Superficial white matter as a novel substrate of age-related cognitive decline

Nazeri, Arash; Chakravarty, M. Mallar; Rajji, Tarek K.; Felsky, Daniel; Rotenberg, David; Mason, Mikko; Xu, Li N.; Lobaugh, Nancy J.; Mulsant, Benoit H.; Voineskos, Aristotle N.

doi:10.1016/j.neurobiolaging.2015.02.022

Cited by 72 publications

(56 citation statements)

References 78 publications

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“…Yet, no association between the FA and Stroop interference was found in MDD patients using either DTI analysis methods. This is in contrast to a previous DTI study where poor Stroop task performance was associated with lower FA in widespread areas including ACC (Wolf et al, 2014), as well as with previous tractography studies on cognitive inhibition of healthy individuals (Jacobs et al, 2013; Nazeri et al, 2015; Reginold et al, 2015; Sasson, Doniger, Pasternak, Tarrasch, & Assaf, 2013; Sullivan, Adalsteinsson, & Pfefferbaum, 2006; Voineskos et al, 2012). However, these studies examined older age subjects with a mean age of 50 years or more, thus, may have included a wider range of FA values likely attributable to age-related cognitive impairment and widespread age-related brain white matter changes.…”

Section: Discussioncontrasting

confidence: 99%

White matter correlates of impaired attention control in major depressive disorder and healthy volunteers

Rizk

Rubin‐Falcone

Keilp

et al. 2017

Journal of Affective Disorders

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Background Major depressive disorder (MDD) is associated with impaired attention control and alterations in frontal-subcortical connectivity. We hypothesized that attention control as assessed by Stroop task interference depends on white matter integrity in fronto-cingulate regions and assessed this relationship using diffusion tensor imaging (DTI) in MDD and healthy volunteers (HV). Methods DTI images and Stroop task were acquired in 29 unmedicated MDD patients and 16 HVs, aged 18–65 years. The relationship between Stroop interference and fractional anisotropy (FA) was examined using region-of-interest (ROI) and tract-based spatial statistics (TBSS) analyses. Results ROI analysis revealed that Stroop interference correlated positively with FA in left caudal anterior cingulate cortex (cACC) in HVs (r= 0.62, p= 0.01), but not in MDD (r= −0.05, p= 0.79) even after controlling for depression severity. The left cACC was among 4 ROIs in fronto-cingulate network where FA was lower in MDD relative to HVs (F(1,41)= 8.87, p= 0.005). Additionally, TBSS showed the same group interaction of differences and correlations, although only at a statistical trend level. Limitations The modest sample size limits the generalizability of the findings. Conclusions Structural connectivity of white matter network of cACC correlated with magnitude of Stroop interference in HVs, but not MDD. The cACC-frontal network, sub-serving attention control, may be disrupted in MDD. Less cognitive control may include enhanced effects of salience in HVs, or less effective response inhibition in MDD. Further studies of salience and inhibition components of executive function may better elucidate the relationship between brain white matter changes and executive dysfunction in MDD.

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Section: Discussioncontrasting

confidence: 99%

White matter correlates of impaired attention control in major depressive disorder and healthy volunteers

Rizk

Rubin‐Falcone

Keilp

et al. 2017

Journal of Affective Disorders

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“…A cross‐sectional examination investigating white matter maturation with MRI‐based DTI showed that fractional anisotropy (FA) increases at least up until 30 years of age [Lebel et al, ], while an additional study uncovered data peaks around 30 years of age in white matter DTI measurements [Westlye et al, ]. More recently, Nazeri et al [] found a widespread age association with fractional anisotropy in SWM, but we believe our selected age range was too narrow to uncover this using our method. In humans, a histological investigation on the myelin in the stria of Gennari found a similar peak of myelin into the third decade of life [Lintl and Braak, ].…”

Section: Discussionmentioning

confidence: 90%

Age‐related mapping of intracortical myelin from late adolescence to middle adulthood using T₁‐weighted MRI

