scholarly journals Disruption of the Cerebral White Matter Network Is Related to Slowing of Information Processing Speed in Patients With Type 2 Diabetes

Diabetes ◽  
2013 ◽  
Vol 62 (6) ◽  
pp. 2112-2115 ◽  
Author(s):  
Y. D. Reijmer ◽  
A. Leemans ◽  
M. Brundel ◽  
L. J. Kappelle ◽  
G. J. Biessels ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Information Processing ◽  
White Matter ◽  
Processing Speed ◽  
Cerebral White Matter ◽  
Information Processing Speed

scholarly journals The relation of depression with structural brain abnormalities and cognitive functioning: the Maastricht study

2021 ◽  
pp. 1-10
Author(s):  
Anouk F. J. Geraets ◽  
Miranda T. Schram ◽  
Jacobus F. A. Jansen ◽  
Annemarie Koster ◽  
Pieter C. Dagnelie ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cognitive Impairment ◽  
Information Processing ◽  
White Matter ◽  
Executive Functioning ◽  
Cognitive Functioning ◽  
Processing Speed ◽  
Brain Atrophy ◽  
Information Processing Speed

Abstract Background Individuals with depression often experience widespread and persistent cognitive deficits, which might be due to brain atrophy and cerebral small vessel disease (CSVD). We therefore studied the associations between depression, markers of brain atrophy and CSVD, and cognitive functioning. Methods We used cross-sectional data from the population-based Maastricht study (n = 4734; mean age 59.1 ± 8.6 years, 50.2% women), which focuses on type 2 diabetes. A current episode of major depressive disorder (MDD, n = 151) was assessed by the Mini-International Neuropsychiatric Interview. Volumes of cerebral spinal fluid, white matter, gray matter and white matter hyperintensities, presence of lacunar infarcts and cerebral microbleeds, and total CSVD burden were assessed by 3 T magnetic resonance imaging. Multiple linear and logistic regression analyses tested the associations between MDD, brain markers and cognitive functioning in memory, information processing speed, and executive functioning & attention, and presence of cognitive impairment. Structural equation modeling was used to test mediation. Results In fully adjusted models, MDD was associated with lower scores in information processing speed [mean difference = −0.18(−0.28;−0.08)], executive functioning & attention [mean difference = −0.13(−0.25;−0.02)], and with higher odds of cognitive impairment [odds ratio (OR) = 1.60(1.06;2.40)]. MDD was associated with CSVD in participants without type 2 diabetes [OR = 1.65(1.06;2.56)], but CSVD or other markers of brain atrophy or CSVD did not mediate the association with cognitive functioning. Conclusions MDD is associated with more impaired information processing speed and executive functioning & attention, and overall cognitive impairment. Furthermore, MDD was associated with CSVD in participants without type 2 diabetes, but this association did not explain an impaired cognitive profile.

scholarly journals Arterial stiffness and progression of cerebral white matter hyperintensities in patients with type 2 diabetes and matched controls: a 5-year cohort study

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Kristian L. Funck ◽  
Esben Laugesen ◽  
Pernille Høyem ◽  
Brian Stausbøl-Grøn ◽  
Won Y. Kim ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cohort Study ◽  
White Matter ◽  
Arterial Stiffness ◽  
White Matter Hyperintensities ◽  
Cerebrovascular Diseases ◽  
Study Data ◽  
Cerebral White Matter ◽  
Intracranial Volume

Abstract Background Stroke is a serious complication in patients with type 2 diabetes (T2DM). Arterial stiffness may improve stroke prediction. We investigated the association between carotid-femoral pulse wave velocity [PWV] and the progression of cerebral white matter hyperintensities (WMH), a marker of stroke risk, in patients with T2DM and controls. Methods In a 5-year cohort study, data from 45 patients and 59 non-diabetic controls were available for analysis. At baseline, participants had a mean (± SD) age of 59  ±  10 years and patients had a median (range) diabetes duration of 1.8 (0.8–3.2) years. PWV was obtained by tonometry and WMH volume by an automated segmentation algorithm based on cerebral T2-FLAIR and T1 MRI (corrected by intracranial volume, cWMH). High PWV was defined above 8.94 m/s (corresponding to the reference of high PWV above 10 m/s using the standardized path length method). Results Patients with T2DM had a higher PWV than controls (8.8  ±  2.2 vs. 7.9  ±  1.4 m/s, p  <  0.01). WMH progression were similar in the two groups (p  =  0.5). One m/s increase in baseline PWV was associated with a 16% [95% CI 1–32%], p  <  0.05) increase in cWMH volume at 5 years follow-up after adjustment for age, sex, diabetes, pulse pressure and smoking. High PWV was associated with cWMH progression in the combined cohort (p  <  0.05). We found no interaction between diabetes and PWV on cWMH progression. Conclusions PWV is associated with cWMH progression in patients with type 2 diabetes and non-diabetic controls. Our results indicate that arterial stiffness may be involved early in the pathophysiology leading to cerebrovascular diseases.

