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Ameen et al. (2024). Post-training sleep modulates motor adaptation and task-related beta oscillations

1 file(s) 2.84 MB
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Hinterberger et al. (2024). Investigating the subjective and objective efficacy of a cognitive behavioural therapy for insomnia (CBT-I)-based smartphone app on sleep: A randomised controlled trial

1 file(s) 1.92 MB
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Hödlmoser et al. (2024). „Sleep tight, wake up bright“

1 file(s) 1.06 MB
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Höhn et al. (2024). Effects of evening smartphone use on sleep and declarative memory consolidation in male adolescents and young adults

1 file(s) 5.12 MB
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Höhn et al. (2024). Spectral Slope and Lempel–Ziv Complexity as Robust Markers of Brain States during Sleep and Wakefulness

1 file(s) 4.85 MB
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Grünberger, et al. (2024). Efficacy study comparing a CBT-I developed for shift workers (CBT-I-S) to standard CBT-I (cognitive behavioural therapy for insomnia) on sleep onset latency, total sleep time, subjective sleep quality, and daytime sleepiness: study protocol for a parallel group randomised controlled trial with online therapy groups of seven sessions each

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Eigl et al. (2023). A low-threshold sleep intervention for improving sleep quality and well-being

1 file(s) 939.88 KB
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Eigl et al. (2023). On the Efficacy of a CBT-I-Based Online Program for Sleep Problems: A Randomized Controlled Trial

1 file(s) 1.63 MB
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Florea et al. (2023). Birth and early parenting during the COVID-19 pandemic: A cross-sectional study in the Austrian and German population

1 file(s) 951.02 KB
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Frytz et al. (2023). Soccer, Sleep, Repeat: Effects of Training Characteristics on Sleep Quantity and Sleep Architecture

1 file(s) 2.89 MB
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Hödlmoser et al. (2023). Schlafberatung für Kinder und Jugendliche

1 file(s) 1.21 MB
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Joechner et al. (2023). Sleep spindle maturity promotes slow oscillation-spindle coupling across child and adolescent development

1 file(s) 5.66 MB
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Plamberger et al. (2023). Fronto-parietal alpha ERD and visuo-spatial attention in pregnant women

1 file(s) 3.20 MB
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Topalidis et al. (2023). The Virtual Sleep Lab—A Novel Method for Accurate Four-Class Sleep Staging Using Heart-Rate Variability from Low-Cost Wearables

1 file(s) 686.33 KB
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Topalidis et al. (2023). From Pulses to Sleep Stages: Towards Optimized Sleep Classification Using Heart-Rate Variability

1 file(s) 1.13 MB
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Ameen et al. (2022). The brain selectively tunes to unfamiliar voices during sleep.

1 file(s) 3.65 MB
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Angerer et al. (2022). From dawn to dusk - mimicking natural daylight exposure improves circadian rhythm entrainment in patients with severe brain injury.

1 file(s) 3.55 MB
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Angerer et al. (2022). Does the heart fall asleep? - Diurnal variations in heart rate variability in patients with disorders of consciousness.

1 file(s) 2.67 MB
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Bothe et al. (2022). Self‑reported changes in sleep patterns and behavior in children and adolescents during COVID‑19

1 file(s) 2.04 MB
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Eigl et al. (2022). Burdens and psychosocial consequences of the COVID-19 pandemic for Austrian children and adolescents

1 file(s) 1.95 MB
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Hahn et al. (2022). Slow oscillation-spindle coupling predicts enhanced memory formation from childhood to adolescence.

1 file(s) 2.36 MB
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Mota et al. (2022). Imagetic and affective measures of memory reverberation diverge at sleep onset in association with theta rhythm.

1 file(s) 2.74 MB
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Schabus et al. (2022). The coronavirus pandemic: Psychosocial burden, risk-perception, and attitudes in the Austrian population and its relation to media comsumption

1 file(s) 246.88 KB
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Wislowska et al. (2022). Sleep-specific processing of auditory stimuli is reflected by alpha and sigma oscillations

1 file(s) 7.58 MB
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Schabus & Eigl (2021). „Jetzt Sprichst Du!“ Belastungen und psychosoziale Folgen der Coronapandemie für österreichische Kinder und Jugendliche

1 file(s) 2.19 MB
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Schabus, M., & Eigl, E. (2021, July 23). Survey on “Knowledge and Attitudes Regarding the Coronavirus Pandemic” in the Austrian, German and Swiss population.