Rowley

Sehmbi

Bazin

et al. 2017

Human Brain Mapping

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Magnetic resonance imaging (MRI) studies in humans have reported that the T -weighted signal in the cerebral cortex follows an inverted "U" trajectory over the lifespan. Here, we investigated the T -weighted signal trajectory from late adolescence to middle adulthood in humans to characterize the age range when mental illnesses tend to present, and efficacy of treatments are evaluated. We compared linear to quadratic predictors of age on signal in 67 healthy individuals, 17-45 years old. We investigated ¼, ½, and ¾ depths in the cortex representing intracortical myelin (ICM), in the superficial white matter (SWM), and in a reference deep white matter tract. We found that the quadratic fit was superior in all regions of the cortex, while signal in the SWM and deep white matter showed no global dependence on age over this range. The signal trajectory in any region followed a similar shape regardless of cortical depth. The quadratic fit was analyzed in 70 cortical regions to obtain the age of maximum signal intensity. We found that visual, cingulate, and left ventromedial prefrontal cortices peak first around 34 years old, whereas motor and premotor areas peak latest at ∼38 years. Our analysis suggests that ICM trajectories over this range can be modeled well in small cohorts of subjects using quadratic functions, which are amenable to statistical analysis, thus suitable for investigating regional changes in ICM with disease. This study highlights a novel approach to map ICM trajectories using an age range that coincides with the onset of many mental illnesses. Hum Brain Mapp, 2017. © 2017 Wiley Periodicals, Inc.

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“…Studies of aging in cross‐sectional samples of adults have suggested that short range WM may have unique patterns of age‐related difference depending on location in the brain [Nazeri et al, ; Phillips et al, ]. Generally, lower FA and higher MD, RD, and AD is observed with increasing age across the entire brain, with differences most pronounced in anterior as opposed to posterior areas.…”

Section: Introductionmentioning

confidence: 99%

“…Generally, lower FA and higher MD, RD, and AD is observed with increasing age across the entire brain, with differences most pronounced in anterior as opposed to posterior areas. These findings suggest that short range connections in frontal areas may be more vulnerable to the aging process than those in other parts of the brain [Nazeri et al, ; Phillips et al, ]. Few studies have examined maturation of short range WM in children and adolescents.…”

Section: Introductionmentioning

confidence: 99%

Development of short‐range white matter in healthy children and adolescents

Oyefiade

Ameis

Lerch

et al. 2017

Human Brain Mapping

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Neural communication is facilitated by intricate networks of white matter (WM) comprised of both long and short range connections. The maturation of long range WM connections has been extensively characterized, with projection, commissural, and association tracts showing unique trajectories with age. There, however, remains a limited understanding of age-related changes occurring within short range WM connections, or U-fibers. These connections are important for local connectivity within lobes and facilitate regional cortical function and greater network economy. Recent studies have explored the maturation of U-fibers primarily using cross-sectional study designs. Here, we analyzed diffusion tensor imaging (DTI) data for healthy children and adolescents in both a cross-sectional (n 5 78; mean age 5 13.04 6 3.27 years) and a primarily longitudinal (n 5 26; mean age 5 10.78 6 2.69 years) cohort. We found significant age-related differences in fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD) across the frontal, parietal, and temporal lobes of participants within the cross-sectional cohort. By contrast, we report significant age-related differences in only FA for participants within the longitudinal cohort. Specifically, larger FA values were observed with age in frontal, parietal, and temporal lobes of the left hemisphere. Our results extend previous findings restricted to long range WM to demonstrate regional changes in the microstructure of short range WM during childhood and adolescence. These changes possibly reflect continued myelination and axonal organization of short range WM with increasing age in more anterior regions of the left hemisphere. Hum Brain Mapp 39:204-217, 2018. Key words: short-range WM; DTI; white matter maturation; linear mixed effects model r rAdditional Supporting Information may be found in the online version of this article.

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Superficial white matter as a novel substrate of age-related cognitive decline

Cited by 72 publications

References 78 publications

White matter correlates of impaired attention control in major depressive disorder and healthy volunteers

White matter correlates of impaired attention control in major depressive disorder and healthy volunteers

Age‐related mapping of intracortical myelin from late adolescence to middle adulthood using T₁‐weighted MRI

Development of short‐range white matter in healthy children and adolescents

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Superficial white matter as a novel substrate of age-related cognitive decline

Cited by 72 publications

References 78 publications

White matter correlates of impaired attention control in major depressive disorder and healthy volunteers

White matter correlates of impaired attention control in major depressive disorder and healthy volunteers

Age‐related mapping of intracortical myelin from late adolescence to middle adulthood using T1‐weighted MRI

Development of short‐range white matter in healthy children and adolescents

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Age‐related mapping of intracortical myelin from late adolescence to middle adulthood using T₁‐weighted MRI