Manousos Klados

I am a mathematician with an M.Sc. in Computational Neuroscience and a PhD at the intersection of Affective, Cognitive, and Computational Neurosciences, awarded in 2014 by the School of Medicine, Aristotle University of Thessaloniki. From 2014–2016, I was a postdoctoral fellow at the Max Planck Institute for Human Cognitive and Brain Sciences (Leipzig), studying the neural correlates of personality, followed by a senior research and teaching fellowship at TU Dresden (2016–2017), focusing on cortical network development. From 2017–2020, I lectured at Aston University, UK, completing a PGCert in Higher Education and earning Fellowship of the Higher Education Academy.

I have authored 25 journal articles and 30+ conference contributions. My research covers mathematical anxiety, brain networks, affective neuroscience, and biomedical signal processing. I coordinate an EU H2020-MC-RISE project, co-lead a Knowledge Transfer Partnership, and supervise PhD and MSc students. I am a Fellow of the Institute of Mathematics and its Applications and review for international journals and funding bodies.

• Discovering Science
• Research Methods in Psychology
• Introduction in Research Methods in Counseling Psychology
• Fundamentals of Neuropsychology
• Introduction in Research Methods in Neuropsychology
• Research Methods in Counseling Psychology

From a neuroscientific point of view, I am interested in affective and personality neurosciences, as well as in disorders that mainly affect the connectome. Based on these I am also interested in the applied aspect of neuroscience, and more specificialy with low cost devices. Some examples are the affective and personality computing, where I am trying to classify emotions and personality types using biosignals. From a methodological perspective, my main research interests are based mostly on human connectivity, and graph theoretical modeling of human’s brain, as well as the modulation introduced in brain networks either by affective and/or cognitive stimuli or under pathological circumstances.

ORCID profile: Research, scholarship, and innovation activities

Presentations in international coferences with published proceedings

Giannakaki, K., Giannakakis, G., Vorgia, P., Klados, M., & Zervakis, M. (2019). Automatic Absence Seizure Detection Evaluating Matching Pursuit Features of EEG Signals. 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), 886–889. https://doi.org/10.1109/BIBE.2019.00165

Klados, G. A., Zervakis, M., Dacosta-Aguayo, R., Fratini, A., & Klados, M. A. (2019). Towards a Novel Way to Predict Deficits After a Brain Lesion: A Stroke Example. 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), 737–741. https://doi.org/10.1109/BIBE.2019.00138

Fenech, M., Seri, S., & Klados, M. (2019). High-Frequency Oscillations in Epilepsy: A Short Review. 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), 882–885. https://doi.org/10.1109/BIBE.2019.00164

Pezoulas, V. C., Athanasiou, A., Nolte, G., Zervakis, M., Fratini, A., Fotiadis, D. I., & Klados, M. A. (2018). FCLAB: An EEGLAB module for performing functional connectivity analysis on single-subject EEG data. In 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) (pp. 96–99). IEEE. https://doi.org/10.1109/BHI.2018.8333378

Klados, M. A., Pandria, N., Athanasiou, A., & Bamidis, P. D. (2017). An Automatic EEG Based System for the Recognition of Math Anxiety. In 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) (pp. 409–412). IEEE. http://doi.org/10.1109/CBMS.2017.107

Dacosta-Aguayo, R., Stephan-Otto, C., Auer, T., Clemente, I., Davalos, A., Bargallo, N., … Klados, M. A. (2017). Predicting Cognitive Recovery of Stroke Patients from the Structural MRI Connectome Using a Naïve Bayesian Tree Classifier. In 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) (pp. 413–418). IEEE. http://doi.org/10.1109/CBMS.2017.106

Klados, M.A., Lauckner, M., Jackobsen, E., & Daniel, M. (2016). Characterizing the Primary Spectrum of Personality and Brain Connectivity. In 22nd Annual Meeting of the Organization for Human Brain Mapping.

