Publications by Djalel Eddine Meskaldji

Behavioral outcome of very preterm children at 5 years of age: Prognostic utility of brain tissue volumes at term-equivalent-age, perinatal, and environmental factors

Djalel Eddine Meskaldji, Laura Ioana Gui, Serafeim Loukas

ObjectivePrematurity is associated with a high risk of long-term behavioral problems. This study aimed to assess the prognostic utility of volumetric brain data at term-equivalent-age (TEA), clinical perinatal factors, and parental social economic risk in ...

WILEY2023

Musical memories in newborns: A resting-state functional connectivity study

Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville, Serafeim Loukas

Music is known to induce emotions and activate associated memories, including musical memories. In adults, it is well known that music activates both working memory and limbic networks. We have recently discovered that as early as during the newborn period ...

Wiley2022

Improving executive, behavioural and socio-emotional competences in very preterm young adolescents through a mindfulness-based intervention: Study protocol and feasibility

Djalel Eddine Meskaldji, Lorena Gonçalves de Alcântara e Freitas Krikler, Vanessa Siffredi

Background: Very preterm (VPT) children and adolescents show executive, behavioural and socio-emotional difficulties that persist into adulthood. Despite the promising role of mindfulness-based intervention (MBI) in improving theses competences in children ...

ELSEVIER IRELAND LTD2021

The effect of a mindfulness-based intervention on executive, behavioural and socio-emotional competencies in very preterm young adolescents

Djalel Eddine Meskaldji, Lorena Gonçalves de Alcântara e Freitas Krikler, Vanessa Siffredi

Very preterm (VPT) children and adolescents show executive, behavioural and socio-emotional difficulties that persists into adulthood. This study aims to assess the effectiveness of a mindfulness-based intervention (MBI) in improving these competencies in ...

Nature Research2021

A comprehensive error rate for multiple testing

Stephan Morgenthaler, Jean-Philippe Thiran, Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville

Over the last two decades, a large variety of type I error rates and control procedures have been proposed in the field of multiple hypotheses testing. This paper proposes a framework that includes many existing proposals by investigating procedures in whi ...

SPRINGER2020

Music in premature infants enhances high-level cognitive brain networks

Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville, François Lazeyras

Neonatal intensive care units are willing to apply environmental enrichment via music for preterm newborns. However, no evidence of an effect of music on preterm brain development has been reported to date. Using resting-state fMRI, we characterized a circ ...

National Academy of Sciences2019

Structural Correlates of Personality Dimensions in Healthy Aging and MCI

Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville

The revised NEO Personality Inventory (NEOPI-R), popularly known as the five-factor model, defines five personality factors: Neuroticism, Extraversion, Openness to Experience, Agreeableness, and Conscientiousness. The structural correlates of these persona ...

Frontiers Media2019

Longitudinal study of neonatal brain tissue volumes in preterm infants and their ability to predict neurodevelopmental outcome

Djalel Eddine Meskaldji, Laura Ioana Gui, Serafeim Loukas

Premature birth has been associated with poor neurodevelopmental outcomes. However, the relation between such outcomes and brain growth in the neonatal period has not yet been fully elucidated. This study investigates longitudinal brain development between ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2019

Diffusion-weighted imaging evidence of altered white matter development from late childhood to early adulthood in Autism Spectrum Disorder

Djalel Eddine Meskaldji, Fikret Isik Karahanoglu

Autism Spectrum Disorder (ASD) is thought to reflect disrupted development of brain connectivity characterized by white matter abnormalities and dyscoordination of activity across brain regions that give rise to core features. But there is little consensus ...

2018

Inter-hemispherical asymmetry in default-mode functional connectivity and BAIAP2 gene are associated with anger expression in ADHD adults

Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

Attention deficit hyperactivity disorder (ADHD) is accompanied by resting-state alterations, including abnormal activity, connectivity and asymmetry of the default-mode network (DMN). Concurrently, recent studies suggested a link between ADHD and the prese ...

