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Selina C. Wriessnegger [7]Selina Wriessnegger [1]
  1.  16
    Short time sports exercise boosts motor imagery patterns: implications of mental practice in rehabilitation programs.Selina C. Wriessnegger, David Steyrl, Karl Koschutnig & Gernot R. Mã¼Ller-Putz - 2014 - Frontiers in Human Neuroscience 8.
  2.  6
    Frequency Specific Cortical Dynamics During Motor Imagery Are Influenced by Prior Physical Activity.Selina C. Wriessnegger, Clemens Brunner & Gernot R. Müller-Putz - 2018 - Frontiers in Psychology 9.
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  3.  23
    Knowledge of one’s kinematics improves perceptual discrimination.Elena Daprati, Selina Wriessnegger & Francesco Lacquaniti - 2007 - Consciousness and Cognition 16 (1):178-188.
    We tested the hypothesis that our ability to detect fine kinematics variations is tuned to reveal more subtle differences when the motion pattern belongs to the observer compared to another individual. To this purpose, we analyzed the responses of 15 subjects in a same-different task on pairs of movements, which could belong to one or two different subjects. Self vs. Other comparisons were obtained by presenting both the observer’s and another participant’s kinematics. Subjects responded faster and more accurately when they (...)
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  4.  7
    Inter- and Intra-individual Variability in Brain Oscillations During Sports Motor Imagery.Selina C. Wriessnegger, Gernot R. Müller-Putz, Clemens Brunner & Andreea I. Sburlea - 2020 - Frontiers in Human Neuroscience 14.
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  5.  22
    Limb Preference and Skill Level Dependence During the Imagery of a Whole-Body Movement: A Functional Near Infrared Spectroscopy Study.Selina C. Wriessnegger, Kris Unterhauser & Günther Bauernfeind - 2022 - Frontiers in Human Neuroscience 16.
    In the past years motor imagery turned out to be also an innovative and effective tool for motor learning and improvement of sports performance. Whereas many studies investigating sports MI focusing on upper or lower limbs involvement, knowledge about involved neural structures during whole-body movements is still limited. In the present study we investigated brain activity of climbers during a kinesthetic motor imagery climbing task with different difficulties by means of functional near infrared spectroscopy. Twenty healthy participants were split into (...)
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  6.  11
    Neural Suppression Elicited During Motor Imagery Following the Observation of Biological Motion From Point-Light Walker Stimuli.Alice Grazia, Michael Wimmer, Gernot R. Müller-Putz & Selina C. Wriessnegger - 2022 - Frontiers in Human Neuroscience 15.
    Introduction: Advantageous effects of biological motion detection, a low-perceptual mechanism that allows the rapid recognition and understanding of spatiotemporal characteristics of movement via salient kinematics information, can be amplified when combined with motor imagery, i.e., the mental simulation of motor acts. According to Jeannerod’s neurostimulation theory, asynchronous firing and reduction of mu and beta rhythm oscillations, referred to as suppression over the sensorimotor area, are sensitive to both MI and action observation of BM. Yet, not many studies investigated the use (...)
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  7.  10
    Corrigendum: Mental State Detection Using Riemannian Geometry on Electroencephalogram Brain Signals.Selina C. Wriessnegger, Philipp Raggam, Kyriaki Kostoglou & Gernot R. Müller-Putz - 2022 - Frontiers in Human Neuroscience 16.
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  8.  4
    Mental State Detection Using Riemannian Geometry on Electroencephalogram Brain Signals.Selina C. Wriessnegger, Philipp Raggam, Kyriaki Kostoglou & Gernot R. Müller-Putz - 2021 - Frontiers in Human Neuroscience 15.
    The goal of this study was to implement a Riemannian geometry -based algorithm to detect high mental workload and mental fatigue using task-induced electroencephalogram signals. In order to elicit high MWL and MF, the participants performed a cognitively demanding task in the form of the letter n-back task. We analyzed the time-varying characteristics of the EEG band power features in the theta and alpha frequency band at different task conditions and cortical areas by employing a RG-based framework. MWL and MF (...)
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