scholarly journals Brain white matter structure and information processing speed in healthy older age

2015 ◽  
Vol 221 (6) ◽  
pp. 3223-3235 ◽  
Author(s):  
Ksenia A. Kuznetsova ◽  
Susana Muñoz Maniega ◽  
Stuart J. Ritchie ◽  
Simon R. Cox ◽  
Amos J. Storkey ◽  
...  
Keyword(s):  
Information Processing ◽  
White Matter ◽  
Processing Speed ◽  
Older Age ◽  
Information Processing Speed ◽  
Brain White Matter

Relations between White Matter Maturation and Reaction Time in Childhood

2013 ◽  
Vol 20 (1) ◽  
pp. 99-112 ◽  
Author(s):  
Nadia Scantlebury ◽  
Todd Cunningham ◽  
Colleen Dockstader ◽  
Suzanne Laughlin ◽  
William Gaetz ◽  
...  
Keyword(s):  
Information Processing ◽  
Reaction Time ◽  
White Matter ◽  
Left Hemisphere ◽  
Processing Speed ◽  
Right Hemisphere ◽  
Optic Radiation ◽  
Information Processing Speed ◽  
White Matter Maturation ◽  
The Right

AbstractWhite matter matures with age and is important for the efficient transmission of neuronal signals. Consequently, white matter growth may underlie the development of cognitive processes important for learning, including the speed of information processing. To dissect the relationship between white matter structure and information processing speed, we administered a reaction time task (finger abduction in response to visual cue) to 27 typically developing, right-handed children aged 4 to 13. Magnetoencephalography and Diffusion Tensor Imaging were used to delineate white matter connections implicated in visual-motor information processing. Fractional anisotropy (FA) and radial diffusivity (RD) of the optic radiation in the left hemisphere, and FA and mean diffusivity (MD) of the optic radiation in the right hemisphere changed significantly with age. MD and RD decreased with age in the right inferior fronto-occipital fasciculus, and bilaterally in the cortico-spinal tracts. No age-related changes were evident in the inferior longitudinal fasciculus. FA of the cortico-spinal tract in the left hemisphere and MD of the inferior fronto-occipital fasciculus of the right hemisphere contributed uniquely beyond the effect of age in accounting for reaction time performance of the right hand. Our findings support the role of white matter maturation in the development of information processing speed. (JINS, 2013, 19, 1–14)

scholarly journals Associations of the Lifestyle for Brain Health Index With Structural Brain Changes and Cognition: Results From the Maastricht Study

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000012572
Author(s):  
Irene S Heger ◽  
Kay Deckers ◽  
Miranda T Schram ◽  
Coen DA Stehouwer ◽  
Pieter C Dagnelie ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Information Processing ◽  
Executive Function ◽  
White Matter ◽  
Processing Speed ◽  
Grey Matter ◽  
White Matter Hyperintensities ◽  
Information Processing Speed ◽  
Brain Health ◽  
Dementia Risk

