Low-Frequency Oscillatory Correlates of Auditory Predictive Processing in Cortical-Subcortical Networks: A MEG-Study

Recasens, Marc; Groß, Joachim; Uhlhaas, Peter J.

doi:10.1038/s41598-018-32385-3

Cited by 37 publications

(35 citation statements)

References 93 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…That is, upon presentation of a predictive cue or context, the hippocampus may retrieve the associated outcome through pattern completion (14,21), regardless of the exact nature of the stimuli. This is in line with evidence that the hippocampus is involved in many different types of predictions, pertaining to, for example, faces and scenes (22), auditory sequences (23), odors (24), and spatial locations (19,25).…”

Section: Introductionsupporting

confidence: 89%

Content-based dissociation of hippocampal involvement in prediction

Kok

Rait

Turk‐Browne

2019

Preprint

View full text Add to dashboard Cite

Significance StatementTo deal with the noisy and ambiguous sensory signals received by our brain, it is crucial to use prior knowledge of the world to guide perception. Previous research suggests that the hippocampus is involved in predicting upcoming visual stimuli based on prior knowledge. In the current study, we show that hippocampal prediction is specific to expectations of complex objects, whereas for simple features the hippocampus generates an opposite prediction error signal instead. These findings demonstrate that the computational role of the hippocampus can be content-sensitive and refine our understanding of the involvement of memory systems in predictive processing.

show abstract

Section: Introductionsupporting

confidence: 89%

Content-based dissociation of hippocampal involvement in prediction

Kok

Rait

Turk‐Browne

2019

Preprint

View full text Add to dashboard Cite

show abstract

“…By analysing inter-trial coherence in six regions of interest, this chapter has reported that following tone omission, phase synchrony increased within the A1 and STG for low frequencies, from 2-10Hz. This is consistent with previous studies which have investigated the oscillatory basis of oddball responses (Recasens, Gross, & Uhlhaas, 2018;Stothart & Kazanina, 2013). However, we did not find any group differences in ITC values, perhaps due to the stringent statistical correction needed for correcting p-values over frequency, time and ROI .…”

Section: Discussionsupporting

confidence: 93%

Atypical cortical connectivity in autism spectrum disorder (ASD) as measured by magnetoencephalography (MEG)

Seymour¹,

Sowman²,

Kessler³

2019

Preprint

View full text Add to dashboard Cite

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition, characterised by impairments in social interaction and communication, the presence of repetitive behaviours, and multisensory hyper- and hypo-sensitives. This thesis utilised magnetoencephalography, in combination with robust analysis techniques, to investigate the neural basis of ASD. Based on previous research, it was hypothesised that cortical activity in ASD would be associated with disruptions to oscillatory synchronisation during sensory processing, as well as during high-level perspective-taking. More specifically, a novel framework was introduced, based on local gamma-band dysregulation, global hypoconnectivity and deficient predictive-coding. To test this framework, data were collected from adolescents diagnosed with ASD and age-matched controls.Using a visual grating stimulus, it was found that in primary visual cortex, ASD participants had reduced coupling between the phase of alpha oscillations and the amplitude of gamma oscillations (i.e. phase amplitude coupling), suggesting dysregulated visual gamma in ASD. These findings were based on a robust analysis pipeline outlined in Chapter 2. Next, directed connectivity in the visual system was quantified using Granger causality. Compared with controls, ASD participants showed reductions in feedback connectivity, mediated by alpha oscillations, but no differences in inter-regional feedforward connectivity, mediated by gamma oscillations. In the auditory domain, it was found that ASD participants had reduced steady-state responses at 40Hz, in terms of oscillatory power and inter-trial coherence, again suggesting dysregulated gamma. Investigating predictive-coding theories of ASD using an auditory oddball paradigm, it was found that evoked responses to the omission of an expected tone were reduced for ASD participants. Finally, we found reductions in theta-band oscillatory power and connectivity for ASD participants, during embodied perspective-taking. Overall, these findings fit the proposed framework, and demonstrate that cortical activity in ASD is characterised by disruptions to oscillatory synchronisation, at the local and global scales, during both sensory processing and higher-level perspective-taking.Keywords: Autism Spectrum Disorder; Magnetoencephalography; Oscillations; Phase Amplitude Coupling; Connectivity.

show abstract

“…Low frequency theta oscillations would contribute to the behavioural adjustments following the detection of an error. For example, theta oscillations elicited by sound in the fronto-temporo-parietal network are modulated in phase and power when detecting deviations in a sequence of standard tones (Hsiao et al, 2009;Recasens et al, 2018).…”

Section: Oscillatory Neuronal Activity and Network Architecture Allowmentioning

confidence: 99%

Why do we move to the beat? A multi-scale approach, from physical principles to brain dynamics

Damm

Varoqui

Cock

et al. 2020

Neuroscience & Biobehavioral Reviews

View full text Add to dashboard Cite

Humans' ability to synchronize movement with auditory rhythms relies on motor networks, such as cortical areas, basal ganglia and the cerebellum, which also participate in rhythm perception and movement production. Current research has provided insights into the dependence of this action-perception coupling upon the entrainment of neuronal activity by external rhythms. At a physical level, advances on wearable robotics have enriched our understanding of the dynamical properties of the locomotor system showing evidences of mechanical entrainment. Here we defend the view that modelling brain and locomotor oscillatory activities as dynamical systems, at both neural and physical levels, provides a unified theoretical framework for the understanding of externally driven rhythmic entrainment of biological systems. To better understand the underlying mechanisms of this multi-level entrainment during locomotion, we review in a common framework the core questions related to the dynamic properties of biological oscillators and the neural bases of auditory-motor synchronization. Illustrations of our approach, using personalized auditory stimulation, to gait rehabilitation in Parkinson disease and to manipulation of runners' kinematics are presented.

show abstract

Low-Frequency Oscillatory Correlates of Auditory Predictive Processing in Cortical-Subcortical Networks: A MEG-Study

Cited by 37 publications

References 93 publications

Content-based dissociation of hippocampal involvement in prediction

Content-based dissociation of hippocampal involvement in prediction

Atypical cortical connectivity in autism spectrum disorder (ASD) as measured by magnetoencephalography (MEG)

Why do we move to the beat? A multi-scale approach, from physical principles to brain dynamics

Contact Info

Product

Resources

About