scholarly journals Low-frequency cortical oscillations are modulated by temporal prediction and temporal error coding

NeuroImage ◽  
2017 ◽  
Vol 146 ◽  
pp. 40-46 ◽  
Author(s):  
Louise Catheryne Barne ◽  
Peter Maurice Erna Claessens ◽  
Marcelo Bussotti Reyes ◽  
Marcelo Salvador Caetano ◽  
André Mascioli Cravo
Keyword(s):  
Low Frequency ◽  
Temporal Prediction ◽  
Cortical Oscillations ◽  
Error Coding

scholarly journals Low-frequency cortical oscillations are modulated by temporal prediction and temporal error coding

2016 ◽  
Author(s):  
Louise Catheryne Barne ◽  
Peter Maurice Erna Claessens ◽  
Marcelo Bussotti Reyes ◽  
Marcelo Salvador Caetano ◽  
André Mascioli Cravo
Keyword(s):  
Low Frequency ◽  
Stimulus Onset ◽  
Expected Time ◽  
Temporal Prediction ◽  
Cortical Oscillations ◽  
Low Frequency Oscillations ◽  
Error Magnitude ◽  
Eeg Data ◽  
Error Coding ◽  
Human Participants

AbstractMonitoring and updating temporal predictions are critical abilities for adaptive behavior. Here, we investigated whether neural oscillations are related to violation and updating of temporal predictions. Human participants performed an experiment in which they had to generate a target at an expected time point, by pressing a button while taking into account a variable delay between the act and the stimulus occurrence. Our behavioral results showed that participants quickly adapted their temporal predictions in face of an error. Concurrent electrophysiological (EEG) data showed that temporal errors elicited markers that are classically related to error coding. Furthermore, intertrial phase coherence of frontal theta oscillations was modulated by error magnitude, possibly indexing the degree of surprise. Finally, we found that delta phase at stimulus onset was correlated with future behavioral adjustments. Together, our findings suggest that low frequency oscillations play a key role in monitoring and in updating temporal predictions.

scholarly journals Low Frequency Oscillations drive EEG's complexity changes during wakefulness and sleep

2021 ◽  
Author(s):  
Joaquin Gonzalez ◽  
Diego M. Mateos ◽  
Matias Cavelli ◽  
Alejandra Mondino ◽  
Claudia Pascovich ◽  
...  
Keyword(s):  
Slow Wave Sleep ◽  
Low Frequency ◽  
Neuronal Population ◽  
Complexity Measures ◽  
Low Frequencies ◽  
New Approach ◽  
Frequency Bands ◽  
Cortical Oscillations ◽  
Brain Signals ◽  
Low Frequency Oscillations

Recently, the sleep-wake states have been analysed using novel complexity measures, complementing the classical analysis of EEGs by frequency bands. This new approach consistently shows a decrease in EEG's complexity during slow-wave sleep, yet it is unclear how cortical oscillations shape these complexity variations. In this work, we analyse how the frequency content of brain signals affects the complexity estimates in freely moving rats. We find that the low-frequency spectrum - including the Delta, Theta, and Sigma frequency bands - drives the complexity changes during the sleep-wake states. This happens because low-frequency oscillations emerge from neuronal population patterns, as we show by recovering the complexity variations during the sleep-wake cycle from micro, meso, and macroscopic recordings. Moreover, we find that the lower frequencies reveal synchronisation patterns across the neocortex, such as a sensory-motor decoupling that happens during REM sleep. Overall, our works shows that EEG's low frequencies are critical in shaping the sleep-wake states' complexity across cortical scales.

scholarly journals Cortical entrainment to music and its modulation by expertise

2015 ◽  
Vol 112 (45) ◽  
pp. E6233-E6242 ◽  
Author(s):  
Keith B. Doelling ◽  
David Poeppel
Keyword(s):  
Music Perception ◽  
Musical Training ◽  
Low Frequency ◽  
Oscillatory Activity ◽  
Cortical Oscillations ◽  
Bidirectional Relationship ◽  
Delta Activity ◽  
Tightly Coupled ◽  
Neural Entrainment ◽  
Cortical Entrainment

Recent studies establish that cortical oscillations track naturalistic speech in a remarkably faithful way. Here, we test whether such neural activity, particularly low-frequency (<8 Hz; delta–theta) oscillations, similarly entrain to music and whether experience modifies such a cortical phenomenon. Music of varying tempi was used to test entrainment at different rates. In three magnetoencephalography experiments, we recorded from nonmusicians, as well as musicians with varying years of experience. Recordings from nonmusicians demonstrate cortical entrainment that tracks musical stimuli over a typical range of tempi, but not at tempi below 1 note per second. Importantly, the observed entrainment correlates with performance on a concurrent pitch-related behavioral task. In contrast, the data from musicians show that entrainment is enhanced by years of musical training, at all presented tempi. This suggests a bidirectional relationship between behavior and cortical entrainment, a phenomenon that has not previously been reported. Additional analyses focus on responses in the beta range (∼15–30 Hz)—often linked to delta activity in the context of temporal predictions. Our findings provide evidence that the role of beta in temporal predictions scales to the complex hierarchical rhythms in natural music and enhances processing of musical content. This study builds on important findings on brainstem plasticity and represents a compelling demonstration that cortical neural entrainment is tightly coupled to both musical training and task performance, further supporting a role for cortical oscillatory activity in music perception and cognition.

