Publications related to Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes

Related publications (15)

A diffusion MRI model for random walks confined on cylindrical surfaces: towards non-invasive quantification of myelin sheath radius

Jean-Philippe Thiran, Erick Jorge Canales Rodriguez, Elda Fischi Gomez

Introduction Quantifying the myelin sheath radius of myelinated axons in vivo is important for understanding, diagnosing, and monitoring various neurological disorders. Despite advancements in diffusion MRI (dMRI) microstructure techniques, there are curre ...

FRONTIERS MEDIA SA2025

Cerebellar dysfunction in frontotemporal dementia: intra-cerebellar pathology and cerebellar network degeneration

Bernard Schneider

Background: Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) share overlapping clinical, genetic, and neuroimaging features; a spectrum of conditions commonly referred to as the ALS-FTD continuum. The majority of imaging studies focus ...

2025

The visuomotor transformations underlying target-directed behavior

Thomas Ka Chung Lam

The visual system can process diverse stimuli and make the decision to execute appropriate behaviors, but it remains unclear where and how this transformation takes place. Innate visually evoked behaviors such as hunting, freezing, and escape are thought t ...

2025

Fast 3D 31P B1+ mapping with a weighted stack of spiral trajectory at 7 T

Salomé Sophie Célestine Baup, Lijing Xin, Katarzyna Pierzchala, Daniel Wenz, Mark Stephan Widmaier, Ying Xiao, Zhiwei Huang, Antonia Kaiser

Purpose: Phosphorus MRS (31P MRS) enables noninvasive assessment of energy metabolism, yet its application is hindered by sensitivity limitations. To overcome this, often high magnetic fields are used, leading to challenges such as spatial (Formula present ...

Wiley2025

Automated Ensemble Multimodal Machine Learning for Healthcare

Lucas Salomon Brunschwig

The application of machine learning in medicine and healthcare has led to the creation of numerous diagnostic and prognostic models. However, despite their success, current approaches generally issue predictions using data from a single modality. This stan ...

2025

An integrative computational modeling approach for Drosophila motor control

Pembe Gizem Ozdil

Animal motor control arises from the intricate interplay between neural circuits, biomechanics, and sensory feedback. Deciphering how these components interact is essential for uncovering the fundamental principles of movement generation. This dissertation ...

EPFL2025

The Effect of User Learning for Online Eeg Decoding of Upper-limb Movement Intention

Silvestro Micera

Electroencephalography (EEG) based brain-computer interfaces (BCIs) offer a promising way for individuals with motor impairments to control prosthetic or rehabilitation devices. Accurately decoding movement intention (MI) is crucial for translating subject ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2025

Tonic and burst-like locus coeruleus stimulation distinctly shift network activity across the cortical hierarchy

Valerio Zerbi, Christina Maria Grimm

Noradrenaline (NA) release from the locus coeruleus (LC) changes activity and connectivity in neuronal networks across the brain, modulating multiple behavioral states. NA release is mediated by both tonic and burst-like LC activity. However, it is unknown ...

NATURE PORTFOLIO2024

In-Silico Trained AI for Enhanced T2Spectrum Imaging and Myelin Water Fraction Mapping in Preclinical 7T MRI

Jean-Philippe Thiran, Erick Jorge Canales Rodriguez, Thomas Yu

This study introduces a Machine Learning (ML) approach for estimating the T2 spectrum and myelin water fraction (MWF) using multi-echo T2 (MET2) data from preclinical 7T Magnetic Resonance Imaging (MRI) scanners. ML methods have shown promise in MWF estima ...

IEEE Computer Society2024

Cell density quantification of high resolution Nissl images of the juvenile rat brain

Csaba Zsolnai, Henry Markram, Daniel Keller, Olivier Burri, Rodrigo de Campos Perin, Ying Shi, Julie Meystre, João Luís Prado Vieira, Jean Nicolas Jacquemier

Copyright © 2024 Meystre, Jacquemier, Burri, Zsolnai, Frank, Vieira, Shi, Perin, Keller and Markram.Nissl histology underpins our understanding of brain anatomy and architecture. Despite its importance, no high-resolution datasets are currently available i ...

2024

Automated Quantitative Susceptibility and Morphometry MR Study: Feasibility and Interrelation Between Clinical Score, Lesion Load, Deep Grey Matter and Normal-Appearing White Matter in Multiple Sclerosis

Tobias Kober, Meritxell Bach Cuadra, Bénédicte Marie Maréchal, Tom Hilbert

Lesion load (LL), deep gray matter (DGM) and normal-appearing white matter (NAWM) susceptibility and morphometry may help in monitoring brain changes in multiple sclerosis (MS) patients. We aimed at evaluating the feasibility of a fully automated segmentat ...

2024

Neurobiological and metabolic basis of motivation and effort-based decision-making - A human 1H-MRS, fMRI and machine learning study

Arthur Barakat

Motivation is a multifaceted phenomenon that we explore within the framework of decision-making. Through this cognitive process, actions are directed towards specific goals by performing a trade-off between the cost and benefit of an action. The dorsomedia ...

EPFL2024

Scintillation event imaging with a single photon avalanche diode camera

Edoardo Charbon

Position and time measurements of scintillation events encode information about the radiation source. Single photon avalanche diode (SPAD) arrays offer multiple-megapixel spatial resolution and tens of picoseconds temporal resolution for detecting single p ...

2024

Decoding Lower Limb Motor Attempts from EEG Signals in a Spinal Cord Injury Patient with Epidural Electrical Implant

Silvestro Micera, Vincent Alexandre Mendez, Leonardo Pollina, Valeria De Seta

Epidural electrical stimulation (EES) has been employed to restore motor functions in the lower limbs of patients with spinal cord injuries (SCIs). However, non-invasive methods for controlling this stimulation have not yet been explored. This study aims t ...

Springer Science and Business Media Deutschland GmbH2024

Connectomic reconstruction of a female Drosophila ventral nerve cord

Jasper Taylor Phelps

A deep understanding of how the brain controls behaviour requires mapping neural circuits down to the muscles that they control. Here, we apply automated tools to segment neurons and identify synapses in an electron microscopy dataset of an adult female Dr ...

NATURE PORTFOLIO2024