Revisiting the value of polysomnographic data in insomnia: more than meets the eye DOI Creative Commons
Thomas Andrillon, Geoffroy Solelhac, Paul Bouchequet

et al.

Sleep Medicine, Journal Year: 2019, Volume and Issue: 66, P. 184 - 200

Published: Dec. 13, 2019

Language: Английский

Complex Oscillatory Waves Emerging from Cortical Organoids Model Early Human Brain Network Development DOI Creative Commons
Cleber A. Trujillo, Richard Gao, Priscilla D. Negraes

et al.

Cell stem cell, Journal Year: 2019, Volume and Issue: 25(4), P. 558 - 569.e7

Published: Aug. 29, 2019

Language: Английский

Citations

731

EEG Frequency Bands in Psychiatric Disorders: A Review of Resting State Studies DOI Creative Commons
Jennifer Newson, Tara C. Thiagarajan

Frontiers in Human Neuroscience, Journal Year: 2019, Volume and Issue: 12

Published: Jan. 9, 2019

A significant proportion of the electroencephalography (EEG) literature focuses on differences in historically pre-defined frequency bands power spectrum that are typically referred to as alpha, beta, gamma, theta and delta waves. Here we review 184 EEG studies report resting state condition (eyes open closed) across a psychiatric disorders including depression, attention deficit-hyperactivity disorder (ADHD), autism, addiction, bipolar disorder, anxiety, panic post-traumatic stress (PTSD), obsessive compulsive (OCD) schizophrenia determine patterns disorders. Aggregating all reported results demonstrate characteristic change within specific not necessarily unique any one but show substantial overlap well variability In particular, most dominant pattern change, several types ADHD, OCD, is increases lower frequencies (delta theta) decreases higher (alpha, beta gamma). However, considerable number disorders, such PTSD, addiction autism no trend for spectral direction. We consistency validation scores conditions showing result only 2.2 times likely occur alternate results, with less than 250 study participants when summed reporting this result. Furthermore, magnitudes were infrequently small at between 20 30% correlated weakly symptom severity scores. Finally, discuss many methodological challenges limitations relating band analysis literature. These caution interpretation from consider isolation, overall potential approach delivering valuable insights field mental health.

Language: Английский

Citations

662

Theta Oscillations in Human Memory DOI Creative Commons
Nora A. Herweg, Ethan A. Solomon, Michael J. Kahana

et al.

Trends in Cognitive Sciences, Journal Year: 2020, Volume and Issue: 24(3), P. 208 - 227

Published: Feb. 3, 2020

Language: Английский

Citations

419

Neural Mechanisms of Sustained Attention Are Rhythmic DOI Creative Commons
Randolph F. Helfrich, Ian C. Fiebelkorn,

Sara M. Szczepanski

et al.

Neuron, Journal Year: 2018, Volume and Issue: 99(4), P. 854 - 865.e5

Published: Aug. 1, 2018

Language: Английский

Citations

408

An electrophysiological marker of arousal level in humans DOI Creative Commons
Janna D. Lendner, Randolph F. Helfrich, Bryce A. Mander

et al.

eLife, Journal Year: 2020, Volume and Issue: 9

Published: July 28, 2020

Deep non-rapid eye movement sleep (NREM) and general anesthesia with propofol are prominent states of reduced arousal linked to the occurrence synchronized oscillations in electroencephalogram (EEG). Although rapid (REM) is also associated diminished levels, it characterized by a desynchronized, ‘wake-like’ EEG. This observation implies that not necessarily only defined synchronous oscillatory activity. Using intracranial surface EEG recordings four independent data sets, we demonstrate 1/f spectral slope electrophysiological power spectrum, which reflects non-oscillatory, scale-free component neural activity, delineates wakefulness from anesthesia, NREM REM sleep. Critically, discriminates solely based on neurophysiological brain state. Taken together, our findings describe common marker tracks arousal, including different stages as well humans.

Language: Английский

Citations

317

Automagic: Standardized preprocessing of big EEG data DOI
Andreas Pedroni,

Amirreza Bahreini,

Nicolas Langer

et al.

NeuroImage, Journal Year: 2019, Volume and Issue: 200, P. 460 - 473

Published: June 21, 2019

Language: Английский

Citations

221

Decomposing alpha and 1/f brain activities reveals their differential associations with cognitive processing speed DOI Creative Commons
Guang Ouyang, Andrea Hildebrandt, Florian Schmitz

et al.

