Evoked activity and EEG phase resetting in the genesis of auditory Go/NoGo ERPs

AbstractIntegration of information across the senses is critical for perception and is a common property of neurons in the cerebral cortex, where it is thought to arise primarily from corticocortical connections. Much less is known about the role of subcortical circuits in shaping the multisensory properties of cortical neurons. We show that stimulation of the whiskers causes widespread suppression of sound-evoked activity in mouse primary auditory cortex (A1). This suppression depends on the primary somatosensory cortex (S1), and is implemented through a descending circuit that links S1, via the auditory midbrain, with thalamic neurons that project to A1. Furthermore, a direct pathway from S1 has a facilitatory effect on auditory responses in higher-order thalamic nuclei that project to other brain areas. Crossmodal corticofugal projections to the auditory midbrain and thalamus therefore play a pivotal role in integrating multisensory signals and in enabling communication between different sensory cortical areas.

Download Full-text

Phase resetting in central and peripheral sinoatrial node cell models

Computers in Cardiology, 2004 ◽

10.1109/cic.2004.1442985 ◽

2005 ◽

Author(s):

D.G. Tsalikakis ◽

H.G. Zhang ◽

D.I. Fotiadis ◽

G.P. Kremmydas

Keyword(s):

Sinoatrial Node ◽

Phase Resetting ◽

Cell Models ◽

Sinoatrial Node Cell

Download Full-text

Pulse Inputs Affect Timings of Spikes in Neurons with or Without Time Delays

International Journal of Nonlinear Sciences and Numerical Simulation ◽

10.1515/ijnsns-2017-0070 ◽

2019 ◽

Vol 20 (3-4) ◽

pp. 257-267

Author(s):

Jiaoyan Wang ◽

Xiaoshan Zhao ◽

Chao Lei

Keyword(s):

Time Delays ◽

Single Neuron ◽

Spiking Neurons ◽

Phase Resetting ◽

Subthreshold Oscillations ◽

Weak Pulse

AbstractInputs can change timings of spikes in neurons. But it is still not clear how input’s parameters for example injecting time of inputs affect timings of neurons. HR neurons receiving both weak and strong inputs are considered. How pulse inputs affecting neurons is studied by using the phase-resetting curve technique. For a single neuron, weak pulse inputs may advance or delay the next spike, while strong pulse inputs may induce subthreshold oscillations depending on parameters such as injecting timings of inputs. The behavior of synchronization in a network with or without coupling delays can be predicted by analysis in a single neuron. Our results can be used to predict the effects of inputs on other spiking neurons.

Download Full-text

Dynamic relationships between spontaneous and evoked electrophysiological activity

Communications Biology ◽

10.1038/s42003-021-02240-9 ◽

2021 ◽

Vol 4 (1) ◽

Author(s):

Soren Wainio-Theberge ◽

Annemarie Wolff ◽

Georg Northoff

Keyword(s):

Neural Activity ◽

Large Scale ◽

Behavioral Outcomes ◽

Low Frequencies ◽

Scale Free ◽

Non Invasive ◽

Spontaneous Neural Activity ◽

Electrophysiological Signals ◽

Evoked Activity ◽

Dynamic Relationships

AbstractSpontaneous neural activity fluctuations have been shown to influence trial-by-trial variation in perceptual, cognitive, and behavioral outcomes. However, the complex electrophysiological mechanisms by which these fluctuations shape stimulus-evoked neural activity remain largely to be explored. Employing a large-scale magnetoencephalographic dataset and an electroencephalographic replication dataset, we investigate the relationship between spontaneous and evoked neural activity across a range of electrophysiological variables. We observe that for high-frequency activity, high pre-stimulus amplitudes lead to greater evoked desynchronization, while for low frequencies, high pre-stimulus amplitudes induce larger degrees of event-related synchronization. We further decompose electrophysiological power into oscillatory and scale-free components, demonstrating different patterns of spontaneous-evoked correlation for each component. Finally, we find correlations between spontaneous and evoked time-domain electrophysiological signals. Overall, we demonstrate that the dynamics of multiple electrophysiological variables exhibit distinct relationships between their spontaneous and evoked activity, a result which carries implications for experimental design and analysis in non-invasive electrophysiology.

Download Full-text

Theta activity and phase resetting during perception of French homophonous utterances

Language Cognition and Neuroscience ◽

10.1080/23273798.2021.1950786 ◽

2021 ◽

pp. 1-11

Author(s):

Noelia Do Carmo-Blanco ◽

Michel Hoen ◽

Elsa Spinelli ◽

Fanny Meunier

Keyword(s):

Theta Activity ◽

Phase Resetting

Download Full-text

rTMS affects EEG microstates dynamic during evoked activity

Cortex ◽

10.1016/j.cortex.2021.02.014 ◽

2021 ◽

Author(s):

Pierpaolo Croce ◽

Spadone Sara ◽

Filippo Zappasodi ◽

Antonello Baldassarre ◽

Paolo Capotosto

Keyword(s):

Evoked Activity

Download Full-text

Corticostriatal Circuits Encode the Subjective Value of Perceived Control

Cerebral Cortex ◽

10.1093/cercor/bhz045 ◽

2019 ◽

Vol 29 (12) ◽

pp. 5049-5060 ◽

Cited By ~ 5

Author(s):

Kainan S Wang ◽

Mauricio R Delgado

Keyword(s):

Perceived Control ◽

Well Being ◽

Control Option ◽

Subjective Value ◽

Binary Choices ◽

Mere Presence ◽

The Difference ◽

Neural Underpinnings ◽

Evoked Activity

AbstractThe ability to perceive and exercise control over an outcome is both desirable and beneficial to our well-being. It has been shown that animals and humans alike exhibit behavioral bias towards seeking control and that such bias recruits the ventromedial prefrontal cortex (vmPFC) and striatum. Yet, this bias remains to be quantitatively captured and studied neurally. Here, we employed a behavioral task to measure the preference for control and characterize its neural underpinnings. Participants made a series of binary choices between having control and no-control over a game for monetary reward. The mere presence of the control option evoked activity in the ventral striatum. Importantly, we manipulated the expected value (EV) of each choice pair to extract the pairing where participants were equally likely to choose either option. The difference in EV between the options at this point of equivalence was inferred as the subjective value of control. Strikingly, perceiving control inflated the reward value of the associated option by 30% and this value inflation was tracked by the vmPFC. Altogether, these results capture the subjective value of perceived control inherent in decision making and highlight the role of corticostriatal circuitry in the perception of control.

Download Full-text