Pezoulas, V., Zervakis, M., Micheloyannis, S., & Klados, M. A. (2016). Investigating the correlation between crystallized IQ and network metrics in cerebellum using resting-state fMRI. Frontiers in Human Neuroscience, 10. http://doi.org/10.3389/conf.fnhum.2016.220.00013

Klados, M. A. (2016). Human Connectome as a big-data problem: New approaches for analysis and visualization. Frontiers in Human Neuroscience, 10. http://doi.org/10.3389/conf.fnhum.2016.220.00012

Athanasiou, A., Klados, M. A., Astaras, A., Foroglou, N., Magras, I., & Bamidis, P. D. (2016). State of the Art and Future Prospects of Nanotechnologies in the Field of Brain-Computer Interfaces. In XIV Mediterranean Conference on Medical and Biological Engineering and Computing (pp. 456–460). Springer. http://doi.org/10.1007/978-3-319-32703-7_89

Athanasiou, A., Klados, M. A., Foroglou, N., Klados, K. R., Polyzoidis, K., & Barnidis, P. D. (2016). Reorganization of brain networks after spinal cord injury: a qualitative synthesis of the literature. Frontiers in Human Neuroscience, 10. http://doi.org/10.3389/conf.fnhum.2016.220.00036

Bayrak, Ş., Margulies, D., Bamidis, P., & Klados, M. A. (2016). Mathematical Anxiety influences the cortical connectivity profiles in lower alpha band during working memory tasks. Frontiers in Human Neuroscience, 10. http://doi.org/10.3389/conf.fnhum.2016.220.00001

Jakobsen, E., Klados, M.A., Zelmer, J., Goulas, A., & Margulies, D. S. (2015). Automated individual-level parcellation of Broca’s region based on resting-state functional connectivity. In 21st Annual Meeting of the Organization for Human Brain Mapping (OHBM).

Klados, M. A., Styliadis, C., & Bamidis, P. D. (2014). A Short Review on Emotional Recognition Based on Biosignal Pattern Analysis. In XIII Mediterranean Conference on Medical and Biological Engineering and Computing (pp. 787–790). http://doi.org/10.1007/978-3-319-00846-2_195

Bamparopoulos, G., Klados, M. A., Papathanasiou, N., Antoniou, I., Micheloyannis, S., & Bamidis, P. D. (2014). Studying Functional Brain Networks to Understand Mathematical Thinking: A Graph-Theoretical Approach. In L. M. Roa Romero (Ed.), XIII Mediterranean Conference on Medical and Biological Engineering and Computing (Vol. 41, pp. 783–786). Springer International Publishing. http://doi.org/10.1007/978-3-319-00846-2_194

Klados, M. A., Nikolaidou, M., Konstantinidis, E., Chifari, A., & Bamidis, P. D. (2013). A short review of computerized monitoring systems for ADHD. In Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems (pp. 556–557). IEEE. http://doi.org/10.1109/CBMS.2013.6627875

Klados, M. A., Lithari, C., Antoniou, I., Semertzidou, A., Bratsas, C., Micheloyannis, S., & Bamidis, P. D. (2012). Towards a graph theoretical approach to study gender lateralization effect in mathematical thinking. In 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE) (pp. 666–670). IEEE. http://doi.org/10.1109/BIBE.2012.6399746

Frantzidis, C. A., Diamantoudi, M. D., Grigoriadou, E., Semertzidou, A., Billis, A., Konstantinidis, E., … Bamidis, P. D. (2012). A Mahalanobis Distance Based Approach towards the Reliable Detection of Geriatric Depression Symptoms Co-existing with Cognitive Decline. In L. Iliadis, I. Maglogiannis, H. Papadopoulos, K. Karatzas, & S. Sioutas (Eds.), Artificial Intelligence Applications and Innovations SE – 2 (Vol. 382, pp. 16–25). Springer Berlin Heidelberg. http://doi.org/10.1007/978-3-642-33412-2_2

Artikis, A., Bamidis, P. D., Billis, A., Bratsas, C., Frantzidis, C., Karkaletsis, V., … others. (2012). Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study. International Workshop on Artificial Intelligence and NetMedicine, 21.

