Collection of publications of independent research studies and mentions about Enobio

Enobio has been used or mentioned in the following publications (non-exahustive list):

• Ruo, A., Villani, V., & Sabattini, L. (2023, January). Use of EEG Signals for Mental Workload Assessment in Human-Robot Collaboration. In Human-Friendly Robotics 2022: HFR: 15th International Workshop on Human-Friendly Robotics (pp. 233-247). Cham: Springer International Publishing.
• He, C., Chen, Y. Y., Phang, C. R., Stevenson, C., Chen, I. P., Jung, T. P., & Ko, L. W. (2023). Diversity and Suitability of the State-of-the-Art Wearable and Wireless EEG Systems Review. IEEE Journal of Biomedical and Health Informatics.
• Charpentier, S., Chetouani, M., Truck, I., Cohen, D., & Anzalone, S. M. (2023, February). Social Robots in Learning Scenarios: Useful Tools to Improve Students’ Attention or Potential Sources of Distraction?. In Social Robotics: 14th International Conference, ICSR 2022, Florence, Italy, December 13–16, 2022, Proceedings, Part II (pp. 124-134). Cham: Springer Nature Switzerland.
• Boni, S., Galluccio, M., Baroni, A., Martinuzzi, C., Milani, G., Emanuele, M., ... & Pozzo, T. (2023). Action Observation Therapy for Arm Recovery after Stroke: A Preliminary Investigation on a Novel Protocol with EEG Monitoring. Journal of Clinical Medicine, 12(4), 1327.
• Wascher, E., Reiser, J., Rinkenauer, G., Larrá, M., Dreger, F. A., Schneider, D., ... & Arnau, S. (2023). Neuroergonomics on the go: An evaluation of the potential of mobile EEG for workplace assessment and design. Human Factors, 65(1), 86-106.
• Saibene, A., Caglioni, M., Corchs, S., & Gasparini, F. (2023). EEG-Based BCIs on Motor Imagery Paradigm Using Wearable Technologies: A Systematic Review. Sensors, 23(5), 2798.
• Mesa-Gresa, M. G., Gil-Gómez, J. A., Lozano-Quilis, J. A., Schoeps, K., & Montoya-Castilla, I. (2023). Electrophysiological Correlates of the Emotional Response on Brain Activity in Adolescents. Available at SSRN 4357985.
• Ghodousi, M., Pousson, J. E., Bernhofs, V., & Griškova-Bulanova, I. (2023). Assessment of Different Feature Extraction Methods for Discriminating Expressed Emotions during Music Performance towards BCMI Application. Sensors, 23(4), 2252.
• Masi, G., Amprimo, G., Priano, L., & Ferraris, C. (2023). New Perspectives in Nonintrusive Sleep Monitoring for Neurodegenerative Diseases—A Narrative Review. Electronics, 12(5), 1098.
• Smith, K., Endsley, T., & Clark, T. (2023, March). Physiological Correlates of Objective Situation Awareness Measurements. In 2023 IEEE Aerospace Conference (pp. 1-6). IEEE.
• Koike, Y., Hiroi, Y., Itoh, Y., & Rekimoto, J. (2023, March). Brain-Computer Interface using Directional Auditory Perception. In Proceedings of the Augmented Humans International Conference 2023 (pp. 342-345).
• Colomar, L., San José Cáceres, A., Álvarez-Linera, J., González-Peñas, J., Huertas Patón, A., Martín de Blas, D., ... & Parellada, M. (2023). Role of cortical excitatory/inhibitory imbalance in autism spectrum disorders from a symptom severity trajectories framework: a study protocol. BMC psychiatry, 23(1), 1-10.
• Bakar, A. R. A., Lai, K. W., & Hamzaid, N. A. (2023). Behavioural Discrepancy of P300 and Cognitive Load in Varying Auditory Speech Perception. IEEE Sensors Journal.
• Vite, Y. J., & Hu, Y. (2023, March). The Role of Attention and Cognitive Workload in Measuring Levels of Task Complexity within Virtual Environments. In 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 651-652). IEEE.
• Ahmadi, M., Bai, H., Chatburn, A., Najatabadi, M. A., Wünsche, B. C., & Billinghurst, M. (2023, March). Comparison of Physiological Cues for Cognitive Load Measures in VR. In 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 837-838). IEEE.
