide patterns predict brain health in aging. Nature Communications. https://doi.org/10.1038/s41467-026-71271-9
Nazarzadeh, K., Eickhoff, S.B., Antonopoulos, G., Hensel, L., Tscherpel, C., Komeyer, V., Raimondo, F., Müller, V., Grefkes, C., Patil, K.R. (2026) Machine learning-driven correction of handgrip strength: a novel biomarker for neurological and health outcomes in the UK Biobank. Biomedical Physics & Engineering Express. https://doi.org/10.1088/2057-1976/ae87ac
Nazarzadeh, K., Eickhoff, S.B., Antonopoulos, G., Hensel, L., Tscherpel, C., Komeyer, V., Raimondo, F., Grefkes, C., Patil, K.R. (2026) Predicting brain volumes from anthropometric and demographic features: insights from UK biobank neuroimaging data. Brain Structure and Function. https://doi.org/10.1007/s00429-025-03070-9
Antonopoulos, G., More, S., Eickhoff, S.B., Raimondo, F., Patil, K.R. (2025) Region-wise stacking ensembles for estimating brain-age using structural MRI. Computers in Biology and Medicine. https://doi.org/10.1016/j.compbiomed.2025.111182
Primus, S.A., Hoffstaedter, F., Raimondo, F., Eickhoff, S.B., Winkelmann, J., Oexle, K., Patil, K.R. (2025) Beyond volume: Unraveling the genetics of human brain geometry. Science Advances. https://doi.org/10.1126/sciadv.adr1644
Federmann, L.M., Sindermann, L., Primus, S., Raimondo, F., Oexle, K., Goltermann, J., Winkelmann, J., Nöthen, M.M., Amunts, K., Mühleisen, T.W., Cichon, S., Eickhoff, S.B., Hoffstaedter, F., Dannlowski, U., Patil, K.R., Forstner, A.J. (2025) Neurobiological correlates of schizophrenia-specific and highly pleiotropic genetic risk scores for neuropsychiatric disorders. Translational Psychiatry. https://doi.org/10.1038/s41398-025-03440-1
Sasse, L., Nicolaisen-Sobesky, E., Dukart, J., Eickhoff, S.B., Götz, M., Hamdan, S., Komeyer, V., Kulkarni, A., Lahnakoski, J.M., Love, B.C., Raimondo, F., Patil, K.R. (2025) Overview of leakage scenarios in supervised machine learning. Journal of Big Data. https://doi.org/10.1186/s40537-025-01193-8
Rohaut, B., Calligaris, C., Hermann, B., Perez, P., Faugeras, F., Raimondo, F., King, J.R., Engemann, D., Marois, C., Le Guennec, L., Di Meglio, L., Sangaré, A., Munoz Musat, E., Valente, M., Ben Salah, A., Demertzi, A., Belloli, L., Manasova, D., Jodaitis, L., Habert, M.O., Lambrecq, V., Pyatigorskaya, N., Galanaud, D., Puybasset, L., Weiss, N., Demeret, S., Lejeune, F.X., Sitt, J.D., Naccache, L. (2024) Multimodal assessment improves neuroprognosis performance in clinically unresponsive critical-care patients with brain injury. Nature Medicine. https://doi.org/10.1038/s41591-024-03019-1
Omidvarnia, A., Sasse, L., Larabi, D.I., Raimondo, F., Hoffstaedter, F., Kasper, J., Dukart, J., Petersen, M., Cheng, B., Thomalla, G., Eickhoff, S.B., Patil, K.R. (2024) Individual characteristics outperform resting-state fMRI for the prediction of behavioral phenotypes. Communications Biology. https://doi.org/10.1038/s42003-024-06438-5
Kraljević, N., Langner, R., Küppers, V., Raimondo, F., Patil, K.R., Eickhoff, S.B., Müller, V.I. (2024) Network and state specificity in connectivity‐based predictions of individual behavior. Human Brain Mapping. https://doi.org/10.1002/hbm.26753
Pérez, P., Manasova, D., Hermann, B., Raimondo, F., Rohaut, B., Bekinschtein, T.A., Naccache, L., Arzi, A., Sitt, J.D. (2024) Content–state dimensions characterize different types of neuronal markers of consciousness. Neuroscience of Consciousness. https://doi.org/10.1093/nc/niae027
