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Leila Faiza Ben Hamida Cammoun

Cette personne a quitté l’EPFL

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Publications associées (36)

Page 1 sur 2

Predicting Human Resting-State Functional Connectivity from structural Connectivity

Jean-Philippe Thiran, Patric Hagmann, Reto Meuli, Leila Cammoun, Xavier Gigandet, Leila Faiza Ben Hamida Cammoun

In the cerebral cortex, the activity levels of neuronal populations are continuously fluctuating. When neuronal activity, as measured using functional MRI (fMRI), is temporally coherent across 2 populations, those populations are said to be functionally co ...

2009

Graph theory reveals dysconnected hubs in 22q11DS and altered nodal efficiency in patients with hallucinations

Jean-Philippe Thiran, Leila Cammoun, Marie Schaer, Leila Faiza Ben Hamida Cammoun

Schizophrenia is postulated to be the prototypical dysconnection disorder, in which hallucinations are the core symptom. Due to high heterogeneity in methodology across studies and the clinical phenotype, it remains unclear whether the structural brain dys ...

Frontiers Research Foundation2013

High b-value diffusion-weighted imaging: a sensitive method to reveal white matter differences in schizophrenia

Jean-Philippe Thiran, Patric Hagmann, Reto Meuli, Leila Cammoun, Djalel Eddine Meskaldji, Pierre Marquet, Leila Faiza Ben Hamida Cammoun, Philipp Baumann

Over the last ten years, Diffusion-weighted Imaging (DWI) has become an important tool to investigate white matter (WM) anomalies in schizophrenia. Despite technological improvement and the exponential use of this technique, discrepancies remain and little ...

Elsevier2012

Reduced Fronto-Temporal and Limbic Connectivity in the 22q11.2 Deletion Syndrome: Vulnerability Markers for Developing Schizophrenia?

Jean-Philippe Thiran, Leila Cammoun, Leila Faiza Ben Hamida Cammoun, Marie Schaer

The 22q11.2 deletion syndrome (22q11DS) is a widely recognized genetic model allowing the study of neuroanatomicalvbiomarkers that underlie the risk for developing schizophrenia. Recent advances in magnetic resonance image analysesvenable the examination o ...

Public Library of Science2013

Adaptive Strategy for the Statistical Analysis of Connectomes

Jean-Philippe Thiran, Reto Meuli, Patric Hagmann, Stephan Morgenthaler, Leila Cammoun, Djalel Eddine Meskaldji, Leila Faiza Ben Hamida Cammoun

We study an adaptive statistical approach to analyze brain networks represented by brain connection matrices of interregional connectivity (connectomes). Our approach is at a middle level between a global analysis and single connections analysis by conside ...

Public Library of Science2011

Intrahemispheric cortico-cortical connections of the human auditory cortex

Jean-Philippe Thiran, Reto Meuli, Patric Hagmann, Alessandra Griffa, Leila Cammoun, Leila Faiza Ben Hamida Cammoun, Stephanie Clarke

The human auditory cortex comprises the supratemporal plane and large parts of the temporal and parietal convexities. We have investigated the relevant intrahemispheric cortico-cortical connections using in vivo DSI tractography combined with landmark-base ...

Springer Heidelberg2015

White matter maturation reshapes structural connectivity in the late developing human brain

Jean-Philippe Thiran, Patric Hagmann, Reto Meuli, Leila Cammoun, Leila Faiza Ben Hamida Cammoun

From toddler to late teenager, the macroscopic pattern of axonal projections in the human brain remains largely unchanged while undergoing dramatic functional modifications that lead to network refinement. These functional modifications are mediated by inc ...

National Academy of Sciences2010

Comparison and Validation of Tissue Modelization and Statistical Classification Methods in T1-weighted MR Brain Images

Jean-Philippe Thiran, Meritxell Bach Cuadra, Leila Cammoun, Leila Faiza Ben Hamida Cammoun, Olivier Cuisenaire, Torsten Butz

This paper presents a validation study on statistical non-supervised brain tissue classification techniques in MR images. Several image models assuming different hypotheses regarding the intensity distribution model, the spatial model and the number of cla ...

Institute of Electrical and Electronics Engineers2005

Thalamic nuclei clustering on High Angular Resolution Diffusion Images

Jean-Philippe Thiran, Reto Meuli, Patric Hagmann, Leila Cammoun, Leila Faiza Ben Hamida Cammoun, Pascal Hagmann

Thalamic nuclei can be distinguished by their characteristic fiber orientations, which influence the diffusion. Fiber orientations are relatively aligned within a nucleus due to the fact that the cerebrocortical striations within a nucleus all target the s ...

