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Maria-Ioanna Stefanou

Researcher at University of Tübingen

Publications -  50
Citations -  409

Maria-Ioanna Stefanou is an academic researcher from University of Tübingen. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 6, co-authored 21 publications receiving 115 citations. Previous affiliations of Maria-Ioanna Stefanou include National and Kapodistrian University of Athens.

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Neurological manifestations of long-COVID syndrome: a narrative review

TL;DR: This narrative review seeks to present a comprehensive overview of current understanding of clinical features, risk factors, and pathophysiological processes of neurological ‘long-COVID’ sequelae, and proposes diagnostic and therapeutic algorithms that may aid in the prompt recognition and management of underlying causes of neurological symptoms that persist beyond the resolution of acute COVID-19.
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Phase synchronicity of μ-rhythm determines efficacy of interhemispheric communication between human motor cortices

TL;DR: The theory of communication through coherence predicts that effective connectivity between nodes in distributed oscillating neuronal network depends on their instantaneous excitability and phase relation, and this hypothesis was tested in healthy human subjects by real-time analysis of brain states by electroencephalography in combination with transcranial magnetic stimulation of left and right motor cortex.
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Cardiac Myxoma and Cerebrovascular Events: A Retrospective Cohort Study.

TL;DR: It is suggested that in patients with CM-related CVE, i.v. thrombolysis and/or endovascular interventions may present safe and efficacious acute treatments, and waiting- or bridging-interval with antithrombotic therapy until curative CM excision should be kept as short as possible.
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Long COVID and neuropsychiatric manifestations (Review)

TL;DR: Interdisciplinary cooperation for the early identification of patients who are at a high risk of persistent neuropsychiatric presentations, beyond COVID-19 recovery, is crucial to ensure that appropriate integrated physical and mental health support is provided, with the aim of mitigating the risks of long-term disability at a societal and individual level.
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Brain State-dependent Brain Stimulation with Real-time Electroencephalography-Triggered Transcranial Magnetic Stimulation

TL;DR: A newly developed method to synchronize the timing of brain stimulation with the phase of ongoing EEG oscillations using a real-time data analysis system is demonstrated and suggests that real- time information about the instantaneous brain state can be used for efficacious plasticity induction.