T<sub>1</sub> cortical hypointensities and their association with cognitive disability in multiple sclerosis

Bagnato, Francesca; Salman, Zeena; Kane, Robert L; Auh, Sungyoung; Cantor, Fredric K.; Ehrmantraut, Mary; Gallo, Antonio; Ikonomidou, Vasiliki N.; Ohayon, Joan; Pellicano, Clelia; Stern, Susan; McFarland, Henry F.

doi:10.1177/1352458510377223

Cited by 29 publications

(24 citation statements)

References 32 publications

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“…WMSA lesions themselves are pathologically heterogeneous, and it also may not be appropriate to lump them together in one single volume. However, use of T1 to estimate WMSA volume has been reported in other studies using similar methods to what is described here (Bagnato, et al 2010; Burns, et al 2005; Salat, et al 2008). High correlations between WMSAs measured using T1-weighted imaging and those measured using T2-weighted or FLAIR imaging have been established (Benedict, et al 2004; Rovaris, et al 1999; Simon, et al 2000), and it has been suggested that lesions assessed through T1-weighting may in fact show a closer association with clinical symptoms (Bagnato, et al 2010; Miller, et al 1998; Sailer, et al 2001).…”

Section: Discussionsupporting

confidence: 61%

Associations between T₁ white matter lesion volume and regional white matter microstructure in aging

Leritz

Shepel

Williams

et al. 2013

Human Brain Mapping

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White matter lesions, typically manifesting as regions of signal intensity abnormality (WMSA) on MRI, increase in frequency with age. However, the role of this damage in cognitive decline and disease is still not clear, as lesion volume has only loosely been associated with clinical status. Diffusion tensor imaging (DTI) has been used to examine the quantitative microstructural integrity of white matter, and has applications in the examination of subtle changes to tissue that appear visually normal on conventional imaging. The primary goal of this study was to determine whether major macrostructural white matter damage, (total WMSA volume), is associated with microstructural integrity of normal appearing white matter, and if these macrostructual changes fully account for microstructural changes. Imaging was performed in 126 non-demented individuals, ages 43-85, with no history of cerebrovascular disease. Controlling for age, greater WMSA volume was associated with decreased FA in widespread brain regions. Patterns were similar for FA and radial diffusivity but in contrast, WMSA was associated with axial diffusivity in fewer areas. Age was associated with FA in several regions, and many of these effects remained even when controlling for WMSA volume, suggesting the etiology of WMSAs does not fully account for all age-associated white matter deterioration. These results provide evidence that WMSA volume is associated with the integrity of normal-appearing white matter. In addition, our results suggest that overt lesions may not account for the association of increasing age with decreased white matter tissue integrity.

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Section: Discussionsupporting

confidence: 61%

Associations between T₁ white matter lesion volume and regional white matter microstructure in aging

Leritz

Shepel

Williams

et al. 2013

Human Brain Mapping

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“…This T1‐based WMSA volume estimate has been successfully used as a measure of WM lesion volume [Salat et al, 2012], and showed sensitivity in measuring WM lesions in Alzheimer's disease [Salat et al, 2012], as well as to correlate with estimates based on FLAIR acquisitions and to correlate better with clinical symptoms in MS [Bagnato et al, 2010]. …”

