scholarly journals The temporal and spectral characteristics of expectations and prediction errors in pain and thermoception

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Andreas Strube ◽  
Michael Rose ◽  
Sepideh Fazeli ◽  
Christian Büchel
Keyword(s):  
Spectral Characteristics ◽  
Predictive Coding ◽  
Gamma Band ◽  
Beta Activity ◽  
Prediction Errors ◽  
Temporal Aspects ◽  
Neuroimaging Study ◽  
Heat Perception ◽  
Gamma Band Activity ◽  
Band Activity

In the context of a generative model, such as predictive coding, pain and heat perception can be construed as the integration of expectation and input with their difference denoted as a prediction error. In a previous neuroimaging study (Geuter et al., 2017) we observed an important role of the insula in such a model but could not establish its temporal aspects. Here, we employed electroencephalography to investigate neural representations of predictions and prediction errors in heat and pain processing. Our data show that alpha-to-beta activity was associated with stimulus intensity expectation, followed by a negative modulation of gamma band activity by absolute prediction errors. This is in contrast to prediction errors in visual and auditory perception, which are associated with increased gamma band activity, but is in agreement with observations in working memory and word matching, which show gamma band activity for correct, rather than violated, predictions.

scholarly journals The temporal characteristics of expectations and prediction errors in pain

2020 ◽  
Author(s):  
Andreas Strube ◽  
Michael Rose ◽  
Christian Büchel
Keyword(s):  
Prediction Error ◽  
Pain Perception ◽  
Predictive Coding ◽  
Generative Model ◽  
Gamma Activity ◽  
Beta Activity ◽  
Prediction Errors ◽  
Temporal Aspects ◽  
Gamma Band Activity ◽  
Nociceptive Input

In the context of a generative model, such as predictive coding, pain perception can be construed as the integration of expectation and nociceptive input with their difference denoted as a prediction error. In a previous neuroimaging study (Geuter et al., 2017) we observed an important role of the insula in such a model, but could not establish its temporal aspects. Here we employed electroencephalography to investigate neural representations of predictions and prediction errors in heat pain processing. Our data show that alpha-to-beta activity was associated with pain expectation, followed by gamma band activity associated with absolute prediction errors. Source reconstruction revealed the insula as a common region for both effects. This temporal sequence of expectation related alpha-to-beta activity, followed by prediction error associated gamma activity in the insula, provides a possible mechanisms for the temporal integrating of pain predictions and prediction errors in the context of a generative model.

scholarly journals Alpha-to-beta- and gamma-band activity reflect predictive coding in affective visual processing

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Andreas Strube ◽  
Michael Rose ◽  
Sepideh Fazeli ◽  
Christian Büchel
Keyword(s):  
Visual Processing ◽  
Predictive Coding ◽  
Stimulus Presentation ◽  
Gamma Band ◽  
Prediction Errors ◽  
Beta Band ◽  
Picture Processing ◽  
Gamma Band Activity ◽  
Spectral Patterns ◽  
Band Activity

AbstractProcessing of negative affective pictures typically leads to desynchronization of alpha-to-beta frequencies (ERD) and synchronization of gamma frequencies (ERS). Given that in predictive coding higher frequencies have been associated with prediction errors, while lower frequencies have been linked to expectations, we tested the hypothesis that alpha-to-beta ERD and gamma ERS induced by aversive pictures are associated with expectations and prediction errors, respectively. We recorded EEG while volunteers were involved in a probabilistically cued affective picture task using three different negative valences to produce expectations and prediction errors. Our data show that alpha-to-beta band activity after stimulus presentation was related to the expected valence of the stimulus as predicted by a cue. The absolute mismatch of the expected and actual valence, which denotes an absolute prediction error was related to increases in alpha, beta and gamma band activity. This demonstrates that top-down predictions and bottom-up prediction errors are represented in typical spectral patterns associated with affective picture processing. This study provides direct experimental evidence that negative affective picture processing can be described by neuronal predictive coding computations.

scholarly journals Alpha-to-beta- and gamma-band activity reflect predictive coding in affective visual processing

2021 ◽  
Author(s):  
Andreas Strube ◽  
Michael Rose ◽  
Sepideh Fazeli ◽  
Christian Büchel
Keyword(s):  
Visual Processing ◽  
Predictive Coding ◽  
Gamma Band ◽  
Prediction Errors ◽  
Beta Band ◽  
Picture Processing ◽  
Gamma Frequencies ◽  
Gamma Band Activity ◽  
Spectral Patterns ◽  
Band Activity

Processing of negative affective pictures typically leads to desynchronization of alpha-to-beta frequencies (ERD) and synchronization of gamma frequencies (ERS). Given that in predictive coding higher frequencies have been associated with prediction errors, while lower frequencies have been linked to expectations, we tested the hypothesis that alpha-to-beta ERD and gamma ERS induced by aversive pictures are associated with expectations and prediction errors, respectively. We recorded EEG while volunteers were involved in a probabilistically cued affective picture task using three different negative valences to produce expectations and prediction errors. Our data show that alpha-to-beta band activity was related to the expected valence of the stimulus as predicted by a cue. The absolute mismatch of the expected and actual valence, which denotes an absolute prediction error was related to gamma band activity. This demonstrates that top-down predictions and bottom-up prediction errors are represented in specific spectral patterns associated with affective picture processing.