Klados, M. A., Bratsas, C., Frantzidis, C., Papadelis, C. L., & Bamidis, P. D. (2010). A Kurtosis-Based Automatic System Using Naïve Bayesian Classifier to Identify ICA Components Contaminated by EOG or ECG Artifacts. In XII Mediterranean Conference on Medical and Biological Engineering and Computing (pp. 49–52). http://doi.org/10.1007/978-3-642-13039-7_13

Lithari, C., Klados, M. A., & Bamidis, P. D. (2010). Graph Analysis on Functional Connectivity Networks during an Emotional Paradigm. In XII Mediterranean Conference on Medical and Biological Engineering and Computing (pp. 115–118). Springer. http://doi.org/10.1007/978-3-642-13039-7_29

Moridis, C. N., Klados, M. A., Terzis, V., Economides, A. A., Karabatakis, V. E., Karlovasitou, A., & Bamidis, P. D. (2010). Affective Learning: Empathetic Embodied Conversational Agents to Modulate Brain Oscillations. In XII Mediterranean Conference on Medical and Biological Engineering and Computing (pp. 675–678). http://doi.org/10.1007/978-3-642-13039-7_170

Komnidis, A., Konstantinidis, E., Stylianou, I., Klados, M. A., Kalfas, A., & Bamidis, P. D. (2010). A Modular Architecture of a Computer-Operated Olfactometer for Universal Use. In XII Mediterranean Conference on Medical and Biological Engineering and Computing (pp. 280–283). http://doi.org/10.1007/978-3-642-13039-7_70

Moridis, C. N., Klados, M. A., Kokkinakis, I. A., Terzis, V., Economides, A. A., Karlovasitou, A., … Karabatakis, V. E. (2010). The impact of audio-visual stimulation on alpha brain oscillations: An EEG study. In Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine (pp. 1–4). IEEE. http://doi.org/10.1109/ITAB.2010.5687651

Frantzidis, C. A., Lithari, C. D., Klados, M. A., Pappas, C., & Bamidis, P. D. (2010). Synchronization analysis of short EEG data through time-evolving relative wavelet entropy and IAPS affective visual stimuli. In Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine (pp. 1–4). IEEE. http://doi.org/10.1109/ITAB.2010.5687646

Peranonti, E. G., Klados, M. A., Papadelis, C. L., Kontotasiou, D. G., Kourtidou-Papadeli, C., & Bamidis, P. D. (2010). Can the EEG Indicate the FiO2 Flow of a Mechanical Ventilator in ICU Patients with Respiratory Failure? In XII Mediterranean Conference on Medical and Biological Engineering and Computing 2010 (pp. 827–830). Springer. http://doi.org/10.1007/978-3-642-13039-7_209

Lithari, C., Frantzidis, C. A. A., Papadelis, C., Klados, M. A., Pappas, C., & Bamidis, P. D. D. (2010). Small-world properties of brain Functional Connectivity Networks are affected by emotional stimuli. In Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine (pp. 1–4). IEEE. http://doi.org/10.1109/ITAB.2010.5687815

Bratsas, C., Frantzidis, C. A., Klados, M.A., Papadelis, C., Pappas, C., & Bamidis, P. D. (2009). Towards a semantic framework for an integrative description of neuroscience patterns and studies: a case for emotion-related data. Studies in Health Technology and Informatics, 150, 322–6. http://doi.org/10.3233/978-1-60750-044-5-322

Klados, M. A., Papadelis, C., Lithari, C. D., & Bamidis, P. D. (2009). The Removal Of Ocular Artifacts From EEG Signals: A Comparison of Performances For Different Methods. In 4th European Conference of the International Federation for Medical and Biological Engineering (pp. 1259–1263). http://doi.org/10.1007/978-3-540-89208-3_300

Bamidis, P. D., Frantzidis, C. A., Konstantinidis, E. I., Luneski, A., Lithari, C., Klados, M. A., … Pappas, C. (2009). An Integrated Approach to Emotion Recognition for Advanced Emotional Intelligence. In 13th International Conference of HCI International (pp. 565–574). http://doi.org/10.1007/978-3-642-02580-8_62

Klados, M. A., Papadelis, C. L., & Bamidis, P. D. (2009). REG-ICA: A new hybrid method for EOG Artifact Rejection. In 2009 9th International Conference on Information Technology and Applications in Biomedicine (pp. 1–4). IEEE. http://doi.org/10.1109/ITAB.2009.5394295