Publication

Volume-based vs. voxel-based brain morphometry in Alzheimer's disease prediction

Publications associées (11)

Compressed sensing (CS) MP2RAGE versus standard MPRAGE: A of derived brain volume measurements

Tobias Kober, Tom Hilbert, Gian Franco Piredda

Purpose: T1 Magnetization Prepared Two Rapid Acquisition Gradient Echo (MP2RAGE) with compress sensing (CS) has been proposed as an improvement of the standard MPRAGE sequence with multiple advantages including reduced acquisition time needed to provide a ...

ELSEVIER SCI LTD2022

Measuring compartmental T-2-orientational dependence in human brain white matter using a tiltable RF coil and diffusion-T-2 correlation MRI

Muhamed Barakovic

The anisotropy of brain white matter microstructure manifests itself in orientational-dependence of various MRI contrasts, and can result in significant quantification biases if ignored. Understanding the origins of this orientation-dependence could enhanc ...

2021

Test-retest variability of brain morphometry analysis: an investigation of sequence and coil effects

Tobias Kober, Bénédicte Marie Maréchal

Background: Precise and reliable brain morphometry analysis is critical for clinical and research purposes. The magnetization-prepared rapid gradient echo (MPRAGE), multi-echo MPRAGE (MEMPRAGE) and magnetization-prepared 2 rapid acquisition gradient echo ( ...

AME PUBL CO2020

Default mode network and the timed up and go in MCI: A structural covariance analysis

Alessandra Griffa

Background: The timed up and go (TUG) is a test used to assess mobility in older adults and patients with neurological conditions. This study aims to compare brain gray matter (GM) correlates and structural covariance networks associated with the TUG time ...

PERGAMON-ELSEVIER SCIENCE LTD2020

An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease

Meritxell Bach Cuadra, Bénédicte Marie Maréchal, Delphine Ribes Lemay, Alessandro Daducci, Reto Meuli, Cristina Granziera, Gunnar Krüger, Daniel Andreas Schmitter, Alexis Roche, Ahmed Abdulkadir

Voxel-based morphometry from conventional T1-weighted images has proved effective to quantify Alzheimer’s disease (AD) related brain atrophy and to enable fairly accurate automated classification of AD patients, mild cognitive impaired patients (MCI) and e ...

Elsevier2015

A Multi-Contrast MRI Study of Microstructural Brain Damage in Patients with Mild Cognitive Impairment

Meritxell Bach Cuadra, Reto Meuli, Alessandro Daducci, Cristina Granziera, Daniel Andreas Schmitter, Alexis Roche, Guillaume Bonnier

Objectives: The aim of this study was to investigate pathological mechanisms underlying brain tissue alterations in mild cognitive impairment (MCI) using multi-contrast 3 T magnetic resonance imaging (MRI). Methods: Forty-two MCI patients and 77 healthy co ...

Elsevier2015

Global tractography with embedded anatomical priors and microstructure information for quantitative connectomics

Alia Lemkaddem

Over the last decades new technologies have shed the light on an improved understanding of brain structure and function. Recently, an imaging modality referred to as diffusion Magnetic Resonance Imaging (dMRI) has emerged. By exploiting the natural motion ...

EPFL2015

In Vivo Magnetic Resonance Spectroscopy (MRS) of the Activated Human Brain at 7T

Benoît Schaller

The principal aim of this thesis was to investigate human brain energy metabolism during physiological activation using proton (1H) magnetic resonance spectroscopy (MRS) at 7 Tesla (T). High magnetic fields (≥ 7 T) provide several advantages in human brain ...

EPFL2013

Brain decoding: Opportunities and challenges for pattern recognition

Dimitri Nestor Alice Van De Ville

The neuroimaging community heavily relies on statistical inference to explain measured brain activity given the experimental paradigm. Undeniably, this method has led to many results, but it is limited by the richness of the generative models that are depl ...

Elsevier2012

Biophysical Basis of the Diffusion-Weighted Magnetic Resonance Signal in the Rat Brain

Nicolas Kunz

Nuclear magnetic resonance (NMR) can be used in-vivo in a vast array of applications, such as anatomical imaging (magnetic resonance imaging, MRI), localized chemical composition characterization (magnetic resonance spectroscopy, MRS), cellular structure a ...

EPFL2010