The Lab 303

The Lab 303 Est. 2012 at the Department of Neuroinformatics and Biomedical Engineering, Maria Curie-Sklodowska University in Lublin is equipped with the dense array amplifier recording the cortical activity with up to 1000 Hz frequency through 256 channels HydroCel GSN 130 Geodesic Sensor Nets provided by EGI (Electrical Geodesic Systems, Inc., 500 East 4th Ave. Suite 200, Eugene, OR, 97401, USA). In addition, in the EEG Laboratory the Geodesic Photogrammetry System (GPS) was used. Eleven cameras placed in the corners of GPS take a set of subject’s photos and then it is possible to make a model of the particular subject brain based on its calculated size, proportion and shape. Next the software imposes all computed activity results on this model with a very good accuracy. The amplifier operates on the Net Station 4.5.4 software, GPS is under control of the Net Local 1.00.00 and GeoSource 2.0. The eye blinks and saccades elimination as well as gaze calibration are obtained owing to the application of dedicated eye-tracker operated by SmartEye 5.9.7. The Event-Related Potentials (ERP) experiments are conducted in the PST e-Prime 2.0.8.90 environment or current version of OpenSesame.

Selected papers that came out of the Lab 303

K. Zemla, G. Sedek, K. Wróbel, F. Postepski, and G. M. Wojcik, “Investigating the impact of guided imagery on stress, brain functions, and attention: A randomized trial,” Sensors, vol. 23, no. 16, p. 6210, 2023.

B. Bartosik, G. M. Wojcik, A. Kawiak, and A. Brzezicka, “How are the people in the photos judged analysis of brain activity when assessing levels of trust and attractiveness,” arXiv preprint arXiv:2306.09171, 2023.

K. Zemla, G. M. Wojcik, F. Postepski, K. Wróbel, A. Kawiak, and G. Sedek, “Modeling of brain cortical activity during relaxation and mental workload tasks based on eeg signal collection,” Applied Sciences, vol. 13, no. 7, p. 4472, 2023.

G. M. Wojcik, O. Shriki, L. Kwasniewicz,  A. Kawiak, K. Wróbel, B. Bartosik, Y. ben-Horin, S. Furman,  E. Panas, “Investigating brain cortical activity in patients with post-COVID-19 brain fog.” Front. Neurosci. Sec. Brain Imaging Methods, Volume 17 – 2023 |doi: 10.3389/fnins.2023.1019778.

P. Schneider, G. M. Wójcik, A. Kawiak, L. Kwasniewicz, and A. Wierzbicki, “Modeling and comparing brain processes in message and earned source credibility evaluation,” Frontiers in Human Neuroscience, vol. 16, 2022.

L. Kwasniewicz, G. M. Wojcik, P. Schneider, A. Kawiak, and A. Wierzbicki, “What to believe? impact of knowledge and message length on neural activity in message credibility evaluation,” Frontiers in Human Neuroscience, vol. 15, p. 659243, 2021. B.

Bartosik, G. M. Wojcik, A. Brzezicka, and A. Kawiak, “Are you able to trust me? analysis of the relationships between personality traits and the assessment of attractiveness and trust,” Frontiers in Human Neuroscience, p. 389, 2021.

G. M. Wójcik, A. Kawiak, P. Schneider, L. Kwasniewicz, and A. Wierzbicki, “Whom to believe? understanding and modeling brain activity in source credibility evaluation,” Frontiers in Neuroinformatics, vol. 14, p. 60, 2020.

G. M. Wójcik, J. Masiak, A. T. Kawiak, L. K. Kwasniewicz, P. Schneider, F. Postepski, and A. Gajos-Balinska, “Analysis of decision-making process using methods of quantitative electroencephalography and machine learning tools,” Frontiers in Neuroinformatics, vol. 13, p. 73, 2019.

G. M. Wojcik, J. Masiak, A. Kawiak, L. Kwasniewicz, P. Schneider, N. Polak, and A. Gajos-Balinska, “Mapping the human brain in frequency band analysis of brain cortex electroencephalographic activity for selected psychiatric disorders,” Frontiers in Neuroinformatics, vol. 12, p. 73, 2018.

G. M. Wójcik, J. Masiak, A. Kawiak, P. Schneider, L. Kwasniewicz, N. Polak, and A. Gajos-Balinska, “New protocol for quantitative analysis of brain cortex electroencephalographic activity in patients with psychiatric disorders,” Frontiers in Neuroinformatics, vol. 12, p. 27, 2018.

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