Search Results - "Engemann, Denis"
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Autoreject: Automated artifact rejection for MEG and EEG data
Published in NeuroImage (Orlando, Fla.) (01-10-2017)“…We present an automated algorithm for unified rejection and repair of bad trials in magnetoencephalography (MEG) and electroencephalography (EEG) signals. Our…”
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MNE software for processing MEG and EEG data
Published in NeuroImage (Orlando, Fla.) (01-02-2014)“…Magnetoencephalography and electroencephalography (M/EEG) measure the weak electromagnetic signals originating from neural currents in the brain. Using these…”
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Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals
Published in NeuroImage (Orlando, Fla.) (01-03-2015)“…Magnetoencephalography and electroencephalography (M/EEG) measure non-invasively the weak electromagnetic fields induced by post-synaptic neural currents. The…”
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Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states
Published in NeuroImage (Orlando, Fla.) (15-11-2020)“…Predicting biomedical outcomes from Magnetoencephalography and Electroencephalography (M/EEG) is central to applications like decoding,…”
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A reusable benchmark of brain-age prediction from M/EEG resting-state signals
Published in NeuroImage (Orlando, Fla.) (15-11-2022)“…•We provide systematic reusable benchmarks for brain age from M/EEG signals•The benchmarks were carried out on M/EEG from four countries > 2500 recordings•We…”
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Uncovering the structure of clinical EEG signals with self-supervised learning
Published in Journal of neural engineering (01-08-2021)“…Supervised learning paradigms are often limited by the amount of labeled data that is available. This phenomenon is particularly problematic in…”
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Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers
Published in eLife (19-05-2020)“…Electrophysiological methods, that is M/EEG, provide unique views into brain health. Yet, when building predictive models from brain data, it is often unclear…”
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Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines
Published in NeuroImage (Orlando, Fla.) (15-01-2017)“…Decoding, i.e. prediction from brain images or signals, calls for empirical evaluation of its predictive power. Such evaluation is achieved via…”
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Robust EEG-based cross-site and cross-protocol classification of states of consciousness
Published in Brain (London, England : 1878) (01-11-2018)“…See Sokoliuk and Cruse (doi:10.1093/brain/awy267) for a scientific commentary on this article. Detecting awareness in patients who recover from coma but remain…”
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MEG and EEG data analysis with MNE-Python
Published in Frontiers in neuroscience (26-12-2013)“…Magnetoencephalography and electroencephalography (M/EEG) measure the weak electromagnetic signals generated by neuronal activity in the brain. Using these…”
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A Reproducible MEG/EEG Group Study With the MNE Software: Recommendations, Quality Assessments, and Good Practices
Published in Frontiers in neuroscience (06-08-2018)“…Cognitive neuroscience questions are commonly tested with experiments that involve a cohort of subjects. The cohort can consist of a handful of subjects for…”
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Robust learning from corrupted EEG with dynamic spatial filtering
Published in NeuroImage (Orlando, Fla.) (01-05-2022)“…•We propose a method to handle data corruption in EEG recorded with very few channels.•An attention-based neural network reweighs EEG channels according to…”
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Emergence of β and γ networks following multisensory training
Published in NeuroImage (Orlando, Fla.) (01-02-2020)“…Our perceptual reality relies on inferences about the causal structure of the world given by multiple sensory inputs. In ecological settings, multisensory…”
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Brain–heart interactions reveal consciousness in noncommunicating patients
Published in Annals of neurology (01-10-2017)“…Objective We here aimed at characterizing heart–brain interactions in patients with disorders of consciousness. We tested how this information impacts…”
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Segregation of the human medial prefrontal cortex in social cognition
Published in Frontiers in human neuroscience (2013)“…While the human medial prefrontal cortex (mPFC) is widely believed to be a key node of neural networks relevant for socio-emotional processing, its functional…”
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Predicting future cognitive decline from non-brain and multimodal brain imaging data in healthy and pathological aging
Published in Neurobiology of aging (01-10-2022)“…Previous literature has focused on predicting a diagnostic label from structural brain imaging. Since subtle changes in the brain precede a cognitive decline…”
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Inference and Prediction Diverge in Biomedicine
Published in Patterns (New York, N.Y.) (13-11-2020)“…In the 20th century, many advances in biological knowledge and evidence-based medicine were supported by p values and accompanying methods. In the early 21st…”
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Interactive Psychometrics for Autism With the Human Dynamic Clamp: Interpersonal Synchrony From Sensorimotor to Sociocognitive Domains
Published in Frontiers in psychiatry (26-11-2020)“…The human dynamic clamp (HDC) is a human-machine interface designed on the basis of coordination dynamics for studying realistic social interaction under…”
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Children's Norm Enforcement in Their Interactions With Peers
Published in Child development (01-05-2014)“…This study investigates how children negotiate social norms with peers. In Study 1, 48 pairs of 3- and 5-year-olds (N = 96) and in Study 2, 48 pairs of 5- and…”
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Combined behavioral and electrophysiological evidence for a direct cortical effect of prefrontal tDCS on disorders of consciousness
Published in Scientific reports (09-03-2020)“…Severe brain injuries can lead to long-lasting disorders of consciousness (DoC) such as vegetative state/unresponsive wakefulness syndrome (VS/UWS) or…”
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