Elise Bannier - Academia.edu (original) (raw)

Papers by Elise Bannier

arXiv (Cornell University), Aug 8, 2021

In Multiple Sclerosis (MS), there is a large discrepancy between the clinical observations and ho... more In Multiple Sclerosis (MS), there is a large discrepancy between the clinical observations and how the pathology is exhibited on brain images, this is known as the clinical-radiological paradox (CRP). One of the hypotheses is that the clinical deficit may be more related to the spinal cord damage than the number or location of lesions in the brain. Therefore, investigating how the spinal cord is damaged becomes an acute challenge to better understand and overcome the CRP. Diffusion MRI is known to provide quantitative figures of neuronal degeneration and axonal loss, in the brain as well as in the spinal cord. In this paper, we propose to investigate how diffusion MRI metrics vary in the different cervical regions with the progression of the disease. We first study the reproducibility of diffusion MRI on healthy volunteers with a test-retest procedure using both standard diffusion tensor imaging (DTI) and multi-compartment Ball-and-Stick models. Then, based on the test re-test quantitative calibration, we provide quantitative figures of pathology evolution between M0 and M12 in the cervical spine on a set of 31 MS patients, exhibiting how the pathology damage spans in the cervical spinal cord.

Journal d'imagerie diagnostique et interventionnelle, May 1, 2021

NeuroImage: Clinical, 2022

Highlights • There are no quantitative markers of major depression that associates with brain.• S... more Highlights • There are no quantitative markers of major depression that associates with brain.• Switching strategy during verbal fluency can be calculated via machine learning.• Switching between semantic clusters is related to cognitive function in depression.• It is associated with cortical thickness in frontal, temporal and occipital regions.• It is associated with fractional anisotropy in right long antero-posterior tracts.

ABSTRACT PURPOSE To assess the feasibility, quality and diagnosis performance of a bSSFP NCE 4D M... more ABSTRACT PURPOSE To assess the feasibility, quality and diagnosis performance of a bSSFP NCE 4D MRA ECG-gated sequence with a high temporal resolution to analyse brain arteriovenous malformations (AVM). METHOD AND MATERIALS After approval from the Institutional Review Board, ten patients presenting AVM and referred for digital subtraction angiography (DSA) were included in the study. Patients underwent NCE 4D MRA on a 3T system (MAGNETOM Verio, Siemens Healthcare), using a 32-ch head array coil. The NCE 4D MRA technique combined arterial spin labeling with an ECG-triggered 3D cine segmented multiphase bSSFP readout. Two sequences were performed, with temporal acquisition window over 1 (1-RR) or 2 (2-RR) cardiac cycles and acquisition times of 5-6 or 10-12 min respectively. Imaging parameters for 2-RR NCE 4D MRA were: FOV=220x192mm2, 44 slices, 1.5x1.5x1.5mm3 voxel size, TR/TE=59.5ms/2.13ms, variable flip angle evolution, mSENSE 2. For 1-RR NCE 4D MRA, 64 slices achieved similar coverage with a 1x1x1mm3 voxel size. Other sequences performed were: TOF MRA (0.7x0.6x0.6mm3 voxel size) and 4D CE-MRA (0.9x0.8x1.5mm3 voxel size, 1.5s temporal resolution). All patients also underwent DSA with a filming rate of 3 images/s. Images were reviewed with respect to image quality and AVM diagnosis value. RESULTS Both NCE 4D MRA sequences were successfully performed in all patients achieving mean temporal resolution of 68,1 ms (±3,1; 20-32 phases) and 69,1ms (±5,6; 10-16 phases) and mean image quality score of 3,9/5 (±0,7) and 3,3/5 (±0,8), for 2-RR and 1-RR NCE 4D MRA respectively. All AVM were depicted with their main feeding arteries and global nidus size in agreement with DSA data (fig.1). Venous drainage type was always correctly classified on 2-RR NCE 4D MRA images, but misidentified in five cases on 1-RR NCE 4D MRA. The 2-RR NCE 4D MRA allowed a more accurate delineation of the nidus than combined TOF and CE 4D MRA data. CONCLUSION The bSSFP NCE 4D MRA sequence allows brain AVM analysis with a high temporal resolution, offering accurate nidus delineation, target of the treatment. A 2-RR sequence improves depiction of venous drainage, necessary to evaluate hemorrhagic risk. CLINICAL RELEVANCE/APPLICATION The bSSFP NCE 4D MRA sequence allows brain AVM analysis with a high temporal resolution, offering accurate nidus delineation, target of the treatment.

