Dr Stavros Dimitriadis

2021

• Dimitriadis, S. I., Salis, C. I. and Liparas, D. 2021. An automatic sleep disorder detection based on EEG cross-frequency coupling and random forest model. Journal of Neural Engineering 18(4), article number: 46064. (10.1088/1741-2552/abf773)
• Dimitriadis, S. I., Messaritaki, E. and Jones, D. K. 2021. The impact of graph construction scheme and community detection algorithm on the reliability of community and hub identification in structural brain networks. Human Brain Mapping (10.1002/hbm.25545)
• Dimitriadis, S. 2021. 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 108, article number: 110073. (10.1016/j.pnpbp.2020.110073)
• Clarke, H.et al. 2021. Dementia risk factors modify hubs but leave other connectivity measures unchanged in asymptomatic individuals: a graph theoretical analysis. Brain Connectivity (10.1089/brain.2020.0935)
• Dimitriadis, S. I.et al. 2021. Global brain flexibility during working memory is reduced in a high genetic risk group for schizophrenia. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging (10.1016/j.bpsc.2021.01.007)

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)
• 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)

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)
• 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. 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)
• 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)