2008

Diffusion Spectrum Imaging after stroke shows structural changes in the contra-lateral motor network correlating with functional recovery

Jean-Philippe Thiran, Reto Meuli, Alessandro Daducci, Cristina Granziera, Gunnar Krüger, Leila Cammoun, Djalel Eddine Meskaldji, Xavier Gigandet, Leila Faiza Ben Hamida Cammoun

There is growing interest in understanding the role of the non-injured contra-lateral hemisphere in stroke recovery. In the experimental field, histological evidence has been reported that structural changes occur in the contra-lateral connectivity and cir ...

2011

Diffusion MR Image Segmentation: Towards Global Brain Connectivity Analysis

Jean-Philippe Thiran, Patric Hagmann, Reto Meuli, Leila Cammoun, Xavier Gigandet, Leila Faiza Ben Hamida Cammoun

The exploration of the human connectome, a term denoting the global structural connectivity of the brain, is accessible to MRI at millimeter and centimeter scales. In this paper, we propose a methodology to map the connectome by constructing normalized who ...

Societa Editrice Esculapio-Progetto Leonardo, Via Umberto Terracini 30, Bologna, 40131, Italy2009

A Self-Aware Epilepsy Monitoring System for Real-Time Epileptic Seizure Detection

David Atienza Alonso, Leila Cammoun, Leila Faiza Ben Hamida Cammoun, Amir Aminifar, Farnaz Forooghifar

Epilepsy is one of the most prevalent paroxystic neurological disorders that can dramatically degrade the quality of life and may even lead to death. Therefore, real-time epilepsy monitoring and seizure detection has become important over the past decades. ...

2022

The Connectome Mapper: an open-source processing pipeline to map connectomes with MRI

Jean-Philippe Thiran, Patric Hagmann, Alessandro Daducci, Alessandra Griffa, Reto Meuli, Leila Cammoun, Leila Faiza Ben Hamida Cammoun, Alia Lemkaddem, Xavier Gigandet

Researchers working in the field of global connectivity analysis using diffusion magnetic resonance imaging (MRI) can count on a wide selection of software packages for processing their data, with methods ranging from the reconstruction of the local intra- ...

Public Library of Science2012

Estimating the Confidence Level of White Matter Connections Obtained with MRI Tractography

Jean-Philippe Thiran, Patric Hagmann, Reto Meuli, Leila Cammoun, Xavier Gigandet, Leila Faiza Ben Hamida Cammoun, Maciej Kurant

Background Since the emergence of diffusion tensor imaging, a lot of work has been done to better understand the properties of diffusion MRI tractography. However, the validation of the reconstructed fiber connections remains problematic in many respects. ...

2008

Sequential Anisotropic Multichannel Wiener Filtering with Rician Bias Correction Applied to 3D Regularization of DWI Data

Jean-Philippe Thiran, Leila Cammoun, Leila Faiza Ben Hamida Cammoun

It has been shown that the tensor calculation is very sensitive to the presence of noise in the acquired images, yielding to very low-quality Diffusion Tensor Images (DTI) data. Recent investigations have shown that the noise present in the Diffusion Weigh ...

2009

Deriving scalar maps from Diffusion Spectrum MRI

Jean-Philippe Thiran, Reto Meuli, Patric Hagmann, Leila Cammoun, Xavier Gigandet, Leila Faiza Ben Hamida Cammoun

Whole brain DSI acquisitions are now clinically feasible. It is therefore necessary to have scalar maps available in order to easily visualize summary statistics of the full 3D diffusion pdf available in every voxel. We show how to derive from DSI not only ...

IEEE2007

The Structural Core of Human Cerebral Cortex and its relation to the brain s default network

Reto Meuli, Leila Cammoun, Xavier Gigandet, Leila Faiza Ben Hamida Cammoun

Human cerebral cortex contains an uncertain number of structurally segregated regions interconnected by a dense network of axonal pathways. Using DSI, we map these pathways in individual human subjects. An analysis of the resulting large-scale structural b ...

2008

Collaborative TeleNeurology for Remote Diagnosis

Jean-Philippe Thiran, Leila Cammoun, Leila Faiza Ben Hamida Cammoun

This paper presents the TENECI (Collaborative tele- neurology) project which allows practitioners to use telecommunication technologies to provide medical information and services for neurological diseases. Specificities of remote neurology are described a ...

2005

Mapping the Structural Core of Human Cerebral Cortex

Reto Meuli, Patric Hagmann, Leila Cammoun, Xavier Gigandet, Leila Faiza Ben Hamida Cammoun, Pascal Hagmann

Structurally segregated and functionally specialized regions of the human cerebral cortex are interconnected by a dense network of cortico-cortical axonal pathways. Using diffusion spectrum imaging we noninvasively map these pathways within and across cort ...

2008

Noninvasive detection of focal seizures in ambulatory patients

David Atienza Alonso, Leila Cammoun, Leila Faiza Ben Hamida Cammoun

Reliably detecting focal seizures without secondary generalization during daily life activities, chronically, using convenient portable or wearable devices, would offer patients with active epilepsy a number of potential benefits, such as providing more re ...

2020