Page personnelle

Thomas TOURDIAS




Teacher-Researcher

Phone :
Send an email



Cursus:
MD: Radiology, Bordeaux (2008)
PhD: Neurosciences, Bordeaux (2011)
Post doc: Stanford University, CA, USA (2013)
Professeur des Universit├ęs - Praticien Hospitalier; PU PH (2016)






70 publication(s) since Décembre 2006:


Sort by

* equal contribution
The indicated IF have been collected by the Web of Sciences in


25/06/2019 | Cell Rep   IF 7.8
Aquaporin-4 Surface Trafficking Regulates Astrocytic Process Motility and Synaptic Activity in Health and Autoimmune Disease.
Ciappelloni S, Bouchet D, Dubourdieu N, Boue-Grabot E, Kellermayer B, Manso C, Marignier R, Oliet SHR, Tourdias T, Groc L

Abstract:
Astrocytes constantly adapt their ramified morphology in order to support brain cell assemblies. Such plasticity is partly mediated by ion and water fluxes, which rely on the water channel aquaporin-4 (AQP4). The mechanism by which this channel locally contributes to process dynamics has remained elusive. Using a combination of single-molecule and calcium imaging approaches, we here investigated in hippocampal astrocytes the dynamic distribution of the AQP4 isoforms M1 and M23. Surface AQP4-M1 formed small aggregates that contrast with the large AQP4-M23 clusters that are enriched near glutamatergic synapses. Strikingly, stabilizing surface AQP4-M23 tuned the motility of astrocyte processes and favors glutamate synapse activity. Furthermore, human autoantibodies directed against AQP4 from neuromyelitis optica (NMO) patients impaired AQP4-M23 dynamic distribution and, consequently, astrocyte process and synaptic activity. Collectively, it emerges that the membrane dynamics of AQP4 isoform regulate brain cell assemblies in health and autoimmune brain disease targeting AQP4.




19/06/2019 | j Neuroradiol   IF 3.3
Mri Features Of Demyelinating Disease Associated With Anti-Mog Antibodies In Adults.
Deneve M, Biotti D, Patsoura S, Ferrier M, Meluchova Z, Mahieu L, Heran F, Vignal C, Deschamps R, Gout O, Menjot de Champfleur N, Ayrignac X, Dalliere CC, Labauge P, Dulau C, Tourdias T, Dumas H, Cognard C, Brassat D, Bonneville F

Abstract:
The spectrum of Myelin Oligodendrocytes Glycoprotein (MOG) antibody disease constitutes a recently described challenging entity, referring to a relatively new spectrum of autoimmune disorders with antibodies against MOG predominantly involving the optic nerve and spinal cord. The purpose of this article is to describe MRI features of MOG-AD involvement in the optic nerves, spinal cord and the brain of adults.




06/2019 | Stroke   IF 6
Chronic Cortical Cerebral Microinfarcts Slow Down Cognitive Recovery After Acute Ischemic Stroke.
Sagnier S, Okubo G, Catheline G, Munsch F, Bigourdan A, Debruxelles S, Poli M, Olindo S, Renou P, Rouanet F, Dousset V, Tourdias T, Sibon I

Abstract:
Background and Purpose- Cortical cerebral microinfarcts (CMIs) have been associated with vascular dementia and Alzheimer disease. The aim of the present study was to evaluate the role of cortical CMI detected on 3T magnetic resonance imaging, on the evolution of cognition during the year following an acute ischemic stroke. Methods- We conducted a prospective and monocentric study, including patients diagnosed for a supratentorial ischemic stroke with a National Institutes of Health Stroke Scale score >/=1, without prestroke dementia or neurological disability. Cortical CMIs were assessed on a brain 3T magnetic resonance imaging realized at baseline, as well as markers of small vessel disease, stroke characteristics, and hippocampal atrophy. Cognitive assessment was performed at 3 time points (baseline, 3 months, and 1 year) using the Montreal Cognitive Assessment, the Isaacs set test, and the Zazzo's cancellation task. Generalized linear mixed models were performed to evaluate the relationships between the number of cortical CMI and changes in cognitive scores over 1 year. Results- Among 199 patients (65+/-13 years old, 68% men), 88 (44%) had at least one cortical CMI. Hypertension was the main predictor of a higher cortical CMI load (B=0.58, P=0.005). The number of cortical CMI was associated with an increase time at the Zazzo's cancellation task over 1 year (B=3.84, P=0.01), regardless of the other magnetic resonance imaging markers, stroke severity, and demographic factors. Conclusions- Cortical CMIs are additional magnetic resonance imaging markers of poorer processing speed after ischemic stroke. These results indicate that a high load of cortical CMI in patients with stroke can be considered as a cerebral frailty condition which counteracts to the recovery process, suggesting a reduced brain plasticity among these patients.




