Closed-loop brain training: the science of neurofeedback

R Sitaram, T Ros, L Stoeckel, S Haller… - Nature Reviews …, 2017 - nature.com
Neurofeedback is a psychophysiological procedure in which online feedback of neural
activation is provided to the participant for the purpose of self-regulation. Learning control …

Interpreting and utilising intersubject variability in brain function

ML Seghier, CJ Price - Trends in cognitive sciences, 2018 - cell.com
We consider between-subject variance in brain function as data rather than noise. We
describe variability as a natural output of a noisy plastic system (the brain) where each …

[HTML][HTML] Music can be reconstructed from human auditory cortex activity using nonlinear decoding models

L Bellier, A Llorens, D Marciano, A Gunduz… - PLoS …, 2023 - journals.plos.org
Music is core to human experience, yet the precise neural dynamics underlying music
perception remain unknown. We analyzed a unique intracranial electroencephalography …

Spatiotemporally distributed frontotemporal networks for sentence reading

O Woolnough, C Donos, E Murphy… - Proceedings of the …, 2023 - National Acad Sciences
Reading a sentence entails integrating the meanings of individual words to infer more
complex, higher-order meaning. This highly rapid and complex human behavior is known to …

Linear mixed-effects modeling approach to FMRI group analysis

G Chen, ZS Saad, JC Britton, DS Pine, RW Cox - Neuroimage, 2013 - Elsevier
Conventional group analysis is usually performed with Student-type t-test, regression, or
standard AN (C) OVA in which the variance–covariance matrix is presumed to have a simple …

Brain-computer interfaces using electrocorticographic signals

G Schalk, EC Leuthardt - IEEE reviews in biomedical …, 2011 - ieeexplore.ieee.org
Many studies over the past two decades have shown that people and animals can use brain
signals to convey their intent to a computer using brain-computer interfaces (BCIs). BCI …

Roles for the pre-supplementary motor area and the right inferior frontal gyrus in stopping action: electrophysiological responses and functional and structural …

NC Swann, W Cai, CR Conner, TA Pieters, MP Claffey… - Neuroimage, 2012 - Elsevier
Both the pre-supplementary motor area (preSMA) and the right inferior frontal gyrus (rIFG)
are important for stopping action outright. These regions are also engaged when preparing …

The neuroscience of meditation: classification, phenomenology, correlates, and mechanisms

T Brandmeyer, A Delorme, H Wahbeh - Progress in brain research, 2019 - Elsevier
Rising from its contemplative and spiritual traditions, the science of meditation has seen
huge growth over the last 30 years. This chapter reviews the classifications …

Increased gamma brainwave amplitude compared to control in three different meditation traditions

C Braboszcz, BR Cahn, J Levy, M Fernandez… - PloS one, 2017 - journals.plos.org
Despite decades of research, effects of different types of meditation on
electroencephalographic (EEG) activity are still being defined. We compared practitioners of …

Frequency-specific network connectivity increases underlie accurate spatiotemporal memory retrieval

AJ Watrous, N Tandon, CR Conner, T Pieters… - Nature …, 2013 - nature.com
The medial temporal lobes, prefrontal cortex and parts of parietal cortex form the neural
underpinnings of episodic memory, which includes remembering both where and when an …