Paolo Preziosa1,2,3, Elisabetta Pagani1, Alessandro Meani1, Olga Marchesi1, Lorenzo Conti1, Andrea Falini4,3, Maria A Rocca1,2,3, Massimo Filippi5,6,7,8,9. 1. Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy. 2. Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. 3. Vita-Salute San Raffaele University, Milan, Italy. 4. Neuroradiology Unit and CERMAC, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy. 5. Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy. filippi.massimo@hsr.it. 6. Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. filippi.massimo@hsr.it. 7. Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. filippi.massimo@hsr.it. 8. Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy. filippi.massimo@hsr.it. 9. Vita-Salute San Raffaele University, Milan, Italy. filippi.massimo@hsr.it.
Abstract
BACKGROUND: Pathologically specific MRI measures may elucidate in-vivo the heterogeneous processes contributing to cognitive impairment in multiple sclerosis (MS). PURPOSE: Using diffusion tensor and neurite orientation dispersion and density imaging (NODDI), we explored the contribution of focal lesions and normal-appearing (NA) tissue microstructural abnormalities to cognitive impairment in MS. METHODS: One hundred and fifty-two MS patients underwent 3 T brain MRI and a neuropsychological evaluation. Forty-eight healthy controls (HC) were also scanned. Fractional anisotropy (FA), mean diffusivity (MD), intracellular volume fraction (ICV_f) and orientation dispersion index (ODI) were assessed in cortical and white matter (WM) lesions, thalamus, NA cortex and NAWM. Predictors of cognitive impairment were identified using random forest. RESULTS: Fifty-two MS patients were cognitively impaired. Compared to cognitively preserved, impaired MS patients had higher WM lesion volume (LV), lower normalized brain volume (NBV), cortical volume (NCV), thalamic volume (NTV), and WM volume (p ≤ 0.021). They also showed lower NAWM FA, higher NAWM, NA cortex and thalamic MD, lower NAWM ICV_f, lower WM lesion ODI, and higher NAWM ODI (false discovery rate-p ≤ 0.026). Cortical lesion number and microstructural abnormalities were not significantly different. The best MRI predictors of cognitive impairment (relative importance) (out-of-bag area under the curve = 0.727) were NAWM FA (100%), NTV (96.0%), NBV (84.7%), thalamic MD (43.4%), NCV (40.6%), NA cortex MD (26.0%), WM LV (23.2%) and WM lesion ODI (17.9%). CONCLUSIONS: Our multiparametric MRI study including NODDI measures suggested that neuro-axonal damage and loss of microarchitecture integrity in focal WM lesions, NAWM, and GM contribute to cognitive impairment in MS.
BACKGROUND: Pathologically specific MRI measures may elucidate in-vivo the heterogeneous processes contributing to cognitive impairment in multiple sclerosis (MS). PURPOSE: Using diffusion tensor and neurite orientation dispersion and density imaging (NODDI), we explored the contribution of focal lesions and normal-appearing (NA) tissue microstructural abnormalities to cognitive impairment in MS. METHODS: One hundred and fifty-two MS patients underwent 3 T brain MRI and a neuropsychological evaluation. Forty-eight healthy controls (HC) were also scanned. Fractional anisotropy (FA), mean diffusivity (MD), intracellular volume fraction (ICV_f) and orientation dispersion index (ODI) were assessed in cortical and white matter (WM) lesions, thalamus, NA cortex and NAWM. Predictors of cognitive impairment were identified using random forest. RESULTS: Fifty-two MS patients were cognitively impaired. Compared to cognitively preserved, impaired MS patients had higher WM lesion volume (LV), lower normalized brain volume (NBV), cortical volume (NCV), thalamic volume (NTV), and WM volume (p ≤ 0.021). They also showed lower NAWM FA, higher NAWM, NA cortex and thalamic MD, lower NAWM ICV_f, lower WM lesion ODI, and higher NAWM ODI (false discovery rate-p ≤ 0.026). Cortical lesion number and microstructural abnormalities were not significantly different. The best MRI predictors of cognitive impairment (relative importance) (out-of-bag area under the curve = 0.727) were NAWM FA (100%), NTV (96.0%), NBV (84.7%), thalamic MD (43.4%), NCV (40.6%), NA cortex MD (26.0%), WM LV (23.2%) and WM lesion ODI (17.9%). CONCLUSIONS: Our multiparametric MRI study including NODDI measures suggested that neuro-axonal damage and loss of microarchitecture integrity in focal WM lesions, NAWM, and GM contribute to cognitive impairment in MS.
Authors: Maria A Rocca; Maria P Amato; Nicola De Stefano; Christian Enzinger; Jeroen J Geurts; Iris-K Penner; Alex Rovira; James F Sumowski; Paola Valsasina; Massimo Filippi Journal: Lancet Neurol Date: 2015-02-04 Impact factor: 44.182
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Authors: Anand J C Eijlers; Kim A Meijer; Quinten van Geest; Jeroen J G Geurts; Menno M Schoonheim Journal: Radiology Date: 2018-05-22 Impact factor: 11.105
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Authors: Paolo Preziosa; Maria A Rocca; Elisabetta Pagani; Maria Laura Stromillo; Christian Enzinger; Antonio Gallo; Hanneke E Hulst; Matteo Atzori; Deborah Pareto; Gianna C Riccitelli; Massimiliano Copetti; Nicola De Stefano; Franz Fazekas; Alvino Bisecco; Frederik Barkhof; Tarek A Yousry; Maria J Arévalo; Massimo Filippi Journal: Hum Brain Mapp Date: 2016-02-02 Impact factor: 5.038
Authors: Francesco Grussu; Torben Schneider; Carmen Tur; Richard L Yates; Mohamed Tachrount; Andrada Ianuş; Marios C Yiannakas; Jia Newcombe; Hui Zhang; Daniel C Alexander; Gabriele C DeLuca; Claudia A M Gandini Wheeler-Kingshott Journal: Ann Clin Transl Neurol Date: 2017-08-15 Impact factor: 4.511