arXiv (Cornell University), Aug 9, 2021

Introduction: Multiple sclerosis is an inflammatory disorder of the central nervous system. While... more Introduction: Multiple sclerosis is an inflammatory disorder of the central nervous system. While conventional MRI is widely used for multiple sclerosis diagnosis and clinical follow-up, quantitative MRI has the potential to provide valuable intrinsic values of tissue properties that can enhance accuracy. In this study, we investigate the efficacy of diffusion MRI in distinguishing multiple sclerosis lesions within the cervical spinal cord, using a combination of metrics extracted from diffusion tensor imaging and Ball-and-Stick models. Methods: We analyzed spinal cord data acquired from multiple hospitals and extracted average diffusion MRI metrics per vertebral level using a collection of image processing methods and an atlas-based approach. We then performed a statistical analysis to evaluate the feasibility of these metrics for detecting lesions, exploring the usefulness of combining different metrics to improve accuracy. Results: Our study demonstrates the sensitivity of each metric to underlying microstructure changes in multiple sclerosis patients. We show that selecting a specific subset of metrics, which provide complementary information, significantly improves the prediction score of lesion presence in the cervical spinal cord. Furthermore, the Ball-and-Stick model has the potential to provide novel information about the microstructure of damaged tissue. Conclusion: Our results suggest that diffusion measures, particularly combined measures, are sensitive in discriminating abnormal from healthy cervical vertebral levels in patients. This information could aid in improving multiple sclerosis diagnosis and clinical follow-up. Our study highlights the potential of the Ball-and-Stick model in providing additional insights into the microstructure of the damaged tissue.

medRxiv (Cold Spring Harbor Laboratory), May 24, 2023

doi: medRxiv preprint NOTE: This preprint reports new research that has not been certified by pee... more doi: medRxiv preprint NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice.

HAL (Le Centre pour la Communication Scientifique Directe), Jun 30, 2022

HAL (Le Centre pour la Communication Scientifique Directe), Oct 9, 2022

HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific re... more HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Accurate localization of the thalamic subregions is of paramount importance for Deep Brain Stimul... more Accurate localization of the thalamic subregions is of paramount importance for Deep Brain Stimulation (DBS) planning. Current MRI protocols use T2 and Gadolinium-enhanced T1 images, to visualize both the basal ganglia and the vessels, in order to define the electrode trajectory and target. This study shows the usefulness of Fluid and White Matter Suppression, i.e. FLAWS imaging, in eleven drug-resistant epileptic patients for preoperative Deep Brain Stimulation planning and anterior thalamic nucleus targeting.

medRxiv (Cold Spring Harbor Laboratory), May 8, 2020

Stroke is a complex motor disease that not only affects perilesional areas but also global brain ... more Stroke is a complex motor disease that not only affects perilesional areas but also global brain networks in both hemispheres. Neurofeedback (NF) is a promising technique to enhance neural plasticity and support functional improvement after stroke by means of brain self-regulation. Most of the studies using NF or brain computer interfaces for stroke rehabilitation have assessed treatment effects focusing on motor outcomes and successful activation of targeted cortical regions. However, given the crucial role of large-scale networks reorganization for stroke recovery, it is now believed that assessment of brain connectivity is central to predict treatment response and to individualize rehabilitation therapies. In this study, we assessed the impact of EEG-fMRI NF training on connectivity strength and direction using a Dynamic Causal Modeling approach. We considered a motor network including both ipsilesional and contralesional premotor, supplementary and primary motor areas. Our results in nine chronic stroke patients indicate that NF upregulation of targeted areas (ipsilesional SMA and M1) not only modulated activation patterns, but also had a more widespread impact on fMRI bilateral motor networks. In particular, inter-hemispheric connectivity between premotor and primary motor regions decreased, and ipsilesional selfinhibitory connections were reduced in strength, indicating an increase in activation during the NF motor task. To the best of our knowledge, this is the first work that investigates fMRI connectivity changes elicited by training of localized motor targets in stroke. Our results open new perspectives in the understanding of large-scale effects of NF training and the design of more effective NF strategies, based on the pathophysiology underlying stroke-induced deficits.

