Neuroscience of Cognition and Affection

Short profile

The Neuroscience of Cognition and Affection is housed in the Medical Physics Laboratory of Aristotle University of Thessaloniki, Greece. The group’s mission is to serve the community needs by endeavoring (a) to investigate human emotions, (b) to evaluate the effectiveness of non-pharmaceutical interventions of physical and cognitive stimulation, and (c) to understand how these interventions nurture cognitive health and emotional well-being throughout the life span of both healthy population as well as cognitively challenged patients. Central to these efforts has been the group’s dedication to fuse the emerging field of affective computing and affective medicine1,2 with neuroscientific research3 in an attempt to study the topography4 and neural sources5,6 of human emotions, their oscillatory and synchronisation mechanisms7, how these are affected by alcohol consumption8, or aged decline9 or in stressed everyday situations10 as well as how affective technology can be used to educate children with emotional deficits11.

Neuroscience of Cognition and Affection brings together researchers across diverse disciplines

The backbone of the group’s efforts and success so far is surely linked with the multi-disciplinary backgrounds of the team members and the combination of experimental skills12 and analytical/theoretical13 and methodological capacities14. The Neuroscience of Cognition and Affection group constitutes an interdisciplinary team that bridges the fields of medicine, physics, psychology, engineering and mathematics. The researchers of the Neuroscience of Cognition and Affection group conduct robust research studies that incorporate demographic, psychological, physical, and neural measures using different kinds of methodologies (Electroencephalography (EEG), Neurofeedback (Nf), Magnetoencephalography (MEG), Magnetic Resonance Imaging (MRI)) able to investigate the brain processes related to emotional processes and combine their outcome with behavioral and innovative computer based interventions. The facilities, including EEG, functional MRI (fMRI), and peripheral measures such as skin conductance (SCR) and electrocardiography (ECG), are located at the Medical Physics Laboratory of Aristotle University and at the University general hospital A.H.E.P.A.


1 Luneski, A., Konstantinidis, E., Bamidis, P.D. (2010). Affective medicine: A review of affective computing efforts in medical informatics (2010) Methods of Information in Medicine, 49(3), 207-218.

2 Frantzidis, C. A., Bratsas, C., Papadelis, C. L., Konstantinidis, E., Pappas, C., Bamidis, P. D. (2010). Toward emotion aware computing: an integrated approach using multichannel neurophysiological recordings and affective visual stimuli. Information Technology in Biomedicine, IEEE Transactions on, 14(3), 589-597.

3 Bamidis, P. D., Papadelis, C., Kourtidou-Papadeli, C., Pappas, C., Vivas, A. B. (2004). Affective computing in the era of contemporary neurophysiology and health informatics. Interacting with Computers, 16(4), 715-721.

4 Lithari, C., Frantzidis, C. A., Papadelis, C., Vivas, A. B., Klados, M. A., Kourtidou-Papadeli, C., Pappas, C., Ioannides, A.A., Bamidis, P. D. (2010). Are females more responsive to emotional stimuli? A neurophysiological study across arousal and valence dimensions. Brain topography, 23(1), 27-40.

5 Styliadis, C., Ioannides, A. A., Bamidis, P. D., Papadelis, C. (2015). Distinct cerebellar lobules process arousal, valence and their interaction in parallel following a temporal hierarchy. NeuroImage. doi:10.1016/j.neuroimage.2015.02.006.

6 Styliadis, C., Ioannides, A. A., Bamidis, P. D., Papadelis, C. (2014). Amygdala responses to valence and its interaction by arousal revealed by MEG. International Journal of Psychophysiology, 93(1), 121-33.

7 Klados, M. A., Frantzidis, C., Vivas, A. B., Papadelis, C., Lithari, C., Pappas, C., Bamidis, P. D. (2009). A framework combining delta Event-Related Oscillations (EROs) and Synchronisation Effects (ERD/ERS) to study emotional processing. Computational intelligence and neuroscience, 2009, 12. doi:10.1155/2009/549419

8 Lithari, C., Klados, M. A., Pappas, C., Albani, M., Kapoukranidou, D., Kovatsi, L., Bamidis, P.D., Papadelis, C. L. (2012). Alcohol affects the brain's resting-state network in social drinkers. PloS one, 7(10), e48641.

9 Ladas, A., Frantzidis, C., Bamidis, P., Vivas, A. B. (2014). Eye Blink Rate as a biological marker of Mild Cognitive Impairment. International Journal of Psychophysiology, 93(1), 12-16.

10 Klados, M. A., Kanatsouli, K., Antoniou, I., Babiloni, F., Tsirka, V., Bamidis, P. D., Micheloyannis, S. (2013). A graph theoretical approach to study the organization of the cortical networks during different mathematical tasks. PloS one, 8(8), e71800.

11 Konstantinidis, E. I., Luneski, A., Frantzidis, C. A., Nikolaidou, M., Hitoglou-Antoniadou, M., Bamidis, P. D. (2009). Information and communication technologies (ICT) for enhanced education of children with autism spectrum disorders. The Journal on Information Technology in Healthcare, 7(5), 284-292.

12 Styliadis, C., Papadelis, C., Konstantinidis, E., Ioannides, A. A., Bamidis, P. (2013). An MEG compatible system for measuring skin conductance responses. Journal of neuroscience methods, 212(1), 114-123.

13 Lithari, C., Klados, M. A., Papadelis, C., Pappas, C., Albani, M., Bamidis, P. D. (2012). How does the metric choice affect brain functional connectivity networks?. Biomedical Signal Processing and Control, 7(3), 228-236.

14 Klados, M. A., Papadelis, C., Braun, C., Bamidis, P. D. (2011). REG-ICA: A hybrid methodology combining Blind Source Separation and regression techniques for the rejection of ocular artifacts. Biomedical Signal Processing and Control, 6(3), 291-300.