Contributions
Abstract: P560
Type: Poster
Abstract Category: Pathology and pathogenesis of MS - 21 Imaging
Background: Identifying microstructural biomarker is relevant at early stages of multiple sclerosis (MS) before the apparition of irreversible grey matter (GM) damage that has been associated to cognitive impairment. Whether abnormalities at microstructural level could predict early GM volume loss has not been investigated longitudinally yet.
Objectives: To compare volumes and diffusion metrics in subcortical deep grey matter (SDGM) and cortical thickness (CTh) between patients with clinically isolated syndrome (PwCIS) and healthy controls (HC), and whether they can predict cognitive changes after 1 year of follow-up.
Methods: 56 patients recruited less than 6 months after a CIS and 37 matched HC underwent a 3T MRI scan including 3D T1 weighted images, fluid-attenuated inversion recovery and diffusion tensor imaging. After filling lesions, VolBrain was used to segment SDGM and FreeSurfer was used for CTh. Fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD) were calculated within each SDGM structure using FSL. 45 PwCIS and 20 HC were rescanned 1 year after the first assessment.
Attention, working memory (WMem), episodic memory (EMem), executive functions (EF) and information processing speed (IPS) were assessed by a neuropsychological battery. Linear regression models were used to assess cognitive changes by previously described baseline MRI parameters.
Results: At baseline: PwCIS had no SDGM atrophy. Right frontal lobe CTh was reduced in PwCIS
(p< 0.01). Amygdala FA was lower (p< 0.05), hippocampus MD and RD were higher in PwCIS compared to HC (p< 0.01). During 1 year of follow-up: lateral ventricles volume increased and caudate, putamen, globus pallidus, hippocampus and accumbens volumes decreased in patients (p< 0.05). CTh decreased in left temporal and insular lobes and also in right frontal and temporal lobes in PwCIS (p< 0.01). Longitudinal microstructural changes were detected in thalamus, globus pallidus and accumbens in PwCIS (p< 0.05). Hippocampus RD and globus pallidus MD predicted best, respectively, hippocampus and globus pallidus volume loss in PwCIS. CTh, SDGM volumes and diffusion parameters were also able to predict changes in WMem, EMem, EF, attention and IPS.
Conclusion: SDGM microstructural alterations precede atrophy in PwCIS. Hippocampus and Globus Pallidus volume loss can be predicted by their RD and MD at baseline. Grey matter alterations predict cognitive changes in PwCIS.
Disclosure: This study was supported by TEVA, Labex Translational Research And Advanced Imaging Laboratory (TRAIL) and ARSEP.
Koubiyr I : Personal grant from TRAIL.
Deloire M : Nothing to disclose.
Charre-Morin J : Nothing to disclose.
Saubusse A : Nothing to disclose.
Coupe P : Nothing to disclose.
Dulau C : received a speaker fee from BIOGEN.
Tourdias T : Nothing to disclose.
Besson P : Nothing to disclose.
Ranjeva JP : Nothing to disclose.
Pelletier J : Consulting fees and travels from Biogen, Sanofi-Genzyme, Novartis, Teva, Merck-Serono, Roche, Medday. Unconditional research grants from Biogen, Novartis, Roche and Merck-Serono.
Audoin B : Nothing to disclose.
Brochet B : Pr Brochet has received consultancy fees, speaker fees, research grants (non-personal), or honoraria from Novartis, Biogen-Idec, Merck, Bayer Schering, Roche, Medday, Bayer, Actelion, Teva and Genzyme Sanofi outside the submitted study.
Ruet A : has received consultancy fees, speaker fees, research grants (non-personal), or honoraria from Novartis, Biogen-Idec, Roche, Teva and Merck outside the submitted study.
Abstract: P560
Type: Poster
Abstract Category: Pathology and pathogenesis of MS - 21 Imaging
Background: Identifying microstructural biomarker is relevant at early stages of multiple sclerosis (MS) before the apparition of irreversible grey matter (GM) damage that has been associated to cognitive impairment. Whether abnormalities at microstructural level could predict early GM volume loss has not been investigated longitudinally yet.
Objectives: To compare volumes and diffusion metrics in subcortical deep grey matter (SDGM) and cortical thickness (CTh) between patients with clinically isolated syndrome (PwCIS) and healthy controls (HC), and whether they can predict cognitive changes after 1 year of follow-up.
Methods: 56 patients recruited less than 6 months after a CIS and 37 matched HC underwent a 3T MRI scan including 3D T1 weighted images, fluid-attenuated inversion recovery and diffusion tensor imaging. After filling lesions, VolBrain was used to segment SDGM and FreeSurfer was used for CTh. Fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD) were calculated within each SDGM structure using FSL. 45 PwCIS and 20 HC were rescanned 1 year after the first assessment.
Attention, working memory (WMem), episodic memory (EMem), executive functions (EF) and information processing speed (IPS) were assessed by a neuropsychological battery. Linear regression models were used to assess cognitive changes by previously described baseline MRI parameters.
Results: At baseline: PwCIS had no SDGM atrophy. Right frontal lobe CTh was reduced in PwCIS
(p< 0.01). Amygdala FA was lower (p< 0.05), hippocampus MD and RD were higher in PwCIS compared to HC (p< 0.01). During 1 year of follow-up: lateral ventricles volume increased and caudate, putamen, globus pallidus, hippocampus and accumbens volumes decreased in patients (p< 0.05). CTh decreased in left temporal and insular lobes and also in right frontal and temporal lobes in PwCIS (p< 0.01). Longitudinal microstructural changes were detected in thalamus, globus pallidus and accumbens in PwCIS (p< 0.05). Hippocampus RD and globus pallidus MD predicted best, respectively, hippocampus and globus pallidus volume loss in PwCIS. CTh, SDGM volumes and diffusion parameters were also able to predict changes in WMem, EMem, EF, attention and IPS.
Conclusion: SDGM microstructural alterations precede atrophy in PwCIS. Hippocampus and Globus Pallidus volume loss can be predicted by their RD and MD at baseline. Grey matter alterations predict cognitive changes in PwCIS.
Disclosure: This study was supported by TEVA, Labex Translational Research And Advanced Imaging Laboratory (TRAIL) and ARSEP.
Koubiyr I : Personal grant from TRAIL.
Deloire M : Nothing to disclose.
Charre-Morin J : Nothing to disclose.
Saubusse A : Nothing to disclose.
Coupe P : Nothing to disclose.
Dulau C : received a speaker fee from BIOGEN.
Tourdias T : Nothing to disclose.
Besson P : Nothing to disclose.
Ranjeva JP : Nothing to disclose.
Pelletier J : Consulting fees and travels from Biogen, Sanofi-Genzyme, Novartis, Teva, Merck-Serono, Roche, Medday. Unconditional research grants from Biogen, Novartis, Roche and Merck-Serono.
Audoin B : Nothing to disclose.
Brochet B : Pr Brochet has received consultancy fees, speaker fees, research grants (non-personal), or honoraria from Novartis, Biogen-Idec, Merck, Bayer Schering, Roche, Medday, Bayer, Actelion, Teva and Genzyme Sanofi outside the submitted study.
Ruet A : has received consultancy fees, speaker fees, research grants (non-personal), or honoraria from Novartis, Biogen-Idec, Roche, Teva and Merck outside the submitted study.