Annen, J., Frasso, G., van der Lande, G.J.M., Bonin, E.A.C., Vitello, M.M., Panda, R., Sala, A., Cavaliere, C., Raimondo, F., Bahri, M.A., Schiff, N.D., Gosseries, O., Thibaut, A., Laureys, S. (2023) Cerebral electrometabolic coupling in disordered and normal states of consciousness. Cell Reports. https://doi.org/10.1016/j.celrep.2023.112854
Amiri, M., Raimondo, F., Fisher, P.M., Cacic Hribljan, M., Sidaros, A., Othman, M.H., Zibrandtsen, I., Bergdal, O., Fabritius, M.L., Hansen, A.E., Hassager, C., Højgaard, J.L.S., Jensen, H.R., Knudsen, N.V., Laursen, E.L., Møller, J.E., Nersesjan, V., Nicolic, M., Sigurdsson, S.T., Sitt, J.D., Sølling, C., Welling, K.L., Willumsen, L.M., Hauerberg, J., Larsen, V.A., Fabricius, M.E., Knudsen, G.M., Kjærgaard, J., Møller, K., Kondziella, D. (2023) Multimodal Prediction of 3- and 12-Month Outcomes in ICU Patients with Acute Disorders of Consciousness. Neurocritical Care. https://doi.org/10.1007/s12028-023-01816-z
Candia-Rivera, D., Raimondo, F., Pérez, P., Naccache, L., Tallon-Baudry, C., Sitt, J.D. (2023) Conscious processing of global and local auditory irregularities causes differentiated heartbeat-evoked responses. eLife. https://doi.org/10.7554/eLife.75352
Luppi, A.I., Cabral, J., Cofre, R., Mediano, P.A.M., Rosas, F.E., Qureshi, A.Y., Kuceyeski, A., Tagliazucchi, E., Raimondo, F., Deco, G., Shine, J.M., Kringelbach, M.L., Orio, P., Ching, S., Sanz Perl, Y., Diringer, M.N., Stevens, R.D., Sitt, J.D. (2023) Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness. NeuroImage. https://doi.org/10.1016/j.neuroimage.2023.120162
Antonopoulos, G., More, S., Raimondo, F., Eickhoff, S.B., Hoffstaedter, F., Patil, K.R. (2023) A systematic comparison of VBM pipelines and their application to age prediction. NeuroImage. https://doi.org/10.1016/j.neuroimage.2023.120292
Mortaheb, S., Van Calster, L., Raimondo, F., Klados, M., Boulakis, P., Georgoula, K., Majerus, S., Van De Ville, D., Demertzi, A. (2022) Mind blanking is a distinct mental state linked to a recurrent brain profile of globally positive connectivity during ongoing mentation. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2200511119
Pérez, P., Madsen, J., Banellis, L., Türker, B., Raimondo, F., Perlbarg, V., Denis-Valente, M., Niérat, M.C., Puybasset, L., Naccache, L., Similowski, T., Cruse, D., Parra, L.C., Sitt, J.D. (2021) Conscious processing of narrative stimuli synchronizes heart rate between individuals. Cell Reports. https://doi.org/10.1016/j.celrep.2021.109692
Gaubert, S., Houot, M., Raimondo, F., Ansart, M., Corsi, M.C., Naccache, L., Sitt, J., Habert, M.O., Dubois, B., De Vico Fallani, F., Durrleman, S., Epelbaum, S. for the INSIGHT-preAD study group (2021) A machine learning approach to screen for preclinical Alzheimer’s disease. Neurobiology of Aging. https://doi.org/10.1016/j.neurobiolaging.2021.04.024
Hermann, B., Stender, J., Habert, M.O., Kas, A., Denis-Valente, M., Raimondo, F., Pérez, P., Rohaut, B., Sitt, J., Naccache, L. (2021) Multimodal FDG-PET and EEG assessment improves diagnosis and prognostication of disorders of consciousness. NeuroImage: Clinical. https://doi.org/10.1016/j.nicl.2021.102601
Ihalainen, R., Gosseries, O., Van de Steen, F., Raimondo, F., Panda, R., Bonhomme, V., Marinazzo, D., Bowman, H., Laureys, S., Chennu, S. (2021) How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness. NeuroImage. https://doi.org/10.1016/j.neuroimage.2021.117841
Hermann, B., Ben Salah, A., Perlbarg, V., Valente, M., Pyatigorskaya, N., Habert, M.O., Raimondo, F., Stender, J., Galanaud, D., Kas, A., Puybasset, L., Pérez, P., Sitt, J., Rohaut, B., Naccache, L. (2020) Habituation of auditory startle reflex is a new sign of minimally conscious state. Brain. https://doi.org/10.1093/brain/awaa159
