Correlation between the corpus callosum index and brain atrophy, lesion load, and cognitive dysfunction in multiple sclerosis

Gonçalves, Lucas Immich; Passos, Giordani Rodrigues dos; Conzatti, Lucas Piccoli; Burger, Jorge Luiz Palmeiro; Tomasi, Gustavo Henrique; Zandoná, Manuella Édler; Azambuja, Luciana Schermann; Gomes, Irênio; Franco, Alexandre R.; Sato, Douglas Kazutoshi; Becker, Jéfferson

doi:10.1016/j.msard.2018.01.015

Cited by 22 publications

(13 citation statements)

References 10 publications

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“…The CCI strongly correlated with corpus callosum volume and other volumetric brain features, including white matter volume and lesion volume, and it was considered to be a valid surrogate marker of brain atrophy in MS. In RRMS patients, CCI was demonstrated to correlate with PASAT and MSFC scores [66], and SDMT and Verbal Fluency Test results, but not with tests of verbal memory [67]. Additionally, the hippocampus, a brain structure crucial for memory processes, was demonstrated to be affected in the early stages of MS. Microstructural damage measured by diffusion tensor imaging (DTI) was already observed in patients with CIS, and the MRI findings were strongly correlated with long-term recall [68].…”

Section: Brain Imaging Techniques Relevant To the Assessment Of Cognition In Msmentioning

confidence: 90%

Cognitive Dysfunction in the Early Stages of Multiple Sclerosis—How Much and How Important?

Oset

Stasiołek

Matysiak

2020

Curr Neurol Neurosci Rep

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Purpose of Review Multiple sclerosis (MS) is a demyelinating disease of the central nervous system that mainly affects young adults and that is one of the leading causes of disability in this age group, with cognitive impairment occurring early in the course of the disease. This article summarizes the current knowledge about cognitive dysfunction in the early phase of MS, including biomarkers, MRI correlates, and its value as a prognostic marker. Recent Findings New sets of neuropsychological tests have been established to screen for cognitive dysfunction more easily and accurately. Moreover, structural changes detected by brain MRI and several biomarkers found in cerebrospinal fluid and blood serum have been recently correlated with decreased cognitive performance. Additionally, factors influencing cognition in MS, such as disease-modifying therapy, mood disorders, and lifestyle, are better described. Summary Cognitive impairment early in the course of MS is suggested as a prognostic factor for disease progression. However, clear-cut definitions of the early stage of MS as well as unified criteria for the diagnosis of cognitive impairment are still lacking. New and more reliable tools for evaluating cognition in MS patients should be developed and introduced into everyday practice to facilitate the implementation of effective disease-modifying therapy, cognitive rehabilitation, and lifestyle management.

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Section: Brain Imaging Techniques Relevant To the Assessment Of Cognition In Msmentioning

confidence: 90%

Cognitive Dysfunction in the Early Stages of Multiple Sclerosis—How Much and How Important?

Oset

Stasiołek

Matysiak

2020

Curr Neurol Neurosci Rep

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“…The CCI was calculated according to the method proposed by Figueira et al 18 : on a mid-sagittal T1-weighted magnetic resonance image, a straight line was drawn across the greatest anteroposterior axis of the CC, and another straight line was drawn across its craniocaudal axis at its midpoint, leading to points a, a’, b, b’, and c, c’. The anterior, middle, and posterior segments of the CC were then measured and normalized to the greatest anteroposterior diameter of the CC based on the formula CCI = (aa’ + bb’ + cc’)/ab 19 , 20 ( Figure 1E ). Each 2D measure of brain volume was examined manually and calculated by experienced readers (SA and JF).…”

Section: Methodsmentioning

confidence: 99%

Usefulness of two-dimensional measurements for the evaluation of brain volume and disability in multiple sclerosis

Ajitomi

Fujimori

Nakashima

2022

Multiple Sclerosis Journal - Experimental, Translational and Cl

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Background Two-dimensional (2D) measures have been proposed as potential proxies for whole-brain volume in multiple sclerosis (MS). Objective To verify whether 2D measurements by routine MRI are useful in predicting brain volume or disability in MS. Methods In this cross-sectional analysis, eighty-five consecutive Japanese MS patients—relapsing-remitting MS (81%) and progressive MS (19%)—underwent 1.5 Tesla T1-weighted 3D MRI examinations to measure whole-brain and grey matter volume. 2D measurements, namely, third ventricle width, lateral ventricle width (LVW), brain width, bicaudate ratio, and corpus callosum index (CCI), were obtained from each scan. Correlations between 2D measurements and 3D measurements, the Expanded Disability Status Scale (EDSS), or processing speed were analysed. Results The third and lateral ventricle widths were well-correlated with the whole-brain volume ( p < 0.0001), grey matter volume ( p < 0.0001), and EDSS scores ( p = 0.0001, p = .0004, respectively).The least squares regression model revealed that 78% of the variation in whole-brain volume could be explained using five explanatory variables, namely, LVW, CCI, age, sex, and disease duration. By contrast, the partial correlation coefficient excluding the effect of age showed that the CCI was significantly correlated with the EDSS and processing speed ( p < 0.0001). Conclusion Ventricle width correlated well with brain volumes, while the CCI correlated well with age-independent (i.e. disease-induced) disability.

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“…Not all previous studies found similar result as ours. 23,26,33 The EDSS and disease duration was significantly inverse correlated with CC thickness, fractional anisotropy )FA( and mean diffusivity )MD( in RRMS patients. 34 Another study evaluated thickness and FA of midsagittal CC in hierarchical clustering algorithm found three subgroups severity of CC damage that corresponds with disease duration, clinical disability and cognitive impairment.…”

Section: Comparison Of CCV and Cci Between Rrms And Spms Subtypementioning

confidence: 95%

“…Similarly, Goncalves mentioned a significant correlation between the CCI with white matter and lesion volume. 26 A pathology study by Evangelou showed that lesion load in the white matter was significantly correlated with corpus callosum axonal density in the neuronal tract projection region. This finding indicated that Wallerian degeneration occurred after axonal transection in axons that passed through the inflamed area.…”

Section: Comparison Of CCV and Cci Between Rrms And Spms Subtypementioning

confidence: 99%

Corpus callosum index correlates with brain volumetry and disability in multiple sclerosis patients

Sugijono

Mulyadi

Firdausia

et al. 2020

NSJ

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Correlation between the corpus callosum index and brain atrophy, lesion load, and cognitive dysfunction in multiple sclerosis

Cited by 22 publications

References 10 publications

Cognitive Dysfunction in the Early Stages of Multiple Sclerosis—How Much and How Important?

Cognitive Dysfunction in the Early Stages of Multiple Sclerosis—How Much and How Important?

Usefulness of two-dimensional measurements for the evaluation of brain volume and disability in multiple sclerosis

Corpus callosum index correlates with brain volumetry and disability in multiple sclerosis patients

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