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European Radiology
Erschienen in: European Radiology 10/2017

03.04.2017 | Neuro

Abnormal subcortical nuclei shapes in patients with type 2 diabetes mellitus

Erschienen in: European Radiology | Ausgabe 10/2017

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Abstract

Objectives

Type 2 diabetes mellitus (T2DM) increases the risk of brain atrophy and dementia. We aimed to elucidate deep grey matter (GM) structural abnormalities and their relationships with T2DM cognitive deficits by combining region of interest (ROI)-based volumetry, voxel-based morphometry (VBM) and shape analysis.

Methods

We recruited 23 T2DM patients and 24 age-matched healthy controls to undergo T1-weighted structural MRI scanning. Images were analysed using the three aforementioned methods to obtain deep GM structural shapes and volumes. Biochemical and cognitive assessments were made and were correlated with the resulting metrics.

Results

Shape analysis revealed that T2DM is associated with focal atrophy in the bilateral caudate head and dorso-medial part of the thalamus. ROI-based volumetry only detected thalamic volume reduction in T2DM when compared to the controls. No significant between-group differences were found by VBM. Furthermore, a worse performance of cognitive processing speed correlated with more severe GM atrophy in the bilateral dorso-medial part of the thalamus. Also, the GM volume in the bilateral dorso-medial part of the thalamus changed negatively with HbA1c.

Conclusions

Shape analysis is sensitive in identifying T2DM deep GM structural abnormalities and their relationships with cognitive impairments, which may greatly assist in clarifying the neural substrate of T2DM cognitive dysfunction.

