Search results for: Benoit Caldairou

Items from 1 to 12 out of 12 results

article

Event‐based modeling in temporal lobe epilepsy demonstrates progressive atrophy from cross‐sectional data

Seymour M. Lopez, Leon M. Aksman, Neil P. Oxtoby, Sjoerd B. Vos, more

Epilepsia > 63 > 8 > 2081 - 2095

Objective Recent work has shown that people with common epilepsies have characteristic patterns of cortical thinning, and that these changes may be progressive over time. Leveraging a large multicenter cross‐sectional cohort, we investigated whether regional morphometric changes occur in a sequential manner, and whether these changes in people with mesial temporal lobe epilepsy and hippocampal sclerosis...

article

The ENIGMA‐Epilepsy working group: Mapping disease from large data sets

Sanjay M. Sisodiya, Christopher D. Whelan, Sean N. Hatton, Khoa Huynh, more

Human Brain Mapping > 43 > 1 > 113 - 128

Epilepsy is a common and serious neurological disorder, with many different constituent conditions characterized by their electro clinical, imaging, and genetic features. MRI has been fundamental in advancing our understanding of brain processes in the epilepsies. Smaller‐scale studies have identified many interesting imaging phenomena, with implications both for understanding pathophysiology and...

article

Atypical functional connectome hierarchy impacts cognition in temporal lobe epilepsy

Fatemeh Fadaie, Hyo M. Lee, Benoit Caldairou, Ravnoor S. Gill, more

Epilepsia > 62 > 11 > 2589 - 2603

Objective Drug‐resistant temporal lobe epilepsy (TLE) is typically associated with hippocampal pathology. However, widespread network alterations are increasingly recognized and suggested to perturb cognitive function in multiple domains. Here we tested (1) whether TLE shows atypical cortical hierarchical organization, differentiating sensory and higher order systems; and (2) whether atypical hierarchy...

article

Altered communication dynamics reflect cognitive deficits in temporal lobe epilepsy

Mauricio Girardi‐Schappo, Fatemeh Fadaie, Hyo Min Lee, Benoit Caldairou, more

Epilepsia > 62 > 4 > 1022 - 1033

Objective Although temporal lobe epilepsy (TLE) is recognized as a system‐level disorder, little work has investigated pathoconnectomics from a dynamic perspective. By leveraging computational simulations that quantify patterns of information flow across the connectome, we tested the hypothesis that network communication is abnormal in this condition, studied the interplay between hippocampal‐ and...

article

Targeting age‐related differences in brain and cognition with multimodal imaging and connectome topography profiling

Alexander J. Lowe, Casey Paquola, Reinder Vos de Wael, Manesh Girn, more

Human Brain Mapping > 40 > 18 > 5213 - 5230

Aging is characterized by accumulation of structural and metabolic changes in the brain. Recent studies suggest transmodal brain networks are especially sensitive to aging, which, we hypothesize, may be due to their apical position in the cortical hierarchy. Studying an open‐access healthy cohort (n = 102, age range = 30–89 years) with MRI and Aβ PET data, we estimated age‐related cortical thinning,...

article

The spectrum of structural and functional imaging abnormalities in temporal lobe epilepsy

Boris C. Bernhardt, Andrea Bernasconi, Min Liu, Seok‐Jun Hong, more

Annals of Neurology > 80 > 1 > 142 - 153

ObjectiveAlthough most temporal lobe epilepsy (TLE) patients show marked hippocampal sclerosis (HS) upon pathological examination, 40% present with no significant cell loss but gliotic changes only. To evaluate effects of hippocampal pathology on brain structure and functional networks, we aimed at dissociating multimodal magnetic resonance imaging (MRI) characteristics in patients with HS (TLE‐HS)...

chapter

A Non-Local Fuzzy Segmentation Method: Application to Brain MRI

Benoît Caldairou, François Rousseau, Nicolas Passat, Piotr Habas, more

Lecture Notes in Computer Science > Computer Analysis of Images and Patterns > Medical Imaging > 606-613

