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European Radiology
Published in: European Radiology 11/2015

Open Access 01-11-2015 | Neuro

Aberrant functional connectivity of default-mode network in type 2 diabetes patients

Authors: Ying Cui, Yun Jiao, Hua-Jun Chen, Jie Ding, Bing Luo, Cheng-Yu Peng, Sheng-Hong Ju, Gao-Jun Teng

Published in: European Radiology | Issue 11/2015

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Abstract

Objectives

Type 2 diabetes mellitus is associated with increased risk for dementia. Patients with impaired cognition often show default-mode network disruption. We aimed to investigate the integrity of a default-mode network in diabetic patients by using independent component analysis, and to explore the relationship between network abnormalities, neurocognitive performance and diabetic variables.

Methods

Forty-two patients with type 2 diabetes and 42 well-matched healthy controls were included and underwent resting-state functional MRI in a 3 Tesla unit. Independent component analysis was adopted to extract the default-mode network, including its anterior and posterior components. Z-maps of both sub-networks were compared between the two groups and correlated with each clinical variable.

Results

Patients showed increased connectivity around the medial prefrontal cortex in the anterior sub-network, but decreased connectivity around the posterior cingulate cortex in the posterior sub-network. The decreased connectivity in the posterior part was significantly correlated with the score on Complex Figure Test-delay recall test (r = 0.359, p = 0.020), the time spent on Trail-Making Test-part B (r = -0.346, p = 0.025) and the insulin resistance level (r = −0.404, p = 0.024).

Conclusion

Dissociation pattern in the default-mode network was found in diabetic patients, which might provide powerful new insights into the neural mechanisms that underlie the diabetes-related cognitive decline.

