Regional cortical thickness in relapsing remitting multiple sclerosis: A multi-center study

Narayana, Ponnada A.; Govindarajan, Koushik A.; Goel, Priya; Datta, Sushmita; Lincoln, John A.; Cofield, Stacy S.; Cutter, Gary; Lublin, Fred; Wolinsky, Jerry S.

doi:10.1016/j.nicl.2012.11.009

Cited by 78 publications

(78 citation statements)

References 46 publications

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“…The RRj group was found to have the greatest global and regional cortical thinning in areas of the temporal, parietal, and occipital lobe. The most marked thickness loss (RRj compared with CISn) was in the right entorhinal cortex (8%), in line with the findings of Narayana et al 26 Entorhinal thinning is considered a predictor of cognitive decline in Alzheimer disease. 27 Our study did not include a neuropsychological evaluation; therefore, we could not analyze the value of entorhinal atrophy for predicting cognitive decline in our patients with MS.…”

Section: Discussionsupporting

confidence: 87%

Juxtacortical Lesions and Cortical Thinning in Multiple Sclerosis

Pareto¹,

Sastre‐Garriga²,

Auger³

et al. 2015

AJNR Am J Neuroradiol

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Section: Discussionsupporting

confidence: 87%

Juxtacortical Lesions and Cortical Thinning in Multiple Sclerosis

Pareto¹,

Sastre‐Garriga²,

Auger³

et al. 2015

AJNR Am J Neuroradiol

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“…The systematic differences in offset between the human MRI datasets are probably attributable to different imaging protocols, scan resolution, processing pipelines, and field strength, which are known to produce systematically different measured values, most notably for the cortical thickness (20)(21)(22)(23)(24). Indeed, we show that cortical thickness differs systematically between the datasets (SI Appendix, Text S1).…”

Section: Resultsmentioning

confidence: 99%

Universality in human cortical folding in health and disease

Wang

Necus

Kaiser

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

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The folding of the cortex in mammalian brains across species has recently been shown to follow a universal scaling law that can be derived from a simple physics model. However, it was yet to be determined whether this law also applies to the morphological diversity of different individuals in a single species, in particular with respect to factors, such as age, sex, and disease. To this end, we derived and investigated the cortical morphology from magnetic resonance images (MRIs) of over 1,000 healthy human subjects from three independent public databases. Our results show that all three MRI datasets follow the scaling law obtained from the comparative neuroanatomical data, which strengthens the case for the existence of a common mechanism for cortical folding. Additionally, for comparable age groups, both male and female brains scale in exactly the same way, despite systematic differences in size and folding. Furthermore, age introduces a systematic shift in the offset of the scaling law. In the model, this shift can be interpreted as changes in the mechanical forces acting on the cortex. We also applied this analysis to a dataset derived from comparable cohorts of Alzheimer's disease patients and healthy subjects of similar age. We show a systematically lower offset and a possible change in the exponent for Alzheimer's disease subjects compared with the control cohort. Finally, we discuss implications of the changes in offset and exponent in the data and relate it to existing literature. We, thus, provide a possible mechanistic link between previously independent observations. brain morphogenesis | cortical gyrification | folding | aging | Alzheimer's disease T he expansion of the cerebral cortex is the most obvious feature of mammalian brain evolution and generally accompanied by increasing degrees of folding of the cortical surface. The mechanisms that drive gyrification have been a matter of intense research interest lately (1-4), with a number of proposals being put forward to explain it. Most such studies have focused on human cortices, using detailed MRI data to postulate folding as driven by the [possibly differential (5) or multilayered (6)] expansion of the cortical surface. In contrast, we have recently proposed a model (7), in which folding is a consequence of the dynamics of surface expansion and self-avoidance coupled with a negative tension term. This model was partly inspired by the axonal tension hypothesis by Van Essen (8) and the statistical physics of membranes (9). By assuming that healthy adult mammalian cortices have a shape that minimizes an effective free energy term that takes into account these effects, this model predicts a power law relation between cortical average thickness T, exposed area A e , and total area A t , namely[1]The only free parameter is k, or offset, a dimensionless coefficient that is presumed to be related to both the axonal tension and the pressure of cerebral spinal fluid (CSF) (supplemental text in ref. 7). In geometric terms, the variables T, A t , and A e ass...

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“…Lobar region-wise analysis: Regional cortical thickness was defined using the DesikanKilliany atlas into six lobar regions (cingulate, frontal, insula, occipital, parietal and temporal) and mean thickness in these regions were compared between subgroups. Given the correlation between age and cortical thickness (figure 3), as reported by others 35,37,38 , we reduced the cognitively preserved patient group to match the CI group for sub-analysis. These subgroups had no statistically significant different distribution of age, EDSS and disease duration.…”

Section: Resultsmentioning

confidence: 99%

Regional cortical thinning in multiple sclerosis and its relation with cognitive impairment: A multicenter study

et al. 2015

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Objectives: The objectives of this paper are to compare in a multicenter setting patterns of regional cortical thickness in patients with relapsing–remitting multiple sclerosis (RRMS) and cognitive impairment (CI) and those cognitively preserved (CP), and explore the relationship between cortical thinning and cognitive performance. Methods: T1-weighted isotropic brain scans were collected at 3T from seven European centers in 60 RRMS patients and 65 healthy controls (HCs). Patients underwent clinical and neuropsychological examinations. Cortical thickness (CTh) measures were calculated using FreeSurfer (failing in four) and both lobar and vertex-based general linear model (GLM) analyses were compared between study groups. Results: Twenty (36%) MS patients were classified as CI. Mean global CTh was smaller in RRMS patients compared to HCs (left 2.43 vs. 2.53 mm, right 2.44 vs. 2.54 mm, p < 0.001). Multivariate GLM regional analysis showed significantly more temporal thinning in CI compared to CP patients. Verbal memory scores correlated to regional cortical thinning in the insula whereas visual memory scores correlated to parietal thinning. Conclusions: This multicenter study showed mild global cortical thinning in RRMS. The extent of thinning is less pronounced than previously reported. Only subtle regional differences between CI and CP patients were observed, some of which related to specific cognitive domains.

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Regional cortical thickness in relapsing remitting multiple sclerosis: A multi-center study

Cited by 78 publications

References 46 publications

Juxtacortical Lesions and Cortical Thinning in Multiple Sclerosis

Juxtacortical Lesions and Cortical Thinning in Multiple Sclerosis

Universality in human cortical folding in health and disease

Regional cortical thinning in multiple sclerosis and its relation with cognitive impairment: A multicenter study

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