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Schabus, M., & Eigl, E. (2021, July 23). “Now it’s your turn to speak up!” - Burdens and Psychosocial Consequences of the COVID-19 pandemic for Austrian Children and Adolescents.

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Wielek et al. (2021). Decoding Brain Responses to Names and Voices across Different Vigilance States.

1 file(s) 4.32 MB
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Topalidis et al. (2021). Evaluation of a Low-Cost Commercial Actigraph and Its Potential Use in Detecting Cultural Variations in Physical Activity and Sleep.

1 file(s) 1.98 MB
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Florea et al. (2021). Sleep during COVID-19 lockdown: A cross-cultural study investigating job system relevance.

1 file(s) 1.77 MB
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Plamberger et al. (in press). Impact of menstrual cycle phase and oral contraceptives on sleep and overnight memory consolidation.

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Werner et al. (2021). Differential Effects of REM Sleep on Emotional Processing: Initial Evidence for Increased Short-term Emotional Responses and Reduced Long-term Intrusive Memories

1 file(s) 1.99 MB
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Hödlmoser (2020). Sleep and Memory in Children.

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Hödlmoser (2020). Co-evolution of sleep spindles, learning and memory in children.

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Bothe et al. (2020). Gross motor adaptation benefits from sleep after training.

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Blume et al. (2020). “How does Austria sleep?” self-reported sleep habits and complaints in an online survey.

1 file(s) 545.41 KB
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Van Schalkwijk et. al (2020). Procedural memory consolidation is associated with heart rate variability and sleep spindles

1 file(s) 554.33 KB
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Lang et al. (2020). Memory Traces Formed in Utero—Newborns’ Autonomic and Neuronal Responses to Prenatal Stimuli and the Maternal Voice.

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Lang et al. (2020). Sleep, Little Baby: The Calming Effects of Prenatal Speech Exposure on Newborns’ Sleep and Heartrate.

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Hahn et al. (2020). Slow oscillation-spindle coupling predicts enhanced memory formation from childhood to adolescence.

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Angerer et al. (2020). Actigraphy in brain-injured patients – A valid measurement for assessing circadian rhythms?

1 file(s) 1.40 MB
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Blume, C. & Schabus, M. (2020). Perspective: Daylight Saving Time—An Advocacy for a Balanced View and against Fanning Fear

1 file(s) 500.78 KB
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Wielek et al. (2019). On the development of sleep states in the first weeks of life.

1 file(s) 1.35 MB
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Blume et al. (2019). Wie schläft Österreich? Ergebnisse aus einer Umfrage zu Schlafgewohnheiten und Schlafproblemen

1 file(s) 263.55 KB
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Ameen et al. (2019). About the Accuracy and Problems of Consumer Devices in the Assessment of Sleep

1 file(s) 922.87 KB
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Rassi et al. (2019). Coupling and Decoupling between Brain and Body Oscillations

1 file(s) 1.11 MB
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Jegou et al. (2019). Cortical reactivations during sleep spindles following declarative learning.

1 file(s) 1.28 MB
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Joechner, A. & Hödlmoser, K. (2019). Lebenselixier Schlaf.

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Hödlmoser (2019). Süßer (und lebenswichtiger) Schlaf.

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Bothe et al. (2019). The impact of sleep on complex gross-motor adaptation in adolescents.

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Blume et al. (2019). Healthier rhythm. Healthier Brain? Integrity of Circadian Melatonin and Temperature Rhythms Relates to the Clinical State of Brain-Injured Patients.

1 file(s) 579.87 KB
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Hahn, M., Joechner, A.-K., Roell, J., Schabus, M., Heib, D.P.J., Gruber, G., Peigneux, P., & Hoedlmoser, K. (2019). Developmental changes of sleep spindles and their impact on sleep-dependent memory consolidation and general cognitive abilities: A longitudinal approach.

1 file(s) 1.03 MB
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van Schalkwijk et al. (in press). The impact of sleep characteristics and epilepsy variables on memory performance in patients with focal seizures.