Hermann, B., Raimondo, F., Hirsch, L., Huang, Y., Denis-Valente, M., Pérez, P., Engemann, D., Faugeras, F., Weiss, N., Demeret, S., Rohaut, B., Parra, L.C., Sitt, J., Naccache, L. (2020) Combined behavioral and electrophysiological evidence for a direct cortical effect of prefrontal tDCS on disorders of consciousness. Scientific Reports. https://doi.org/10.1038/s41598-020-61180-2
Blauwblomme*, T., Demertzi*, A., Tacchela, J-M., Fillon, L., Bourgeois, M., Losito, E., Eisermann, M., Marinazzo, D., Raimondo, F., Alcauter, S., Van De Steen, F., Colenbier, N., Laureys, S., Dangouloff-Ros, V., Naccache, L., Boddaert, N., Nabbout, R. (2020) Complete hemispherotomy leads to lateralized functional organization and lower level of consciousness in the isolated hemisphere. Epilepsia Open. https://doi.org/10.1002/epi4.12433
Carrière, M., Mortaheb, S., Raimondo, F., Annen, J., Barra, A., Binda Fossati, M.C., Chatelle, C., Hermann, B., Martens, G., Di Perri, C., Laureys, S., Thibaut, A. (2020) Neurophysiological Correlates of a Single Session of Prefrontal tDCS in Patients with Prolonged Disorders of Consciousness: A Pilot Double-Blind Randomized Controlled Study. Brain Sciences. https://doi.org/10.3390/brainsci10070469
Bonhomme, V., Staquet, C., Montupil, J., Defresne, A., Kirsch, M., Martial, C., Vanhaudenhuyse, A., Chatelle, C., Larroque, S. K., Raimondo, F., Demertzi, A., Bodart, O., Laureys, S., Gosseries, O. (2019) General Anesthesia: A Probe to Explore Consciousness. Frontiers in Systems Neuroscience. https://doi.org/10.3389/fnsys.2019.00036
Demertzi*, A., Tagliazucchi*, E., Dehaene, S., Deco, G., Barttfeld, P., Raimondo, F., Martial, C., Fernández-Espejo, D., Rohaut, B., Voss, H.U., Schiff, N.D., Owen, A.M., Laureys, S., Naccache, L., Sitt, J.D. (2019) Human consciousness is supported by dynamic complex patterns of brain signal coordination. Science Advances. http://doi.org/10.1126/sciadv.aat7603
Hesse, E., Mikulan, E., Sitt, J.D., Garcia, M.C., Silva, S., Ciraolo, C., Vaucheret, E., Raimondo, F., Baglivo, F., Adolfi, F., Herrera, E., Bekinschtein, T.A., Petroni, A., Lew, S., Sedeño, L., García, A.M., Ibáñez, A. (2019) Consistent gradient of performance and decoding of stimulus type and valence from local and network activity. IEEE Transactions on Neural Systems and Rehabilitation Engineering. https://doi.org/10.1109/TNSRE.2019.2903921
Weiss, S.A., Waldman, Z., Raimondo, F., Fernandez Slezak, D., Donmez, M., Worrell, G., Bragin, A., Engel, J., Staba, R., Sperling, M. (2019) Localizing epileptogenic regions using high-frequency oscillations and machine learning. Biomarkers in Medicine. https://doi.org/10.2217/bmm-2018-0335
Faugeras, F., Rohaut, B., Valente, M., Sitt, J., Demeret, S., Bolgert, F., Weiss, N., Grinea, A., Marois, C., Quirins, M., Demertzi, A., Raimondo, F., Galanaud, D., Habert, M.O., Engemann, D., Puybasset, L., Naccache, L. (2018) Survival and consciousness recovery are better in the minimally conscious state than in the vegetative state. Brain Injury. https://doi.org/10.1080/02699052.2017.1364421
Pietto, M.L., Gatti, M., Raimondo, F., Lipina, S.J., Kamienkowski, J.E. (2018) Electrophysiological approaches in the study of cognitive development outside the lab. PloS one. https://doi.org/10.1371/journal.pone.0206983
