AIMS/HYPOTHESIS: Cognitive performance in type 1 diabetes may be compromised as a result of chronic hyperglycaemia. The aim of this study was to investigate the cognitive functioning of patients with type 1 diabetes (including a subgroup with a microvascular complication) and nondiabetic controls, and to assess the relationship between cognition and cerebral grey and white matter volumes. MATERIALS AND METHODS: Twenty-five patients with type 1 diabetes (of whom ten had proliferative retinopathy) and nine nondiabetic controls (matched in terms of sex, age and education) underwent a neuropsychological examination and magnetic resonance imaging of the brain. Fractional brain tissue volumes (tissue volume relative to total intracranial volume) were obtained from each participant. RESULTS: Compared with nondiabetic controls, patients with diabetes performed worse on tests measuring speed of information processing and visuoconstruction; patients with microvascular disease performed worse on the former cognitive domain (p = 0.03), whereas patients without complications performed worse on the latter domain (p = 0.01). Patients with a microvascular complication had a significantly smaller white matter volume than nondiabetic controls (p = 0.04), and smaller white matter volume was associated with worse performance on the domains of speed of information processing and attention and executive function. CONCLUSIONS/ INTERPRETATION: Patients with diabetes demonstrated several subtle neuropsychological deficits, which were found to be related to white matter volume. Since patients with diabetic retinopathy had a smaller white matter volume, this suggests that cognitive decline is at least partly mediated by microvascular disease. This needs to be addressed in future studies.
AIMS/HYPOTHESIS: Cognitive performance in type 1 diabetes may be compromised as a result of chronic hyperglycaemia. The aim of this study was to investigate the cognitive functioning of patients with type 1 diabetes (including a subgroup with a microvascular complication) and nondiabetic controls, and to assess the relationship between cognition and cerebral grey and white matter volumes. MATERIALS AND METHODS: Twenty-five patients with type 1 diabetes (of whom ten had proliferative retinopathy) and nine nondiabetic controls (matched in terms of sex, age and education) underwent a neuropsychological examination and magnetic resonance imaging of the brain. Fractional brain tissue volumes (tissue volume relative to total intracranial volume) were obtained from each participant. RESULTS: Compared with nondiabetic controls, patients with diabetes performed worse on tests measuring speed of information processing and visuoconstruction; patients with microvascular disease performed worse on the former cognitive domain (p = 0.03), whereas patients without complications performed worse on the latter domain (p = 0.01). Patients with a microvascular complication had a significantly smaller white matter volume than nondiabetic controls (p = 0.04), and smaller white matter volume was associated with worse performance on the domains of speed of information processing and attention and executive function. CONCLUSIONS/ INTERPRETATION:Patients with diabetes demonstrated several subtle neuropsychological deficits, which were found to be related to white matter volume. Since patients with diabetic retinopathy had a smaller white matter volume, this suggests that cognitive decline is at least partly mediated by microvascular disease. This needs to be addressed in future studies.
Authors: Daniel J Cox; Boris P Kovatchev; Linda A Gonder-Frederick; Kent H Summers; Anthony McCall; Kevin J Grimm; William L Clarke Journal: Diabetes Care Date: 2005-01 Impact factor: 19.112
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Authors: Ralph H B Benedict; Bianca Weinstock-Guttman; Inna Fishman; Jitendra Sharma; Christopher W Tjoa; Rohit Bakshi Journal: Arch Neurol Date: 2004-02
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Authors: Christopher T Kodl; Daniel T Franc; Jyothi P Rao; Fiona S Anderson; William Thomas; Bryon A Mueller; Kelvin O Lim; Elizabeth R Seaquist Journal: Diabetes Date: 2008-08-11 Impact factor: 9.461
Authors: In Kyoon Lyoo; Sujung Yoon; Alan M Jacobson; Jaeuk Hwang; Gail Musen; Jieun E Kim; Donald C Simonson; Sujin Bae; Nicolas Bolo; Dajung J Kim; Katie Weinger; Junghyun H Lee; Christopher M Ryan; Perry F Renshaw Journal: Arch Gen Psychiatry Date: 2012-12
Authors: I Fromont; F Nicoli; R Valéro; O Felician; B Lebail; Y Lefur; J Mancini; V Paquis-Flucklinger; P J Cozzone; Bernard Vialettes Journal: J Neurol Date: 2009-06-18 Impact factor: 4.849
Authors: Eelco van Duinkerken; Martin Klein; Niki S M Schoonenboom; Roel P L M Hoogma; Annette C Moll; Frank J Snoek; Cornelis J Stam; Michaela Diamant Journal: Diabetes Date: 2009-07-07 Impact factor: 9.461