1 file(s) 428.15 KB
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Schabus et al. (2018). Sleep and circadian rhythms in severely brain-injured patients - A comment

1 file(s) 205.61 KB
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Wislowska et al. (2018). Approaches to Sleep in Brain Damaged Patients – Reply to Kotchoubey & Pavlov

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Wislowska & Schabus (2018). What Can We Learn About Brain Functions from Sleep EEG? Insights from Sleep of DOC Patients

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Blume et al. (2018). Standing sentinel during human sleep: Continued evaluation of environmental stimuli in the absence of consciousness

1 file(s) 2.73 MB
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Schabus, M.(2018). Reply: Noisy but not placebo: defining metrics for effects of neurofeedback

1 file(s) 147.86 KB
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Hoedlmoser, K. & Joechner, A.-K. (2018). Schlafstörungen – Unterschätztes Schlummern.

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Hoedlmoser, K. (2018). Sleep to be an All-Star! Make sleep a priority in your daily training.

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Hahn, M., & Hoedlmoser, K. (2018). Altersbedingte Veränderung schlafspezifischer Gehirnoszillation.

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Wielek et al. (2018). Sleep in patients with disorders of consciousness characterized by means of machine learning.

1 file(s) 3.69 MB
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van Schalkwijk et al. (2017). The effect of daytime napping and full-night sleep in the consolidation of declarative and procedural information.

1 file(s) 169.84 KB
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Schabus, M. (2017). Reply: On assessing neurofeedback effects: should double-blind replace neurophysiological mechanisms?

1 file(s) 269.21 KB
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Schabus et. al (2017). Better than sham? A double-blind placebo-controlled neurofeedback study in primary insomnia.

1 file(s) 866.58 KB
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Wislowska et al. (2017). Night and day variations of sleep in patients with disorders of consciousness.

1 file(s) 2.39 MB
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Wislowska et al. (2017). Night and day variations of sleep in patients with disorders of consciousness - supplementary materials

1 file(s) 1.49 MB
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Sleep – Publications

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Schabus et al. (2016) Lernen wie im Schlaf

1 file(s) 282.31 KB
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Werner et al. (2016) Cardiac Vagal Control and Depressive Symptoms: The Moderating Role of Sleep Quality

1 file(s) 453.67 KB
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Wislowska et al. (2016) Individual baseline memory performance and its significance for sleep-dependent memory consolidation

1 file(s) 838.44 KB
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Hoedlmoser et al. (2015) The impact of diurnal sleep on the consolidation of a complex gross motor adaptation task

1 file(s) 308.35 KB
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Lechinger et al. (2015) Heartbeat-related EEG amplitude and phase modulations from wakefulness to deep sleep: Interactions with sleep spindles and slow oscillations

1 file(s) 2.16 MB
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Hoedlmoser et al. (2014) Slow Sleep Spindle Activity, Declarative Memory, and General Cognitive Abilities in Children

1 file(s) 1.62 MB
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Schabus et al. (2014) Informationsbahnung temporärer und dauerhafter Muster im Schlaf

1 file(s) 4.32 MB
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Schabus et al. (2014) Enhancing sleep quality and memory in insomnia using instrumental sensorimotor rhythm conditioning

1 file(s) 1.31 MB
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Voinescu et al. (2014) Assessment of SOMNOwatch plus EEG for sleep monitoring in healthy individuals

1 file(s) 325.07 KB
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Boly et al. (2012) Hierarchical clustering of brain activity during human nonrapid eye movement sleep

1 file(s) 271.97 KB
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Schmidt et al. (2012) Circadian Preference Modulates the Neural Substrate of Conflict Processing across the Day

1 file(s) 766.43 KB
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Darsaud et al. (2011) Neural Precursors of Delayed Insight

1 file(s) 439.40 KB
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Mascetti et al. (2011) Spontaneous neural activity during human non-rapid eye movement sleep

1 file(s) 1.33 MB
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Cologan et al. (2010) Sleep in disorders of consciousness

1 file(s) 237.30 KB
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Cologan et al. (2010) Sleep in disorders of consciousness

1 file(s) 237.30 KB
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Darsaud et al. (2010) Neural Precursors of Delayed Insight

1 file(s) 442.01 KB
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Darsaud et al. (2010) Does Sleep Promote False Memories?

1 file(s) 828.10 KB
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Hoedlmoser et al. (2010) Self-reported sleep patterns, sleep problems, and behavioral problems among school children aged 8–11 years

1 file(s) 459.16 KB
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Schmidt et al. (2010) Young poor sleepers mobilize extra effort in an easy memory task: evidence from cardiovascular measures

1 file(s) 323.13 KB
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Dang-Vu et al. (2009) Sleep: Implications for Theories of Dreaming and Consciousness

1 file(s) 1.19 MB
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Hoedlmoser et al. (2009) Non-Pharmacological Alternatives for the Treatment of Insomnia – Instrumental EEG Conditioning, a New Alternative?