05/2019 | Radiology   IF 7.6
Neurodegeneration of the Substantia Nigra after Ipsilateral Infarct: MRI R2* Mapping and Relationship to Clinical Outcome.
Linck PA, Kuchcinski G, Munsch F, Griffier R, Lopes R, Okubo G, Sagnier S, Renou P, Asselineau J, Perez P, Dousset V, Sibon I, Tourdias T

Abstract:
Background The substantia nigra (SN) is suspected to be affected after remote infarction, in view of its large array of connections with the supratentorial brain. Whether secondary involvement of SN worsens overall clinical outcome after a supratentorial stroke has not previously been studied. Purpose To assess longitudinal changes in SN R2* by using MRI in the setting of ipsilesional supratentorial infarct and the relationship of SN signal change to clinical outcome. Materials and Methods Participants prospectively included from 2012 to 2015 were evaluated at 24-72 hours (baseline visit) and at 1 year with MRI to quantify R2*. The SN was segmented bilaterally to calculate an R2* asymmetry index (SN-AI); greater SN-AI indicated greater relative R2* in the ipsilateral compared with contralateral SN. The 95th percentile of R2* (hereafter, SN-AI95) was compared according to infarct location with mixed linear regression models. We also conducted voxel-based comparisons of R2* and identified individual infarcted voxels associated with high SN-AI95 through voxel-based lesion-symptom mapping. Multivariable regression models tested the association between SN-AI95 and clinical scores. Results A total of 181 participants were evaluated (127 men, 54 women; mean age +/- standard deviation, 64.2 years +/- 13.1; 75 striatum infarcts, 106 other locations). Visual inspection, SN-AI95, and average maps consistently showed higher SN R2* at 1 year if ipsilateral striatum was infarcted than if it was not (SN-AI95, 4.25 vs -0.88; P < .001), but this was not observed at baseline. The striatal location of the infarct was associated with higher SN-AI95 at 1 year independently from infarct volume, SN-AI95 at baseline, microbleeds, age, and sex (beta = 4.99; P < .001). Voxel-based lesion-symptom mapping confirmed that striatum but also insula, internal capsule, and external capsule were associated with higher SN-AI95 at 1 year. SN-AI95 was an independent contributor of poor motor outcome (Box and Block Test, beta = -.62 points; P = .01). Conclusion In patients with stroke, greater substantia nigra R2*, likely reflective of greater iron content, can be observed at 1 year ipsilateral from remote infarcts of specific location, which is associated with worse motor function. (c) RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Vernooij in this issue.




05/2019 | j stroke cerebrovasc dis
The Influence of Stroke Location on Cognitive and Mood Impairment. A Voxel-Based Lesion-Symptom Mapping Study.
Sagnier S, Munsch F, Bigourdan A, Debruxelles S, Poli M, Renou P, Olindo S, Rouanet F, Dousset V, Tourdias T, Sibon I