Elsevier2017

Predicting Individual Scores From Resting State fMRI Using Partial Least Squares Regression

Stephan Morgenthaler, Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Maria Giulia Preti

An important question in neuroscience is to reveal the relationship between individual performance and brain activity. This could be achieved by applying model regression techniques, in which functional connectivity derived from resting-state functional ma ...

Ieee2016

Prediction of long-term memory scores in MCI based on resting-state fMRI

Stephan Morgenthaler, Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Maria Giulia Preti

Resting-state functional MRI (rs-fMRI) opens a window on large-scale organization of brain function. However, establishing relationships between resting-state brain activity and cognitive or clinical scores is still a difficult task, in particular in terms ...

Elsevier Sci Ltd2016

Traces Of Human Functional Activity: Moment-To-Moment Fluctuations In Fmri Data

Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville, Luca Dodero

Dynamic functional connectivity (dFC) measured by functional magnetic resonance imaging (fMRI) shows evidence of large-scale networks with highly dynamic (re) configurations. We propose a novel approach to extract traces of human brain function by the cons ...

IEEE2016

New Measures of Brain Functional Connectivity by Temporal Analysis of Extreme Events

Stephan Morgenthaler, Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville

2015

Multiple comparisons procedures for complex dependent data with application to study human brain complex network properties

Djalel Eddine Meskaldji

We consider the problem of testing positively dependent multiple hypotheses, assuming that prior information about the dependence structure is available. We propose two-step multiple comparisons procedures that exploit the prior information of the dependen ...

2015

Structural Brain Connectivity in School-Age Preterm Infants Provides Evidence for Impaired Networks Relevant for Higher Order Cognitive Skills and Social Cognition

Jean-Philippe Thiran, Djalel Eddine Meskaldji, Patric Hagmann, François Lazeyras, Elda Fischi Gomez

Extreme prematurity and pregnancy conditions leading to intrauterine growth restriction (IUGR) affect thousands of newborns every year and increase their risk for poor higher order cognitive and social skills at school age. However, little is known about t ...

Oxford University Press2015

Multicontrast connectometry: A new tool to assess cerebellum alterations in early relapsing‐remitting multiple sclerosis

Jonas Richiardi, Gloria Menegaz, Jean-Philippe Thiran, Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville, Guillaume Bonnier, David Paul Roger Romascano, Gunnar Krüger, Cristina Granziera, Alessandro Daducci, Alexis Roche, Ying-Chia Lin

Background: Cerebellar pathology occurs in late multiple sclerosis (MS) but little is known about cerebellar changes during early disease stages. In this study, we propose a new multicontrast “connectometry” approach to assess the structural and functional ...

Wiley-Blackwell2015

Quantitative Analysis of Myelin and Axonal Remodeling in the Uninjured Motor Network After Stroke

Gloria Menegaz, Jean-Philippe Thiran, Djalel Eddine Meskaldji, Reto Meuli, Gunnar Krüger, Cristina Granziera, Alessandro Daducci

Objectives: Contralesional brain connectivity plasticity was previously reported after stroke. This study aims at disentangling the biological mechanisms underlying connectivity plasticity in the uninjured motor network after an ischemic lesion. In particu ...

2015

Multicontrast MRI Quantification of Focal Inflammation and Degeneration in Multiple Sclerosis

Gloria Menegaz, Jean-Philippe Thiran, Djalel Eddine Meskaldji, Guillaume Bonnier, David Paul Roger Romascano, Gunnar Krüger, Cristina Granziera, Alexis Roche, Ying-Chia Lin

Introduction. Local microstructural pathology in multiple sclerosis patients might influence their clinical performance. This study applied multicontrast MRI to quantify inflammation and neurodegeneration in MS lesions. We explored the impact of MRI-based ...

Hindawi Publishing Corporation2015

New measure to capture dynamic features of brain functional connectivity

Stephan Morgenthaler, Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville

2015