Publications related to Pre-movement sensorimotor oscillations shape the sense of agency by gating cortical connectivity

Related publications (22)

Functional-based parcellation of the mouse prefrontal cortex for network perturbation analysis

The prefrontal cortex (PFC) is a brain region involved in higher-order cognitive processes such as attention, emotional regulation, and social behavior. However, the delineation of distinct subdivisions within the mouse PFC and their contributions to the b ...

2025

A Reconfigurable High-Dynamic Range ∆Σ Front-End with Event-Based Decimation for Bandwidth-Efficient Implantable Neural Interfaces

David Atienza Alonso, Giovanni Ansaloni, Pasquale Davide Schiavone, Juan Pablo Sapriza Araujo

As the demand for high channel counts and high-resolution recordings of neural activity continues to grow, the increased power and data rate generated impose hard constraints on the telemetry capabilities of wireless implantable neural interfaces. To addre ...

IEEE2025

Unraveling behavior and cortical signals to guide the development of soft neuroprostheses for auditory restoration and spreading depolarization

Emilie Cornelia Maria Revol

Neuroprostheses have been used clinically for decades, to help restore or preserve brain functions, when pharmaceutical treatments are inefficient. Although great progress in the field has been made over the years to interface with the nervous system, surf ...

EPFL2024

Differences in spatiotemporal brain network dynamics of Montessori and traditionally schooled students

Solange Noémie Jeanne Denervaud

Across development, experience has a strong impact on the way we think and adapt. School experience affects academic and social-emotional outcomes, yet whether differences in pedagogical experience modulate underlying brain network development is still unk ...

NATURE PORTFOLIO2024

New Sensory Method for Neural Activity by Frequency Upconversion With Nonlinear Element

Sandro Carrara, Gian Luca Barbruni, Ali Meimandi

Traditional analog front-ends for biomedical signal acquisitions operate at very low frequencies (Hz-range) and are severely affected by flicker and environmental noise, which degrade the quality of low-frequency signals, thereby reducing the signal-to-noi ...

2024

A multi-modal fitting approach to construct single-neuron models with patch clamp and high-density microelectrode arrays

Henry Markram, Werner Alfons Hilda Van Geit, Tanguy Pierre Louis Damart, Darshan Mandge, Aurélien Tristan Jaquier, Mickael Maurice Zbili

In computational neuroscience, multicompartment models are among the most biophysically realistic representations of single neurons. Constructing such models usually involves the use of the patch-clamp technique to record somatic voltage signals under diff ...

2024

Noninvasive deep brain stimulation to modulate human behavior by means of transcranial temporal interference electrical stimulation

Elena Beanato

All functions we use in our everyday life depend on a complex interplay between both cortical and subcortical brain areas, communicating in between each others. When a region is affected by either an accident, aging or neurodegenerative diseases, the whole ...

EPFL2023

EEG-Based Online Regulation of Difficulty in Simulated Flying

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Ping-Keng Jao

Adaptively increasing the difficulty level in learning was shown to be beneficial than increasing the level after some fixed time intervals. To efficiently adapt the level, we aimed at decoding the subjective difficulty level based on Electroencephalograph ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Brain connectome correlates of short-term motor learning in healthy older subjects

Friedhelm Christoph Hummel, Takuya Morishita, Chang-Hyun Park, Manon Chloé Durand-Ruel, Maeva Moyne

The motor learning process entails plastic changes in the brain, especially in brain network reconfigurations. In the current study, we sought to characterize motor learning by determining changes in the coupling behaviour between the brain functional and ...

Elsevier Masson, Corp Off2023

Modulation of brain signals during sensorimotor and imaging tasks in a person with an implanted upper-limb prosthesis following amputation of the left hand Analysis of amputee's sensory-motor activity

Silvestro Micera, Fabrizio Vecchio

Elsevier France-Editions Scientifiques Medicales Elsevier2023

Exploring the heterogeneous morphometric data in essential tremor with probabilistic modelling

Dimitri Nestor Alice Van De Ville, Constantin Tuleasca

Essential tremor (ET) is a prevalent movement disorder characterized by marked clinical heterogeneity. Here, we explored the morphometric underpinnings of this cross-subject variability on a cohort of 34 patients with right -dominant drug-resistant ET and ...

2023

Pre-stimulus alpha activity modulates long-lasting unconscious feature integration

Michael Herzog, David Pascucci, Maëlan Quentin Menétrey

Pre-stimulus alpha (α) activity can influence perception of shortly presented, low-contrast stimuli. The underlying mechanisms are often thought to affect perception exactly at the time of presentation. In addition, it is suggested that α cycles determine ...

2023

Real-time and Recursive Estimators for Functional MRI Quality Assessment

Dimitri Nestor Alice Van De Ville, Nicolas Gninenko

Real-time quality assessment (rtQA) of functional magnetic resonance imaging (fMRI) based on blood oxygen level-dependent (BOLD) signal changes is critical for neuroimaging research and clinical applications. The losses of BOLD sensitivity because of diffe ...

HUMANA PRESS INC2022

Structure supports function: Informing directed and dynamic functional connectivity with anatomical priors

David Pascucci

The dynamic repertoire of functional brain networks is constrained by the underlying topology of structural connections. Despite this intrinsic relationship between structural connectivity (SC) and functional connectivity (FC), integrative and multimodal a ...

Massachusetts Institute of Technology2022

Post-stroke reorganization of transient brain activity characterizes deficits and of functions

Dimitri Nestor Alice Van De Ville, Elvira Pirondini, Nawal Noëlle Kinany

Functional magnetic resonance imaging (fMRI) has been widely employed to study stroke pathophysiology. In particular, analyses of fMRI signals at rest were directed at quantifying the impact of stroke on spatial features of brain networks. However, brain n ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from theENIGMABipolar Disorder Working Group

Erick Jorge Canales Rodriguez, Jorge Miguel Dias Almeida Rodrigues Soares

MRI-derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding ...

Wiley2022

Functional Segregation within the Dorsal Frontoparietal Network: A Multimodal Dynamic Causal Modeling Study

Estelle Emeline Raffin, Adrien Jean-Baptiste Witon

Discrimination and integration of motion direction requires the interplay of multiple brain areas. Theoretical accounts of perception suggest that stimulus-related (i.e., exogenous) and decision-related (i.e., endogenous) factors affect distributed neurona ...

OXFORD UNIV PRESS INC2021

Towards adaptive deep brain stimulation: clinical and technical notes on a novel commercial device for chronic brain sensing

Grégoire Courtine

Objective. Technical advances in deep brain stimulation (DBS) are crucial to improve therapeutic efficacy and battery life. We report the potentialities and pitfalls of one of the first commercially available devices capable of recording brain local field ...

IOP PUBLISHING LTD2021

Connectome spectral analysis to track EEG task dynamics on a subsecond scale

Patric Hagmann, David Pascucci, Gijs Plomp, Michaël Defferrard

We present an approach for tracking fast spatiotemporal cortical dynamics in which we combine white matter connectivity data with source-projected electroencephalographic (EEG) data. We employ the mathematical framework of graph signal processing in order ...

2020

Exploring dynamic functional connectivity by incorporating prior knowledge of brain structure

Anjali Bagunu Tarun

The synchronized firing of distant neuronal populations gives rise to a wide array of functional brain networks that underlie human brain function. Given the enormous perception, learning, and cognition potential of the human brain, it is not surprising th ...

EPFL2020