We have published a new article in collaboration avec Véronique Marchand-Pauvert (Paris), Sabine Liebscher (Munich/Cologne) and Caroline Rouaux (Strasbourg). In this Science Translational Medicine paper we show that the cross-frequency coupling analyses we have used in previous papers can serve as a promising biomarker for Amyotrophic lateral sclerosis (ALS). ALS is a devastating neurodegenerative disease,Lire la suite « Cortical cross-frequency coupling alterations as a novel biomarker of ALS? »
Archives de la catégorie : Publication
Hippocampal gamma oscillatory complexity is not noise but reflects behavior and learning
Our FunSy paper on gamma oscillatory complexity in hippocampus is out in Nature Comms! The hippocampus and entorhinal cortex exhibit rich oscillatory patterns critical for cognitive functions. In the hippocampal region CA1, specific gamma-frequency oscillations, timed at different phases of the ongoing theta rhythm, are hypothesized to facilitate the integration of information from varied sources andLire la suite « Hippocampal gamma oscillatory complexity is not noise but reflects behavior and learning »
Brain-state-dependent constraints on claustrocortical communication and function
Our new paper in collaboration with Jesse Jackson (Edmonton) is out ! Neural activity in the claustrum has been associated with a range of vigilance states, yet the activity patterns and efficacy of synaptic communication of identified claustrum neurons have not been thoroughly determined. Here, we show that claustrum neurons projecting to the retrosplenial cortex are most active during synchronized cortical statesLire la suite « Brain-state-dependent constraints on claustrocortical communication and function »
Different Faces of Medial Beta-Band Activity Reflect Distinct Visuomotor Feedback Signals
Beta-band activity reflects neural processes well beyond sensorimotor functions, including cognition and motivation. In this Journal of Neuroscience article in collaboration with Nicola Malfait (Marseille), by disentangling alternative spatio-temporal-spectral patterns of possible beta-oscillatory activity, we reconcile a seemingly discrepant literature. First, high-beta power in the medial frontal cortex showed opposite modulations separated in time inLire la suite « Different Faces of Medial Beta-Band Activity Reflect Distinct Visuomotor Feedback Signals »
Competing neural representations of choice shape evidence accumulation in humans
Making adaptive choices in dynamic environments requires flexible decision policies. Previously, we showed how shifts in outcome contingency change the evidence accumulation process that determines decision policies. In this eLife article we published in collaboration with Jonathan Rubin, Timothy Verstynen (Pittsburgh, PA) et al, we used in silico experiments to generate predictions and show howLire la suite « Competing neural representations of choice shape evidence accumulation in humans »
Perturbed Information Processing Complexity in Experimental Epilepsy
Usually we think that pathologies, as epilepsy, are associated to disruptions of the neural circuit mediating function. These disruptions certainly exist and are related e.g. to seizure events, which are rare and transient events. On the contrary, comorbidities, such as cognitive deficits, which often accompany epilepsies, constitute a basal state. This suggests that neural dynamics,Lire la suite « Perturbed Information Processing Complexity in Experimental Epilepsy »
Decomposing neural functions into information processing primitives?
We can easily name brain functions, and we are well informed about brain structure. However, it is not easy to bridge the gap between the two. Part of the problem is that simple circuit mechanisms do not directly give rise to high-level functions. Yet, they already implement simpler forms of information processing, a sort ofLire la suite « Decomposing neural functions into information processing primitives? »
Dynamic before time-averaged Functional Connectivity is destructured in Alzheimer’s Disease
Brain functions emerge from the coordinated dynamics of many brain regions. Dynamic functional connectivity (dFC) analyses are a key tool to describe such dynamic complexity and have been shown to be good predictors of cognitive performance. This is particularly true in the case of Alzheimer’s disease (AD) in which an impoverished dFC could indicate compromisedLire la suite « Dynamic before time-averaged Functional Connectivity is destructured in Alzheimer’s Disease »
From Event Related Potentials to Event Related Variability
In carefully designed experimental paradigms, cognitive scientists interpret the mean event-related potentials (ERP) in terms of cognitive operations. However, the huge signal variability from one trial to the next, questions the representability of such mean events. In our NeuroImage paper in collaboration with Ghislaine Dehaene (Neurospin, Paris-Saclay), we explored whether this variability is an unwantedLire la suite « From Event Related Potentials to Event Related Variability »
When neural manifolds are useful to repair signal artifacts
Electrophysiology recordings are frequently affected by artifacts (e.g., subject motion or eye movements), which reduces the number of available trials and affects the statistical power. When artifacts are unavoidable and data are scarce, signal reconstruction algorithms that allow for the retention of sufficient trials become crucial. In our paper published on Sensors, in collaboration withLire la suite « When neural manifolds are useful to repair signal artifacts »