Literature DB >> 26163816

Age of Childhood Onset in Type 1 Diabetes and Functional Brain Connectivity in Midlife.

John P Ryan1, Howard J Aizenstein, Trevor J Orchard, Christopher M Ryan, Judith A Saxton, David F Fine, Karen A Nunley, Caterina Rosano.   

Abstract

OBJECTIVES: The development of Type 1 diabetes mellitus (T1DM) within the first 7 years of life has been linked to poorer cognitive performance. Adults with T1DM have altered functional brain connectivity, but no studies have examined whether earlier age of T1DM onset is associated with functional connectivity later in life. Accordingly, we tested the relationship between age of onset and resting state functional connectivity in a cohort of middle-aged adults with childhood-onset T1DM.
METHODS: Participants were from a subsample of the Pittsburgh Epidemiology of Diabetes Complications cohort and included 66 adults (mean age = 47.54 years, 32 men). Resting state blood oxygen level-dependent activity was used to calculate mean connectivity for eight functional brain networks. A multivariate analysis of variance examined associations between age of onset and network connectivity. Diffusion tensor and fluid-attenuated inversion recovery images were analyzed to identify microstructural alterations and white-matter hyperintensity volumes.
RESULTS: Later childhood onset of T1DM was associated with lower connectivity (F(8,57) = 2.40, p = .026). A significant interaction was present for current age such that an inverse association with age of onset for functional connectivity was present in older individuals (F(8,55) = 2.88, p = .035). Lower connectivity was associated with older age, increased white-matter hyperintensity volume, and lower microstructural integrity.
CONCLUSIONS: Diagnosis of T1DM later in childhood may be associated with lower brain functional connectivity, particularly in those surviving into older ages. These alterations may be an early marker for subsequent cognitive decrements. Future studies are warranted to understand the pathways underlying these associations.

Entities:  

Mesh:

Year:  2015        PMID: 26163816      PMCID: PMC4503367          DOI: 10.1097/PSY.0000000000000206

Source DB:  PubMed          Journal:  Psychosom Med        ISSN: 0033-3174            Impact factor:   4.312


  50 in total

1.  Brain connectivity related to working memory performance.

Authors:  Michelle Hampson; Naomi R Driesen; Pawel Skudlarski; John C Gore; R Todd Constable
Journal:  J Neurosci       Date:  2006-12-20       Impact factor: 6.167

Review 2.  The structural and functional connectivity of the posterior cingulate cortex: comparison between deterministic and probabilistic tractography for the investigation of structure-function relationships.

Authors:  Sakh Khalsa; Stephen D Mayhew; Magdalena Chechlacz; Manny Bagary; Andrew P Bagshaw
Journal:  Neuroimage       Date:  2013-12-21       Impact factor: 6.556

Review 3.  Structural and functional brain networks: from connections to cognition.

Authors:  Hae-Jeong Park; Karl Friston
Journal:  Science       Date:  2013-11-01       Impact factor: 47.728

4.  A Brain-Wide Study of Age-Related Changes in Functional Connectivity.

Authors:  Linda Geerligs; Remco J Renken; Emi Saliasi; Natasha M Maurits; Monicque M Lorist
Journal:  Cereb Cortex       Date:  2014-02-13       Impact factor: 5.357

5.  Can clinical factors estimate insulin resistance in type 1 diabetes?

Authors:  K V Williams; J R Erbey; D Becker; S Arslanian; T J Orchard
Journal:  Diabetes       Date:  2000-04       Impact factor: 9.461

6.  Retinopathy and nephropathy in patients with type 1 diabetes four years after a trial of intensive therapy.

Authors:  John M Lachin; Saul Genuth; Patricia Cleary; Matthew D Davis; David M Nathan
Journal:  N Engl J Med       Date:  2000-02-10       Impact factor: 91.245

Review 7.  Diffusion tensor imaging of normal brain development.

Authors:  Shoko Yoshida; Kenichi Oishi; Andreia V Faria; Susumu Mori
Journal:  Pediatr Radiol       Date:  2013-01-04

8.  Alterations in white matter structure in young children with type 1 diabetes.

Authors:  Naama Barnea-Goraly; Mira Raman; Paul Mazaika; Matthew Marzelli; Tamara Hershey; Stuart A Weinzimer; Tandy Aye; Bruce Buckingham; Nelly Mauras; Neil H White; Larry A Fox; Michael Tansey; Roy W Beck; Katrina J Ruedy; Craig Kollman; Peiyao Cheng; Allan L Reiss
Journal:  Diabetes Care       Date:  2013-12-06       Impact factor: 19.112

9.  Neurological consequences of diabetic ketoacidosis at initial presentation of type 1 diabetes in a prospective cohort study of children.

