Dr Stavros Dimitriadis

2020

• Simos, N.et al. 2020. Quantitative identification of functional connectivity disturbances in neuropsychiatric lupus based on resting-state fMRI: a robust machine learning approach. Brain Sciences 10(11), article number: 777. (10.3390/brainsci10110777)
• Clarke, H.et al. 2020. Dementia risk factors modify hubs but leave other connectivity measures unchanged in asymptomatic individuals: a graph theoretical analysis. bioRxiv (10.1101/2020.10.08.331025)
• Marimpis, A. D., Dimitriadis, S. I. and Goebel, R. 2020. A multiplex connectivity map of valence-arousal emotional model. IEEE Access 8, pp. 170928 - 170938. (10.1109/ACCESS.2020.3025370)
• Dimitriadis, S. 2020. Reconfiguration of amplitude driven dominant coupling modes (DoCM) mediated by α-band in adolescents with schizophrenia spectrum disorders. Progress in Neuro-Psychopharmacology and Biological Psychiatry, article number: 110073. (10.1016/j.pnpbp.2020.110073)
• Antonakakis, M.et al. 2020. Aberrant whole-brain transitions and dynamics of spontaneous network microstates in mild traumatic brain injury. Frontiers in Computational Neuroscience 13, article number: 90. (10.3389/fncom.2019.00090)
• Dimitriadis, S. I.et al. 2020. Global brain flexibility during working memory is reduced in a high genetic risk group for schizophrenia. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging

2019

• Dimitriadis, S. I.et al. 2019. Typical and aberrant functional brain flexibility: lifespan development and aberrant organization in traumatic brain injury and dyslexia. Brain Sciences 9(12), article number: 380. (10.3390/brainsci9120380)
• Messaritaki, E., Dimitriadis, S. I. and Jones, D. K. 2019. Optimization of graph construction can significantly increase the power of structural brain network studies. NeuroImage 199, pp. 495-511. (10.1016/j.neuroimage.2019.05.052)
• Lazarou, I.et al. 2019. Is brain connectome research the future frontier for subjective cognitive decline? A systematic review. Clinical Neurophysiology 130(10), pp. 1762-1780. (10.1016/j.clinph.2019.07.004)
• Pusil, S.et al. 2019. Aberrant MEG multi-frequency phase temporal synchronization predicts conversion from mild cognitive impairment-to-Alzheimer's disease. NeuroImage: Clinical 24, article number: 101972. (10.1016/j.nicl.2019.101972)
• Dimitriadis, S.et al. 2019. Modelling of the switching behavior of functional connectivity microstates (FCμstates) as a novel biomarker for mild cognitive impairment. Frontiers in Neuroscience 13, article number: 542. (10.3389/fnins.2019.00542)
• Lancaster, T. M.et al. 2019. Structural and functional neuroimaging of polygenic risk for schizophrenia: a recall-by-genotype-based approach. Schizophrenia Bulletin 45(2), pp. 405-414. (10.1093/schbul/sby037)

