Gray &amp; white matter tissue contrast differentiates Mild Cognitive Impairment converters from non-converters

Jefferson, Angela L.; Gifford, Katherine A.; Damon, Stephen; Chapman, George; Liu, Dandan; Sparling, Jamie L.; Dobromyslin, Vitaly I.; Salat, David H.

doi:10.1007/s11682-014-9291-2

Cited by 31 publications

(28 citation statements)

References 40 publications

(63 reference statements)

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“…Indeed, in neonates, intensity contrast is reversed: the cortico-cortical connections appear darker than the cortical graymatter, whereas in adults, as a result of myelination, these cortico-cortical connections appear white. Moreover, this intensity contrast has proven useful in characterizing typical patterns of brain development (Salat et al, 2009;Westlye et al, 2010), and identifying brain abnormalities in developmental disorders such as autism spectrum disorder (Andrews et al, 2017) as well as disorders primarily afflicting the elderly such as Alzheimer's disease (Salat et al, 2011;Jefferson et al, 2015). Thus, we tested the hypothesis that intensity contrast at the gray-white cortical boundary will allow for more accurate age predictions than cortical thickness, and perhaps better insight into the relation between brain maturation and cognitive development.…”

Section: Introductionmentioning

confidence: 99%

T1 white/gray contrast as a predictor of chronological age, and an index of cognitive performance

Lewis

Evans

Tohka

2017

Preprint

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The maturational schedule of human brain development appears to be narrowly confined. The chronological age of an individual can be predicted from brain images with considerable accuracy, and deviation from the typical pattern of brain maturation has been related to cognitive performance. Methods using multi-modal data, or complex measures derived from voxels throughout the brain have shown the greatest accuracy, but are difficult to interpret in terms of the biology. Measures based on the cortical surface(s) have yielded less accurate predictions, suggesting that perhaps developmental changes related to cortical gray matter are not strongly related to chronological age, and that perhaps development is more strongly related to changes in subcortical regions or in deep white matter. We show that a simple metric based on the white/gray contrast at the inner border of the cortical gray-matter is a comPreprint submitted to NeuroImage August 2, 2017 . CC-BY-NC-ND 4.0 International license peer-reviewed) is the author/funder. It is made available under aThe copyright holder for this preprint (which was not . http://dx.doi.org/10.1101/171892 doi: bioRxiv preprint first posted online parably good predictor of chronological age, and our usage of an elastic net penalized linear regression model reveals the brain regions which contribute most to age-prediction. We demonstrate this in two large datasets: the NIH Pediatric Data, with 832 scans of typically developing children, adolescents, and young adults; and the Pediatric Imaging, Neurocognition, and Genetics data, with 760 scans of individuals in a similar age-range. Moreover, we show that the residuals of age-prediction based on this white/gray contrast metric are more strongly related to IQ than are those from cortical thickness, suggesting that this metric is more sensitive to aspects of brain development that reflect cognitive performance.

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Section: Introductionmentioning

confidence: 99%

T1 white/gray contrast as a predictor of chronological age, and an index of cognitive performance

Lewis

Evans

Tohka

2017

Preprint

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“…Previous techniques likely had insufficient sensitivity to detect differences in ICM in more lightly myelinated cortical regions. 39 Our imaging methodology seems to endorse the increased sensitivity required for global analysis of ICM, considering the high variability in ICM content throughout the cortex.…”

Section: Discussionmentioning

confidence: 96%

Age-related deficits in intracortical myelination in young adults with bipolar disorder type I

Sehmbi

Rowley

Minuzzi

et al. 2019

jpn

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Background: Previous studies have implicated white-matter-related changes in the pathophysiology of bipolar disorder. However, most of what is known is derived from in vivo subcortical white-matter imaging or postmortem studies. In this study, we investigated wholebrain intracortical myelin (ICM) content in people with bipolar disorder type I and controls. Methods: Between Sept. 1, 2014, and Jan. 31, 2017, we used a 3 T General Electric scanner to collect T 1 -weighted images in 45 people with bipolar disorder type I and 60 controls aged 17 to 45 years using an optimized sequence that was sensitive to ICM content. We analyzed images using a surfacebased approach. We used general linear models with quadratic age terms to examine the signal trajectory of ICM across the age range. Results: In healthy controls, the T 1 -weighted signal followed an inverted-U trajectory over age; in people with bipolar disorder type I, the association between ICM and age followed a flat trajectory (p < 0.05, Bonferroni corrected). Exploratory analyses showed that ICM signal intensity was associated with duration of illness, age of onset, and anticonvulsant and antipsychotic use in people with bipolar disorder type I (p < 0.05, uncorrected). Limitations: Because of the cross-sectional nature of the study, we were unable to comment on whether the effects were due to dysmyelination or demyelination in bipolar disorder. Conclusion: This foundational study is, to our knowledge, the first to show global age-related deficits in ICM maturation throughout the cortex in bipolar disorder. Considering the impact of myelination on the maintenance of neural synchrony and the integrity of neural connections, this work may help us better understand the cognitive and behavioural deficits seen in bipolar disorder.

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“…For this study, the volumetric measures of interest were total cranial volume, cortical gray matter volume and thalamic volume, and the intensity measures of interest were the mean normalized intensity of the thalamus, cortical gray matter and cortical white matter (sampled normal at 2mm under the cortical surface). Several studies report gray matter intensities contrasted with white matter intensities [Jefferson et al, 2015;Kong et al, 2015;Salat et al, 2009], while preserving the TI, to account for white matter intensity, it was included as a separate variable in the correlation analysis with power.…”

Section: Morphometric Measuresmentioning

confidence: 99%

Atypical neuromagnetic resting activity associated with thalamic volume and cognitive outcome in very preterm children

Nunes

Kozhemiako

Hutcheon

et al. 2019

Preprint

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Children born very preterm, even in the absence of overt brain injury or major impairment, are at risk of cognitive difficulties. This risk is associated with disruption of ongoing critical periods involving development of the thalamocortical system while in the neonatal intensive care unit. The thalamus is an important structure that not only relays sensory information but acts as a hub integrating cortical activity, and through this integration, it regulates cortical power at different frequency bands. In this study, we investigate the association between atypical power at rest in children born very preterm at school age, neurocognitive function and structural alterations related to the thalamus. Our results indicate that children born extremely preterm have higher power at low frequencies and lower power at high frequencies, compared to controls born full-term. A similar pattern of spectral power was found to be associated with poorer neurocognitive outcomes. This pattern of spectral power was also associated with normalized T1 intensity and the volume of the thalamus. Overall, this study provides evidence of the relation between structural alterations related to very preterm birth, atypical oscillatory power at rest and neurocognitive difficulties at school-age children born very preterm.

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Gray & white matter tissue contrast differentiates Mild Cognitive Impairment converters from non-converters

Cited by 31 publications

References 40 publications

T1 white/gray contrast as a predictor of chronological age, and an index of cognitive performance

T1 white/gray contrast as a predictor of chronological age, and an index of cognitive performance

Age-related deficits in intracortical myelination in young adults with bipolar disorder type I

Atypical neuromagnetic resting activity associated with thalamic volume and cognitive outcome in very preterm children

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