scholarly journals Modulation of Cortical Oscillations by Low-Frequency Direct Cortical Stimulation Is State-Dependent

PLoS Biology ◽  
2016 ◽  
Vol 14 (3) ◽  
pp. e1002424 ◽  
Author(s):  
Sankaraleengam Alagapan ◽  
Stephen L. Schmidt ◽  
Jérémie Lefebvre ◽  
Eldad Hadar ◽  
Hae Won Shin ◽  
...  
Keyword(s):  
Low Frequency ◽  
Cortical Stimulation ◽  
Direct Cortical Stimulation ◽  
Cortical Oscillations ◽  
State Dependent

scholarly journals Low-Frequency Cortical Oscillations Entrain to Subthreshold Rhythmic Auditory Stimuli

2017 ◽  
Vol 37 (19) ◽  
pp. 4903-4912 ◽  
Author(s):  
Sanne ten Oever ◽  
Charles E. Schroeder ◽  
David Poeppel ◽  
Nienke van Atteveldt ◽  
Ashesh D. Mehta ◽  
...  
Keyword(s):  
Low Frequency ◽  
Auditory Stimuli ◽  
Cortical Oscillations

scholarly journals Delta phase resets mediate non-rhythmic temporal prediction

2019 ◽  
Author(s):  
Jonathan Daume ◽  
Peng Wang ◽  
Alexander Maye ◽  
Dan Zhang ◽  
Andreas K. Engel
Keyword(s):  
Low Frequency ◽  
Oscillatory Activity ◽  
Neural Oscillations ◽  
Temporal Prediction ◽  
Delta Phase ◽  
Frontal Brain ◽  
Delta Band ◽  
Moving Stimulus ◽  
Evoked Activity ◽  
Trial Phase

AbstractThe phase of neural oscillatory activity aligns to the predicted onset of upcoming stimulation. Whether such phase alignments represent phase resets of underlying neural oscillations or just rhythmically evoked activity, and whether they can be observed in a rhythm-free visual context, however, remains unclear. Here, we recorded the magnetoencephalogram while participants were engaged in a temporal prediction task judging the visual or tactile reappearance of a uniformly moving stimulus. The prediction conditions were contrasted with a control condition to dissociate phase adjustments of neural oscillations from stimulus-driven activity. We observed stronger delta band inter-trial phase consistency (ITPC) in a network of sensory, parietal and frontal brain areas, but no power increase reflecting stimulus-driven or prediction-related processes. Delta ITPC further correlated with prediction performance in the cerebellum and visual cortex. Our results provide evidence that phase alignments of low-frequency neural oscillations underlie temporal predictions in a non-rhythmic visual and crossmodal context.

scholarly journals Intrinsic coupling modes reveal the functional architecture of cortico-tectal networks

2015 ◽  
Vol 1 (7) ◽  
pp. e1500229 ◽  
Author(s):  
Iain Stitt ◽  
Edgar Galindo-Leon ◽  
Florian Pieper ◽  
Gerhard Engler ◽  
Eva Fiedler ◽  
...  
Keyword(s):  
Neural Activity ◽  
High Frequency ◽  
Receptive Fields ◽  
Low Frequency ◽  
Sensory Stimulation ◽  
Anatomical Connectivity ◽  
Spatial And Temporal Scales ◽  
Cortical Oscillations ◽  
Visual Spatial ◽  
Spatial Specificity

In the absence of sensory stimulation or motor output, the brain exhibits complex spatiotemporal patterns of intrinsically generated neural activity. Analysis of ongoing brain dynamics has identified the prevailing modes of cortico-cortical interaction; however, little is known about how such patterns of intrinsically generated activity are correlated between cortical and subcortical brain areas. We investigate the correlation structure of ongoing cortical and superior colliculus (SC) activity across multiple spatial and temporal scales. Ongoing cortico-tectal interaction was characterized by correlated fluctuations in the amplitude of delta, spindle, low gamma, and high-frequency oscillations (>100 Hz). Of these identified coupling modes, topographical patterns of high-frequency coupling were the most consistent with patterns of anatomical connectivity, reflecting synchronized spiking within cortico-tectal networks. Cortico-tectal coupling at high frequencies was temporally parcellated by the phase of slow cortical oscillations and was strongest for SC-cortex channel pairs that displayed overlapping visual spatial receptive fields. Despite displaying a high degree of spatial specificity, cortico-tectal coupling in lower-frequency bands did not match patterns of cortex-to-SC anatomical connectivity. Collectively, our findings demonstrate that neural activity is spontaneously coupled between cortex and SC, with high- and low-frequency modes of coupling reflecting direct and indirect cortico-tectal interactions, respectively.