2018

• Dimitriadis, S.et al. 2018. A novel, fast, reliable and data-driven method for simultaneous single-trial mining and amplitude - latency estimation based on proximity graphs and network analysis. Frontiers in Neuroinformatics 12, article number: 59. (10.3389/fninf.2018.00059)
• Dimitriadis, S. 2018. Complexity of brain activity and connectivity in functional neuroimaging. Journal of Neuroscience Research 96(11), pp. 1741-1757. (10.1002/jnr.24316)
• Taya, F.et al. 2018. Fronto-parietal subnetworks flexibility compensates for cognitive decline due to mental fatigue. Human Brain Mapping 39(9), pp. 3528-3845. (10.1002/hbm.24192)
• Dimitriadis, S.et al. 2018. Reliability of static and dynamic network metrics in the resting-state: a MEG-beamformed connectivity analysis. Frontiers in Neuroscience 12, article number: 506. (10.3389/fnins.2018.00506)
• Dimitriadis, S. and Liparas, D. 2018. How random is the random forest? Random forest algorithm on the service of structural imaging biomarkers for Alzheimer's disease: from Alzheimer's disease neuroimaging initiative (ADNI) database. Neural Regeneration Research 13(6), pp. 962-970. (10.4103/1673-5374.233433)
• Dimitriadis, S.et al. 2018. How to build a functional connectomic biomarker for mild cognitive impairment from source reconstructed MEG resting-state activity: the combination of ROI representation and connectivity estimator matters. Frontiers in Neuroscience 12, article number: 306. (10.3389/fnins.2018.00306)
• Dimitriadis, S., Liparas, D. and Tsolaki, M. N. 2018. Random forest feature selection, fusion and ensemble strategy: combining multiple morphological MRI measures to discriminate among healthy elderly, MCI, cMCI and Alzheimer's disease patients: from the Alzheimer's disease neuroimaging initiative (ADNI) database. Journal of Neuroscience Methods 302, pp. 14-23. (10.1016/j.jneumeth.2017.12.010)
• Dimitriadis, S. and Marimpis, A. D. 2018. Enhancing performance and bit rates in a brain-computer interface system with phase-to-amplitude cross-frequency coupling: evidences from traditional c-VEP, fast c-VEP and SSVEP designs. Frontiers in Neuroinformatics 12, article number: 19. (10.3389/fninf.2018.00019)
• Dimitriadis, S., Salis, C. and Linden, D. 2018. A novel, fast and efficient single-sensor automatic sleep-stage classification based on complementary cross-frequency coupling estimates. Clinical Neurophysiology 129(4), pp. 815-828. (10.1016/j.clinph.2017.12.039)
• Dimitriadis, S.et al. 2018. Aberrant resting-state functional brain networks in dyslexia: Symbolic mutual information analysis of neuromagnetic signals. International Journal of Psychophysiology 126, pp. 20-29. (10.1016/j.ijpsycho.2018.02.008)

2017

• Dimitriadis, S.et al. 2017. Data-driven topological filtering based on orthogonal minimal spanning trees: application to multi-group MEG resting-state connectivity. Brain Connectivity 7(10), pp. 661-670. (10.1089/brain.2017.0512)
• Dimitriadis, S. and Salis, C. I. 2017. Mining time-resolved functional brain graphs to an EEG-based chronnectomic brain aged index (CBAI). Frontiers in Human Neuroscience 11(423) (10.3389/fnhum.2017.00423)
• Antonakakis, M.et al. 2017. Altered rich club and frequency-dependent subnetworks organization in mild traumatic brain injury: A MEG resting-state study. Frontiers in Human Neuroscience 11, article number: 416. (10.3389/fnhum.2017.00416)
• Antonakakis, M.et al. 2017. Reconfiguration of dominant coupling modes in mild traumatic brain injury mediated by δ-band activity: a resting state MEG study. Neuroscience 356, pp. 275-286. (10.1016/j.neuroscience.2017.05.032)
• Dimitriadis, S. 2017. A high performing EEG approach for the automated scoring of the sleep stages of neonates. Clinical Neurophysiology 128(6), pp. 1039-1040. (10.1016/j.clinph.2017.04.001)
• Dimitriadis, S.et al. 2017. Topological filtering of dynamic functional brain networks unfolds informative chronnectomics: a novel data-driven thresholding scheme based on Orthogonal Minimal Spanning Trees (OMSTs). Frontiers in Neuroinformatics 11, article number: 28. (10.3389/fninf.2017.00028)

