A Gouveia1, S P Dias2, T Santos3, H Rocha4,5, C R Coelho6, L Ruano7,8, O Galego9, M C Diogo10, D Seixas11,12, M J Sá4,13, S Batista1,14. 1. Department of Neurology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal. 2. Department of Neurology, Centro Hospitalar de Lisboa Central, Lisboa, Portugal. 3. Department of Neurology, Centro Hospitalar Vila Nova de Gaia/Espinho, Vila Nova de Gaia, Portugal. 4. Department of Neurology, Centro Hospitalar de São João, Porto, Portugal. 5. Faculty of Medicine, Department of Clinical Neuroscience and Mental Health, University of Porto, Porto, Portugal. 6. Department of Neurology, Centro Hospitalar de Setúbal, Setúbal, Portugal. 7. Department of Neurology, Centro Hospitalar Entre Douro e Vouga, Santa Maria da Feira, Portugal. 8. EPIUnit - Epidemiology Research Unit, Institute of Public Health, University of Porto, Porto, Portugal. 9. Department of Neuroradiology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal. 10. Department of Neuroradiology, Centro Hospitalar de Lisboa Central, Lisboa, Portugal. 11. Department of Imaging Diagnosis, Centro Hospitalar de Vila Nova de Gaia/Espinho, Vila Nova de Gaia, Portugal. 12. Faculty of Medicine, Department of Experimental Biology, Porto University, Porto, Portugal. 13. Faculty of Health Sciences, University Fernando Pessoa, Porto, Portugal. 14. Faculty of Medicine, University of Coimbra, Coimbra, Portugal.
Abstract
OBJECTIVES: To characterize cognitive impairment in primary progressive multiple sclerosis (PPMS) and to correlate the pattern of cognitive deficits with brain magnetic resonance imaging (MRI) volumetric data. MATERIALS AND METHODS: In a multicenter cross-sectional study, we recruited consecutive patients with PPMS as well as age, sex, and education level-matched healthy controls (HC). All participants underwent neuropsychological (NP) assessment, and brain MRI was performed in patients with PPMS for analysis of lesion load, subcortical GM volumes, and regional cortical volumes. RESULTS: We recruited 55 patients with PPMS and 36 HC. Thirty-six patients were included in the MRI analysis. Patients with PPMS performed significantly worse than HC in all NP tests. Subcortical GM volume was significantly correlated with all NP tests, except for Stroop Test, with the largest effect for the thalamus (r=-.516 [BVMT-R DR, P=.016 FDR-corrected] to r=.664 [SDMT, P<.001 FDR-corrected]). In the stepwise linear regression model, thalamic volume was the only predictor of performance in all NP tests. CONCLUSION: Cognitive impairment is common in PPMS and affects all evaluated cognitive domains. Subcortical GM volume, particularly of the thalamus, is a strong predictor of cognitive performance, suggesting it has a central role in the pathophysiology of PPMS-related cognitive dysfunction.
OBJECTIVES: To characterize cognitive impairment in primary progressive multiple sclerosis (PPMS) and to correlate the pattern of cognitive deficits with brain magnetic resonance imaging (MRI) volumetric data. MATERIALS AND METHODS: In a multicenter cross-sectional study, we recruited consecutive patients with PPMS as well as age, sex, and education level-matched healthy controls (HC). All participants underwent neuropsychological (NP) assessment, and brain MRI was performed in patients with PPMS for analysis of lesion load, subcortical GM volumes, and regional cortical volumes. RESULTS: We recruited 55 patients with PPMS and 36 HC. Thirty-six patients were included in the MRI analysis. Patients with PPMS performed significantly worse than HC in all NP tests. Subcortical GM volume was significantly correlated with all NP tests, except for Stroop Test, with the largest effect for the thalamus (r=-.516 [BVMT-R DR, P=.016 FDR-corrected] to r=.664 [SDMT, P<.001 FDR-corrected]). In the stepwise linear regression model, thalamic volume was the only predictor of performance in all NP tests. CONCLUSION:Cognitive impairment is common in PPMS and affects all evaluated cognitive domains. Subcortical GM volume, particularly of the thalamus, is a strong predictor of cognitive performance, suggesting it has a central role in the pathophysiology of PPMS-related cognitive dysfunction.
Authors: F L Chiang; Q Wang; F F Yu; R S Romero; S Y Huang; P M Fox; B Tantiwongkosi; P T Fox Journal: Clin Radiol Date: 2019-08-14 Impact factor: 2.350
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Authors: Rosalind Kalb; Meghan Beier; Ralph Hb Benedict; Leigh Charvet; Kathleen Costello; Anthony Feinstein; Jeffrey Gingold; Yael Goverover; June Halper; Colleen Harris; Lori Kostich; Lauren Krupp; Ellen Lathi; Nicholas LaRocca; Ben Thrower; John DeLuca Journal: Mult Scler Date: 2018-10-10 Impact factor: 6.312