Background and Objectives:Observational research has shown that a substantial proportion of all dementia cases worldwide is attributable to modifiable risk factors. Dementia risk scores might be useful to identify high-risk individuals and monitor treatment adherence. The objective of this study was to investigate whether a dementia risk score, the LIfestyle for BRAin health (LIBRA) index, is associated with MRI markers and cognitive functioning/impairment in the general population.Methods:Cross-sectional data was used from the observational population-based cohort of The Maastricht Study.. The weighted compound score of LIBRA (including twelve dementia risk and protective factors, e.g. hypertension, physical inactivity) was calculated, with higher scores indicating higher dementia risk. Standardized volumes of white matter, grey matter, CSF (as proxy for general brain atrophy), white matter hyperintensities, and presence of cerebral small vessel disease were derived from 3T MRI. Cognitive functioning was tested in three domains: memory, information processing speed, and executive function and attention. Values ≤1.5 SD below the average were defined as cognitive impairment. Multiple regression analyses and structural equation modelling were used, adjusted for age, sex, education, intracranial volume and type-2 diabetes.Results:Participants (n=4,164; mean age 59y; 49.7% men) with higher LIBRA scores (mean=1.19, range=-2.7 to +9.2), denoting higher dementia risk, had higher volumes of white matter hyperintensities (β=0.051, p=.002), and lower scores on information processing speed (β=-0.067, p=.001) and executive function and attention (β=-0.065, p=.004). Only in men, associations between LIBRA and volumes of grey matter (β=-0.093, p<.001), CSF (β=0.104, p<.001) and memory (β=-0.054, p=.026) were found. White matter hyperintensities and CSF volume partly mediated the association between LIBRA and cognition.Discussion:Higher health- and lifestyle-based dementia risk is associated with markers of general brain atrophy, cerebrovascular pathology and worse cognition, suggesting that LIBRA meaningfully summarizes individual lifestyle-related brain health. Improving LIBRA factors on an individual level might improve population brain health. Sex differences in lifestyle-related pathology and cognition need to be further explored.Classification of Evidence:This study provides Class II evidence that higher LIBRA scores are significantly associated with lower scores on some cognitive domains and a higher risk of cognitive impairment.

scholarly journals Type 2 Diabetes and Cognitive Functions in Middle Age: A Meta-Analysis

2018 ◽  
Vol 25 (2) ◽  
pp. 215-229 ◽  
Author(s):  
Elina Pelimanni ◽  
Mervi Jehkonen
Keyword(s):  
Type 2 Diabetes ◽  
Processing Speed ◽  
Visual Memory ◽  
Middle Age ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Healthy Controls ◽  
Information Processing Speed ◽  
Cognitive Domains

AbstractObjectives: Type 2 diabetes mellitus has been linked with cognitive decrement and an increased risk of dementia in older people. Less is known about whether diabetes affects cognition at younger ages. The objective of this meta-analysis was to examine possible differences (effect sizes) in cognitive performance between middle-aged type 2 diabetic patients and healthy controls. Secondary aim was to examine whether age is related to the magnitude of effect sizes. Methods: Electronic databases and lists of references of selected articles were used to search for studies examining type 2 diabetes and cognition in patients under age 65 compared to healthy controls. Twelve studies met the inclusion criteria. Standardized mean differences (Hedges’s g) were calculated for main cognitive domains and their subdomains. Association between age and effect sizes was evaluated with meta-regression analyses. Publication bias and methodological quality of the studies were assessed. Results: Patients performed worse than controls in several cognitive functions. The largest differences were found in information processing speed (g = −0.68), attention/concentration (g = −0.55), executive functions (g = −0.51), and working memory (g = −0.51). There was no significance difference in visual memory (g = −0.15). Age was significantly related to the effect size in information processing speed, language, verbal memory and visual memory. However, the direction of association varied across these cognitive domains. Conclusions: The results suggest that cognitive decrement in diabetes is not restricted to older people, but may begin to appear in middle age. More attention should be paid to early recognition and treatment of diabetes-related cognitive decrement in healthcare systems. (JINS, 2019, 25, 215–229)

scholarly journals Brain-wide white matter tract integrity is associated with information processing speed and general intelligence

2012 ◽  
Vol 17 (10) ◽  
pp. 955-955 ◽  
Author(s):  
L Penke ◽  
S M Maniega ◽  
M E Bastin ◽  
M C V Hernández ◽  
C Murray ◽  
...  
Keyword(s):  
Information Processing ◽  
White Matter ◽  
Processing Speed ◽  
General Intelligence ◽  
White Matter Tract ◽  
Information Processing Speed

scholarly journals Carotid-Femoral Pulse Wave Velocity Is Associated With Cerebral White Matter Lesions in Type 2 Diabetes

Diabetes Care ◽  
2012 ◽  
Vol 36 (3) ◽  
pp. 722-728 ◽  
Author(s):  
E. Laugesen ◽  
P. Hoyem ◽  
B. Stausbol-Gron ◽  
A. Mikkelsen ◽  
S. Thrysoe ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
White Matter ◽  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Pulse Wave ◽  
White Matter Lesions ◽  
Cerebral White Matter ◽  
Cerebral White Matter Lesions
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