Neurofeedback (NF) can be defined as the self-regulated change of a particular brain activity tha... more Neurofeedback (NF) can be defined as the self-regulated change of a particular brain activity that is reflected in the change of one or a combination of neural signals such as EEG or fMRI. There exist a variety of unimodal (i.e. EEG) NF researches [1, 2], but due to the technical difficulties [4-6] very few use multimodal brain signals [3]. In this abstract we describe a hybrid EEG-fMRI platform that we have developed for our NF experiments, including its hardware/software components and their roles.

Elise Bannier, Camille Maumet, Anca Pasnicu, Jean-Christophe Ferré, Eduardo Pasqualini, Arnaud Bi... more Elise Bannier, Camille Maumet, Anca Pasnicu, Jean-Christophe Ferré, Eduardo Pasqualini, Arnaud Biraben, Jean-Yves Gauvrit, and Christian Barillot Neurinfo MR imaging platform, University of Rennes, Rennes, France, INRIA, VisAGeS Project-Team, Rennes, France, CHU Rennes, Fuctionnal Explorations Department, Rennes, France, CHU Rennes, Neuroradiology Department, Rennes, France, CHU Rennes, Neurosurgery Department, Rennes, France, CHU Rennes, Neurology Department, Rennes, France, INSERM, U746, Rennes, France

arXiv (Cornell University), Aug 8, 2021

In Multiple Sclerosis (MS), there is a large discrepancy between the clinical observations and ho... more In Multiple Sclerosis (MS), there is a large discrepancy between the clinical observations and how the pathology is exhibited on brain images, this is known as the clinical-radiological paradox (CRP). One of the hypotheses is that the clinical deficit may be more related to the spinal cord damage than the number or location of lesions in the brain. Therefore, investigating how the spinal cord is damaged becomes an acute challenge to better understand and overcome the CRP. Diffusion MRI is known to provide quantitative figures of neuronal degeneration and axonal loss, in the brain as well as in the spinal cord. In this paper, we propose to investigate how diffusion MRI metrics vary in the different cervical regions with the progression of the disease. We first study the reproducibility of diffusion MRI on healthy volunteers with a test-retest procedure using both standard diffusion tensor imaging (DTI) and multi-compartment Ball-and-Stick models. Then, based on the test re-test quantitative calibration, we provide quantitative figures of pathology evolution between M0 and M12 in the cervical spine on a set of 31 MS patients, exhibiting how the pathology damage spans in the cervical spinal cord.

Journal d'imagerie diagnostique et interventionnelle, May 1, 2021

NeuroImage: Clinical, 2022

Highlights • There are no quantitative markers of major depression that associates with brain.• S... more Highlights • There are no quantitative markers of major depression that associates with brain.• Switching strategy during verbal fluency can be calculated via machine learning.• Switching between semantic clusters is related to cognitive function in depression.• It is associated with cortical thickness in frontal, temporal and occipital regions.• It is associated with fractional anisotropy in right long antero-posterior tracts.