scholarly journals Relating Intrinsic Low-Frequency BOLD Cortical Oscillations to Cognition in Schizophrenia

2015 ◽  
Vol 40 (12) ◽  
pp. 2705-2714 ◽  
Author(s):  
Susanna L Fryer ◽  
Brian J Roach ◽  
Judith M Ford ◽  
Jessica A Turner ◽  
Theo G M van Erp ◽  
...  
Keyword(s):  
Low Frequency ◽  
Cortical Oscillations

scholarly journals Low-frequency direct cortical stimulation of left superior frontal gyrus enhances working memory performance

2018 ◽  
Author(s):  
Sankaraleengam Alagapan ◽  
Caroline Lustenberger ◽  
Eldad Hadar ◽  
Hae Won Shin ◽  
Flavio Fröhlich
Keyword(s):  
Working Memory ◽  
Memory Performance ◽  
Reaction Times ◽  
Low Frequency ◽  
Cortical Stimulation ◽  
Superior Frontal Gyrus ◽  
Frequency Bands ◽  
Direct Cortical Stimulation ◽  
Cortical Oscillations

AbstractThe neural substrates of working memory are spread across prefrontal, parietal and cingulate cortices and are thought to be coordinated through low frequency cortical oscillations in the theta (3 – 8 Hz) and alpha (8 – 12 Hz) frequency bands. While the functional role of many subregions have been elucidated using neuroimaging studies, the role of superior frontal gyrus (SFG) is not yet clear. Here, we combined electrocorticography and direct cortical stimulation in three patients implanted with subdural electrodes to assess if superior frontal gyrus is indeed involved in working memory. We found left SFG exhibited task-related modulation of oscillations in the theta and alpha frequency bands specifically during the encoding epoch. Stimulation at the frequency matched to the endogenous oscillations resulted in reduced reaction times in all three participants. Our results support the causal role of SFG in working memory and suggest that SFG may coordinate working memory through low-frequency oscillations thus bolstering the feasibility of targeting oscillations for restoring cognitive function.

scholarly journals Disruption of thalamocortical activity in schizophrenia models: relevance to antipsychotic drug action

2013 ◽  
Vol 16 (10) ◽  
pp. 2145-2163 ◽  
Author(s):  
Pau Celada ◽  
Laia Lladó-Pelfort ◽  
N. Santana ◽  
L. Kargieman ◽  
Eva Troyano-Rodriguez ◽  
...  
Keyword(s):  
Nmda Receptor ◽  
Low Frequency ◽  
Nmda Receptor Antagonist ◽  
New Drugs ◽  
Psychotic Symptoms ◽  
Subcortical Structures ◽  
Cortical Oscillations ◽  
Antipsychotic Activity ◽  
Electrophysiological Studies ◽  
Psychotomimetic Effects

Abstract Non-competitive NMDA receptor antagonists are widely used as pharmacological models of schizophrenia due to their ability to evoke the symptoms of the illness. Likewise, serotonergic hallucinogens, acting on 5-HT2A receptors, induce perceptual and behavioural alterations possibly related to psychotic symptoms. The neurobiological basis of these alterations is not fully elucidated. Data obtained in recent years revealed that the NMDA receptor antagonist phencyclidine (PCP) and the serotonergic hallucinogen 1-(2,5-dimethoxy-4-iodophenyl-2-aminopropane; DOI) produce a series of common actions in rodent prefrontal cortex (PFC) that may underlie psychotomimetic effects. Hence, both agents markedly disrupt PFC function by altering pyramidal neuron discharge (with an overall increase) and reducing the power of low frequency cortical oscillations (LFCO; < 4 Hz). In parallel, PCP increased c-fos expression in excitatory neurons of various cortical areas, the thalamus and other subcortical structures, such as the amygdala. Electrophysiological studies revealed that PCP altered similarly the function of the centromedial and mediodorsal nuclei of the thalamus, reciprocally connected with PFC, suggesting that its psychotomimetic properties are mediated by an alteration of thalamocortical activity (the effect of DOI was not examined in the thalamus). Interestingly, the observed effects were prevented or reversed by the antipsychotic drugs clozapine and haloperidol, supporting that the disruption of PFC activity is intimately related to the psychotomimetic activity of these agents. Overall, the present experimental model can be successfully used to elucidate the neurobiological basis of schizophrenia symptoms and to examine the potential antipsychotic activity of new drugs in development.

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