P. Anderer

ORCID: 0000-0002-3869-6678
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About
Contact & Profiles
Research Areas
  • Sleep and Wakefulness Research
  • EEG and Brain-Computer Interfaces
  • Sleep and related disorders
  • Functional Brain Connectivity Studies
  • Obstructive Sleep Apnea Research
  • Neuroscience and Neuropharmacology Research
  • Neural dynamics and brain function
  • Heart Rate Variability and Autonomic Control
  • Restless Legs Syndrome Research
  • Memory and Neural Mechanisms
  • Neuroscience of respiration and sleep
  • Non-Invasive Vital Sign Monitoring
  • Neural and Behavioral Psychology Studies
  • Treatment of Major Depression
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Epilepsy research and treatment
  • Circadian rhythm and melatonin
  • Neuroscience and Music Perception
  • Menopause: Health Impacts and Treatments
  • Sleep and Work-Related Fatigue
  • Attention Deficit Hyperactivity Disorder
  • Neurological Disorders and Treatments
  • Olfactory and Sensory Function Studies
  • High Altitude and Hypoxia
  • Neurological disorders and treatments

Siesta Group (Austria)
2007-2025

Philips (India)
2021-2023

Medical University of Vienna
2007-2019

Karger Publishers (Switzerland)
2015

Rudolfinerhaus Hospital
2001-2010

Klinik und Poliklinik für Psychiatrie und Psychotherapie
2010

University of Vienna
1997-2007

University of Liège
2007

Vienna General Hospital
1996-1997

Universitätszahnklinik Wien
1986-1995

ABSTRACT The P300 ERP was measured in 10 subjects each for 9 days. selection of instructions subjects, the recording technique, elimination a few single trials significantly contaminated by eye movements, and use correction procedure ocular artifacts with calculable reliability validity resulted set data, which 94% were suitable further analysis. relies on regression To reduce coherence between eyeblink activity ongoing EEG, VEOG EEG are averaged eyeblinks. This yields high factors,...

10.1111/j.1469-8986.1986.tb00696.x article EN Psychophysiology 1986-11-01

Functional significance of stage 2 sleep spindle activity for declarative memory consolidation. Randomized, within-subject, multicenter. Weekly laboratory visits, actigraphy, and diary (4 weeks). Twenty-four healthy subjects (12 men) aged between 20 30 years. Declarative task or nonlearning control before sleep. This study measured during following a (declarative) word-pair association as compared to task. Participants performed cued recall in the evening after learning (160 word pairs) well...

10.1093/sleep/27.7.1479 article EN SLEEP 2004-12-01

Interrater variability of sleep stage scorings has an essential impact not only on the reading polysomnographic studies (PSGs) for clinical trials but also evaluation patients' sleep. With introduction a new standard (AASM standard) there is need interrater reliability (IRR). The SIESTA database resulting from EU-funded project provides large number (n = 72; 56 healthy controls and 16 subjects with different disorders, mean age +/- SD: 57.7 18.7, 34 females) which according to both standards...

10.1111/j.1365-2869.2008.00700.x article EN Journal of Sleep Research 2009-02-24

To investigate differences between visual sleep scoring according to the classification developed by Rechtschaffen and Kales (R&K, 1968) based on new guidelines of American Academy Sleep Medicine (AASM, 2007). All-night polysomnographic recordings were scored visually R&K AASM rules experienced scorers. Descriptive data analysis was used compare resulting parameters. Healthy subjects patients (38 females 34 males) aged 21 86 years. N/A While latency REM latency, total time, efficiency not...

10.1093/sleep/32.2.139 article EN SLEEP 2009-02-01

To date, the only standard for classification of sleep-EEG recordings that has found worldwide acceptance are rules published in 1968 by Rechtschaffen and Kales. Even though several attempts have been made to automate process, so far no method proven its validity a study including sufficiently large number controls patients all adult age ranges. The present paper describes development optimization an automatic system is based on one central EEG channel, two EOG channels chin EMG channel. It...

10.1159/000085205 article EN Neuropsychobiology 2005-01-01

Abstract Stage 2 sleep spindles have been previously viewed as useful markers for the development and integrity of CNS were more currently linked to ‘offline re‐processing’ implicit well explicit memory traces. Additionally, it had discussed if might be related a general learning or cognitive ability. In present multicentre study we examined relationship automatically detected slow (< 13 Hz) fast (> stage with: (i) Raven's Advanced Progressive Matrices (testing ‘general ability’); (ii)...

10.1111/j.1460-9568.2006.04694.x article EN European Journal of Neuroscience 2006-04-01

The application of an automatic sleep spindle detection procedure allowed the documentation topographic distribution characteristics, such as number, amplitude, frequency and duration, a function depth recording time. Multichannel all‐night EEG recordings were performed in 10 normal healthy subjects aged 20–35 years. Although interindividual variability number spindles was very high (2.7±2.1 per minute stage 2 sleep), all but two showed maximal activity centro‐parietal midline leads....

