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Items: 1 to 50 of 57

1.

Identification of physiological response functions to correct for fluctuations in resting-state fMRI related to heart rate and respiration.

Kassinopoulos M, Mitsis GD.

Neuroimage. 2019 Sep 2:116150. doi: 10.1016/j.neuroimage.2019.116150. [Epub ahead of print]

PMID:
31487547
2.

Dynamic Cerebral Autoregulation Reproducibility Is Affected by Physiological Variability.

Sanders ML, Elting JWJ, Panerai RB, Aries M, Bor-Seng-Shu E, Caicedo A, Chacon M, Gommer ED, Van Huffel S, Jara JL, Kostoglou K, Mahdi A, Marmarelis VZ, Mitsis GD, Müller M, Nikolic D, Nogueira RC, Payne SJ, Puppo C, Shin DC, Simpson DM, Tarumi T, Yelicich B, Zhang R, Claassen JAHR.

Front Physiol. 2019 Jul 9;10:865. doi: 10.3389/fphys.2019.00865. eCollection 2019.

3.

Older adults exhibit a more pronounced modulation of beta oscillations when performing sustained and dynamic handgrips.

Xifra-Porxas A, Niso G, Larivière S, Kassinopoulos M, Baillet S, Mitsis GD, Boudrias MH.

Neuroimage. 2019 Jul 19;201:116037. doi: 10.1016/j.neuroimage.2019.116037. [Epub ahead of print]

PMID:
31330245
4.

Graph Theoretical Characteristics of EEG-Based Functional Brain Networks in Patients With Epilepsy: The Effect of Reference Choice and Volume Conduction.

Anastasiadou MN, Christodoulakis M, Papathanasiou ES, Papacostas SS, Hadjipapas A, Mitsis GD.

Front Neurosci. 2019 Mar 20;13:221. doi: 10.3389/fnins.2019.00221. eCollection 2019.

5.

Assessment of dynamic functional connectivity in resting-state fMRI using the sliding window technique.

Savva AD, Mitsis GD, Matsopoulos GK.

Brain Behav. 2019 Apr;9(4):e01255. doi: 10.1002/brb3.1255. Epub 2019 Mar 18.

6.

Functional and effective reorganization of the aging brain during unimanual and bimanual hand movements.

Larivière S, Xifra-Porxas A, Kassinopoulos M, Niso G, Baillet S, Mitsis GD, Boudrias MH.

Hum Brain Mapp. 2019 Jul;40(10):3027-3040. doi: 10.1002/hbm.24578. Epub 2019 Mar 13.

PMID:
30866155
7.

A novel framework for estimating time-varying multivariate autoregressive models and application to cardiovascular responses to acute exercise.

Kostoglou K, Robertson AD, MacIntosh B, Mitsis GD.

IEEE Trans Biomed Eng. 2019 Mar 5. doi: 10.1109/TBME.2019.2903012. [Epub ahead of print]

PMID:
30843796
8.

Reproducibility of dynamic cerebral autoregulation parameters: a multi-centre, multi-method study.

Sanders ML, Claassen JAHR, Aries M, Bor-Seng-Shu E, Caicedo A, Chacon M, Gommer ED, Van Huffel S, Jara JL, Kostoglou K, Mahdi A, Marmarelis VZ, Mitsis GD, Müller M, Nikolic D, Nogueira RC, Payne SJ, Puppo C, Shin DC, Simpson DM, Tarumi T, Yelicich B, Zhang R, Panerai RB, Elting JWJ.

Physiol Meas. 2018 Dec 7;39(12):125002. doi: 10.1088/1361-6579/aae9fd.

PMID:
30523976
9.

Identification of Time-Varying Cortico-cortical and Cortico-Muscular Coherence during Motor Tasks with Multivariate Autoregressive Models.

Xifra-Porxas A, Kostoglou K, Lariviere S, Niso G, Kassinopoulos M, Boudrias MH, Mitsis GD.

Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:1024-1021. doi: 10.1109/EMBC.2018.8512475.

PMID:
30440565
10.

Investigation Of Interaction Between Physiological Signals And fMRI Dynamic Functional Connectivity Using Independent Component Analysis.

Nikolaou F, Orphanidou C, Murphy K, Wise RG, Mitsis GD.

Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:1019-1023. doi: 10.1109/EMBC.2018.8512465.

PMID:
30440564
11.