ABSTRACT PURPOSE To assess the feasibility, quality and diagnosis performance of a bSSFP NCE 4D M... more ABSTRACT PURPOSE To assess the feasibility, quality and diagnosis performance of a bSSFP NCE 4D MRA ECG-gated sequence with a high temporal resolution to analyse brain arteriovenous malformations (AVM). METHOD AND MATERIALS After approval from the Institutional Review Board, ten patients presenting AVM and referred for digital subtraction angiography (DSA) were included in the study. Patients underwent NCE 4D MRA on a 3T system (MAGNETOM Verio, Siemens Healthcare), using a 32-ch head array coil. The NCE 4D MRA technique combined arterial spin labeling with an ECG-triggered 3D cine segmented multiphase bSSFP readout. Two sequences were performed, with temporal acquisition window over 1 (1-RR) or 2 (2-RR) cardiac cycles and acquisition times of 5-6 or 10-12 min respectively. Imaging parameters for 2-RR NCE 4D MRA were: FOV=220x192mm2, 44 slices, 1.5x1.5x1.5mm3 voxel size, TR/TE=59.5ms/2.13ms, variable flip angle evolution, mSENSE 2. For 1-RR NCE 4D MRA, 64 slices achieved similar coverage with a 1x1x1mm3 voxel size. Other sequences performed were: TOF MRA (0.7x0.6x0.6mm3 voxel size) and 4D CE-MRA (0.9x0.8x1.5mm3 voxel size, 1.5s temporal resolution). All patients also underwent DSA with a filming rate of 3 images/s. Images were reviewed with respect to image quality and AVM diagnosis value. RESULTS Both NCE 4D MRA sequences were successfully performed in all patients achieving mean temporal resolution of 68,1 ms (±3,1; 20-32 phases) and 69,1ms (±5,6; 10-16 phases) and mean image quality score of 3,9/5 (±0,7) and 3,3/5 (±0,8), for 2-RR and 1-RR NCE 4D MRA respectively. All AVM were depicted with their main feeding arteries and global nidus size in agreement with DSA data (fig.1). Venous drainage type was always correctly classified on 2-RR NCE 4D MRA images, but misidentified in five cases on 1-RR NCE 4D MRA. The 2-RR NCE 4D MRA allowed a more accurate delineation of the nidus than combined TOF and CE 4D MRA data. CONCLUSION The bSSFP NCE 4D MRA sequence allows brain AVM analysis with a high temporal resolution, offering accurate nidus delineation, target of the treatment. A 2-RR sequence improves depiction of venous drainage, necessary to evaluate hemorrhagic risk. CLINICAL RELEVANCE/APPLICATION The bSSFP NCE 4D MRA sequence allows brain AVM analysis with a high temporal resolution, offering accurate nidus delineation, target of the treatment.

arXiv (Cornell University), Aug 9, 2021

Introduction: Multiple sclerosis is an inflammatory disorder of the central nervous system. While... more Introduction: Multiple sclerosis is an inflammatory disorder of the central nervous system. While conventional MRI is widely used for multiple sclerosis diagnosis and clinical follow-up, quantitative MRI has the potential to provide valuable intrinsic values of tissue properties that can enhance accuracy. In this study, we investigate the efficacy of diffusion MRI in distinguishing multiple sclerosis lesions within the cervical spinal cord, using a combination of metrics extracted from diffusion tensor imaging and Ball-and-Stick models. Methods: We analyzed spinal cord data acquired from multiple hospitals and extracted average diffusion MRI metrics per vertebral level using a collection of image processing methods and an atlas-based approach. We then performed a statistical analysis to evaluate the feasibility of these metrics for detecting lesions, exploring the usefulness of combining different metrics to improve accuracy. Results: Our study demonstrates the sensitivity of each metric to underlying microstructure changes in multiple sclerosis patients. We show that selecting a specific subset of metrics, which provide complementary information, significantly improves the prediction score of lesion presence in the cervical spinal cord. Furthermore, the Ball-and-Stick model has the potential to provide novel information about the microstructure of damaged tissue. Conclusion: Our results suggest that diffusion measures, particularly combined measures, are sensitive in discriminating abnormal from healthy cervical vertebral levels in patients. This information could aid in improving multiple sclerosis diagnosis and clinical follow-up. Our study highlights the potential of the Ball-and-Stick model in providing additional insights into the microstructure of the damaged tissue.

medRxiv (Cold Spring Harbor Laboratory), May 24, 2023

doi: medRxiv preprint NOTE: This preprint reports new research that has not been certified by pee... more doi: medRxiv preprint NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice.