The Fuzzy C-Means algorithm is a widely used and flexible approach for brain tissue segmentation from 3D MRI. Despite its recent enrichment by addition of a spatial dependency to its formulation, it remains quite sensitive to noise. In order to improve its reliability in noisy contexts, we propose a way to select the most suitable example regions for regularisation. This approach inspired by the Non-Local...

chapter

Data-Driven Cortex Segmentation in Reconstructed Fetal MRI by Using Structural Constraints

Benoît Caldairou, Nicolas Passat, Piotr Habas, Colin Studholme, more

Lecture Notes in Computer Science > Computer Analysis of Images and Patterns > Medical Imaging > 503-511

In utero fetal MR images are essential for the diagnosis of abnormal brain development and understanding brain structures maturation. Because of particular properties of these images, such as important partial volume effect and tissue intensity overlaps, few automated segmentation methods have been developed so far compared to the numerous ones existing for the adult brain anatomy. In order...

chapter

Attribute-Filtering and Knowledge Extraction for Vessel Segmentation

Benoît Caldairou, Nicolas Passat, Benoît Naegel

Lecture Notes in Computer Science > Advances in Visual Computing > ST: Computational Bioimaging I > 13-22

Attribute-filtering, relying on the notion of component-tree, enables to process grey-level images by taking into account high-level a priori knowledge. Based on these notions, a method is proposed for automatic segmentation of vascular structures from phase-contrast magnetic resonance angiography. Experiments performed on 16 images and validations by comparison to results obtained by two human experts...

chapter

Segmentation of Complex Images Based on Component-Trees: Methodological Tools

Benoît Caldairou, Benoît Naegel, Nicolas Passat

Lecture Notes in Computer Science > Mathematical Morphology and Its Application to Signal and Image Processing > Segmentation > 171-180

Component-trees can be used for the design of image processing methods, and in particular segmentation ones. However, despite their ability to consider various kinds of knowledge and their tractable computation, methodological deadlocks often forbid to efficiently involve them in real applications. In this article, we explore new solutions to some of these deadlocks, and more especially those related...

article

Accurate cortical tissue classification on MRI by modeling cortical folding patterns

Hosung Kim, Benoit Caldairou, Ji‐Wook Hwang, Tommaso Mansi, more

Human Brain Mapping > 36 > 9 > 3563 - 3574

Accurate tissue classification is a crucial prerequisite to MRI morphometry. Automated methods based on intensity histograms constructed from the entire volume are challenged by regional intensity variations due to local radiofrequency artifacts as well as disparities in tissue composition, laminar architecture and folding patterns. Current work proposes a novel anatomy‐driven method in which parcels...

article

A non-local fuzzy segmentation method: Application to brain MRI

Benoît Caldairou, Nicolas Passat, Piotr A. Habas, Colin Studholme, more

Pattern Recognition > 2011 > 44 > 9 > 1916-1927

The Fuzzy C-Means (FCM) algorithm is a widely used and flexible approach to automated image segmentation, especially in the field of brain tissue segmentation from 3D MRI, where it addresses the problem of partial volume effects. In order to improve its robustness to classical image deterioration, namely noise and bias field artifacts, which arise in the MRI acquisition process, we propose to integrate...

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INFONA - science communication portal

Search results for: Benoit Caldairou

Event‐based modeling in temporal lobe epilepsy demonstrates progressive atrophy from cross‐sectional data

The ENIGMA‐Epilepsy working group: Mapping disease from large data sets

Atypical functional connectome hierarchy impacts cognition in temporal lobe epilepsy

Altered communication dynamics reflect cognitive deficits in temporal lobe epilepsy

Targeting age‐related differences in brain and cognition with multimodal imaging and connectome topography profiling

The spectrum of structural and functional imaging abnormalities in temporal lobe epilepsy

A Non-Local Fuzzy Segmentation Method: Application to Brain MRI

Data-Driven Cortex Segmentation in Reconstructed Fetal MRI by Using Structural Constraints

Attribute-Filtering and Knowledge Extraction for Vessel Segmentation

Segmentation of Complex Images Based on Component-Trees: Methodological Tools

Accurate cortical tissue classification on MRI by modeling cortical folding patterns

A non-local fuzzy segmentation method: Application to brain MRI

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