Key points

• Type 2 diabetes mellitus is associated with impaired cognition
• Default- mode network plays a central role in maintaining normal cognition
• Network connectivity within the default mode was disrupted in type 2 diabetes patients
• Decreased network connectivity was correlated with cognitive performance and insulin resistance level
• Disrupted default-mode network might explain the impaired cognition in diabetic population
Appendix
Available only for authorised users
Literature
1.
2.
3.
Reijmer YD, Brundel M, de Bresser J, Kappelle LJ, Leemans A, Biessels GJ (2013) Microstructural white matter abnormalities and cognitive functioning in type 2 diabetes: a diffusion tensor imaging study. Diabetes Care 36:137–144PubMedCentralCrossRefPubMed
4.
Marder TJ, Flores VL, Bolo NR et al (2014) Task-induced brain activity patterns in type 2 diabetes: a potential biomarker for cognitive decline. Diabetes 63:3112–3119PubMedCentralCrossRefPubMed
5.
6.
Fox MD, Raichle ME (2007) Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci 8:700–711CrossRefPubMed
7.
Rosazza C, Minati L (2011) Resting-state brain networks: literature review and clinical applications. Neurol Sci 32:773–785CrossRefPubMed
8.
Buckner RL, Andrews-Hanna JR, Schacter DL (2008) The brain's default network: anatomy, function, and relevance to disease. Ann N Y Acad Sci 1124:1–38CrossRefPubMed
9.
Smucny J, Wylie KP, Tregellas JR (2014) Functional magnetic resonance imaging of intrinsic brain networks for translational drug discovery. Trends Pharmacol Sci 35:397–403PubMedCentralCrossRefPubMed
10.
Adriaanse SM, Sanz‐Arigita EJ, Binnewijzend MA et al (2014) Amyloid and its association with default network integrity in Alzheimer's disease. Hum Brain Mapp 35:779–791CrossRefPubMed
11.
Zhang L, Qi R, Wu S et al (2012) Brain default-mode network abnormalities in hepatic encephalopathy: a resting-state functional MRI study. Hum Brain Mapp 33:1384–1392CrossRefPubMed
12.
13.
De Luca M, Beckmann CF, De Stefano N, Matthews PM, Smith SM (2006) fMRI resting state networks define distinct modes of long-distance interactions in the human brain. NeuroImage 29:1359–1367CrossRefPubMed
14.
Greicius MD, Krasnow B, Reiss AL, Menon V (2003) Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci U S A 100:253–258PubMedCentralCrossRefPubMed
15.
16.
17.
18.
Manschot SM, Brands AM, van der Grond J et al (2006) Brain magnetic resonance imaging correlates of impaired cognition in patients with type 2 diabetes. Diabetes 55:1106–1113CrossRefPubMed
19.
van den Berg E, Kloppenborg RP, Kessels RPC, Kappelle LJ, Biessels GJ (2009) Type 2 diabetes mellitus, hypertension, dyslipidemia and obesity: a systematic comparison of their impact on cognition. Biochim Biophys Acta 1792:470–481CrossRefPubMed
20.
Klein R, Klein BE, Magli YL et al (1986) An alternative method of grading diabetic retinopathy. Ophthalmology 93:1183–1187CrossRefPubMed
21.
Ryan CM, Geckle MO (2000) Circumscribed cognitive dysfunction in middle-aged adults with type 2 diabetes. Diabetes Care 23:1486–1493CrossRefPubMed
22.
Schmidt M (1996) Rey auditory verbal learning test: a handbook. Western Psychological Services, Los Angeles
23.
Shin MS, Park SY, Park SR, Seol SH, Kwon JS (2006) Clinical and empirical applications of the Rey-Osterrieth Complex Figure Test. Nat Protoc 1:892–899CrossRefPubMed
24.
Brucki SM, Rocha MS (2004) Category fluency test: effects of age, gender and education on total scores, clustering and switching in Brazilian Portuguese-speaking subjects. Braz J Med Biol Res 37:1771–1777CrossRefPubMed
25.
Bowie CR, Harvey PD (2006) Administration and interpretation of the Trail Making Test. Nat Protoc 1:2277–2281CrossRefPubMed
26.
Samton JB, Ferrando SJ, Sanelli P, Karimi S, Raiteri V, Barnhill JW (2005) The clock drawing test: diagnostic, functional, and neuroimaging correlates in older medically ill adults. J Neuropsychiatry Clin Neurosci 17:533–540CrossRefPubMed
27.
Wahlund LO, Barkhof F, Fazekas F et al (2001) A new rating scale for age-related white matter changes applicable to MRI and CT. Stroke 32:1318–1322CrossRefPubMed
28.
29.
American Diabetes Association (2014) Executive summary: standards of medical care in diabetes—2014. Diabetes Care 37:S5–S13CrossRef
30.
Uddin LQ, Kelly AM, Biswal BB, Castellanos FX, Milham MP (2009) Functional connectivity of default mode network components: correlation, anticorrelation, and causality. Hum Brain Mapp 30:625–637CrossRefPubMed
31.
Jones DT, Machulda MM, Vemuri P et al (2011) Age-related changes in the default mode network are more advanced in Alzheimer disease. Neurology 77:1524–1531PubMedCentralCrossRefPubMed
32.
Zhu X, Wang X, Xiao J et al (2012) Evidence of a dissociation pattern in resting-state default mode network connectivity in first-episode, treatment-naive major depression patients. Biol Psychiatry 71:611–617CrossRefPubMed
33.
Starck T, Nikkinen J, Rahko J et al (2013) Resting state fMRI reveals a default mode dissociation between retrosplenial and medial prefrontal subnetworks in ASD despite motion scrubbing. Front Hum Neurosci 7:802PubMedCentralCrossRefPubMed
34.
35.
36.
Machulda MM, Jones DT, Vemuri P et al (2011) Effect of APOE epsilon4 status on intrinsic network connectivity in cognitively normal elderly subjects. Arch Neurol 68:1131–1136PubMedCentralCrossRefPubMed
37.
Tregellas JR, Tanabe J, Rojas DC et al (2011) Effects of an alpha 7-nicotinic agonist on default network activity in schizophrenia. Biol Psychiatry 69:7–11PubMedCentralCrossRefPubMed
38.
39.
Cui Y, Jiao Y, Chen YC et al (2014) Altered spontaneous brain activity in Type 2 diabetes: a resting-state functional MRI study. Diabetes 63:749–760CrossRefPubMed
40.
Hoogenboom WS, Marder TJ, Flores VL et al (2014) Cerebral white matter integrity and resting-state functional connectivity in middle-aged patients with type 2 diabetes. Diabetes 63:728–738PubMedCentralCrossRefPubMed
41.
Sheline YI, Barch DM, Price JL et al (2009) The default mode network and self-referential processes in depression. Proc Natl Acad Sci U S A 106:1942–1947PubMedCentralCrossRefPubMed
42.
Musselman DL, Betan E, Larsen H, Phillips LS (2003) Relationship of depression to diabetes types 1 and 2: epidemiology, biology, and treatment. Biol Psychiatry 54:317–329CrossRefPubMed
43.
Busing KA, Schonberg SO, Brade J, Wasser K (2013) Impact of blood glucose, diabetes, insulin, and obesity on standardized uptake values in tumors and healthy organs on 18F-FDG PET/CT. Nucl Med Biol 40:206–213CrossRefPubMed
44.
Euser SM, Sattar N, Witteman JC et al (2010) A prospective analysis of elevated fasting glucose levels and cognitive function in older people: results from PROSPER and the Rotterdam Study. Diabetes 59:1601–1607PubMedCentralCrossRefPubMed
45.
Van den Berg E, Kessels R, Kappelle L et al (2006) Type 2 diabetes, cognitive function and dementia: vascular and metabolic determinants. Drugs Today (Barc) 42:741–754CrossRef
46.
Baker LD, Cross DJ, Minoshima S et al (2011) Insulin resistance and Alzheimer-like reductions in regional cerebral glucose metabolism for cognitively normal adults with prediabetes or early type 2 diabetes. Arch Neurol 68:51–57PubMedCentralCrossRefPubMed
47.
Willette AA, Xu G, Johnson SC et al (2013) Insulin resistance, brain atrophy, and cognitive performance in late middle-aged adults. Diabetes Care 36:443–449PubMedCentralCrossRefPubMed
48.
Ott A, Stolk R, Van Harskamp F et al (1999) Diabetes mellitus and the risk of dementia The Rotterdam Study. Neurology 53:1937–1942CrossRefPubMed
Metadata
Title
Aberrant functional connectivity of default-mode network in type 2 diabetes patients
Authors
Ying Cui
Yun Jiao
Hua-Jun Chen
Jie Ding
Bing Luo
Cheng-Yu Peng
Sheng-Hong Ju
Gao-Jun Teng
Publication date
01-11-2015
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 11/2015
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-015-3746-8

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