CoPhy team

CoPhy team

@cophy.bsky.social

Computation, Cognition, & Neurophysiology team at CRNL, Lyon, France

159 followers141 following34 posts

CoPhy team reposted

We were able to identify two distinct alpha frequencies with different processing specificities (modulatory and feature-related) and laminar profiles. Higher alpha frequency was associated with better performance in the visual oddball detection task participants had to perform.

We conclude that alpha band oscillations play a role beyond widespread inhibition and may be actively involved in stimulus processing at the level of visual features!

Congratulations to Viktoriya Manyukhina for leading and mastering these complex analyses! The key results of this work have been successfully replicated in children (bioRxiv)!

Our findings reveal that muscle inhibition (indexed by reduced EMG signal) in the load-supporting arm in anticipation of self-initiated lifting is linked to decreased cortical excitability in the SMA (indexed by reduced high-gamma activity) and specific beta bursts in the same area.

Burst-centered connectivity analysis further revealed directed influence from lateral prefrontal and premotor cortex, supporting anticipatory muscle inhibition.

CoPhy team reposted

Currently recruiting 2 postdoc fellows, 1 Ph.D student and 1 research assistant to work on research projects about the EEG/fMRI mechanisms underlying temporal cognition and their modulations using VR. DM if interested!

Curious about our good old alpha rhythm, but not sure where to start or how to deepen your understanding? Dive into the newly released extensive review paper by Ole Jensen & Mathilde Bonnefond! It offers an overview of the field and highlights the key questions that will shape future research

doi.orgThe alpha rhythm: from physiology to behaviour | Physiological Reviews | American Physiological SocietyThe alpha rhythm, first identified by Hans Berger 100 years ago, is the dominant non-invasive electrophysiological signature of the healthy human brain in the awake state. For decades, it was believed that the alpha rhythm reflected rest or idling; however, this perspective changed in the 2000s when researchers found that alpha oscillations increase with cognitive demands. This discovery led to a paradigm shift, demonstrating that alpha oscillations reflect the functional inhibition of brain regions that are not needed for a specific task, thereby directing information to task-specific areas. We have reviewed the physiological mechanisms involved in generating alpha oscillations, which has informed computational models explaining how these oscillations emerge within physiologically realistic networks. At the behavioural level, alpha oscillations are strongly modulated across nearly all cognitive paradigms tested in humans, reflecting the allocation of computational resources within the active brain network. Research in individuals with attention-related issues has highlighted their impaired ability to modulate alpha oscillations, which is associated with performance deficits. Therefore, further exploration of alpha oscillations has the potential to uncover causal mechanisms underlying attention problems, such as those related to ADHD and ageing. Lastly, advancements in technology are opening new avenues for characterising alpha oscillations in ecologically valid settings and across the lifespan. This progress sets the stage for exploring the role of alpha oscillations in cognitive development and their functioning in natural environments.

CoPhy team reposted

This paper describes a way to incorporate beta bursts in pipelines of motor imagery BCI and shows that beta bursts outperform signal power in terms of classification accuracy and information transfer rate

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We also discuss alternative mechanisms, also based on alpha oscillations, that help resist distraction. Some of these mechanisms involve alpha oscillations in the parietal region and the ventral attention network.

In this paper, we discuss the ongoing debate regarding whether alpha oscillations play a role in suppressing the processing of distractors by modulating gain in early sensory regions. We hope it is considered balanced and provides guidance for future work

This paper describes a neural mass model that integrates plasticity under epileptic activity. The model helps to better understand the formation of epileptogenic networks in the presence of an epileptic focus

CoPhy team reposted

Recent findings suggest that beta band brain activity occurs in bursts rather than sustained oscillations. In this study we analyze EEG recordings of hand motor imagery BCI tasks and show that on the single-trial level beta burst rate modulations are advantageous to beta power in terms of decoding.

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