Modeling of dynamic cerebrovascular reactivity to spontaneous and externally induced CO2 fluctuations in the human brain using BOLD-fMRI.

Prokopiou PC, Pattinson KTS, Wise RG, Mitsis GD.

Neuroimage. 2019 Feb 1;186:533-548. doi: 10.1016/j.neuroimage.2018.10.084. Epub 2018 Nov 10.

PMID:
30423427
12.

Tumor growth modeling: Parameter estimation with Maximum Likelihood methods.

Patmanidis S, Charalampidis AC, Kordonis I, Mitsis GD, Papavassilopoulos GP.

Comput Methods Programs Biomed. 2018 Jul;160:1-10. doi: 10.1016/j.cmpb.2018.03.014. Epub 2018 Mar 20.

13.

Prediction of the Time to Syncope Occurrence in Patients Diagnosed with Vasovagal Syncope.

Kostoglou K, Schondorf R, Benoit J, Balegh S, Mitsis GD.

Acta Neurochir Suppl. 2018;126:313-316. doi: 10.1007/978-3-319-65798-1_61.

PMID:
29492581
14.

Unsupervised detection and removal of muscle artifacts from scalp EEG recordings using canonical correlation analysis, wavelets and random forests.

Anastasiadou MN, Christodoulakis M, Papathanasiou ES, Papacostas SS, Mitsis GD.

Clin Neurophysiol. 2017 Sep;128(9):1755-1769. doi: 10.1016/j.clinph.2017.06.247. Epub 2017 Jul 8.

PMID:
28778057
15.

Epileptic seizure onset correlates with long term EEG functional brain network properties.

Anastasiadou M, Hadjipapas A, Christodoulakis M, Papathanasiou ES, Papacostas SS, Mitsis GD.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:2822-2825. doi: 10.1109/EMBC.2016.7591317.

PMID:
28268905
16.

Estimation of voxel-wise dynamic cerebrovascular reactivity curves from resting-state fMRI data.

Prokopiou PC, Murphy K, Wise RG, Mitsis GD.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:1143-1146. doi: 10.1109/EMBC.2016.7590906.

PMID:
28268528
17.

Dynamic cerebral autoregulation in young athletes following concussion.

Kostoglou K, Wright AD, Smirl JD, Bryk K, van Donkelaar P, Mitsis GD.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:696-699. doi: 10.1109/EMBC.2016.7590797.

PMID:
28268423
18.

Effects of continuous positive airway pressure and isocapnic-hypoxia on cerebral autoregulation in patients with obstructive sleep apnoea.

Waltz X, Beaudin AE, Hanly PJ, Mitsis GD, Poulin MJ.

J Physiol. 2016 Dec 1;594(23):7089-7104. doi: 10.1113/JP272967.

19.

Classification and Prediction of Clinical Improvement in Deep Brain Stimulation From Intraoperative Microelectrode Recordings.

Kostoglou K, Michmizos KP, Stathis P, Sakas D, Nikita KS, Mitsis GD.

IEEE Trans Biomed Eng. 2017 May;64(5):1123-1130. doi: 10.1109/TBME.2016.2591827. Epub 2016 Jul 18.

PMID:
27429431
20.

Multiple-input nonlinear modelling of cerebral haemodynamics using spontaneous arterial blood pressure, end-tidal CO2 and heart rate measurements.

Marmarelis VZ, Mitsis GD, Shin DC, Zhang R.

Philos Trans A Math Phys Eng Sci. 2016 May 13;374(2067). pii: 20150180. doi: 10.1098/rsta.2015.0180.

21.

Spontaneous physiological variability modulates dynamic functional connectivity in resting-state functional magnetic resonance imaging.

Nikolaou F, Orphanidou C, Papakyriakou P, Murphy K, Wise RG, Mitsis GD.

Philos Trans A Math Phys Eng Sci. 2016 May 13;374(2067). pii: 20150183. doi: 10.1098/rsta.2015.0183.

PMID:
27044987
22.

GPU technology as a platform for accelerating physiological systems modeling based on Laguerre-Volterra networks.

Papadopoulos A, Kostoglou K, Mitsis GD, Theocharides T.

Conf Proc IEEE Eng Med Biol Soc. 2015;2015:3283-6. doi: 10.1109/EMBC.2015.7319093.

PMID:
26736993
23.

