
Liliia Roshchupkina- Doctor of Philosophy
- Researcher at Université Libre de Bruxelles
Liliia Roshchupkina
- Doctor of Philosophy
- Researcher at Université Libre de Bruxelles
About
14
Publications
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Introduction
My primary research interest lies in exploring the modulation of human brain dynamics during resting states across wakefulness and sleep, particularly as they relate to the process of motor memory consolidation. To track neural activity, I have utilized advanced neuroimaging techniques such as high-density electroencephalography (EEG) and magnetoencephalography (MEG). Furthermore, I am intrigued by the potential of non-invasive brain stimulation methods, including (tACS/tDCS and TMS).
Current institution
Publications
Publications (14)
Sleep is one of life’s fundamental requirements, and like oxygen, water, and food, human beings simply cannot live without it. Sleep is essential for tissue repair, metabolism, growth, infection control, and learning, memory, and emotional regulation. In many ways sleep is nature’s medicine; it is what nature has provided to deliver daytime functio...
Motor skills dynamically evolve during practice and after training. Using magnetoencephalography, we investigated the neural dynamics underpinning motor learning and its consolidation in relation to sleep during resting-state periods after the end of learning (boost window, within 30 min) and at delayed time scales (silent 4 h and next day 24 h win...
Learning and consolidation of motor skills dynamically evolve both online during practice and offline after training. We investigated using magnetoencephalography the neural dynamics underpinning motor learning and its consolidation in relation to sleep during resting-state periods shortly after the end of learning (short-term boost window, within...
Motor learning features rapid enhancement during practice then offline post-practice gains with the reorganization of related brain networks. We hypothesised that fast transient, sub-second variations in magnetoencephalographic (MEG) network activity during the resting-state (RS) reflect early learning-related plasticity mechanisms and/or interindi...
State modeling of whole-brain electroencephalography (EEG) or magnetoencephalography (MEG) allows to investigate transient, recurring neurodynamical events. Two widely-used techniques are the microstate analysis of EEG signals and hidden Markov modeling (HMM) of MEG power envelopes. Both reportedly lead to similar state lifetimes on the 100 ms time...
State modeling of whole-brain electroencephalography (EEG) or magnetoencephalography (MEG) allows to investigate transient, recurring neurodynamical events. Two widely-used techniques are the microstate analysis of EEG signals and hidden Markov modeling (HMM) of MEG power envelopes. Both reportedly lead to similar state lifetimes on the 100 ms time...
How does sleep affect our brain functioning, and what happens when we do not receive our necessary “portion” of sleep? It is a well-known fact that sleep is essential for restoration of body and mind efficiency, while a lack of appropriate sleep adversely impacts mood, motor functions, and cognition, eventually affecting the quality of everyday lif...
‘Management of Sleep Disorders in Psychiatry’ provides an in-depth and evidence-based review of sleep-wake disorders included in Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) that are associated with a range of psychiatric disorders including mood, anxiety, psychotic, neurocognitive, eating, and substance use disorders....
The consolidation of motor memory is a non-linear temporal dynamic. There are critical time points at which post-training performance can improve (e.g., 30 min and 24 h) or merely stabilize (e.g., 4 h). Besides, neuronal plasticity is supported by synchronized oscillatory activity in and between brain areas at play during the acquisition and consol...
Human brain activity is not merely responsive to environmental context but includes intrinsic dynamics, as suggested by the discovery of functionally meaningful neural networks at rest, i.e., even without explicit engagement of the corresponding function. Yet, the neurophysiological coupling mechanisms distinguishing intrinsic (i.e., task-invariant...
Magnetoencephalography (MEG) has been used in conjunction with resting-state functional connectivity (rsFC) based on band-limited power envelope correlation to study the intrinsic human brain network organization into resting-state networks (RSNs). However, the limited availability of current MEG systems hampers the clinical applications of electro...