Authors:  Fergus J Cameron; Shannon E Scratch; Caroline Nadebaum; Elisabeth A Northam; Ildiko Koves; Juliet Jennings; Kristina Finney; Jeffrey J Neil; R Mark Wellard; Mark Mackay; Terrie E Inder
Journal:  Diabetes Care       Date:  2014-06       Impact factor: 19.112

10.  Changes in MEG resting-state networks are related to cognitive decline in type 1 diabetes mellitus patients.

Authors:  Matteo Demuru; Eelco van Duinkerken; Matteo Fraschini; Francesco Marrosu; Frank J Snoek; Frederik Barkhof; Martin Klein; Michaela Diamant; Arjan Hillebrand
Journal:  Neuroimage Clin       Date:  2014-06-12       Impact factor: 4.881

View more
  8 in total

1.  Diabetes, Obesity, and the Brain: New Developments in Biobehavioral Medicine.

Authors:  Susan A Everson-Rose; John P Ryan
Journal:  Psychosom Med       Date:  2015 Jul-Aug       Impact factor: 4.312

2.  Divergent Influences of Cardiovascular Disease Risk Factor Domains on Cognition and Gray and White Matter Morphology.

Authors:  Mitzi M Gonzales; Olusola Ajilore; Rebecca C Charlton; Jamie Cohen; Shaolin Yang; Erica Sieg; Dulal K Bhaumik; Anand Kumar; Melissa Lamar
Journal:  Psychosom Med       Date:  2017-06       Impact factor: 4.312

3.  Altered eigenvector centrality is related to local resting-state network functional connectivity in patients with longstanding type 1 diabetes mellitus.

Authors:  Eelco van Duinkerken; Menno M Schoonheim; Richard G IJzerman; Annette C Moll; Jesus Landeira-Fernandez; Martin Klein; Michaela Diamant; Frank J Snoek; Frederik Barkhof; Alle-Meije Wink
Journal:  Hum Brain Mapp       Date:  2017-04-21       Impact factor: 5.038

4.  Regional Gray Matter Volumes as Related to Psychomotor Slowing in Adults with Type 1 Diabetes.

Authors:  Karen A Nunley; Christopher M Ryan; Howard J Aizenstein; J Richard Jennings; Rebecca L MacCloud; Trevor J Orchard; Caterina Rosano
Journal:  Psychosom Med       Date:  2017-06       Impact factor: 4.312

Review 5.  Resting-state functional MR imaging shed insights into the brain of diabetes.

Authors:  Yun Fei Wang; Xue Man Ji; Guang Ming Lu; Long Jiang Zhang
Journal:  Metab Brain Dis       Date:  2016-07-26       Impact factor: 3.584

Review 6.  Complex mechanisms linking neurocognitive dysfunction to insulin resistance and other metabolic dysfunction.

Authors:  Luke E Stoeckel; Zoe Arvanitakis; Sam Gandy; Dana Small; C Ronald Kahn; Alvaro Pascual-Leone; Aaron Pawlyk; Robert Sherwin; Philip Smith
Journal:  F1000Res       Date:  2016-03-15

7.  Abnormal Functional Connectivity Density in New-Onset Type 1 Diabetes Mellitus Children: A Resting-State Functional Magnetic Resonance Imaging Study.

Authors:  Kun Liu; Jiawen Song; Jiahui Jin; Xiaoyan Huang; Xinjian Ye; Shihan Cui; Yongjin Zhou; Xiaozheng Liu; Wei Chen; Zhihan Yan; Xiaoou Shan; Yuchuan Fu
Journal:  Front Psychiatry       Date:  2020-04-17       Impact factor: 4.157

8.  Brain Activation and Psychomotor Speed in Middle-Aged Patients with Type 1 Diabetes: Relationships with Hyperglycemia and Brain Small Vessel Disease.

Authors:  Misun Hwang; Dana L Tudorascu; Karen Nunley; Helmet Karim; Howard J Aizenstein; Trevor J Orchard; Caterina Rosano
Journal:  J Diabetes Res       Date:  2016-02-21       Impact factor: 4.011

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.