• Cardona-Álvarez, Y. N., Álvarez-Meza, A. M., Cárdenas-Peña, D. A., Castaño-Duque, G. A., & Castellanos-Dominguez, G. (2023). A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments. Sensors, 23(7), 3763.
• Alves, R. L., Zortea, M., Serrano, P. V., Tomedi, R. B., Almeida, R. P., Torres, I. L. S., ... & Caumo, W. (2023). Insula functional connectivity at EEG resting-state as a biomarker linked to pain processing and severity of clinical symptoms in fibromyalgia.
• Kummetha, V. C., Durrani, U., Mason, J., Concas, S., & Kondyli, A. (2023). Driver Classification Using Self-reported, Psychophysiological, and Performance Metrics Within a Simulated Environment. Data Science for Transportation, 5(2), 6.
• Davidesco, I., Laurent, E., Valk, H., West, T., Milne, C., Poeppel, D., & Dikker, S. (2023). The Temporal Dynamics of Brain-to-Brain Synchrony Between Students and Teachers Predict Learning Outcomes. Psychological Science, 09567976231163872.
• Vanutelli, M. E., Salvadore, M., & Lucchiari, C. (2023). BCI Applications to Creativity: Review and Future Directions, from little-c to C2. Brain Sciences, 13(4), 665.
• Davidesco, I., Glaser, N., Stevenson, I. H., & Dagan, O. (2023). Detecting fluctuations in student engagement and retention during video lectures using electroencephalography. British Journal of Educational Technology.
• Shugaba, A., Subar, D. A., Slade, K., Willett, M., Abdel-Aty, M., Campbell, I., ... & Gaffney, C. J. (2023). Surgical Stress.
• Fassbender, K., Phillips, D. J., Grunwald, I. Q., Schottek, A., Alam, S., Perera, S., ... & Hybrid‐MSU Working Group. (2023). Hybrid‐Mobile Stroke Unit: Opening the Indication Spectrum for Stroke Mimics and Beyond. Stroke: Vascular and Interventional Neurology, 3(1), e000482.
• Jamal, S., Cruz, M. V., Chakravarthy, S., Wahl, C., & Wimmer, H. (2023). Integration of EEG and Eye Tracking Technology: A Systematic Review. SoutheastCon 2023, 209-216.
• Magtibay, K., & Umapathy, K. (2023). A Review of Tools and Methods for Detection, Analysis, and Prediction of Allostatic Load due to Workplace Stress. IEEE Transactions on Affective Computing.
• Menacho, M. D. O., Pacheco‐Barrios, K., Mendes, A. J., Sato, T. D. O., Fregni, F., & Gianlorenço, A. C. L. (2023). Exercise effects on motor function, manual dexterity, and brain oscillatory activity in individuals with Parkinson's disease: Randomized controlled trial protocol. Physiotherapy Research International, e2009.
• Osborne, T., Morgado, P., Paiva, D., & Versey, H. S. (2023). Wearable biosensors: an agenda for digital embodied methods. A Research Agenda for Digital Geographies, 83.
• Yan, Y., Ma, L., Liu, Y. S., Ivanov, K., Wang, J. H., Xiong, J., ... & Wang, L. (2023). Topological EEG-Based Functional Connectivity Analysis for Mental Workload State Recognition. IEEE Transactions on Instrumentation and Measurement.
• Mohamed, E. A., Adam, I. K., & Yusoff, M. Z. (2023). Effect of Subject-Specific Region of Interest on Motor Imagery Brain–Computer Interface. Applied Sciences, 13(11), 6364.
• Loizaga, E., Eyam, A. T., Bastida, L., & Lastra, J. L. M. (2023). A Comprehensive study of human factors, sensory principles and commercial solutions for future human-centered working operations in Industry 5.0. IEEE Access.

• Gossé, L. K., Wiesemann, F., Elwell, C. E., & Jones, E. J. (2022). Habitual night waking associates with dynamics of waking cortical theta power in infancy. Developmental Psychobiology, 64(8), e22344.
• Jeanne, R., Piton, T., Minjoz, S., Bassan, N., Le Chenechal, M., Semblat, A., ... & Pellissier, S. (2022). Gut-Brain Coupling and Multilevel Physiological Response to Biofeedback Relaxation After a Stressful Task Under Virtual Reality Immersion: A Pilot Study. Applied Psychophysiology and Biofeedback, 1-17.
