ECTRIMS eLearning

Neuropsychological correlations differ according to the spatial distribution of corpus callosum atrophy in multiple sclerosis
ECTRIMS Learn. da Costa B. 10/25/17; 199564; EP1544
Bruna K. da Costa
Bruna K. da Costa
Contributions
Abstract

Abstract: EP1544

Type: ePoster

Abstract Category: Pathology and pathogenesis of MS - 21 Imaging

Introduction: Corpus callosum (CC) measurements have been shown to correlate with brain volumes and disease severity in multiple sclerosis (MS). While most CC measurements are performed taking that structure as a whole, it is worth noting that the origin of the fiber across the CC segments is heterogeneous. This study was done to assess whether different spatial distributions of atrophy across the CC could be associated with impairment in specific parameters of disability and cognitive dysfunction in MS.
Methods: Patients with relapsing-remitting MS underwent 3.0 T brain MRI. The FreeSurfer© software was used to estimate the CC volume, segmented by regions (anterior, mid-anterior, central, mid-posterior, and posterior). Clinical assessment included the Expanded Disability Status Scale (EDSS), the MS Functional Composite (MSFC), the Brief Repeatable Battery of Neuropsychological Tests, the Wechsler Memory Scale III (WMS), the Stroop test, and the Boston Naming Test (BNT).
Results: Twenty-one patients with relapsing-remitting MS were included. Moderate to strong correlations were seen between the PASAT (attention, working memory and information processing) and almost all of the CC segments (r=0.529 to 0.647, p< 0.01), except the anterior one, as well as between the BNT (semantic memory) and the central, mid-posterior, and posterior segments of the CC (r=0.479 to 0.550, p< 0.03). Only the mid-posterior CC correlated with tests of verbal memory, namely WNS - subtests Logical Memory I and II, and Free and Cued Selective Reminding Test - delayed recall (r=0.452 to 0.515, p< 0.04). The anterior CC did not correlate with any tests. None of the CC segments correlated with EDSS, other MSFC subtests, or other neuropsychological tests.
Conclusion: In line with pathological and advanced MRI studies, this study with conventional MRI supports different patterns of neuropsychological dysfunction according to the topographic distribution of atrophy across the CC in patients with MS.
Disclosure:
Dr. da Costa receives PhD scholarship from CNPq of Brazil.
Dr. Zandoná, Dr Azambuja, Mr Gonçalves, Dr Burger, Dr Franco and Dr Gomes has nothing to disclose.
Dr. Becker received speaking honoraria and research or travel grants and served as an expert for advisory boards for BayerHealth Care, Biogen, Merck Serono, Novartis, Roche, Sanofi Genzyme and Teva.
Dr. Sato received grant-in-aid for scientific research from the Japan Society for the Promotion of Science (KAKENHI 15K19472), research support from CAPES/Brasil (CSF-PAJT - 88887.091277/2014-00), advisory board honoraria from Shire and Merck, and speaker honoraria from Novartis, Genzyme, Merck, Biogen, and Teva.
This academic study is financially supported by Novartis. The authors do not receive any reimbursement or financial benefits and declare that they have no competing interests. Novartis played no role in the design, methods, data management or analysis or in the decision to publish.

Abstract: EP1544

Type: ePoster

Abstract Category: Pathology and pathogenesis of MS - 21 Imaging

Introduction: Corpus callosum (CC) measurements have been shown to correlate with brain volumes and disease severity in multiple sclerosis (MS). While most CC measurements are performed taking that structure as a whole, it is worth noting that the origin of the fiber across the CC segments is heterogeneous. This study was done to assess whether different spatial distributions of atrophy across the CC could be associated with impairment in specific parameters of disability and cognitive dysfunction in MS.
Methods: Patients with relapsing-remitting MS underwent 3.0 T brain MRI. The FreeSurfer© software was used to estimate the CC volume, segmented by regions (anterior, mid-anterior, central, mid-posterior, and posterior). Clinical assessment included the Expanded Disability Status Scale (EDSS), the MS Functional Composite (MSFC), the Brief Repeatable Battery of Neuropsychological Tests, the Wechsler Memory Scale III (WMS), the Stroop test, and the Boston Naming Test (BNT).
Results: Twenty-one patients with relapsing-remitting MS were included. Moderate to strong correlations were seen between the PASAT (attention, working memory and information processing) and almost all of the CC segments (r=0.529 to 0.647, p< 0.01), except the anterior one, as well as between the BNT (semantic memory) and the central, mid-posterior, and posterior segments of the CC (r=0.479 to 0.550, p< 0.03). Only the mid-posterior CC correlated with tests of verbal memory, namely WNS - subtests Logical Memory I and II, and Free and Cued Selective Reminding Test - delayed recall (r=0.452 to 0.515, p< 0.04). The anterior CC did not correlate with any tests. None of the CC segments correlated with EDSS, other MSFC subtests, or other neuropsychological tests.
Conclusion: In line with pathological and advanced MRI studies, this study with conventional MRI supports different patterns of neuropsychological dysfunction according to the topographic distribution of atrophy across the CC in patients with MS.
Disclosure:
Dr. da Costa receives PhD scholarship from CNPq of Brazil.
Dr. Zandoná, Dr Azambuja, Mr Gonçalves, Dr Burger, Dr Franco and Dr Gomes has nothing to disclose.
Dr. Becker received speaking honoraria and research or travel grants and served as an expert for advisory boards for BayerHealth Care, Biogen, Merck Serono, Novartis, Roche, Sanofi Genzyme and Teva.
Dr. Sato received grant-in-aid for scientific research from the Japan Society for the Promotion of Science (KAKENHI 15K19472), research support from CAPES/Brasil (CSF-PAJT - 88887.091277/2014-00), advisory board honoraria from Shire and Merck, and speaker honoraria from Novartis, Genzyme, Merck, Biogen, and Teva.
This academic study is financially supported by Novartis. The authors do not receive any reimbursement or financial benefits and declare that they have no competing interests. Novartis played no role in the design, methods, data management or analysis or in the decision to publish.

By clicking “Accept Terms & all Cookies” or by continuing to browse, you agree to the storing of third-party cookies on your device to enhance your user experience and agree to the user terms and conditions of this learning management system (LMS).

Cookie Settings
Accept Terms & all Cookies