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MNE software for processing MEG and EEG data

NeuroImage (Orlando, Fla.), 2014-02, Vol.86, p.446-460

2014

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Autoreject: Automated artifact rejection for MEG and EEG data

NeuroImage (Orlando, Fla.), 2017-10, Vol.159, p.417-429

2017

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Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states

NeuroImage (Orlando, Fla.), 2020-11, Vol.222, p.116893-116893, Article 116893

2020

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Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals

NeuroImage (Orlando, Fla.), 2015-03, Vol.108, p.328-342

2015

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Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers

eLife, 2020-05, Vol.9

2020

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Uncovering the structure of clinical EEG signals with self-supervised learning

Journal of neural engineering, 2021-08, Vol.18 (4), p.46020

2021

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Robust EEG-based cross-site and cross-protocol classification of states of consciousness

Brain (London, England : 1878), 2018-11, Vol.141 (11), p.3179-3192

2018

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Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines

NeuroImage (Orlando, Fla.), 2017-01, Vol.145 (Pt B), p.166-179

2017

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A reusable benchmark of brain-age prediction from M/EEG resting-state signals

NeuroImage (Orlando, Fla.), 2022-11, Vol.262, p.119521-119521, Article 119521

2022

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MEG and EEG data analysis with MNE-Python

Frontiers in neuroscience, 2013-12, Vol.7, p.267-267

2013

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A Reproducible MEG/EEG Group Study With the MNE Software: Recommendations, Quality Assessments, and Good Practices

Frontiers in neuroscience, 2018-08, Vol.12, p.530-530

2018

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Robust learning from corrupted EEG with dynamic spatial filtering

NeuroImage (Orlando, Fla.), 2022-05, Vol.251, p.118994-118994, Article 118994

2022

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Emergence of β and γ networks following multisensory training

NeuroImage (Orlando, Fla.), 2020-02, Vol.206, p.116313-116313, Article 116313

2020

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Brain–heart interactions reveal consciousness in noncommunicating patients

Annals of neurology, 2017-10, Vol.82 (4), p.578-591

2017

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Segregation of the human medial prefrontal cortex in social cognition

Frontiers in human neuroscience, 2013, Vol.7, p.232-232

2013

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Predicting future cognitive decline from non-brain and multimodal brain imaging data in healthy and pathological aging

Neurobiology of aging, 2022-10, Vol.118, p.55-65

2022

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Inference and Prediction Diverge in Biomedicine

Patterns (New York, N.Y.), 2020-11, Vol.1 (8), p.100119-100119, Article 100119

2020

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Interactive Psychometrics for Autism With the Human Dynamic Clamp: Interpersonal Synchrony From Sensorimotor to Sociocognitive Domains

Frontiers in psychiatry, 2020-11, Vol.11, p.510366-510366

2020

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Combined behavioral and electrophysiological evidence for a direct cortical effect of prefrontal tDCS on disorders of consciousness

Scientific reports, 2020-03, Vol.10 (1), p.4323-4323, Article 4323

2020

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Children's Norm Enforcement in Their Interactions With Peers

Child development, 2014-05, Vol.85 (3), p.1108-1122

2014

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Distinguishing Social From Private Intentions Through the Passive Observation of Gaze Cues

Frontiers in human neuroscience, 2019-12, Vol.13, p.442-442

2019

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Clustered marginalization of minorities during social transitions induced by co-evolution of behaviour and network structure

Scientific reports, 2016-08, Vol.6 (1), p.30790-30790, Article 30790

2016

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Repurposing electroencephalogram monitoring of general anaesthesia for building biomarkers of brain ageing: an exploratory study

BJA open, 2023-09, Vol.7, p.100145-100145, Article 100145

2023

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Cortico-Cerebellar neurodynamics during social interaction in Autism Spectrum Disorders

NeuroImage clinical, 2023-01, Vol.39, p.103465-103465, Article 103465

2023

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A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility

Patterns (New York, N.Y.), 2023-04, Vol.4 (4), p.100712-100712, Article 100712

2023

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MNE software for processing MEG and EEG data

Autoreject: Automated artifact rejection for MEG and EEG data

Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states

Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals

Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers

Uncovering the structure of clinical EEG signals with self-supervised learning

Robust EEG-based cross-site and cross-protocol classification of states of consciousness

Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines

A reusable benchmark of brain-age prediction from M/EEG resting-state signals

MEG and EEG data analysis with MNE-Python

A Reproducible MEG/EEG Group Study With the MNE Software: Recommendations, Quality Assessments, and Good Practices

Robust learning from corrupted EEG with dynamic spatial filtering

Emergence of β and γ networks following multisensory training

Brain–heart interactions reveal consciousness in noncommunicating patients

Segregation of the human medial prefrontal cortex in social cognition

Predicting future cognitive decline from non-brain and multimodal brain imaging data in healthy and pathological aging

Inference and Prediction Diverge in Biomedicine

Interactive Psychometrics for Autism With the Human Dynamic Clamp: Interpersonal Synchrony From Sensorimotor to Sociocognitive Domains

Combined behavioral and electrophysiological evidence for a direct cortical effect of prefrontal tDCS on disorders of consciousness

Children's Norm Enforcement in Their Interactions With Peers

Distinguishing Social From Private Intentions Through the Passive Observation of Gaze Cues

Clustered marginalization of minorities during social transitions induced by co-evolution of behaviour and network structure

Repurposing electroencephalogram monitoring of general anaesthesia for building biomarkers of brain ageing: an exploratory study

Cortico-Cerebellar neurodynamics during social interaction in Autism Spectrum Disorders

A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility

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