Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states

AE Hramov, VA Maksimenko, AN Pisarchik - Physics Reports, 2021 - Elsevier
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …

Simultaneous EEG-fMRI: what have we learned and what does the future hold?

T Warbrick - Sensors, 2022 - mdpi.com
Simultaneous EEG-fMRI has developed into a mature measurement technique in the past
25 years. During this time considerable technical and analytical advances have been made …

Assessing and conceptualizing frontal EEG asymmetry: An updated primer on recording, processing, analyzing, and interpreting frontal alpha asymmetry

EE Smith, SJ Reznik, JL Stewart, JJB Allen - International Journal of …, 2017 - Elsevier
Frontal electroencephalographic (EEG) alpha asymmetry is widely researched in studies of
emotion, motivation, and psychopathology, yet it is a metric that has been quantified and …

[HTML][HTML] Decoding wakefulness levels from typical fMRI resting-state data reveals reliable drifts between wakefulness and sleep

E Tagliazucchi, H Laufs - Neuron, 2014 - cell.com
The mining of huge databases of resting-state brain activity recordings represents state of
the art in the assessment of endogenous neuronal activity—and may be a promising tool in …

Interpreting EEG alpha activity

OM Bazanova, D Vernon - Neuroscience & Biobehavioral Reviews, 2014 - Elsevier
Exploring EEG alpha oscillations has generated considerable interest, in particular with
regards to the role they play in cognitive, psychomotor, psycho-emotional and physiological …

Neural, electrophysiological and anatomical basis of brain-network variability and its characteristic changes in mental disorders

J Zhang, W Cheng, Z Liu, K Zhang, X Lei, Y Yao… - Brain, 2016 - academic.oup.com
Functional brain networks demonstrate significant temporal variability and dynamic
reconfiguration even in the resting state. Currently, most studies investigate temporal …

Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging

MD Fox, ME Raichle - Nature reviews neuroscience, 2007 - nature.com
The majority of functional neuroscience studies have focused on the brain's response to a
task or stimulus. However, the brain is very active even in the absence of explicit input or …

Default-mode brain dysfunction in mental disorders: a systematic review

SJ Broyd, C Demanuele, S Debener, SK Helps… - … & biobehavioral reviews, 2009 - Elsevier
In this review we are concerned specifically with the putative role of the default-mode
network (DMN) in the pathophysiology of mental disorders. First, we define the DMN concept …

Electrophysiological signatures of resting state networks in the human brain

D Mantini, MG Perrucci, C Del Gratta… - Proceedings of the …, 2007 - pnas.org
Functional neuroimaging and electrophysiological studies have documented a dynamic
baseline of intrinsic (not stimulus-or task-evoked) brain activity during resting wakefulness …

Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep

ABA Stevner, D Vidaurre, J Cabral, K Rapuano… - Nature …, 2019 - nature.com
The modern understanding of sleep is based on the classification of sleep into stages
defined by their electroencephalography (EEG) signatures, but the underlying brain …