Advances in human intracranial electroencephalography research, guidelines and good practices

MR Mercier, AS Dubarry, F Tadel, P Avanzini… - Neuroimage, 2022 - Elsevier
Since the second half of the twentieth century, intracranial electroencephalography (iEEG),
including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG) …

[HTML][HTML] EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: a review

CM Michel, T Koenig - Neuroimage, 2018 - Elsevier
The present review discusses a well-established method for characterizing resting-state
activity of the human brain using multichannel electroencephalography (EEG). This method …

The theory of constructed emotion: an active inference account of interoception and categorization

LF Barrett - Social cognitive and affective neuroscience, 2017 - academic.oup.com
The science of emotion has been using folk psychology categories derived from philosophy
to search for the brain basis of emotion. The last two decades of neuroscience research …

Time-frequency super-resolution with superlets

VV Moca, H Bârzan, A Nagy-Dăbâcan… - Nature …, 2021 - nature.com
Abstract Due to the Heisenberg–Gabor uncertainty principle, finite oscillation transients are
difficult to localize simultaneously in both time and frequency. Classical estimators, like the …

Where does EEG come from and what does it mean?

MX Cohen - Trends in neurosciences, 2017 - cell.com
Electroencephalography (EEG) has been instrumental in making discoveries about
cognition, brain function, and dysfunction. However, where do EEG signals come from and …

[图书][B] Analyzing neural time series data: theory and practice

MX Cohen - 2014 - books.google.com
A comprehensive guide to the conceptual, mathematical, and implementational aspects of
analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This …

Tracking whole-brain connectivity dynamics in the resting state

EA Allen, E Damaraju, SM Plis, EB Erhardt… - Cerebral …, 2014 - academic.oup.com
Spontaneous fluctuations are a hallmark of recordings of neural signals, emergent over time
scales spanning milliseconds and tens of minutes. However, investigations of intrinsic brain …

[HTML][HTML] Physiological feelings

EF Pace-Schott, MC Amole, T Aue, M Balconi… - Neuroscience & …, 2019 - Elsevier
The role of peripheral physiology in the experience of emotion has been debated since the
19th century following the seminal proposal by William James that somatic responses to …

Transcranial focused ultrasound modulates the activity of primary somatosensory cortex in humans

W Legon, TF Sato, A Opitz, J Mueller, A Barbour… - Nature …, 2014 - nature.com
Improved methods of noninvasively modulating human brain function are needed. Here we
probed the influence of transcranial focused ultrasound (tFUS) targeted to the human …

Real-time movie-induced discrete emotion recognition from EEG signals

YJ Liu, M Yu, G Zhao, J Song, Y Ge… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Recognition of a human's continuous emotional states in real time plays an important role in
machine emotional intelligence and human-machine interaction. Existing real-time emotion …