• Kahya, M., Gouskova, N. A., Lo, O. Y., Zhou, J., Cappon, D., Finnerty, E., ... & Manor, B. (2022). Brain activity during dual-task standing in older adults. Journal of NeuroEngineering and Rehabilitation, 19(1), 1-10.
• Biercewicz, K., Chrąchol-Barczyk, U., Duda, J., & Wiścicka-Fernando, M. (2022). Modern Methods of Sustainable Behaviour Analysis—The Case of Purchasing FMCG. Sustainability, 14(20), 13387.
• Mendoza-Sánchez, S., Murillo-Garcia, A., Leon-Llamas, J. L., Sánchez-Gómez, J., Gusi, N., & Villafaina, S. (2022).Neurophysiological Response of Adults with Cerebral Palsy during Inclusive Dance with Wheelchair. Biology, 11(11), 1546.
• Škola, F., & Liarokapis, F. (2023). Virtual Reality Embodiment in Motor Imagery Brain–Computer Interface Training. SN Computer Science, 4(1), 1-14.
• Muñoz, D., Barria, P., Cifuentes, C. A., Aguilar, R., Baleta, K., Azorín, J. M., & Múnera, M. (2022). EEG Evaluation in a Neuropsychological Intervention Program Based on Virtual Reality in Adults with Parkinson’s Disease. Biosensors, 12(9), 751.
• Andreu-Sánchez, C., Martín-Pascual, M. Á., Gruart, A., & Delgado-García, J. M. (2022). Brain Symmetry in Alpha Band When Watching Cuts in Movies. Symmetry, 14(10), 1980.
• Hsieh, M. C., Zhang, Y. Q., Dong, R., Lee, Y. C., & Ni, C. Y. (2022). Use of EEG signals, cortisol secretion, and task performance to evaluate the effects of different lighting environments on concentration level in a sustained attention task. International Journal of Industrial Ergonomics, 92, 103371.
• Aygun, A., Nguyen, T., Haga, Z., Aeron, S., & Scheutz, M. (2022). Investigating Methods for Cognitive Workload Estimation for Assistive Robots. Sensors, 22(18), 6834.
• Serrano, J. A. G., Suárez, S. L. C., Poveda, D. C. C., & Rizo, A. (2022). Modulación de respuestas emocionales a través de la escucha de música en personas mayores. Encuentro Internacional de Educación en Ingeniería.
• Fuentes-García, J. P., Leon-Llamas, J. L., Gusi, N., & Villafaina, S. (2022). Are there neurophysiological differences behind the play of different chess modalities?: An international grandmaster case study. Physiology & Behavior, 113918.
• Taori, T. J., Gupta, S. S., Gajre, S. S., & Manthalkar, R. R. (2022). Cognitive workload classification: Towards generalization through innovative pipeline interface using HMM. Biomedical Signal Processing and Control, 78, 104010.
• Villafaina, S., Leon-Llamas, J. L., Murillo-Garcia, A., & Gusi, N. (2022). Impact of being physically active on the brain electrocortical activity, brain volumetry and performance in the Stroop color and word test in women with fibromyalgia. Scientific Reports, 12(1), 1-14.
• Agarwal, R., & Andujar, M. (2022). Neuro-Voting: An Accuracy Evaluation of a P300-Based Brain-Computer Interface for Casting Votes. In nternational Conference on Human-Computer Interaction (pp. 409-419). Springer, Cham.
• Zero, E., Bersani, C., & Sacile, R. (2022, June). Binary Controller Based on the Electrical Activity Related to Head Yaw Rotation. In Actuators (Vol. 11, No. 6, p. 161). MDPI.
• Rocha, P., Dagnino, P. C., O’Sullivan, R., Soria-Frisch, A., & Paúl, C. (2022). BRAINCODE for Cognitive Impairment Diagnosis in Older Adults: Designing a Case–Control Pilot Study. International Journal of Environmental Research and Public Health, 19(9), 5768.
• Teixeira, A., Rodrigues, I., Gomes, A., & Rodríguez, G. (2022). P100 ERP as a Tool to Identifying Problem Solving. In World Conference on Information Systems and Technologies (pp. 590-599). Springer, Cham.