1 file(s) 619.23 KB
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Leclercq et al. (2009) Rejection of pulse related artefact (PRA) from continuous electroencephalographic (EEG) time series recorded during functional magnetic resonance imaging (fMRI) using constraint independent component analysis (cICA)

1 file(s) 2.60 MB
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Schabus (2009) Still Missing Some Significant Ingredients

1 file(s) 320.96 KB
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Schmidt et al. (2009) Homeostatic Sleep Pressure and Responses to Sustained Attention in the Suprachiasmatic Area

1 file(s) 389.73 KB
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Schmitz et al. (2009) Recurrent boosting effects of short inactivity delays on performance: an ERPs study

1 file(s) 641.00 KB
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Dang-Vu et al. (2008) Spontaneous neural activity during human slow wave sleep

1 file(s) 1.03 MB
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Desseilles et al. (2008) Neuroimaging Insights into the Pathophysiology of Sleep Disorders

1 file(s) 1.45 MB
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Hoedlmoser et al. (2008) Instrumental Conditioning of Human Sensorimotor Rhythm (12-15 Hz) and Its Impact on Sleep as Well as Declarative Learning

1 file(s) 524.97 KB
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Rauchs et al. (2008) Is there a link between sleep changes and memory in Alzheimer’s disease?

1 file(s) 187.28 KB
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Schabus et al. (2008) Interindividual sleep spindle differences and their relation to learning-related enhancements

1 file(s) 1.06 MB
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Dang-Vu & Schabus (2007) The New Science of Dreaming

1 file(s) 2.37 MB
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Gais et al. (2007) Sleep transforms the cerebral traces of declarative memories

1 file(s) 370.90 KB
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Schabus et al. (2007) Hemodynamic cerebral correlates of sleep spindles during human non-rapid eye movement sleep

1 file(s) 739.39 KB
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Sterpenich et al. (2007) Sleep-Related Hippocampo-Cortical Interplay during Emotional Memory Recollection

1 file(s) 3.14 MB
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Berner et al. (2006) The Significance of Sigma Neurofeedback Training on Sleep Spindles and Aspects of Declarative Memory

1 file(s) 346.02 KB
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Schabus et al. (2006) Sleep spindle-related activity in the human EEG and its relation to general cognitive and learning abilities

1 file(s) 571.73 KB
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Schabus et al. (2005) Influence of Midday Naps on Declarative Memory Performance and Motivation

1 file(s) 138.52 KB
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Dang-Vu et al. (2005) Dreaming: a neuroimaging view

1 file(s) 484.40 KB
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Schabus et al. (2004) Sleep Spindles and Their Significance for Declarative Memory Consolidation

1 file(s) 920.15 KB
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Disorders of Consciousness – Publications

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del Giudice et al. ( 2016). The voice of anger: oscillatory EEG responses to emotional prosody.

1 file(s) 4.10 MB
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Blume et al. (2016) Preferential processing of emotionally and self-relevant stimuli persists in unconscious N2 sleep

1 file(s) 1.45 MB
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del Giudice et al. (2016) Can self-relevant stimuli help assessing patients with disorders of consciousness?

1 file(s) 1.15 MB
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Blume et al. (2015) Across the consciousness continuum- from unresponsive wakefulness to sleep

1 file(s) 653.85 KB
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Blume et al. (2015) EEG oscillations reflect the complexity of social interactions in a non- verbal social cognition task using animated triangles

1 file(s) 3.55 MB
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del Giudice et al. (2014) Oscillatory brain responses to own names uttered by unfamiliar and familiar voices

1 file(s) 5.51 MB
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Schabus (2014) Current neuroscientific progress in disorders of consciousness research

1 file(s) 433.66 KB
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Wislowska et al. (2014) Searching for Neuronal Correlates of Consciousness – What Do We Learn from Coma and Disorders of Consciousness

1 file(s) 290.33 KB
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Lechinger et al. (2013) Mirroring of a simple motor behavior in Disorders of Consciousness

1 file(s) 738.84 KB
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Lechinger et al. (2013) CRS-R score in disorders of consciousness is strongly related to spectral EEG at rest

1 file(s) 326.68 KB
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Demertzi et al. (2011) Wachkoma: medizinische Grundlagen und neurowissenschaftliche Revolution