Section: Methodsmentioning

confidence: 99%

The functional connectome of cognitive reserve

Marques

Moreira

Magalhães

et al. 2016

Human Brain Mapping

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Cognitive Reserve (CR) designates the brain's capacity to actively cope with insults through a more efficient use of its resources/networks. It was proposed in order to explain the discrepancies between the observed cognitive ability and the expected capacity for an individual. Typical proxies of CR include education and Intelligence Quotient but none totally account for the variability of CR and no study has shown if the brain's greater efficiency associated with CR can be measured. We used a validated model to estimate CR from the residual variance in memory and general executive functioning, accounting for both brain anatomical (i.e., gray matter and white matter signal abnormalities volume) and demographic variables (i.e., years of formal education and sex). Functional connectivity (FC) networks and topological properties were explored for associations with CR. Demographic characteristics, mainly accounted by years of formal education, were associated with higher FC, clustering, local efficiency and strength in parietal and occipital regions and greater network transitivity. Higher CR was associated with a greater FC, local efficiency and clustering of occipital regions, strength and centrality of the inferior temporal gyrus and higher global efficiency. Altogether, these findings suggest that education may facilitate the brain's ability to form segregated functional groups, reinforcing the view that higher education level triggers more specialized use of neural processing. Additionally, this study demonstrated for the first time that CR is associated with more efficient processing of information in the human brain and reinforces the existence of a fine balance between segregation and integration. Hum Brain Mapp 37:3310–3322, 2016.. © 2016 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.

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“…Charil et al, observed a correlation between CI and lesions at the GM-WM junction of associative, limbic and prefrontal cortices [17]. A recent study found that the impact of neocortical lesions on CI is not independent from white matter disease [18]. Correlations have also been found between specific gray matter volumes in the cerebral cortex and cognitive test results.…”

Section: Introductionmentioning

confidence: 99%

Intracortical lesions by 3T magnetic resonance imaging and correlation with cognitive impairment in multiple sclerosis

et al. 2011

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Background Accurate classification of MS lesions in the brain cortex may be important in understanding their impact on cognitive impairment. Improved accuracy in identification/classification of cortical lesions was demonstrated in a study combining two MRI sequences: double inversion recovery (DIR) and T1-weighted phase-sensitive inversion recovery (PSIR). Objective To evaluate the role of intracortical lesions (IC) in MS related cognitive impairment (CI) and compare it to the role of mixed (MX), juxtacortical (JX), the sum of IC + MX and with total lesions as detected on DIR/PSIR images. Correlations between CI and brain atrophy, disease severity and disease duration were also sought. Methods 39 patients underwent extensive neuropsychological testing and were classified into: normal and impaired. Images were obtained on a 3T scanner and cortical lesions were assessed blind to the cognitive status of the subjects. Results 238 cortical lesions were identified (130 IC, 108 MX) in 82% of the patients, 39 JX lesions were also identified. Correlations between CI and MX lesions alone (p=0.010) and with the sum of IC + MX lesions (p=0.030) were found. A correlation between severity of CI and EDSS was also seen (p=0.009). Conclusion Cortical lesions play an important role in CI. However our results suggest that lesions that remain contained within the cortical ribbon do not play a more important role than ones extending into the adjacent white matter; furthermore the size of the cortical lesion, and not the tissue specific location, may better explain their correlation with CI.

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T₁ cortical hypointensities and their association with cognitive disability in multiple sclerosis

Abstract: Although T( 1) hypointense NLs may be present in a relatively high proportion of multiple sclerosis patients, the impact that they have in cognitive impairment is not independent from white matter disease.

Cited by 29 publications

References 32 publications

Associations between T₁ white matter lesion volume and regional white matter microstructure in aging

Associations between T₁ white matter lesion volume and regional white matter microstructure in aging

The functional connectome of cognitive reserve

Intracortical lesions by 3T magnetic resonance imaging and correlation with cognitive impairment in multiple sclerosis

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T1 cortical hypointensities and their association with cognitive disability in multiple sclerosis

Abstract: Although T( 1) hypointense NLs may be present in a relatively high proportion of multiple sclerosis patients, the impact that they have in cognitive impairment is not independent from white matter disease.

Cited by 29 publications

References 32 publications

Associations between T1 white matter lesion volume and regional white matter microstructure in aging

Associations between T1 white matter lesion volume and regional white matter microstructure in aging

The functional connectome of cognitive reserve

Intracortical lesions by 3T magnetic resonance imaging and correlation with cognitive impairment in multiple sclerosis

Contact Info

Product

Resources

About

T₁ cortical hypointensities and their association with cognitive disability in multiple sclerosis

Associations between T₁ white matter lesion volume and regional white matter microstructure in aging

Associations between T₁ white matter lesion volume and regional white matter microstructure in aging