Cognitive dysfunction associates with white matter hyperintensities and subcortical atrophy on magnetic resonance imaging of the elderly diabetes mellitus Japanese elderly diabetes intervention trial (J‐EDIT)

Akisaki, Taichi; Sakurai, Takashi; Takata, Toshihiro; Umegaki, Hiroyuki; Araki, Atsushi; Mizuno, Sachiko; Tanaka, Shiro; Ohashi, Yasuo; Iguchi, Akihisa; Yokono, Koichi; Ito, Hideki

doi:10.1002/dmrr.632

Cited by 138 publications

(121 citation statements)

References 67 publications

(67 reference statements)

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“…20 However, the presence of hypertension and diabetes are also associated with cognitive decline. 21,22 The exact mechanism by which low vitamin D might be related to reduced cognition or the development of WMH is not known. It has been proposed that the cognitive dysfunction seen with low Vit D is more specifically caused by impaired mental shifting and information updating involving the dorsolateral circuit of the frontosubcortical neuronal circuit.…”

Section: Discussionmentioning

confidence: 99%

Association of White Matter Hyperintensities with Low Serum 25-Hydroxyvitamin D Levels

Prager

Thomas

Ankenbrandt

et al. 2014

American Journal of Neuroradiology

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Section: Discussionmentioning

confidence: 99%

Association of White Matter Hyperintensities with Low Serum 25-Hydroxyvitamin D Levels

Prager

Thomas

Ankenbrandt

et al. 2014

American Journal of Neuroradiology

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“…We are not aware of any study that has assessed both cognitive functioning and regional brain volumes in individuals with type 2 diabetes. To relate cognition with general brain MRI abnormalities, investigators recently assessed brain atrophy in type 2 diabetic individuals [4,43]. These studies found attention, executive functions, abstract reasoning and memory impairments to be associated with brain atrophy.…”

Section: Discussionmentioning

confidence: 99%

Hippocampal damage and memory impairments as possible early brain complications of type 2 diabetes

et al. 2007

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Aims/hypothesis There is evidence that type 2 diabetes mellitus is associated with cognitive impairment. Most studies investigating this association have evaluated elderly individuals, after many years of diabetes, who generally have poor glycaemic control and significant vascular disease. The aim of the current study was to investigate the early cognitive consequences and associated brain correlates of type 2 diabetes. Materials and methods With regard to cognition and brain measures, we compared 23 age-, sex-and educationmatched control subjects with 23 mostly middle-aged individuals with relatively well-controlled diabetes of less than 10 years from the time of diagnosis. Results We found deficits in hippocampal-based memory performance and preservation of other cognitive domains. Relative to control subjects, individuals with diabetes had reductions in brain volumes that were restricted to the hippocampus. There was an inverse relationship between glycaemic control and hippocampal volume; in multivariate regression analysis, HbA 1c was the only significant predictor of hippocampal volume, accounting for 33% of the observed variance. Other variables commonly associated with type 2 diabetes, such as elevated BMI, hypertension or dyslipidaemia, did not independently contribute to the variance in hippocampal volume. Conclusions/interpretation These results suggest that the medial temporal lobe may be the first brain site affected by type 2 diabetes and that individuals in poorer metabolic control may be affected to a greater extent.

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“…Although WMLs are frequently found in clinically healthy elderly people (6), WMLs were found to influence mental (7,8) and physical function (9,10). Furthermore, WMLs are related to various geriatric disorders: cerebrovascular diseases (11)(12)(13), cardiovascular diseases (1,9,14), dementia (15)(16)(17), psychiatric disorders such as major depressive disorder (18)(19)(20), bipolar disorder (21), and schizophrenia (22), neurologic disorders such as multiple sclerosis (23) and normal pressure hydrocephalus (24), and inflammatory diseases such as systemic lupus erythematosus (25).…”

Section: Introductionmentioning

confidence: 99%

Classification of White Matter Lesions on Magnetic Resonance Imaging in Elderly Persons

Kim

MacFall

Payne

2008

Biological Psychiatry

407

408

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White matter lesions, commonly seen on magnetic resonance images of elderly people, are related to various geriatric disorders including cerebrovascular diseases, cardiovascular diseases, dementia, and psychiatric disorders. Currently, white matter lesions are divided into periventricular white matter lesions and deep white matter lesions. Although the meaning of these terms vary by study and this dichotomization itself is still in debate, a possible dissimilarity in pathogenic mechanisms between periventricular white matter lesions and deep white matter lesions are providing some clues for understanding pathophysiology of many geriatric syndromes associated with white matter lesions.We have reviewed the distinctions between periventricular white matter lesions and deep white matter lesions in terms of etiology, histopathology, functional correlates, and imaging methodologies. We suggest a new sub-classification of white matter lesions which may have better etiological and functional relevance than the current simple dichotomization. The new categories are juxtaventricular, periventricular, deep white, and juxtacortical. This new classification scheme may contribute to reducing the heterogeneity of white matter lesion findings in future research.

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Cognitive dysfunction associates with white matter hyperintensities and subcortical atrophy on magnetic resonance imaging of the elderly diabetes mellitus Japanese elderly diabetes intervention trial (J‐EDIT)

Cited by 138 publications

References 67 publications

Association of White Matter Hyperintensities with Low Serum 25-Hydroxyvitamin D Levels

Association of White Matter Hyperintensities with Low Serum 25-Hydroxyvitamin D Levels

Hippocampal damage and memory impairments as possible early brain complications of type 2 diabetes

Classification of White Matter Lesions on Magnetic Resonance Imaging in Elderly Persons

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