NeuroImage, Journal Year: 2019, Volume and Issue: 205, P. 116304 - 116304

Published: Oct. 22, 2019

Research in cognitive neuroscience has extensively demonstrated that the temporal dynamics of brain activity are associated with functioning. The mainly include oscillatory and 1/f noise-like, non-oscillatory activities coexist many forms confound each other's variability. As such, observed functional associations narrowband oscillations might have been confounded broadband component. Here, we investigated relationship between resting-state EEG efficiency functioning N = 180 individuals. We show plays an essential role accounting for between-person variability speed – a can be mistaken as originating from using conventional power spectrum analysis. At first glance, alpha appeared to predictive speed. However, when dissociating pure activity, only predicted speed, whereas vanished. With this highly powered study, disambiguate relevance law pattern resting state neural substantiate necessity isolating component studying spontaneous activities.

Language: Английский

Citations

212

The development of theta and alpha neural oscillations from ages 3 to 24 years DOI Creative Commons
Dillan Cellier, Justin Riddle, Isaac T. Petersen

et al.

Developmental Cognitive Neuroscience, Journal Year: 2021, Volume and Issue: 50, P. 100969 - 100969

Published: May 31, 2021

Intrinsic, unconstrained neural activity exhibits rich spatial, temporal, and spectral organization that undergoes continuous refinement from childhood through adolescence. The goal of this study was to investigate the development theta (4−8 Hertz) alpha (8−12 oscillations early adulthood (years 3–24), as these play a fundamental role in cognitive function. We analyzed eyes-open, resting-state EEG data 96 participants estimate genuine separately aperiodic (1/f) signal. examined age-related differences signal (slope offset), well peak frequency power dominant posterior oscillation. For signal, we found both slope offset decreased with age. oscillation, frequency, but not power, increased Critically, (ages 3–7) characterized by dominance electrodes, whereas oscillation range between ages 7 24. Furthermore, displayed topographical transition electrodes anterior adulthood. Our results provide quantitative description oscillations.

Language: Английский

Citations

160

Alpha/beta power decreases track the fidelity of stimulus-specific information DOI Creative Commons
Benjamin Griffiths, Stephen Mayhew, Karen J. Mullinger

et al.

eLife, Journal Year: 2019, Volume and Issue: 8

Published: Nov. 29, 2019

Massed synchronised neuronal firing is detrimental to information processing. When networks of task-irrelevant neurons fire in unison, they mask the signal generated by task-critical neurons. On a macroscopic level, such synchronisation can contribute alpha/beta (8-30 Hz) oscillations. Reducing amplitude these oscillations, therefore, may enhance Here, we test this hypothesis. Twenty-one participants completed an associative memory task while undergoing simultaneous EEG-fMRI recordings. Using representational similarity analysis, quantified amount stimulus-specific represented within BOLD on every trial. correlating metric with concurrently-recorded power, found significant negative correlation which indicated that as post-stimulus power decreased, increased. Critically, effect three unique tasks: visual perception, auditory and retrieval, indicating phenomenon transcends both stimulus modality cognitive task. These results indicate decreases parametrically track fidelity externally-presented internally-generated cortex.

Language: Английский

Citations

152

Sustained neural rhythms reveal endogenous oscillations supporting speech perception DOI Creative Commons
Sander van Bree, Ediz Sohoglu, Matthew H. Davis

et al.

PLoS Biology, Journal Year: 2021, Volume and Issue: 19(2), P. e3001142 - e3001142

Published: Feb. 26, 2021

Rhythmic sensory or electrical stimulation will produce rhythmic brain responses. These responses are often interpreted as endogenous neural oscillations aligned (or “entrained”) to the stimulus rhythm. However, stimulus-aligned can also be explained a sequence of evoked responses, which only appear regular due rhythmicity stimulus, without necessarily involving underlying oscillations. To distinguish from true oscillatory activity, we tested whether produces continue after end stimulus. Such sustained effects provide evidence for involvement In Experiment 1, found that intelligible, but not unintelligible speech in magnetoencephalography (MEG) outlast at parietal sensors. 2, transcranial alternating current (tACS) leads fluctuations perception outcomes stimulation. We further report phase relation between electroencephalography (EEG) and intelligible predict tACS most accurate perception. Together, fundamental results several lines research—including entrainment tACS—and reveal key principle

Language: Английский

Citations

105