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

Fading of brain network fingerprint in Parkinson's disease predicts motor clinical impairment

The clinical connectome fingerprint (CCF) was recently introduced as a way to assess brain dynamics. It is an approach able to recognize individuals, based on the brain network. It showed its applicability providing network features used to predict the cog ...

Wiley2023

An integrative multi-omics approach reveals new central nervous system pathway alterations in Alzheimer's disease

Mojgan Masoodi, Christopher Clark

Background Multiple pathophysiological processes have been described in Alzheimer's disease (AD). Their inter-individual variations, complex interrelations, and relevance for clinical manifestation and disease progression remain poorly understood. We hypot ...

2021

Plasma neurofilament light and phosphorylated tau 181 as biomarkers of Alzheimer's disease pathology and clinical disease progression

Bénédicte Marie Maréchal, Jonas Richiardi, Christopher Clark

BackgroundTo assess the performance of plasma neurofilament light (NfL) and phosphorylated tau 181 (p-tau181) to inform about cerebral Alzheimer's disease (AD) pathology and predict clinical progression in a memory clinic setting.MethodsPlasma NfL and p-ta ...

2021

Hardware and Software Interfaces Design for Multi-Panel Electrochemical Sensors

Mandresy Ivan Ny Hanitra

The exponential growth of wearable healthcare devices market is fostered by the internetof- things (IoT) era. Connected smart biosensors enable a decentralized healthcare that does not constrain the user to be in a medical facility to get a real-time insig ...

EPFL2021

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

A nation-wide initiative for brain imaging and clinical phenotype data federation in Swiss university memory centres

Jean-Philippe Thiran, Bogdan Draganski

Purpose of review ...

LIPPINCOTT WILLIAMS & WILKINS2019

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

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

Meritxell Bach Cuadra, Bénédicte Marie Maréchal, Delphine Ribes Lemay, Reto Meuli, Alessandro Daducci, Cristina Granziera, Daniel Andreas Schmitter, Gunnar Krüger, 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 accurate automated classification of AD patients, mild cognitive impaired (MCI) patients and elderly ...

Proceedings of 23rd International Society for Magnetic Resonance in Medicine (ISMRM) Conference2014