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Number of items: 37.

Lazarou, Ioulietta, Nikolopoulos, Spiros, Dimitriadis, Stavros, Kompatsiaris, Ioannis, Spiloti, Martha and Tsolaki, Magda 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
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Messaritaki, Eirini, Dimitriadis, Stavros and Jones, Derek 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

Dimitriadis, S, Lopez, M, Maestu, Fernando and Pereda, Ernesto 2019. Modelling of the switching behavior of functional connectivity microstates (FCμstates) as a novel biomarker for mild cognitive impairment. Frontiers in Neuroscience 13 , 542. 10.3389/fnins.2019.00542

Lancaster, Thomas, Dimitriadis, Stavros, Tansey, Katherine E., Perry, Gavin, Ihssen, Niklas, Jones, Derek K., Singh, Krish Devi, Holmans, Peter Alan, Pocklington, Andrew, Davey Smith, George, Zammit, Stanley, Hall, Jeremy, O'Donovan, Michael Conlon, Owen, Michael J. and Linden, David Edmund Johannes 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

Pusil, Sandra, Dimitriadis, Stavros, lopez, Maria Eugenia, Pereda, Ernesto and Maestu, Fernando 2019. Aberrant MEG multi-frequency phase temporal synchronization predicts conversion from mild cognitive impairment-to-Alzheimer's disease. NeuroImage: Clinical 24 , 101972. 10.1016/j.nicl.2019.101972

Dimitriadis, Stavros, Brindley, L., Evans, Lisa, Linden, David E. J. and Singh, Krish D. 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 , 59. 10.3389/fninf.2018.00059

Dimitriadis, Stavros 2018. Complexity of brain activity and connectivity in functional neuroimaging. Journal of Neuroscience Research 96 (11) , pp. 1741-1757. 10.1002/jnr.24316

Taya, Fumihiko, Dimitriadis, Stavros, Dragomir, Andrei, Lim, Julian, Sun, Yu, Wong, Kian Foong, Thakor, Nitish V. and Bezerianos, Anastasios 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, Stavros, Routley, Bethany, Linden, David and Singh, Krish 2018. Reliability of static and dynamic network metrics in the resting-state: a MEG-beamformed connectivity analysis. Frontiers in Neuroscience 12 , 506. 10.3389/fnins.2018.00506

Dimitriadis, Stavros 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, Stavros, Lopez, Maria, Bruña, Ricardo, Cuesta, Pablo, Marcos, Alberta, Maestu, Fernando and Pereda, Ernesto 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 , 306. 10.3389/fnins.2018.00306

Dimitriadis, Stavros, Liparas, D and Tsolaki, Magda 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, Stavros and Marimpis, Avraam 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 , 19. 10.3389/fninf.2018.00019

Dimitriadis, Stavros, Salis, Christos and Linden, David 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, Stavros, Simos, Panagiotis G., Fletcher, Jack M and Papanicolaou, Andrew C. 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

Dimitriadis, Stavros, Antonakakis, Marios, Simos, Panagiotis, Fletcher, Jack M. and Papanicolaou, Andrew C. 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, Stavros and Salis, Christos 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., Dimitriadis, Stavros, Zervakis, M., Papanicolaou, A. and Zouridakis, G. 2017. Altered rich club and frequency-dependent subnetworks organization in mild traumatic brain injury: A MEG resting-state study. Frontiers in Human Neuroscience 11 , 416. 10.3389/fnhum.2017.00416

Antonakakis, Marios, Dimitriadis, Stavros, Zervakis, Michalis, Papanicolaou, Andrew C. and Zouridakis, George 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, Stavros 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, Stavros, Salis, Christos, Tarnanas, Ioannis and Linden, David Edmund Johannes 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 , 28. 10.3389/fninf.2017.00028

Dimitriadis, Stavros, Simos, Panagiotis, Laskaris, Nikolaos A., Fotopoulos, Spiros, Fletcher, Jack M., Linden, David Edmund Johannes and Papanicolaou, Andrew C. 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 2016. Signal Processing and Information Technology (ISSPIT), 2016 IEEE International Symposium on. IEEE, pp. 333-336. 10.1109/ISSPIT.2016.7886059

Antonakakis, Marios, Dimitriadis, Stavros I., Papanicolaou, Andrew C., Zouridakis, George and Zervakis, Michalis 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. Published in: 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, Stavros, Tarnanas, Ioannis, Wiederhold, Mark, Wiederhold, Brenda, Tsolaki, Magda and Fleisch, Elgar 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, Stavros, Sun, Yu, Laskaris, Nikolaos, Thakor, Nitish and Bezerianos, Anastasios 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, Stavros, Sun, Yu, Thakor, Nitish V. and Bezerianos, Anastasios 2016. Causal interactions between Frontalθ – Parieto-Occipitalα2 predict performance on a mental arithmetic task. Frontiers in Human Neuroscience 10 , 454. 10.3389/fnhum.2016.00454

Dimitriadis, Stavros and Linden, David Edmund Johannes 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, Stavros, Sun, Yu, Thakor, Nitish and Bezerianos, Anastasios 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. Published in: Patton, J., Barbieri, R., Ji, J., Jabbari, E., Dokos, S., Mukkamala, R., Jovanov, E., Dhaher, Y., Panescu, D., van Gils, M., Wheeler, B. and Dhawan, A. P. 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, Stavros 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, Avraam, Dimitriadis, Stavros, Adamos, Dimitrios and Laskaris, Nikos 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, Stavros 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, Dimitrios A., Dimitriadis, Stavros and Laskaris, Nikolaos 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, Stavros, Laskaris, Nikolaos A., Simos, Panagiotis G., Fletcher, Jack M. and Papanicolaou, Andrew C. 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 , 163. 10.3389/fnhum.2016.00163

Antonakakis, Mario, Dimitriadis, Stavros, Zervakis, Michalis, Micheloyannis, Sifis, Rezaie, Roozbeh, Babajani-Feremi, Abbas, Zouridakis, George and Papanicolaou, Andrew C. 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, Stavros, Linden, David Edmund Johannes, Singh, Krish Devi and Jones, Derek K. 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, Stavros 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, Mina, Dimitriadis, Stavros, Thakor, Nitish and Bezerianos, Anastasios 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 2016. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Piscataway, NJ: IEEE, pp. 383-386. 10.1109/EMBC.2016.7590720

This list was generated on Tue Oct 22 04:28:16 2019 BST.

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