2016

• Dimitriadis, S.et al. 2016. Classifying children with reading difficulties from non-impaired readers via symbolic dynamics and complexity analysis of MEG resting-state data. Presented at: 2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 12-14 December 2016Signal Processing and Information Technology (ISSPIT), 2016 IEEE International Symposium on. IEEE pp. 333-336., (10.1109/ISSPIT.2016.7886059)
• Antonakakis, M.et al. 2016. Improving the detection of mtbi via complexity analysis in resting - state magnetoencephalography. Presented at: 2016 IEEE International Conference on Imaging Systems and Techniques (IST), Chania, Greece, 4-6 Oct. 2016 Presented at Giakos, G. C. ed.2016 IEEE International Conference on Imaging Systems and Techniques (IST): Proceedings. Piscataway, NJ: IEEE pp. 156-160., (10.1109/IST.2016.7738215)
• Dimitriadis, S.et al. 2016. Mnemonic strategy training of the elderly at risk for dementia enhances integration of information processing via cross-frequency coupling. Alzheimer's & Dementia: Translational Research & Clinical Interventions 2(4), pp. 241-249. (10.1016/j.trci.2016.08.004)
• Dimitriadis, S.et al. 2016. Revealing cross-frequency causal interactions during a mental arithmetic task through symbolic transfer entropy: a novel vector-quantization approach. IEEE Transactions on Neural Systems and Rehabilitation Engineering 24(10), pp. 1017-1028. (10.1109/TNSRE.2016.2516107)
• Dimitriadis, S.et al. 2016. Causal interactions between Frontalθ – Parieto-Occipitalα2 predict performance on a mental arithmetic task. Frontiers in Human Neuroscience 10, article number: 454. (10.3389/fnhum.2016.00454)
• Dimitriadis, S. and Linden, D. E. J. 2016. Modulation of brain criticality via suppression of EEG long-range temporal correlations (LRTCs) in a closed-loop neurofeedback stimulation. Clinical Neurophysiology 127(8), pp. 2878-2881. (10.1016/j.clinph.2016.05.359)
• Dimitriadis, S.et al. 2016. Mining cross-frequency coupling microstates (CFCμstates) from EEG recordings during resting state and mental arithmetic tasks. Presented at: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, 16-20 August 2016 Presented at Patton, J. et al. eds.2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016): Proceedings of a meeting held 16-20 August 2016, Orlando, Florida, USA. Piscataway, NJ: IEEE pp. 5517-5520., (10.1109/EMBC.2016.7591976)
• Dimitriadis, S. 2016. Over a unified connectivity estimator for intra and inter-frequency couplings through symbolic transfer entropy: A MEG resting-state analysis [Abstract]. Frontiers in Neuroinformatics (10.3389/conf.fninf.2016.20.00006)
• Marimpis, A.et al. 2016. NNMF connectivity microstates : A new approach to represent the dynamic brain coordination. Frontiers in Neuroinformatics 10 (10.3389/conf.fninf.2016.20.00022)
• Dimitriadis, S. 2016. Identification of infants at high familiar risk for language-learning disorders (LLD) by combining machine learning techniques with EEG-based brain network metrics [Editorial]. Clinical Neurophysiology 127(7), pp. 2692-2694. (10.1016/j.clinph.2016.04.016)
• Adamos, D. A., Dimitriadis, S. and Laskaris, N. A. 2016. Towards the bio-personalization of music recommendation systems: a single-sensor EEG biomarker of subjective music preference. Information Sciences 343-44, pp. 94-108. (10.1016/j.ins.2016.01.005)
• Dimitriadis, S.et al. 2016. Greater repertoire and temporal variability of cross-frequency coupling (CFC) modes in resting-state neuromagnetic recordings among children with reading difficulties. Frontiers in Human Neuroscience 10, article number: 163. (10.3389/fnhum.2016.00163)
• Antonakakis, M.et al. 2016. Altered cross-frequency coupling in resting-state MEG after mild traumatic brain injury. International Journal of Psychophysiology 102, pp. 1-11. (10.1016/j.ijpsycho.2016.02.002)
• Dimitriadis, S.et al. 2016. A prolonged maturational time course in brain development for cortical processing of temporal modulations. Clinical Neurophysiology 127(2), pp. 994-998. (10.1016/j.clinph.2015.09.001)
• Dimitriadis, S. 2016. Predictive value of MEG using gradient magnetic field topography (GMFT) for seizure outcome following anterior corpus callosotomy (ACC) in patients with drop attacks. Clinical Neurophysiology 127(1), pp. 12-14. (10.1016/j.clinph.2015.06.019)
• Marmpena, M.et al. 2016. Phase to amplitude coupling as a potential biomarker for creative ideation: an EEG study. Presented at: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, 16-20 August 2016Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Vol. 2016. Piscataway, NJ: IEEE pp. 383-386., (10.1109/EMBC.2016.7590720)