Automatic detection and removal of muscle artifacts from scalp EEG recordings in patients with epilepsy.

Anastasiadou M, Christodoulakis M, Papathanasiou ES, Papacostas SS, Mitsis GD.

Conf Proc IEEE Eng Med Biol Soc. 2015;2015:1946-50. doi: 10.1109/EMBC.2015.7318765.

PMID:
26736665
24.

Arterial CO2 effects modulate dynamic functional connectivity in resting-state fMRI.

Nikolaou F, Orphanidou C, Wise RG, Mitsis GD.

Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:1809-12. doi: 10.1109/EMBC.2015.7318731.

PMID:
26736631
25.

Model-Based Tumor Growth Dynamics and Therapy Response in a Mouse Model of De Novo Carcinogenesis.

Loizides C, Iacovides D, Hadjiandreou MM, Rizki G, Achilleos A, Strati K, Mitsis GD.

PLoS One. 2015 Dec 9;10(12):e0143840. doi: 10.1371/journal.pone.0143840. eCollection 2015.

26.

Assessment of nonlinear interactions in event-related potentials elicited by stimuli presented at short interstimulus intervals using single-trial data.

Loizides C, Achilleos A, Iannetti GD, Mitsis GD.

J Neurophysiol. 2015 Jun 1;113(10):3623-33. doi: 10.1152/jn.00523.2014. Epub 2015 Mar 18.

27.

Multivariate nonstationary modeling of cerebral hemodynamics.

Kostoglou K, Debert CT, Poulin MJ, Mitsis GD.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:6028-31. doi: 10.1109/EMBC.2014.6945003.

PMID:
25571371
28.

A mixed effects model framework for the assessment of nonlinear interactions in event-related potentials (ERPs) elicited by identical successive stimuli.

Loizides C, Achilleos A, Iannetti GD, Mitsis GD.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:4543-6. doi: 10.1109/EMBC.2014.6944634.

PMID:
25571002
29.

Periodicity in functional brain networks: application to scalp EEG from epilepsy patients.

Christodoulakis M, Hadjipapas A, Papathanasiou ES, Anastasiadou M, Papacostas SS, Mitsis GD.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:2805-8. doi: 10.1109/EMBC.2014.6944206.

PMID:
25570574
30.

Between-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure-flow relation: the CARNet study.

Meel-van den Abeelen AS, Simpson DM, Wang LJ, Slump CH, Zhang R, Tarumi T, Rickards CA, Payne S, Mitsis GD, Kostoglou K, Marmarelis V, Shin D, Tzeng YC, Ainslie PN, Gommer E, Müller M, Dorado AC, Smielewski P, Yelicich B, Puppo C, Liu X, Czosnyka M, Wang CY, Novak V, Panerai RB, Claassen JA.

Med Eng Phys. 2014 May;36(5):620-7. doi: 10.1016/j.medengphy.2014.02.002. Epub 2014 Apr 13.

31.

Special issue on cerebral autoregulation: measurement and modelling.

Mitsis GD, Simpson DM.

Med Eng Phys. 2014 May;36(5):561-2. doi: 10.1016/j.medengphy.2014.02.021. Epub 2014 Mar 15. No abstract available.

PMID:
24637098
32.

Multiprocess dynamic modeling of tumor evolution with bayesian tumor-specific predictions.

Achilleos A, Loizides C, Hadjiandreou M, Stylianopoulos T, Mitsis GD.

Ann Biomed Eng. 2014 May;42(5):1095-111. doi: 10.1007/s10439-014-0975-y. Epub 2014 Feb 1.

PMID:
24488234
33.

Nonstationary multivariate modeling of cerebral autoregulation during hypercapnia.

Kostoglou K, Debert CT, Poulin MJ, Mitsis GD.

Med Eng Phys. 2014 May;36(5):592-600. doi: 10.1016/j.medengphy.2013.10.011. Epub 2013 Dec 2.

PMID:
24291338
34.

Taking a break from chemotherapy to fight drug-resistance: The cases of cancer and HIV/AIDS.

Hadjiandreou MM, Mitsis GD.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:197-200. doi: 10.1109/EMBC.2013.6609471.

PMID:
24109658
35.

Mathematical modeling of tumor growth, drug-resistance, toxicity, and optimal therapy design.

Hadjiandreou MM, Mitsis GD.