scholarly journals Beta- and gamma-band activity reflect predictive coding in the processing of causal events

2016 ◽  
Vol 11 (6) ◽  
pp. 973-980 ◽  
Author(s):  
Stan van Pelt ◽  
Lieke Heil ◽  
Johan Kwisthout ◽  
Sasha Ondobaka ◽  
Iris van Rooij ◽  
...  
Keyword(s):  
Predictive Coding ◽  
Gamma Band ◽  
Gamma Band Activity ◽  
Band Activity

Gamma band activity in an auditory oddball paradigm studied with the wavelet transform

2001 ◽  
Vol 112 (7) ◽  
pp. 1219-1228 ◽  
Author(s):  
I.G Gurtubay ◽  
M Alegre ◽  
A Labarga ◽  
A Malanda ◽  
J Iriarte ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Gamma Band ◽  
Oddball Paradigm ◽  
Auditory Oddball ◽  
Gamma Band Activity ◽  
Auditory Oddball Paradigm ◽  
Band Activity

scholarly journals Increased Thalamic Gamma Band Activity Correlates with Symptom Relief following Deep Brain Stimulation in Humans with Tourette’s Syndrome

PLoS ONE ◽  
2012 ◽  
Vol 7 (9) ◽  
pp. e44215 ◽  
Author(s):  
Nicholas Maling ◽  
Rowshanak Hashemiyoon ◽  
Kelly D. Foote ◽  
Michael S. Okun ◽  
Justin C. Sanchez
Keyword(s):  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Symptom Relief ◽  
Gamma Band ◽  
Tourette's Syndrome ◽  
Tourette’S Syndrome ◽  
Gamma Band Activity ◽  
Band Activity ◽  
Deep Brain

Gamma band activity and its synchronization reflect the dysfunctional emotional processing in alexithymic persons

2006 ◽  
Vol 43 (6) ◽  
pp. 533-540 ◽  
Author(s):  
Atsushi Matsumoto ◽  
Yoko Ichikawa ◽  
Noriaki Kanayama ◽  
Hideki Ohira ◽  
Tetsuya Iidaka
Keyword(s):  
Emotional Processing ◽  
Gamma Band ◽  
Gamma Band Activity ◽  
Band Activity

scholarly journals FEF-Controlled Alpha Delay Activity Precedes Stimulus-Induced Gamma-Band Activity in Visual Cortex

2017 ◽  
Vol 37 (15) ◽  
pp. 4117-4127 ◽  
Author(s):  
Tzvetan Popov ◽  
Sabine Kastner ◽  
Ole Jensen
Keyword(s):  
Visual Cortex ◽  
Gamma Band ◽  
Gamma Band Activity ◽  
Band Activity

scholarly journals Increased EEG gamma band activity in Alzheimer’s disease and mild cognitive impairment

2008 ◽  
Vol 115 (9) ◽  
pp. 1301-1311 ◽  
Author(s):  
J. A. van Deursen ◽  
E. F. P. M. Vuurman ◽  
F. R. J. Verhey ◽  
V. H. J. M. van Kranen-Mastenbroek ◽  
W. J. Riedel
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Gamma Band ◽  
Gamma Band Activity ◽  
Band Activity

Interictal Abnormalities of Gamma Band Activity in Visual Evoked Responses in Migraine: An Indication of Thalamocortical Dysrhythmia?

Cephalalgia ◽  
2007 ◽  
Vol 27 (12) ◽  
pp. 1360-1367 ◽  
Author(s):  
G Coppola ◽  
A Ambrosini ◽  
L Di Clemente ◽  
D Magis ◽  
A Fumal ◽  
...  
Keyword(s):  
High Frequency ◽  
Gamma Band ◽  
Pattern Reversal ◽  
Evoked Responses ◽  
Visual Evoked Responses ◽  
High Frequency Oscillations ◽  
Thalamocortical Dysrhythmia ◽  
Gamma Band Activity ◽  
Band Activity ◽  
Visual Evoked

Between attacks, migraineurs lack habituation in standard visual evoked potentials (VEPs). Visual stimuli also evoke high-frequency oscillations in the gamma band range (GBOs, 20–35 Hz) assumed to be generated both at subcortical (early GBOs) and cortical levels (late GBOs). The consecutive peaks of GBOs were analysed regarding amplitude and habituation in six successive blocks of 100 averaged pattern reversal (PR)-VEPs in healthy volunteers and interictally in migraine with (MA) or without aura patients. Amplitude of the two early GBO components in the first PR-VEP block was significantly increased in MA patients. There was a significant habituation deficit of the late GBO peaks in migraineurs. The increased amplitude of early GBOs could be related to the increased interictal visual discomfort reported by patients. We hypothesize that the hypo-functioning serotonergic pathways may cause, in line with the thalamocortical dysrhythmia theory, a functional disconnection of the thalamus leading to decreased intracortical lateral inhibition, which can induce dishabituation.

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