10.1046/j.1365-2869.1997.00046.x article EN Journal of Sleep Research 1997-09-01

Aging and Alzheimer's disease (AD) are both characterized by memory impairments sleep changes. We investigated the potential link between these disturbances, focusing on spindles, involved in consolidation. Two episodic tasks were given to young old healthy participants, as well AD patients. Postlearning was recorded. Sleep spindles globally reduced aging AD. patients also exhibited a further decrease fast spindles. Besides, mean intensity of positively correlated, patients, with immediate...

10.1097/wnr.0b013e32830867c4 article EN Neuroreport 2008-07-16

To test whether instrumental conditioning of sensorimotor rhythm (SMR; 12-15 Hz) has an impact on sleep parameters as well declarative memory performance in humans. Randomized, parallel group design 10 sessions, pre- and posttreatment investigation including evaluations 27 healthy subjects (13 male) SMR-conditioning (experimental group) or randomized-frequency (control group); task before after a 90-min nap The experimental was trained to enhance the amplitude their SMR-frequency range,...

10.5665/sleep/31.10.1401 article EN SLEEP 2008-10-01

Abstract Automated sleep stage classification using heart rate variability (HRV) may provide an ergonomic and low-cost alternative to gold standard polysomnography, creating possibilities for unobtrusive home-based monitoring. Current methods however are limited in their ability take into account long-term architectural patterns. A long short-term memory (LSTM) network is proposed as a solution model cardiac architecture information validated on comprehensive data set (292 participants, 584...

10.1038/s41598-019-49703-y article EN cc-by Scientific Reports 2019-10-02

Unobtrusive home sleep monitoring using wrist-worn wearable photoplethysmography (PPG) could open the way for better disorder screening and health monitoring. However, PPG is rarely included in large studies with gold-standard annotation from polysomnography. Therefore, training data-intensive state-of-the-art deep neural networks challenging. In this work a recurrent network first trained data set electrocardiogram (ECG) (292 participants, 584 recordings) to perform 4-class stage...

10.1038/s41746-021-00510-8 article EN cc-by npj Digital Medicine 2021-09-15

To quantify the amount of sleep stage ambiguity across expert scorers and to validate a new auto-scoring platform against staging performed by multiple scorers.We applied system three datasets containing 95 PSGs scored 6-12 scorers, compare probabilities (hypnodensity; i.e. probability each being assigned given epoch) as primary output, well single per epoch hierarchical majority rule.The percentage epochs with 100% agreement was 46 ± 9%, 38 10% 32 9% for 6, 9, 12 respectively. The mean...

10.1093/sleep/zsac154 article EN cc-by SLEEP 2022-07-03

<i>Background:</i> In 2007, the <i>AASM Manual for Scoring of Sleep and Associated Events</i> was published by American Academy Medicine (AASM). Concerning visual classification sleep stages, these new rules are intended to replace Rechtschaffen Kales (R&K). <i>Methods:</i> We adapted automatic R&K scoring system Somnolyzer 24 × 7 comply with AASM subsequently performed a validation study based on 72 polysomnographies from Siesta database...

10.1159/000320864 article EN Neuropsychobiology 2010-01-01

<i>Ayahuasca,</i> a South American psychotropic plant tea obtained from <i>Banisteriopsis caapi</i> and <i>Psychotria viridis</i>, combines monoamine oxidase-inhibiting β-carboline alkaloids with N,N-dimethyltryptamine (DMT), psychedelic agent showing 5-HT<sub>2A</sub> agonist activity. In clinical research setting, <i>ayahuasca</i> has demonstrated combined stimulatory effect profile, as measured by subjective self-assessment...

10.1159/000077946 article EN Neuropsychobiology 2004-01-01

Earlier investigations suggested an involvement of the right hemisphere and left prefrontal cortex (PFC) in pathogenesis depression. This paper presents our own electroencephalographic (EEG) topography low-resolution brain electromagnetic tomography (LORETA) data obtained unmedicated depressed patients, effects two representative drugs non-sedative sedative antidepressants, i.e., citalopram (CIT) imipramine (IMI), as compared with placebo normal subjects. Sixty female menopausal syndrome...

10.1177/155005941004100407 article EN Clinical EEG and Neuroscience 2010-10-01

Abstract Study Objectives To validate a previously developed sleep staging algorithm using heart rate variability (HRV) and body movements in an independent broad cohort of unselected disordered patients. Methods We applied designed for automatic long short-term memory recurrent neural networks to model architecture. The classifier uses 132 HRV features computed from electrocardiography activity counts accelerometry. retrained our two public datasets containing both healthy sleepers then...

10.1093/sleep/zsaa048 article EN SLEEP 2020-04-06
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