Abstract:
BACKGROUND AND PURPOSE: The role of stroke location as a determinant of mood and cognitive symptoms is still a matter of debate. The aim of this study was to identify the predictive value of ischemic stroke location, on a voxel basis, for mood and cognitive outcome. MATERIALS AND METHODS: A prospective monocentric study including patients with a supratentorial ischemic stroke was conducted. A 3 Tesla brain MRI was performed at baseline. Mood and cognition were assessed using Hospital Anxiety and Depression scale (HAD), apathy inventory (AI), and Montreal Cognitive Assessment scale subscores, performed at 3 months poststroke. Statistical maps of ischemic stroke location associated with 3 months mood and cognitive scores were obtained using a voxel-based lesion-symptom mapping approach (Brunner and Munzel test). Significant voxels (false discovery rate [FDR] corrected-P < .01) were identified using the standard Montreal Neurological Institute-152 space template. RESULTS: Two hundred and sixty-five nonsevere stroke patients were included (64% men, mean age 66 +/- 14, median National Institute of Health Stroke Score 3, interquartile range 2-6). Ischemic stroke location was not associated with HAD or AI scores. Language, abstraction, and delayed recall performances were mainly associated with left-side hemispheric lesions. Lesions in both hemispheres were associated with lower performances in visuospatial and executive functions, naming, attention, and orientation. CONCLUSION: Ischemic stroke location does not predict mood outcome at 3 months but is a determinant of cognitive outcome in specific domains.




17/03/2019 | Neuroimage   IF 5.8
Thalamus Optimized Multi Atlas Segmentation (THOMAS): fast, fully automated segmentation of thalamic nuclei from structural MRI.
Su JH, Thomas FT, Kasoff WS, Tourdias T, Choi EY, Rutt BK, Saranathan M

Abstract:
The thalamus and its nuclei are largely indistinguishable on standard T1 or T2 weighted MRI. While diffusion tensor imaging based methods have been proposed to segment the thalamic nuclei based on the angular orientation of the principal diffusion tensor, these are based on echo planar imaging which is inherently limited in spatial resolution and suffers from distortion. We present a multi-atlas segmentation technique based on white-matter-nulled MP-RAGE imaging that segments the thalamus into 12 nuclei with computation times on the order of 10min on a desktop PC; we call this method THOMAS (THalamus Optimized Multi Atlas Segmentation). THOMAS was rigorously evaluated on 7T MRI data acquired from healthy volunteers and patients with multiple sclerosis by comparing against manual segmentations delineated by a neuroradiologist, guided by the Morel atlas. Segmentation accuracy was very high, with uniformly high Dice indices: at least 0.85 for large nuclei like the pulvinar and mediodorsal nuclei and at least 0.7 even for small structures such as the habenular, centromedian, and lateral and medial geniculate nuclei. Volume similarity indices ranged from 0.82 for the smaller nuclei to 0.97 for the larger nuclei. Volumetry revealed that the volumes of the right anteroventral, right ventral posterior lateral, and both right and left pulvinar nuclei were significantly lower in MS patients compared to controls, after adjusting for age, sex and intracranial volume. Lastly, we evaluated the potential of this method for targeting the Vim nucleus for deep brain surgery and focused ultrasound thalamotomy by overlaying the Vim nucleus segmented from pre-operative data on post-operative data. The locations of the ablated region and active DBS contact corresponded well with the segmented Vim nucleus. Our fast, direct structural MRI based segmentation method opens the door for MRI guided intra-operative procedures like thalamotomy and asleep DBS electrode placement as well as for accurate quantification of thalamic nuclear volumes to follow progression of neurological disorders.




12/03/2019 | Neurology   IF 8.7
Acute toxic limbic encephalopathy following glyphosate intoxication.
Planche V, Vergnet S, Auzou N, Bonnet M, Tourdias T, Tison F

Abstract:





07/02/2019 | Mult Scler   IF 5.6
White-matter-nulled MPRAGE at 7T reveals thalamic lesions and atrophy of specific thalamic nuclei in multiple sclerosis.
Planche V, Su JH, Mournet S, Saranathan M, Dousset V, Han M, Rutt BK, Tourdias T

