Theodora Afrantou
10 Papers
5 Citations
Theodora Afrantou is an academic researcher. The author has contributed to research in topics: Medicine & Dementia. The author has an hindex of 2, co-authored 6 publications.
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Papers
A Dataset of Scalp EEG Recordings of Alzheimer's Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG
Andreas Miltiadous,Katerina D. Tzimourta,Theodora Afrantou,Panagiotis Ioannidis,Nikolaos Grigoriadis,Dimitrios G. Tsalikakis,Pantelis Angelidis,Markos G. Tsipouras,E. Glavas,Nikolaos Giannakeas,Alexandros T. Tzallas +10 more
TL;DR: In this paper , the authors presented a detailed description of a resting-state EEG dataset of individuals with Alzheimer's disease and frontotemporal dementia, and healthy controls, collected using a clinical EEG system with 19 scalp electrodes while participants were in a resting state with their eyes closed.
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EEG-Neurofeedback as a Potential Therapeutic Approach for Cognitive Deficits in Patients with Dementia, Multiple Sclerosis, Stroke and Traumatic Brain Injury
TL;DR: In this paper , a review of EEG neurofeedback in memory rehabilitation in patients with dementia, multiple sclerosis, strokes and traumatic brain injury is presented, and the results from the studies show the effectiveness of the ΕΕG-NFB method in improving at least one cognitive domain, regardless of the number of sessions or the type of protocol applied.
Reader Response: Stroke Among SARS-CoV-2 Vaccine Recipients in Mexico: A Nationwide Descriptive Study
Panagiotis Stoiloudis,Dimitrios Parissis,Theodora Afrantou,Nikolaos Grigoriadis,Panagiotis Ioannidis +4 more
TL;DR: A 28-year-old man who was admitted to the authors' hospital with right-sided weakness on awakening was diagnosed with an acute ischemic stroke in the distribution of the left posterior cerebral artery after the second dose of the BNT162b2 vaccination against SARS-CoV-2.
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Enhanced Alzheimer's disease and Frontotemporal Dementia EEG Detection: Combining lightGBM Gradient Boosting with Complexity Features
Andreas Miltiadous,Katerina D. Tzimourta,Vasileios Aspiotis,Theodora Afrantou,Markos G. Tsipouras,Nikolaos Giannakeas,E. Glavas,Alexandros T. Tzallas +7 more
- 01 Jun 2023
TL;DR: In this paper , a classification pipeline consisting of Independent Component Analysis as a preprocessing stage, the extraction of time, frequency and complexity features, feature elimination through importance ranking and finally classification through utilizing Gradient Boosting Decision Trees was proposed.
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The Experience of a Tertiary Reference Hospital in the Study of Rare Neurological Diseases
Styliani-Aggeliki Sintila,Marina Boziki,Christos Bakirtzis,Thomai Stardeli,Nikoletta Smyrni,Ioannis Nikolaidis,Dimitrios Parissis,Theodora Afrantou,Theodoros Karapanayiotides,Ioanna Koutroulou,Virginia Giantzi,Paschalis Theotokis,Evangelia Kesidou,Georgia Xiromerisiou,Efthimios Dardiotis,Panagiotis Ioannidis,Nikolaos Grigoriadis +16 more
TL;DR: In this paper , the authors describe the clinical characteristics of, and the available laboratory examinations for, patients who were hospitalized in a tertiary referral center and finally received a diagnosis associated with a rare neurological disease (RND).