• Ghodousi, M., Pousson, J. E., Voicikas, A., Bernhofs, V., Pipinis, E., Tarailis, P., ... & Griškova-Bulanova, I. (2022). EEG Connectivity during Active Emotional Musical Performance. Sensors, 22(11), 4064.
• Magnuson, J. R., Kang, H. J., Dalton, B. H., & McNeil, C. J. (2022). Neural effects of sleep deprivation on inhibitory control and emotion processing. Behavioural Brain Research, 426, 113845.
• Rita Teixeira, A., Santos, M., Santos, Á., & Gomes, A. (2022). AGELESS-Applications for Geriatric Exercises: Learning of the Elderly by Sensors and Software. In World Conference on Information Systems and Technologies (pp. 581-589). Springer, Cham.
• Márquez-García, A. V., Vakorin, V. A., Kozhemiako, N., Magnuson, J. R., Iarocci, G., Ribary, U., ... & Doesburg, S. M. (2022). Children with autism spectrum disorder show atypical electroencephalographic response to processing contextual incongruencies. Scientific Reports, 12(1), 1-14.
• van Bueren, N. E., van der Ven, S. H., Sella, F., & Kadosh, R. C. (2022). Explaining and Predicting the Effects of Neurostimulation via Neuronal Excitation/Inhibition. bioRxiv.
• Izhar, L. I., Babiker, A., Rizki, E. E., Lu, C. K., & Abdul Rahman, M. (2022). Emotion Self-Regulation in Neurotic Students: A Pilot Mindfulness-Based Intervention to Assess Its Effectiveness through Brain Signals and Behavioral Data. Sensors, 22(7), 2703.
• Nielsen, J. M., Zibrandtsen, I. C., Masulli, P., Sørensen, T. L., Andersen, T. S., & Kjær, T. W. (2022). Towards a wearable multi-modal seizure detection system in epilepsy: a pilot study. Clinical Neurophysiology.
• Armengol-Urpi, A., Salazar-Gómez, A. F., & Sarma, S. E. (2022, March). Brainwave-Augmented Eye Tracker: High-Frequency SSVEPs Improves Camera-Based Eye Tracking Accuracy. In 27th International Conference on Intelligent User Interfaces (pp. 258-276).
• Lockwood Estrin, G., Bhavnani, S., Goodwin, A., Arora, R., Divan, G., Haartsen, R., ... & Jones, E. J. (2022). From the lab to the field: acceptability of using electroencephalography with Indian preschool children. Wellcome Open Research, 7, 99.
• Caglar‐Ozhan, S., Altun, A., & Ekmekcioglu, E. (2022). Emotional patterns in a simulated virtual classroom supported with an affective recommendation system. British Journal of Educational Technology.
• Georgiadis, K., Kalaganis, F. P., Oikonomou, V. P., Nikolopoulos, S., Laskaris, N. A., & Kompatsiaris, I. (2022). RNeuMark: A Riemannian EEG Analysis Framework for Neuromarketing.
• Gomez-Alvaro, M. C., Villafaina, S., Leon-Llamas, J. L., Murillo-Garcia, A., Melo-Alonso, M., Sánchez-Gómez, J., ... & Gusi, N. (2022). Effects of Transcranial Direct Current Stimulation on Brain Electrical Activity, Heart Rate Variability, and Dual-Task Performance in Healthy and Fibromyalgia Women: A Study Protocol. Behavioral Sciences, 12(2), 37.
• Peiqing, H. (2022). Multidimensional State Data Reduction and Evaluation of College Students’ Mental Health Based on SVM. Journal of Mathematics, 2022.
• Lin, Y., Xiao, Y., Wang, L., Guo, Y., Zhu, W., Dalip, B., ... & Urman, R. D. (2022). Experimental Exploration of Objective Human Pain Assessment Using Multimodal Sensing Signals. Frontiers in Neuroscience, 16.
• Vecchiato, G., Del Vecchio, M., Ambeck-Madsen, J., Ascari, L., & Avanzini, P. (2022). EEG–EMG coupling as a hybrid method for steering detection in car driving settings. Cognitive Neurodynamics, 1-16.