Abstract:
BACKGROUND:: Investigating the degeneration of specific thalamic nuclei in multiple sclerosis (MS) remains challenging. METHODS:: White-matter-nulled (WMn) MPRAGE, MP-FLAIR, and standard T1-weighted magnetic resonance imaging (MRI) were performed on MS patients ( n = 15) and matched controls ( n = 12). Thalamic lesions were counted in individual sequences and lesion contrast-to-noise ratio (CNR) was measured. Volumes of 12 thalamic nuclei were measured using an automatic segmentation pipeline specifically developed for WMn-MPRAGE. RESULTS:: WMn-MPRAGE showed more thalamic MS lesions ( n = 35 in 9 out of 15 patients) than MP-FLAIR ( n = 25) and standard T1 ( n = 23), which was associated with significant improvement of CNR ( p < 0.0001). MS patients had whole thalamus atrophy ( p = 0.003) with lower volumes found for the anteroventral ( p < 0.001), the pulvinar ( p < 0.0001), and the habenular ( p = 0.004) nuclei. CONCLUSION:: WMn-MPRAGE and automatic thalamic segmentation can highlight thalamic MS lesions and measure patterns of focal thalamic atrophy.




27/11/2018 | Mult Scler   IF 5.6
Longitudinal study of functional brain network reorganization in clinically isolated syndrome.
Koubiyr I, Deloire M, Besson P, Coupe P, Dulau C, Pelletier J, Tourdias T, Audoin B, Brochet B, Ranjeva JP, Ruet A

Abstract:
BACKGROUND:: There is a lack of longitudinal studies exploring the topological organization of functional brain networks at the early stages of multiple sclerosis (MS). OBJECTIVE:: This study aims to assess potential brain functional reorganization at rest in patients with CIS (PwCIS) after 1 year of evolution and to characterize the dynamics of functional brain networks at the early stage of the disease. METHODS:: We prospectively included 41 PwCIS and 19 matched healthy controls (HCs). They were scanned at baseline and after 1 year. Using graph theory, topological metrics were calculated for each region. Hub disruption index was computed for each metric. RESULTS:: Hub disruption indexes of degree and betweenness centrality were negative at baseline in patients ( p < 0.05), suggesting brain reorganization. After 1 year, hub disruption indexes for degree and betweenness centrality were still negative ( p < 0.00001), but such reorganization appeared more pronounced than at baseline. Different brain regions were driving these alterations. No global efficiency differences were observed between PwCIS and HCs either at baseline or at 1 year. CONCLUSION:: Dynamic changes in functional brain networks appear at the early stages of MS and are associated with the maintenance of normal global efficiency in the brain, suggesting a compensatory effect.




12/09/2018 | Sci Rep   IF 4
Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure.
Commowick O, Istace A, Kain M, Laurent B, Leray F, Simon M, Pop SC, Girard P, Ameli R, Ferre JC, Kerbrat A, Tourdias T, Cervenansky F, Glatard T, Beaumont J, Doyle S, Forbes F, Knight J, Khademi A, Mahbod A, Wang C, McKinley R, Wagner F, Muschelli J, Sweeney E, Roura E, Llado X, Santos MM, Santos WP, Silva-Filho AG, Tomas-Fernandez X, Urien H, Bloch I, Valverde S, Cabezas M, Vera-Olmos FJ, Malpica N, Guttmann C, Vukusic S, Edan G, Dojat M, Styner M, Warfield SK, Cotton F, Barillot C

Abstract:
We present a study of multiple sclerosis segmentation algorithms conducted at the international MICCAI 2016 challenge. This challenge was operated using a new open-science computing infrastructure. This allowed for the automatic and independent evaluation of a large range of algorithms in a fair and completely automatic manner. This computing infrastructure was used to evaluate thirteen methods of MS lesions segmentation, exploring a broad range of state-of-theart algorithms, against a high-quality database of 53 MS cases coming from four centers following a common definition of the acquisition protocol. Each case was annotated manually by an unprecedented number of seven different experts. Results of the challenge highlighted that automatic algorithms, including the recent machine learning methods (random forests, deep learning, ...), are still trailing human expertise on both detection and delineation criteria. In addition, we demonstrate that computing a statistically robust consensus of the algorithms performs closer to human expertise on one score (segmentation) although still trailing on detection scores.