Key Points

• Type 2 diabetes mellitus is accompanied with brain atrophy and cognitive dysfunction
• Deep grey matter structures are essential for multiple cognitive processes
• Shape analysis revealed local atrophy in the dorso-medial thalamus and caudatum in patients
• Dorso-medial thalamic atrophy correlated to cognitive processing speed slowing and high HbA1c.
• Shape analysis has advantages in unraveling neural substrates of diabetic cognitive deficits
Literatur
1.
Biessels GJ, Staekenborg S, Brunner E, Brayne C, Scheltens P (2006) Risk of dementia in diabetes mellitus: a systematic review. Lancet Neurol 5:64–74CrossRefPubMed
2.
Moran C, Phan TG, Chen J et al (2013) Brain atrophy in type 2 diabetes: regional distribution and influence on cognition. Diabetes Care 36:4036–4042CrossRefPubMedPubMedCentral
3.
4.
Ryan JP, Fine DF, Rosano C (2014) Type 2 diabetes and cognitive impairment contributions from neuroimaging. J Geriatr Psychiatry Neurol 27:47–55CrossRefPubMedPubMedCentral
5.
Akisaki T, Sakurai T, Takata T et al (2006) 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). Diabetes Metab Res Rev 22:376–384CrossRefPubMed
6.
Peng B, Chen Z, Ma L, Dai Y (2015) Cerebral alterations of type 2 diabetes mellitus on MRI: a pilot study. Neurosci Lett 606:100–105CrossRefPubMed
7.
Rofey DL, Arslanian SA, El Nokali NE et al (2015) Brain volume and white matter in youth with type 2 diabetes compared to obese and normal weight, non-diabetic peers: a pilot study. Int J Dev Neurosci 46:88–91CrossRefPubMed
8.
Erus G, Battapady H, Zhang T et al (2015) Spatial patterns of structural brain changes in type 2 diabetic patients and their longitudinal progression with intensive control of blood glucose. Diabetes Care 38:97–104CrossRefPubMed
9.
Brundel M, van den Heuvel M, de Bresser J, Kappelle LJ, Biessels GJ, Group UDES (2010) Cerebral cortical thickness in patients with type 2 diabetes. J Neurol Sci 299:126–130CrossRefPubMed
10.
Johansen-Berg H, Behrens TE, Sillery E et al (2005) Functional-anatomical validation and individual variation of diffusion tractography-based segmentation of the human thalamus. Cereb Cortex 15:31–39CrossRefPubMed
11.
Patenaude B, Smith SM, Kennedy DN, Jenkinson M (2011) A Bayesian model of shape and appearance for subcortical brain segmentation. Neuroimage 56:907–922CrossRefPubMedPubMedCentral
12.
Coscia DM, Narr KL, Robinson DG et al (2009) Volumetric and shape analysis of the thalamus in first-episode schizophrenia. Hum Brain Mapp 30:1236–1245CrossRefPubMed
13.
American Diabetes Association (2013) Diagnosis and classification of diabetes mellitus. Diabetes Care 36:S67–S74CrossRef
14.
15.
Cui Y, Jiao Y, Chen Y-C et al (2014) Altered spontaneous brain activity in type 2 diabetes: a resting-state functional MRI study. Diabetes 63:749–760CrossRefPubMed
16.
Reijmer YD, Brundel M, de Bresser J, Kappelle LJ, Leemans A, Biessels GJ et al (2013) Microstructural white matter abnormalities and cognitive functioning in type 2 diabetes: a diffusion tensor imaging study. Diabetes Care 36:137–144CrossRefPubMed
17.
Klein R, Klein BE, Magli YL et al (1986) An alternative method of grading diabetic retinopathy. Ophthalmology 93:1183–1187CrossRefPubMed
18.
Schmidt M (1996) Rey auditory verbal learning test: a handbook. Los Angeles, Western Psychological Services
19.
Chen J, Li J, Han Q et al (2016) Long-term acclimatization to high-altitude hypoxia modifies interhemispheric functional and structural connectivity in the adult brain. Brain Behav 6, e00521CrossRef
20.
Bowie CR, Harvey PD (2006) Administration and interpretation of the trail making test. Nat Protoc 1:2277–2281CrossRefPubMed
21.
Troyer AK, Leach L, Strauss E (2006) Aging and response inhibition: normative data for the Victoria Stroop Test. Aging Neuropsychol Cogn 13:20–35CrossRef
22.
Jenkinson M, Beckmann CF, Behrens TE, Woolrich MW, Smith SM (2012) FSL. Neuroimage 62:782–790CrossRefPubMed
23.
Cootes TF, Taylor CJ, Cooper DH, Graham J (1995) Active shape models: their training and application. Comput Vis Image Underst 61:38–59CrossRef
24.
Zhang J, Zhang H, Chen J, Fan M, Gong Q (2013) Structural modulation of brain development by oxygen: evidence on adolescents migrating from high altitude to sea level environment. PLoS One 8, e67803CrossRefPubMedPubMedCentral
25.
Jack C Jr, Twomey C, Zinsmeister A, Sharbrough F, Petersen R, Cascino G (1989) Anterior temporal lobes and hippocampal formations: normative volumetric measurements from MR images in young adults. Radiology 172:549–554CrossRefPubMed
26.
Arndt S, Cohen G, Alliger RJ, Swayze VW, Andreasen NC (1991) Problems with ratio and proportion measures of imaged cerebral structures. Psychiatry Res Neuroimaging 40:79–89CrossRefPubMed
27.
Smith SM, Nichols TE (2009) Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage 44:83–98CrossRefPubMed
28.
Buckner RL, Head D, Parker J et al (2004) A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume. Neuroimage 23:724–738CrossRefPubMed
29.
Cohen J (1977) Statistical power analysis for the behavioral sciences. Academic Press, New York
30.
Behrens T, Johansen-Berg H, Woolrich M et al (2003) Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging. Nat Neurosci 6:750–757CrossRefPubMed
31.
Taber KH, Wen C, Khan A, Hurley RA (2004) The limbic thalamus. J Neuropsychiatry Clin Neurosci 16:127–132CrossRefPubMed
32.
Ryan CM, Geckle MO (2000) Circumscribed cognitive dysfunction in middle-aged adults with type 2 diabetes. Diabetes Care 23:1486–1493CrossRefPubMed
33.
Van Der Werf YD, Tisserand DJ, Visser PJ et al (2001) Thalamic volume predicts performance on tests of cognitive speed and decreases in healthy aging: a magnetic resonance imaging-based volumetric analysis. Cogn Brain Res 11:377–385CrossRef
34.
Fama R, Sullivan EV (2015) Thalamic structures and associated cognitive functions: relations with age and aging. Neurosci Biobehav Rev 54:29–37CrossRefPubMedPubMedCentral
35.
Wennberg AM, Spira AP, Pettigrew C et al (2016) Blood glucose levels and cortical thinning in cognitively normal, middle-aged adults. J Neurol Sci 365:89–95CrossRefPubMedPubMedCentral
36.
Cherbuin N, Sachdev P, Anstey KJ (2012) Higher normal fasting plasma glucose is associated with hippocampal atrophy The PATH Study. Neurology 79:1019–1026CrossRefPubMed
37.
Ryan CM, Freed MI, Rood JA, Cobitz AR, Waterhouse BR, Strachan MW (2006) Improving metabolic control leads to better working memory in adults with type 2 diabetes. Diabetes Care 29:345–351CrossRefPubMed
38.
Srikanth V, Maczurek A, Phan T et al (2011) Advanced glycation endproducts and their receptor RAGE in Alzheimer's disease. Neurobiol Aging 32:763–777CrossRefPubMed
39.
Paneni F, Beckman JA, Creager MA et al (2013) Diabetes and vascular disease: pathophysiology, clinical consequences, and medical therapy: part I. Eur Heart J 34:2436–2446CrossRefPubMedPubMedCentral
Metadaten
Titel
Abnormal subcortical nuclei shapes in patients with type 2 diabetes mellitus
Publikationsdatum
03.04.2017
Erschienen in
European Radiology / Ausgabe 10/2017
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-017-4790-3

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