• Janić, M., Ćirović, M., Dimitriadis, N., Jovanović Dimitriadis, N., & Alevizou, P. (2022). Neuroscience and CSR: Using EEG for Assessing the Effectiveness of Branded Videos Related to Environmental Issues. Sustainability, 14(3), 1347.
• Kulkarni, V., Joshi, Y., Manthalkar, R., & Elamvazuthi, I. (2022). Band decomposition of asynchronous electroencephalogram signal for upper limb movement classification. Physical and Engineering Sciences in Medicine, 1-14.
• Hekmatmanesh, A., Wu, H., Li, M., & Handroos, H. (2022). A Combined Projection for Remote Control of a Vehicle Based on Movement Imagination: A Single Trial Brain Computer Interface Study. IEEE Access.
• Troller-Renfree, S. V., Costanzo, M. A., Duncan, G. J., Magnuson, K., Gennetian, L. A., Yoshikawa, H., ... & Noble, K. G. (2022). The impact of a poverty reduction intervention on infant brain activity. Proceedings of the National Academy of Sciences, 119(5).

• Aloui, N., Planat-Chrétien, A., & Bonnet, S. (2021). Artefact subspace reconstruction for both EEG and fNIRS co-registred signals. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 208-211). IEEE.]
• Zortea, M., Beltran, G., Alves, R. L., Vicuña, P., Torres, I. L., Fregni, F., & Caumo, W. (2021). Spectral Power Density analysis of the resting-state as a marker of the central effects of opioid use in fibromyalgia. Scientific reports, 11(1), 1-13.
• Pousson, J. E., Voicikas, A., Bernhofs, V., Pipinis, E., Burmistrova, L., Lin, Y. P., & Griškova-Bulanova, I. (2021). Spectral Characteristics of EEG during Active Emotional Musical Performance. Sensors, 21(22), 7466.
• Ahonen, V., Leino, M., & Lipping, T. (2021). Electroencephalography in Evaluating Mental Workload of Gaming. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 845-848). IEEE
• Yang, Y., Feng, Y., Easa, S. M., & Zheng, X. (2021). Evaluation of mental load of drivers in long highway tunnel based on electroencephalograph. Frontiers in psychology, 12.
• Somon, B., Giebeler, Y., Darmet, L., & Dehais, F. (2021). Benchmarking cEEGrid and solid gel-based electrodes to classify inattentional deafness in a flight stimulator Frontiers in Neuroergonomics, 2.
• Haartsen, R., Mason, L., Braithwaite, E. K., Del Bianco, T., Johnson, M. H., & Jones, E. J. (2021). Reliability of an automated gaze‐controlled paradigm for capturing neural responses during visual and face processing in toddlerhood. Developmental Psychobiology, 63(7), e22157.
• Gupta, S. S., Taori, T. J., Ladekar, M. Y., Manthalkar, R. R., Gajre, S. S., & Joshi, Y. V. (2021). Classification of cross task cognitive workload using deep recurrent network with modelling of temporal dynamics. Biomedical Signal Processing and Control, 70, 103070.
• Liu, J., Tan, G., Sheng, Y., Wei, Y., & Liu, H. (2021). A novel delay estimation method for improving corticomuscular coherence in continuous synchronization events. IEEE Transactions on Biomedical Engineering.
• Izadi, B., Ghaedi, A., & Ghasemian, M. (2021). Neuropsychological responses of consumers to promotion strategies and the decision to buy sports products. Asia Pacific Journal of Marketing and Logistics.
• Mangaroska, K., Sharma, K., Gašević, D., & Giannakos, M. (2021). Exploring students' cognitive and affective states during problem solving through multimodal data: Lessons learned from a programming activity
• Villafaina, S., Fuentes-García, J. P., Gusi, N., Tornero-Aguilera, J. F., & Clemente-Suárez, V. J. (2021). Psychophysiological response of military pilots in different combat flight maneuvers in a flight simulator. Physiology & Behavior, 238, 113483.
• Possti, D., Fahoum, F., Sosnik, R., Giladi, N., Hausdorff, J. M., Mirelman, A., & Maidan, I. (2021). Changes in the EEG spectral power during dual-task walking with aging and Parkinson’s disease: initial findings using Event-Related Spectral Perturbation analysis. Journal of neurology, 268(1), 161-168.
