  | Kagialis, A., Simos, N.-I., Manolitsi, K., Vakis, A., Simos, P., & Papadaki, E. (2024). Functional connectivity-hemodynamic (un)coupling changes in chronic mild brain injury are associated with mental health and neurocognitive indices: a resting state fMRI study. Neuroradiology. doi:10.1007/s00234-024-03352-9  Peer Reviewed verified by ORBi |
 | Antypa, D., Simos, N.-I., Panou, T., Spyridaki, E., Kagialis, A., Kosteletou, E., Kavroulakis, E., Mastorodemos, V., & Papadaki, E. (August 2023). Distinct hemodynamic and functional connectivity features of fatigue in clinically isolated syndrome and multiple sclerosis: accounting for the confounding effect of concurrent depression symptoms. Neuroradiology, 65 (8), 1287 - 1300. doi:10.1007/s00234-023-03174-1 Peer Reviewed verified by ORBi |
 | Pentari, A., Simos, N.-I., Tzagarakis, G., Kagialis, A., Bertsias, G., Kavroulakis, E., Gratsia, E., Sidiropoulos, P., Boumpas, D. T., & Papadaki, E. (July 2023). Altered hippocampal connectivity dynamics predicts memory performance in neuropsychiatric lupus: a resting-state fMRI study using cross-recurrence quantification analysis. Lupus Science and Medicine, 10 (2), 000920. doi:10.1136/lupus-2023-000920 Peer Reviewed verified by ORBi |
 | C Manikis, G.* , Simos, N.-I.* , Kourou, K., Kondylakis, H., Poikonen-Saksela, P., Mazzocco, K., Pat-Horenczyk, R., Sousa, B., Oliveira-Maia, A. J., Mattson, J., Roziner, I., Marzorati, C., Marias, K., Nuutinen, M., Karademas, E., & Fotiadis, D. (12 June 2023). Personalized Risk Analysis to Improve the Psychological Resilience of Women Undergoing Treatment for Breast Cancer: Development of a Machine Learning-Driven Clinical Decision Support Tool. Journal of Medical Internet Research, 25, 43838. doi:10.2196/43838 Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | Simos, N.-I.* , Manolitsi, K.* , Luppi, A. I., Kagialis, A., Antonakakis, M., Zervakis, M., Antypa, D., Kavroulakis, E., Maris, T. G., Vakis, A., Stamatakis, E. A., & Papadaki, E. (April 2023). Chronic Mild Traumatic Brain Injury: Aberrant Static and Dynamic Connectomic Features Identified Through Machine Learning Model Fusion. Neuroinformatics, 21 (2), 427 - 442. doi:10.1007/s12021-022-09615-1 Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | Basta, M., Simos, N.-I., Zioga, M., Zaganas, I., Panagiotakis, S., Lionis, C., & Vgontzas, A. N. (February 2023). Personalized screening and risk profiles for Mild Cognitive Impairment via a Machine Learning Framework: Implications for general practice. International Journal of Medical Informatics, 170, 104966. doi:10.1016/j.ijmedinf.2022.104966 Peer Reviewed verified by ORBi |
 | Papadaki, E., Simos, N.-I., Kavroulakis, E., Bertsias, G., Antypa, D., Fanouriakis, A., Maris, T., Sidiropoulos, P., & Boumpas, D. T. (August 2022). Converging evidence of impaired brain function in systemic lupus erythematosus: changes in perfusion dynamics and intrinsic functional connectivity. Neuroradiology, 64 (8), 1593 - 1604. doi:10.1007/s00234-022-02924-x Peer Reviewed verified by ORBi |
 | Pentari, A., Tzagkarakis, G., Tsakalides, P., Simos, P., Bertsias, G., Kavroulakis, E., Marias, K., Simos, N.-I., & Papadaki, E. (February 2022). Changes in resting-state functional connectivity in neuropsychiatric lupus: A dynamic approach based on recurrence quantification analysis. Biomedical Signal Processing and Control, 72, 103285. doi:10.1016/j.bspc.2021.103285 Peer Reviewed verified by ORBi |
 | Antypa, D., Simos, N.-I., Kavroulakis, E., Bertsias, G., Fanouriakis, A., Sidiropoulos, P., Boumpas, D., & Papadaki, E. (April 2021). Anxiety and depression severity in neuropsychiatric SLE are associated with perfusion and functional connectivity changes of the frontolimbic neural circuit: a resting-state f(unctional) MRI study. Lupus Science and Medicine, 8 (1), 000473. doi:10.1136/lupus-2020-000473 Peer Reviewed verified by ORBi |
 | Kavroulakis, E.* , Simos, N.-I.* , Maris, T. G., Zaganas, I., Panagiotakis, S., & Papadaki, E. (2021). Evidence of Age-Related Hemodynamic and Functional Connectivity Impairment: A Resting State fMRI Study. Frontiers in Neurology, 12, 633500. doi:10.3389/fneur.2021.633500 Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | Simos, N.-I., Dimitriadis, S. I., Kavroulakis, E., Manikis, G. C., Bertsias, G., Simos, P., Maris, T. G., & Papadaki, E. (25 October 2020). Quantitative Identification of Functional Connectivity Disturbances in Neuropsychiatric Lupus Based on Resting-State fMRI: A Robust Machine Learning Approach. Brain Sciences, 10 (11), 1 - 18. doi:10.3390/brainsci10110777 Peer Reviewed verified by ORBi |
Simos, N.-I., Kavroulakis, E., Manikis, G. C., Bertsias, G., Papadaki, E., & Marias, K. (2019). Machine learning classification of neuropsychiatric systemic lupus erythematosus patients using resting-state fmri functional connectivity. In IST 2019 - IEEE International Conference on Imaging Systems and Techniques, Proceedings. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/IST48021.2019.9010078 Peer reviewed |
