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

Publications associées (19)

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

Olaf Blanke, Bruno Herbelin, Nathaniel Evans, Bastien Orset

Our sense of agency, the subjective experience of controlling our actions, is a crucial component of self-awareness and motor control. It is thought to originate from the comparison between intentions and actions across broad cortical networks. However, th ...

2025

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

Development and evaluation of a near-infrared photovoltaic implant for wireless neural stimulation

Danashi Imani Medagoda

Neural implants have demonstrated efficacy in implementing therapies for neurological disorders but their rigid design often leads to complications due to the mechanical mismatch with soft neural tissue. Current research focuses on developing flexible elec ...

EPFL2024

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

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

Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part I: Anatomy

Henry Markram, Kathryn Hess Bellwald, Felix Schürmann, Daniel Keller, Eilif Benjamin Muller, Michael Reimann, Werner Alfons Hilda Van Geit, Lida Kanari, Srikanth Ramaswamy, Matthias Wolf, James Gonzalo King, Alexis Arnaudon, Ying Shi, András Ecker, Jean-Denis Georges Emile Courcol, Armando Romani, Pramod Shivaji Kumbhar, Judit Planas Carbonell, Michael Emiel Gevaert, Fernando Joaquim Leite Pereira, Liesbeth Maria L Vanherpe, Huanxiang Lu, Daniela Egas Santander, James Bryden Isbister, Ran Levi, Benoît Jean-Albert Coste, Samuel Lieven D. Lapere, Sirio Bolaños Puchet, Juan Bautista Hernando Vieites, Cyrille Pierre Henri Favreau, Joni Henrikki Herttuainen, Christoph Pokorny, Vishal Sood, Thomas Brice Delemontex, Adrien Michel Achille Devresse, Nicolas René Jean Ninin, Alexander Dietz, Hugo Thabo Dictus, Gianluca Ficarelli

The function of the neocortex is fundamentally determined by its repeating microcircuit motif, but also by its rich, hierarchical, interregional structure with a highly specific laminar architecture. The last decade has seen the emergence of extensive new ...

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

Human threat circuits: Threats of pain, aggressive conspecific, and predator elicit distinct BOLD activations in the amygdala and hypothalamus

Georg Michael Joachim Starke

IntroductionThreat processing, enabled by threat circuits, is supported by a remarkably conserved neural architecture across mammals. Threatening stimuli relevant for most species include the threat of being attacked by a predator or an aggressive conspeci ...

2023

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

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

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

Editorial: Nanomaterials for Communicating With the Brain

Diego Ghezzi

FRONTIERS MEDIA SA2022

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

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

Unbiased interrogation of whole brain circuits in spinal cord injury leading to the design of a clinically relevant therapy to improve locomotion

Newton Cho

Spinal cord injury (SCI) remains a global problem, and despite decades of research there currently is no cure for this disease. Recently, significant advances in the use of neuroprosthetic rehabilitation to improve locomotor outcomes after SCI have been ma ...

EPFL2021

HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data

Eilif Benjamin Muller, Werner Alfons Hilda Van Geit, Armando Romani

Anatomically and biophysically detailed data-driven neuronal models have become widely used tools for understanding and predicting the behavior and function of neurons. Due to the increasing availability of experimental data from anatomical and electrophys ...

2021

Ultrasound Stimulations Induce Prolonged Depolarization and Fast Action Potentials in Leech Neurons

Silvestro Micera, Théo Lemaire

Objective: Ultrasound (US) stimulation carries the promise of a selective, reversible, and non-invasive modulation of neural activity without the need for genetic manipulation of neural structures. However, the mechanisms of US-induced generation of action ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

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

Synchronous nonmonotonic changes in functional connectivity and white matter integrity in a rat model of sporadic Alzheimer's disease

Bernard Lanz, Carole Poitry-Yamate, Katarzyna Pierzchala, Ileana Ozana Jelescu, Ting Yin, Yujian Diao

Brain glucose hypometabolism has been singled out as an important contributor and possibly main trigger to Alzheimer's disease (AD). Intracerebroventricular injections of streptozotocin (icv-STZ) cause brain glucose hypometabolism without systemic diabetes ...

2020