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Nicholas J Simos
Researcher at Foundation for Research & Technology – Hellas
Publications - 5
Citations - 38
Nicholas J Simos is an academic researcher from Foundation for Research & Technology – Hellas. The author has contributed to research in topics: Resting state fMRI & Medicine. The author has an hindex of 2, co-authored 5 publications receiving 7 citations. Previous affiliations of Nicholas J Simos include Technical University of Crete.
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Journal ArticleDOI
Quantitative Identification of Functional Connectivity Disturbances in Neuropsychiatric Lupus Based on Resting-State fMRI: A Robust Machine Learning Approach.
Nicholas J Simos,Stavros I. Dimitriadis,Eleftherios Kavroulakis,Georgios C. Manikis,George Bertsias,Panagiotis G. Simos,Panagiotis G. Simos,Thomas G. Maris,Thomas G. Maris,Efrosini Papadaki,Efrosini Papadaki +10 more
TL;DR: The validity of the results is further supported by significant associations of certain selected graph metrics with accumulated organ damage incurred by lupus, with visuomotor performance and mental flexibility scores obtained independently from NPSLE patients.
Proceedings ArticleDOI
Machine Learning Classification of Neuropsychiatric Systemic Lupus Erythematosus patients using resting-state fMRI functional connectivity
Nicholas J Simos,Georgios C. Manikis,Efrosini Papadaki,Eleftherios Kavroulakis,G. Bertsias,Kostas Marias +5 more
TL;DR: The robustness of machine learning algorithms for the classification of Neuropsychiatric systemic lupus erythematosus (NPSLE) patients and healthy controls using resting-state fMRI functional connectivity matrices is explored.
Journal ArticleDOI
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
Despina Antypa,Nicholas J Simos,Eleftherios Kavroulakis,George Bertsias,Antonis Fanouriakis,Prodromos Sidiropoulos,Dimitrios T. Boumpas,Efrosini Papadaki +7 more
TL;DR: In this article, the authors examined the hypothesis that perfusion and functional connectivity disturbances in brain areas implicated in emotional processing are linked to emotion-related symptoms in neuropsychiatric SLE (NPSLE).
Journal ArticleDOI
Changes in resting-state functional connectivity in neuropsychiatric lupus: A dynamic approach based on recurrence quantification analysis
Anastasia Pentari,Anastasia Pentari,George Tzagkarakis,Panagiotis Tsakalides,Panagiotis Tsakalides,Panagiotis G. Simos,Panagiotis G. Simos,George Bertsias,George Bertsias,Eleftherios Kavroulakis,Kostas Marias,Kostas Marias,Nicholas J Simos,Efrosini Papadaki,Efrosini Papadaki +14 more
TL;DR: In this article, the relative sensitivity of cross recurrence quantification analysis (CRQA) to identify aberrant functional brain connectivity in patients with systemic lupus erythematosus (NPSLE) in comparison with conventional static and dynamic bivariate FC measures, as well as univariate (nodal) RQA was assessed.
Journal ArticleDOI
Evidence of Age-Related Hemodynamic and Functional Connectivity Impairment: A Resting State fMRI Study.
Eleftherios Kavroulakis,Nicholas J Simos,Thomas G. Maris,Ioannis Zaganas,Simeon Panagiotakis,Efrosini Papadaki,Efrosini Papadaki +6 more
TL;DR: In this article, the authors used Resting-state functional MRI (rs-fMRI) time series to compute voxel-wise intrinsic connectivity contrast (ICC) maps reflecting the strength of functional connectivity between each Voxel and the rest of the brain.