Rohaut, B., Raimondo, F., Galanaud, D., Valente, M., Sitt, J., Naccache, L. (2017) Probing consciousness in a sensory-disconnected paralyzed patient. Brain Injury. http://doi.org/10.1080/02699052.2017.1327673
Jas, M., Engemann, D. A., Bekhti, Y., Raimondo, F., Gramfort, A. (2017) Autoreject: Automated artifact rejection for MEG and EEG data. Neuroimage. https://doi.org/10.1016/j.neuroimage.2017.06.030
Naccache, L., Sitt, J., King, J.-R., Rohaut, B., Faugeras, F., Chennu, S., Strauss, M., Valente, M., Engemann, D., Raimondo, F., Demertzi, A., Bekinschtein, T., Dehaene, S. (2016) Reply: Replicability and impact of statistics in the detection of neural responses of consciousness. Brain. http://doi.org/10.1093/brain/aww060
Aragón-Daud, A., Boulakis, P.A., Mortaheb, S., Vandewalle, G., Collette, F., Patil, K.R., Demertzi, A., Raimondo, F. (2026) How to catch a blank mind? Brain similarities and differences between self- and probe-caught mind blanking. bioRxiv. https://doi.org/10.64898/2026.06.10.731344
Niedernhuber, M., Raimondo, F., Sitt, J., Bekinschtein, T. (2025) Sustained dynamics and modality-specific network reconfigurations define crossmodal prediction error. bioRxiv. https://doi.org/10.1101/2025.10.29.685284
Nieto, N., Raimondo, F., Eickhoff, S.B., Pöss, J., Desch, S., Feistritzer, H.-J., Lichtenberg, A., Masyuk, M., Kelm, M., Thiele, H., Patil, K.R., Jung, C. (2025) Machine learning models for early prognosis prediction in cardiogenic shock. medRxiv. https://doi.org/10.1101/2025.09.18.25336054
Koroma, M., Boulakis, P.A., Raimondo, F., Gialama, V., Blume, C., Strauss, M., Demertzi, A. (2024) Cardiac responses to auditory irregularities reveal hierarchical processing during sleep. bioRxiv. https://doi.org/10.1101/2024.09.24.614090
Komeyer, V., Herrmann, C., Eickhoff, S.B., Rathkopf, C., Raimondo**, F., Patil**, K.R. (2024) A causally informed framework for robust confounder control in biomedical machine learning. medRxiv. https://doi.org/10.1101/2024.09.20.24314055
Komeyer, V., Eickhoff, S.B., Grefkes, C., Patil, K.R., Raimondo, F. (2024) Confounder control in biomedicine necessitates conceptual considerations beyond statistical evaluations. medRxiv. https://doi.org/10.1101/2024.02.02.24302198
Mortaheb, S., Liégeois, R., Raimondo, F., Boulakis, P., Fort, L., Moallemian, S., Sharifpour, R., Karapanagiotidis, T., Van De Ville, D., Demertzi, A. (2023) Regional functional-structural coupling and decoupling can decode ongoing mental states during task-free conditions. OSF Registries. https://doi.org/10.17605/OSF.IO/TK3UW
Raimondo, F., Antonopoulos, G., Eickhoff, S.B., Patil, K.R. (2024) FastGPR: Divide-and-Conquer Technique in Neuroimaging Data Shortens Training Time and Improves Accuracy. 2024 IEEE International Symposium on Biomedical Imaging (ISBI). https://doi.org/10.1109/ISBI56570.2024.10635167
Jas, M., Engemann, D., Raimondo, F., Bekhti, Y., Gramfort, A. (2016) Automated rejection and repair of bad trials in MEG/EEG. 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI). https://doi.org/10.1109/PRNI.2016.7552336
Engemann*, D., Raimondo*, F., King, J.-R., Jas, M., Gramfort, A., Dehaene, S., Naccache, L., Sitt, J. (2015) Automated measurement and prediction of consciousness in vegetative and minimally conscious patients. ICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015). https://hal.inserm.fr/hal-01225254/
Qin, A.K., Raimondo, F., Forbes, F., Ong, Y.S. (2012) An improved CUDA-based implementation of differential evolution on GPU. Proceedings of the 14th annual conference on Genetic and evolutionary computation. https://doi.org/10.1145/2330163.2330301