1 file(s) 884.51 KB
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Fellinger et al. (2011) Cognitive processes in disorders of consciousness as revealed by EEG time–frequency analyses

1 file(s) 570.99 KB
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Schabus et al. (2011) Oscillatory brain activity in vegetative and minimally conscious state during a sentence comprehension task

1 file(s) 148.77 KB
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Cologan et al. (2010) Sleep in disorders of consciousness

1 file(s) 237.30 KB
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Vanhaudenhuyse et al. (2010) Two Distinct Neuronal Networks Mediate the Awareness of Environment and of Self

1 file(s) 208.35 KB
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Schnakers et al. (2009) Detecting consciousness in a total locked-in syndrome: An active event-related paradigm

1 file(s) 222.98 KB
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Boly et al. (2008) Intrinsic Brain Activity in Altered States of Consciousness: How Conscious Is the Default Mode of Brain Function?

1 file(s) 290.16 KB
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Schnakers et al. (2008) Voluntary brain processing in disorders of consciousness

1 file(s) 417.71 KB
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Laureys et al. (2006) How should functional imaging of patients with disorders of consciousness contribute to their clinical rehabilitation needs?

1 file(s) 326.17 KB
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Perrin et al. (2006) Brain Response to One’s Own Name in Vegetative State, Minimally Conscious State, and Locked-in Syndrome

1 file(s) 182.51 KB
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Other Publications

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Blume et al. (2016) ‘nparACT’ package for R: A free software tool for the non-parametric analysis of actigraphy data

1 file(s) 395.75 KB
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Lechinger et al. (2016) Event-related EEG power modulations and phase connectivity indicate the focus of attention in an auditory own name paradigm

1 file(s) 2.56 MB
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Sterzer et al. (2015) Intentional Updating in Episodic Memory: Low Testosterone associates with enhanced Memory Updating

1 file(s) 97.37 KB
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File et al. (2014). Ansätze zur empirischen Forschung der Klientenzentrierten Psychotherapie in Österreich

1 file(s) 624.91 KB
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Gruber et al. (2014) Alpha phase, temporal attention, and the generation of early event related potentials

1 file(s) 2.57 MB
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Schabus et al. (2011) Der Personzentrierte Psychotherapieansatz und die Wissenschaft

1 file(s) 377.44 KB
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Vanhaudenhuyse et al. (2011) Two Distinct Neuronal Networks Mediate the Awareness of Environment and of Self

1 file(s) 208.35 KB
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Vandewalle et al. (2010) Spectral quality of light modulates emotional brain responses in humans

1 file(s) 406.59 KB
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Desseilles et al. (2009) Abnormal Neural Filtering of Irrelevant Visual Information in Depression

1 file(s) 320.93 KB
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Leclercq et al. (2009) Rejection of pulse related artefact (PRA) from continuous elec- troencephalographic (EEG) time series recorded during func- tional magnetic resonance imaging (fMRI) using constraint in- dependent component analysis (cICA)

1 file(s) 626.68 KB
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Schmitz et al. (2009) Recurrent boosting effects of short inactivity delays on performance: an ERPs study

1 file(s) 641.00 KB
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Vandewalle et al. (2007) Wavelength-Dependent Modulation of Brain Responses to a Working Memory Task by Daytime Light Exposure

1 file(s) 425.03 KB
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Hanslmayr et al. (2005) Increasing Individual Upper Alpha Power by Neurofeedback Improves Cognitive Performance in Human Subjects1

1 file(s) 300.85 KB
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Sauseng et al. (2005) A shift of visual spatial attention is selectively associated with human EEG alpha activity

1 file(s) 403.27 KB
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Sauseng et al. (2005) Fronto-parietal EEG coherence in theta and upper alpha reflect central executive functions of working memory

1 file(s) 435.41 KB
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Klimesch et al. (2004) Evoked Oscillations And Early Components of Event-Related Potentials: an Analysis

1 file(s) 455.23 KB
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Klimesch et al. (2004) Phase-locked alpha and theta oscillations generate the P1–N1 complex and are related to memory performance

1 file(s) 710.06 KB
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Sauseng et al. (2004) Theta coupling in the human electroencephalogram during a working memory task

1 file(s) 138.94 KB
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Sauseng et al. (2002) The interplay between theta and alpha oscillations in the human electroencephalogram reflects the transfer of information between memory systemsq

1 file(s) 253.57 KB
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