HAL (Le Centre pour la Communication Scientifique Directe), Jun 30, 2022

HAL (Le Centre pour la Communication Scientifique Directe), Oct 9, 2022

HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific re... more HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Accurate localization of the thalamic subregions is of paramount importance for Deep Brain Stimul... more Accurate localization of the thalamic subregions is of paramount importance for Deep Brain Stimulation (DBS) planning. Current MRI protocols use T2 and Gadolinium-enhanced T1 images, to visualize both the basal ganglia and the vessels, in order to define the electrode trajectory and target. This study shows the usefulness of Fluid and White Matter Suppression, i.e. FLAWS imaging, in eleven drug-resistant epileptic patients for preoperative Deep Brain Stimulation planning and anterior thalamic nucleus targeting.

medRxiv (Cold Spring Harbor Laboratory), May 8, 2020

Stroke is a complex motor disease that not only affects perilesional areas but also global brain ... more Stroke is a complex motor disease that not only affects perilesional areas but also global brain networks in both hemispheres. Neurofeedback (NF) is a promising technique to enhance neural plasticity and support functional improvement after stroke by means of brain self-regulation. Most of the studies using NF or brain computer interfaces for stroke rehabilitation have assessed treatment effects focusing on motor outcomes and successful activation of targeted cortical regions. However, given the crucial role of large-scale networks reorganization for stroke recovery, it is now believed that assessment of brain connectivity is central to predict treatment response and to individualize rehabilitation therapies. In this study, we assessed the impact of EEG-fMRI NF training on connectivity strength and direction using a Dynamic Causal Modeling approach. We considered a motor network including both ipsilesional and contralesional premotor, supplementary and primary motor areas. Our results in nine chronic stroke patients indicate that NF upregulation of targeted areas (ipsilesional SMA and M1) not only modulated activation patterns, but also had a more widespread impact on fMRI bilateral motor networks. In particular, inter-hemispheric connectivity between premotor and primary motor regions decreased, and ipsilesional selfinhibitory connections were reduced in strength, indicating an increase in activation during the NF motor task. To the best of our knowledge, this is the first work that investigates fMRI connectivity changes elicited by training of localized motor targets in stroke. Our results open new perspectives in the understanding of large-scale effects of NF training and the design of more effective NF strategies, based on the pathophysiology underlying stroke-induced deficits.

Neurofeedback (NF) can be defined as the self-regulated change of a particular brain activity tha... more Neurofeedback (NF) can be defined as the self-regulated change of a particular brain activity that is reflected in the change of one or a combination of neural signals such as EEG or fMRI. There exist a variety of unimodal (i.e. EEG) NF researches [1, 2], but due to the technical difficulties [4-6] very few use multimodal brain signals [3]. In this abstract we describe a hybrid EEG-fMRI platform that we have developed for our NF experiments, including its hardware/software components and their roles.

Elise Bannier, Camille Maumet, Anca Pasnicu, Jean-Christophe Ferré, Eduardo Pasqualini, Arnaud Bi... more Elise Bannier, Camille Maumet, Anca Pasnicu, Jean-Christophe Ferré, Eduardo Pasqualini, Arnaud Biraben, Jean-Yves Gauvrit, and Christian Barillot Neurinfo MR imaging platform, University of Rennes, Rennes, France, INRIA, VisAGeS Project-Team, Rennes, France, CHU Rennes, Fuctionnal Explorations Department, Rennes, France, CHU Rennes, Neuroradiology Department, Rennes, France, CHU Rennes, Neurosurgery Department, Rennes, France, CHU Rennes, Neurology Department, Rennes, France, INSERM, U746, Rennes, France