Literature DB >> 33499073

Investigating Brain Microstructural Alterations in Type 1 and Type 2 Diabetes Using Diffusion Tensor Imaging: A Systematic Review.

Abdulmajeed Alotaibi1,2, Christopher Tench1, Rebecca Stevenson1, Ghadah Felmban1,2, Amjad Altokhis1,3, Ali Aldhebaib2, Rob A Dineen1,4, Cris S Constantinescu1.   

Abstract

Type 1 and type 2 diabetes mellitus have an impact on the microstructural environment and cognitive functions of the brain due to its microvascular/macrovascular complications. Conventional Magnetic Resonance Imaging (MRI) techniques can allow detection of brain volume reduction in people with diabetes. However, conventional MRI is insufficiently sensitive to quantify microstructural changes. Diffusion Tensor Imaging (DTI) has been used as a sensitive MRI-based technique for quantifying and assessing brain microstructural abnormalities in patients with diabetes. This systematic review aims to summarise the original research literature using DTI to quantify microstructural alterations in diabetes and the relation of such changes to cognitive status and metabolic profile. A total of thirty-eight published studies that demonstrate the impact of diabetes mellitus on brain microstructure using DTI are included, and these demonstrate that both type 1 diabetes mellitus and type 2 diabetes mellitus may affect cognitive abilities due to the alterations in brain microstructures.

Entities:  

Keywords:  Diffusion Tensor Imaging (DTI); cognitive dysfunction; diabetes mellitus; diffusion imaging; microstructural abnormalities; type 1 diabetes; type 2 diabetes

Year:  2021        PMID: 33499073      PMCID: PMC7911883          DOI: 10.3390/brainsci11020140

Source DB:  PubMed          Journal:  Brain Sci        ISSN: 2076-3425


  60 in total

Review 1.  Diffusion-tensor MRI: theory, experimental design and data analysis - a technical review.

Authors:  Peter J Basser; Derek K Jones
Journal:  NMR Biomed       Date:  2002 Nov-Dec       Impact factor: 4.044

2.  Changes in the cerebellar and cerebro-cerebellar circuit in type 2 diabetes.

Authors:  Peng Fang; Jie An; Xin Tan; Ling-Li Zeng; Hui Shen; Shijun Qiu; Dewen Hu
Journal:  Brain Res Bull       Date:  2017-01-11       Impact factor: 4.077

3.  Diffusion tensor imaging identifies deficits in white matter microstructure in subjects with type 1 diabetes that correlate with reduced neurocognitive function.

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

4.  Disrupted White Matter Network and Cognitive Decline in Type 2 Diabetes Patients.

Authors:  Junying Zhang; Zhen Liu; Zixiao Li; Yunxia Wang; Yaojing Chen; Xin Li; Kewei Chen; Ni Shu; Zhanjun Zhang
Journal:  J Alzheimers Dis       Date:  2016-05-06       Impact factor: 4.472

5.  Brain changes in overweight/obese and normal-weight adults with type 2 diabetes mellitus.

Authors:  Sujung Yoon; Hanbyul Cho; Jungyoon Kim; Do-Wan Lee; Geon Ha Kim; Young Sun Hong; Sohyeon Moon; Shinwon Park; Sunho Lee; Suji Lee; Sujin Bae; Donald C Simonson; In Kyoon Lyoo
Journal:  Diabetologia       Date:  2017-04-27       Impact factor: 10.122

6.  White Matter Microstructural Abnormalities in Type 2 Diabetes Mellitus: A Diffusional Kurtosis Imaging Analysis.

Authors:  Y Xie; Y Zhang; W Qin; S Lu; C Ni; Q Zhang
Journal:  AJNR Am J Neuroradiol       Date:  2016-12-15       Impact factor: 3.825

Review 7.  Cognition and diabetes: a lifespan perspective.

Authors:  Geert Jan Biessels; Ian J Deary; Christopher M Ryan
Journal:  Lancet Neurol       Date:  2008-02       Impact factor: 44.182

8.  Brain volume and white matter in youth with type 2 diabetes compared to obese and normal weight, non-diabetic peers: A pilot study.

Authors:  Dana L Rofey; Silva A Arslanian; Nermeen E El Nokali; Timothy Verstynen; Jennifer C Watt; Jessica J Black; Rebecca Sax; Jodi S Krall; Chelsea Proulx; Meredith Dillon; Kirk I Erickson
Journal:  Int J Dev Neurosci       Date:  2015-07-31       Impact factor: 2.457

9.  Macro- and microstructural magnetic resonance imaging indices associated with diabetes among community-dwelling older adults.

Authors:  Cherie M Falvey; Caterina Rosano; Eleanor M Simonsick; Tamara Harris; Elsa S Strotmeyer; Suzanne Satterfield; Kristine Yaffe
Journal:  Diabetes Care       Date:  2012-11-16       Impact factor: 19.112

10.  Disruption of the cerebral white matter network is related to slowing of information processing speed in patients with type 2 diabetes.

Authors:  Yael D Reijmer; Alexander Leemans; Manon Brundel; L Jaap Kappelle; Geert Jan Biessels
Journal:  Diabetes       Date:  2013-01-24       Impact factor: 9.461

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  2 in total

1.  Brain Structure Among Middle-aged and Older Adults With Long-standing Type 1 Diabetes in the DCCT/EDIC Study.

Authors:  Alan M Jacobson; Barbara H Braffett; Guray Erus; Christopher M Ryan; Geert J Biessels; José A Luchsinger; Ionut Bebu; Rose A Gubitosi-Klug; Lisa Desiderio; Gayle M Lorenzi; Victoria R Trapani; John M Lachin; R Nick Bryan; Mohamad Habes; Ilya M Nasrallah
Journal:  Diabetes Care       Date:  2022-08-01       Impact factor: 17.152

2.  Tractography in Type 2 Diabetes Mellitus With Subjective Memory Complaints: A Diffusion Tensor Imaging Study.

Authors:  Jun Wang; Laiyang Ma; Guangyao Liu; Wenjuan Bai; Kai Ai; Pengfei Zhang; Wanjun Hu; Jing Zhang
Journal:  Front Neurosci       Date:  2022-04-06       Impact factor: 5.152

  2 in total

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