Publications associées à Mapping the Human Brain with Computational Anatomy

Publications associées (13)

A dataset of synthetic, maturation-informed magnetic resonance images of the human fetal brain

Andrés Le Boeuf Fló, Meritxell Bach Cuadra

Magnetic resonance imaging (MRI) is a powerful modality for investigating abnormal developmental patterns in utero. However, since it is not the first-line diagnostic tool in this sensitive population, data remain scarce and heterogeneous across scanners a ...

2025

Removing Facial Features From Structural Mri Images Biases Visual Quality Assessment

Patric Hagmann, Elda Fischi Gomez, Oscar Esteban Rucavado Leandro, Jonas Richiardi, Thomas Sanchez

A critical step before data-sharing of human neuroimaging is removing facial features to protect individuals' privacy. However, not only does this process redact identifiable information about individuals, but it also removes non-identifiable information. ...

PUBLIC LIBRARY SCIENCE2025

Oscillatory Traveling Waves Provide Evidence for Predictive Coding Abnormalities in Schizophrenia

Michael Herzog, Dario Alejandro Gordillo Lopez

Background: The computational mechanisms underlying psychiatric disorders are hotly debated. One hypothesis, grounded in the Bayesian predictive coding framework, proposes that patients with schizophrenia have abnormalities in encoding prior beliefs about ...

2025

Direct imaging of neuronal activity: a multivariate perspective on DIANA data in human subjects

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

Functional magnetic resonance imaging (fMRI) relies upon the blood-oxygenation-level-dependent (BOLD) signal as a proxy for neuronal activity. Whole-brain coverage and millimetric resolution have propelled this modality as a workhorse for human neuroscienc ...

European Signal Processing Conference, EUSIPCO2024

Nissl_1, Raw images for Machine learning for histological annotation and quantification of cortical layers

Julie Meystre

This dataset contains images (TIFF image data) of brain juvenile rats Wistar Han (P14) scanned immunostained slides by using an automated slide scanner (Olympus, VS120-L100, GER) equipped with a UPLSAPO 20x/0.75 air objective (Olympus, GER) and a Pike F5 ...

Zenodo2024

Connectome spectrum electromagnetic tomography: A method to reconstruct electrical brain source networks at high-spatial resolution

David Pascucci, Joan Rue Queralt

Connectome spectrum electromagnetic tomography (CSET) combines diffusion MRI-derived structural connectivity data with well-established graph signal processing tools to solve the M/EEG inverse problem. Using simulated EEG signals from fMRI responses, and t ...

Wiley2024

Implantable Biosensor for Brain Dopamine using Microwire-Based Electrodes

Sandro Carrara, Ali Meimandi

This paper systematically demonstrates the feasibility of wirelessly monitoring dopamine concentration in the brain with an implantable biosensor. The biosensor was realized using microwires, and then, the dopamine concentration was measured in-vitro rangi ...

IEEE2023

Brain networks subserving functional core processes of emotions identified with componential modeling

Dimitri Nestor Alice Van De Ville

Despite a lack of scientific consensus on the definition of emotions, they are generally considered to involve several modifications in the mind, body, and behavior. Although psychology theories emphasized multi-componential characteristics of emotions, li ...

OXFORD UNIV PRESS INC2023

p Robotically-induced hallucination triggers subtle changes in brain network transitions

Dimitri Nestor Alice Van De Ville, Olaf Blanke, Giulio Rognini, Thomas William Arthur Bolton, Nathan Quentin Faivre, Eva Blondiaux, Herberto Dhanis Pedro De Barros Camacho

The perception that someone is nearby, although nobody can be seen or heard, is called presence hallucination (PH). Being a frequent hallucination in patients with Parkinson's disease, it has been argued to be indicative of a more severe and rapidly advanc ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

Toward an information theoretical description of communication in brain networks

Enrico Amico

Modeling communication dynamics in the brain is a key challenge in network neuroscience. We present here a framework that combines two measurements for any system where different communication processes are taking place on top of a fixed structural topolog ...

MIT PRESS2021

Modeling Network Populations via Graph Distances

Sofia Charlotta Olhede

This article introduces a new class of models for multiple networks. The core idea is to parameterize a distribution on labeled graphs in terms of a Frechet mean graph (which depends on a user-specified choice of metric or graph distance) and a parameter t ...

AMER STATISTICAL ASSOC2021

Alterations in Sub-Axonal Architecture Between Normal Aging and Parkinson’s Diseased Human Brains Using Label-Free Cryogenic X-ray Nanotomography

Henning Paul-Julius Stahlberg, Amanda Jennifer Lewis, Manuel Guizar Sicairos

2020

Functional consequences of brain glycogen deficiency on the sleep-wake cycle regulation in PTG-KO mice

Pierre Magistretti, Igor Allaman, Gabriele Grenningloh, Sophie Burlet Godinot

WILEY2018