• Ghaedi, A., Izadi, B., & Ghasemian, M. (2021).Investigation the Neuro - Physiological Responses of Consumer on the Endorsement and Discount Strategies in Sports Products. Sport Management and Development.
• Gupta, S. S., Manthalkar, R. R., & Gajre, S. S. (2021). Mindfulness intervention for improving cognitive abilities using eeg signal. Biomedical Signal Processing and Control, 70, 103072.
• Abdul Hamid, F., Naufal Mohamad Saad, M., & Haris, N. (2021). Comparison of Fractal Dimension and Wavelet Transform Methods in Classification of Stress State from EEG Signals. International Journal Of Computing and Digital System.
• Zhang, D. W., Zaphf, A., & Klingberg, T. (2021). Resting State EEG Related to Mathematical Improvement After Spatial Training in Children. Frontiers in Human Neuroscience, 15, 379.
• Brice, D., Gibson, Z., McGuinness, F., & Rafferty, K. (2021). Using Ultrasonic Haptics Within an Immersive Spider Exposure Environment to Provide a Multi-Sensorial Experience. Front. Virtual Real. 2: 707731. doi: 10.3389/frvir.
• Nguyen-Danse, D. A., Singaravelu, S., Chauvigné, L. A., Mottaz, A., Allaman, L., & Guggisberg, A. G. (2021). Feasibility of Reconstructing Source Functional Connectivity with Low-Density EEG. Brain Topography, 34(6), 709-719.
• Kulkarni, V., Joshi, Y., & Manthalkar, R. (2021). Sensory-Motor Cortex Signal Classification for Rehabilitation Using EEG Signal. In Applied Information Processing Systems (pp. 273-282). Springer, Singapore.
• Rajendran, V. G., Jayalalitha, S., & Adalarasu, K. (2021). EEG Based Evaluation of Examination Stress and Test Anxiety Among College Students. IRBM
• Zero, E., Graffione, S., Bersani, C., & Sacile, R. (2021). A BCI Driving System to Understand Brain Signals Related to Steering. In ICINCO (pp. 745-751).
• Teixeira, A. R., Rodrigues, I., Gomes, A., Abreu, P., & Rodríguez-Bermúdez, G. (2021). Using Brain Computer Interaction to Evaluate Problem Solving Abilities. In International Conference on Human-Computer Interaction (pp. 74-83). Springer, Cham.
• Veilahti, A. V. P., Kovarskis, L., & Cowley, B. U. (2021). Neurofeedback Learning Is Skill Acquisition but Does Not Guarantee Treatment Benefit: Continuous-Time Analysis of Learning-Curves From a Clinical Trial for ADHD. Frontiers in human neuroscience, 15.
• Simpson, T. G., & Rafferty, K. (2021). Investigating the P300 Response as a Marker of Working Memory in Virtual Training Environments. IEEE Transactions on Human-Machine Systems, 51(3), 265-277.
• Ladekar, M. Y., Gupta, S. S., Joshi, Y. V., & Manthalkar, R. R. (2021). EEG based visual cognitive workload analysis using multirate IIR filters. Biomedical Signal Processing and Control, 68, 102819.
• Kim, H. S., Jo, J. H., Lee, J. H., Jung, J. J., An, J. S., Choi, M. H., & Chung, S. C. (2021, June). Development of a Tactile Actuator with Non-Contact and Trans-Object Characteristics Using a Time-Varying Magnetic Field. In Actuators (Vol. 10, No. 6, p. 106). Multidisciplinary Digital Publishing Institute.
• Rosanne, O., Albuquerque, I., Cassani, R., Gagnon, J. F., Tremblay, S., & Falk, T. H. (2021). Adaptive filtering for improved eeg-based mental workload assessment of ambulant users. Frontiers in Neuroscience, 15, 341.
• Roza, V. C. C., & Postolache, O. (2021). β-Band Analysis from Simulated Flight Experiments. Aerospace, 8(5), 120.
• Magnuson, J. R., Doesburg, S. M., & McNeil, C. J. (2021). Development and recovery time of mental fatigue and its impact on motor function. Biological psychology, 161, 108076.
• Zero, E., Bersani, C., & Sacile, R. (2021). Identification of Brain Electrical Activity Related to Head Yaw Rotations Sensors, 21(10), 3345.