IEEE Trans Biomed Eng. 2014 Feb;61(2):415-25.

PMID:
24021634
36.

The Volterra-Wiener approach in neuronal modeling.

Mitsis GD.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:5912-5. doi: 10.1109/IEMBS.2011.6091462.

PMID:
22255685
37.

Recursive least squares estimation of nonlinear multiple-input systems using orthonormal function expansions.

Mitsis GD, Markou MM.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:3728-31. doi: 10.1109/IEMBS.2011.6090634.

PMID:
22255150
38.

A switching control strategy for the attenuation of blood glucose disturbances.

Markakis MG, Mitsis GD, Papavassilopoulos GP, Ioannou PA, Marmarelis VZ.

Optim Control Appl Methods. 2011;32(2):185-195.

39.

Assessment of nonlinear interactions in event-related potentials (ERPs) elicited by stimuli presented at short inter-stimulus intervals.

Mitsis GD, Iannetti GD.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:4834-7. doi: 10.1109/IEMBS.2010.5627441.

PMID:
21096904
40.

Do we need to consider non-linear information flow in corticomuscular interaction?

Ioannides AA, Mitsis GD.

Clin Neurophysiol. 2010 Mar;121(3):272-3. doi: 10.1016/j.clinph.2009.11.005. Epub 2009 Dec 14. No abstract available.

PMID:
20005772
41.

Nonlinear, data-driven modeling of cardiorespiratory control mechanisms.

Mitsis GD.

Conf Proc IEEE Eng Med Biol Soc. 2009;2009:4360-6. doi: 10.1109/IEMBS.2009.5333806.

PMID:
19964356
42.

Autonomic neural control of cerebral hemodynamics.

Mitsis GD, Zhang R, Levine BD, Tzanalaridou E, Katritsis DG, Marmarelis VZ.

IEEE Eng Med Biol Mag. 2009 Nov-Dec;28(6):54-62. doi: 10.1109/MEMB.2009.934908.

43.

Nonlinear modeling of the dynamic effects of infused insulin on glucose: comparison of compartmental with Volterra models.

Mitsis GD, Markakis MG, Marmarelis VZ.

IEEE Trans Biomed Eng. 2009 Oct;56(10):2347-58. doi: 10.1109/TBME.2009.2024209. Epub 2009 Jun 2.

44.

The effect of remifentanil on respiratory variability, evaluated with dynamic modeling.

Mitsis GD, Governo RJ, Rogers R, Pattinson KT.

J Appl Physiol (1985). 2009 Apr;106(4):1038-49. doi: 10.1152/japplphysiol.90769.2008. Epub 2009 Feb 5.

45.

Model Predictive Control of blood glucose in Type 1 diabetes: the Principal Dynamic Modes approach.

Markakis MG, Mitsis GD, Papavassilopoulos GP, Marmarelis VZ.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:5466-9. doi: 10.1109/IEMBS.2008.4650451.

PMID:
19163954
46.

Computational study of an augmented minimal model for glycaemia control.

Markakis MG, Mitsis GD, Marmarelis VZ.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:5445-8. doi: 10.1109/IEMBS.2008.4650446.

PMID:
19163949
47.

Bayesian model order selection for nonlinear system function expansions.

Mitsis GD, Jbabdi S.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:2165-8. doi: 10.1109/IEMBS.2008.4649623.

PMID:
19163126
48.

Determination of the human brainstem respiratory control network and its cortical connections in vivo using functional and structural imaging.

Pattinson KT, Mitsis GD, Harvey AK, Jbabdi S, Dirckx S, Mayhew SD, Rogers R, Tracey I, Wise RG.

Neuroimage. 2009 Jan 15;44(2):295-305. doi: 10.1016/j.neuroimage.2008.09.007. Epub 2008 Sep 24.

PMID:
18926913
49.

Regions of interest analysis in pharmacological fMRI: how do the definition criteria influence the inferred result?

Mitsis GD, Iannetti GD, Smart TS, Tracey I, Wise RG.

Neuroimage. 2008 Mar 1;40(1):121-32. doi: 10.1016/j.neuroimage.2007.11.026. Epub 2007 Dec 3.

PMID:
18226552
50.

Nonlinear modeling of glucose metabolism: comparison of parametric vs. nonparametric methods.

Mitsis GD, Marmarelis VZ.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:5968-71.

PMID:
18003373

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