• Bersani, C., Sacile, R., & Zero, E. (2021). Towards a reverse world in automation: human as a sensor.
• Gollob, E., Mayer, M., & Braumann, J. (2021). Using Robotics and AI to Physically Explore a Space of Aesthetic Possibilities: Defining a Physical Aesthetic Experience by the Targeted EEG Feedback of the Perceiver. In Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction (pp. 1-8).
• Zero, E., Bersani, C., & Sacile, R. (2021). EEG Based BCI System for Driver's Arm Movements Identification. Automation, Robotics & Communications for Industry 4.0 (2021): 77.
• Babiker, A., & Faye, I. (2021). A Hybrid EMD-Wavelet EEG Feature Extraction Method for the Classification of Students’ Interest in the Mathematics Classroom. Computational intelligence and neuroscience, 2021.
• Andreu-Sánchez, C., Martín-Pascual, M. Á., Gruart, A., & Delgado-García, J. M. (2021). The effect of media professionalization on cognitive neurodynamics during audiovisual cuts. Frontiers in Systems Neuroscience, 2.

• Eduardo Quiles, Ferran Suay, Gemma Candela, Nayibe Chio, Manuel Jiménez, Leandro Álvarez-Kurogi. Low-Cost Robotic Guide Based on a Motor Imagery Brain–Computer Interface for Arm Assisted Rehabilitation(January 2020)
• Xavier Duart, Eduardo Quiles, Ferran Suay, Nayibe Chio, Emilio García, Francisco Morant. Evaluating the Effect of Stimuli Color and Frequency on SSVEP. (December 2020)
• Fechtali, T., & Ettahiri, H. Use of New Communication Technologies in the Behavioral and Cognitive Awareness of Road Users: Toward Safe Driving., (April 2020).

• Cardellicchio, P., Hilt, P. M., Dolfini, E., Fadiga, L., & D’Ausilio, A. Beta Rebound as an Index of Temporal Integration of Somatosensory and Motor Signals. Frontiers in Systems Neuroscience, (September 2020).
• Civile, C., Waguri, E., Quaglia, S., Wooster, B., Curtis, A., McLaren, R., Lavric, A., & McLaren, I. P. L. Testing the effects of transcranial direct current stimulation (tDCS) on the face inversion effect and the N170 event-related potentials (ERPs) component. Neuropsychologia, (April 2020).
• Liu, J., Tan, G., Sheng, Y., & Liu, H. Multiscale transfer spectral entropy for quantifying corticomuscular interaction. IEEE Journal of Biomedical and Health Informatics, (October 2020).
• Bogacz, M., Hess, S., Calastri, C., Choudhury, C. F., Erath, A., van Eggermond, M. A. B., Mushtaq, F., Nazemi, M., & Awais, M. Comparison of Cycling Behavior between Keyboard-Controlled and Instrumented Bicycle Experiments in Virtual Reality. Transportation Research Record: Journal of the Transportation Research Board, (April 2020).
• Ossmy, O., Han, D., Kaplan, B., Xu, M., Bianco, C., Mukamel, R., & Adolph, K. Looking without seeing: Children do not distinguish efficient from inefficient means to achieve a goal., (2020).
• Badesa, F. J., Diez, J. A., Barios, J. A., Catalan, J. M., & Garcia-Aracil, N. Evaluation of performance and heart rate variability during intensive usage of a BCI-controlled hand exoskeleton., (October 2020).
• Riquelme-Ros, J. V., Rodríguez-Bermúdez, G., Rodríguez-Rodríguez, I., Rodríguez, J. V., & Molina-García-pardo, J. M. On the better performance of pianists with motor imagery-based brain-computer interface systems. Sensors (Switzerland), (August 2020).
• Škola, F., Rizvić, S., Cozza, M., Barbieri, L., Bruno, F., Skarlatos, D., & Liarokapis, F. Virtual reality with 360-video storytelling in cultural heritage: Study of presence, engagement, and immersion. Sensors (Switzerland), (October 2020).
• Ruzzoli, M., McGuinness, A., Fernández, L. M., & Soto-Faraco, S. From cognitive control to visual incongruity: Conflict detection in surrealistic images. PLoS ONE, (June 2020).
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