@article{RN186,
   author = {van Bussel, F. C. and Backes, W. H. and van Veenendaal, T. M. and Hofman, P. A. and van Boxtel, M. P. and Schram, M. T. and Sep, S. J. and Dagnelie, P. C. and Schaper, N. and Stehouwer, C. D. and Wildberger, J. E. and Jansen, J. F.},
   title = {Functional Brain Networks Are Altered in Type 2 Diabetes and Prediabetes: Signs for Compensation of Cognitive Decrements? The Maastricht Study},
   journal = {Diabetes},
   volume = {65},
   number = {8},
   pages = {2404-13},
   note = {van Bussel, Frank C G
Backes, Walter H
van Veenendaal, Tamar M
Hofman, Paul A M
van Boxtel, Martin P J
Schram, Miranda T
Sep, Simone J S
Dagnelie, Pieter C
Schaper, Nicolaas
Stehouwer, Coen D A
Wildberger, Joachim E
Jansen, Jacobus F A
eng
Research Support, Non-U.S. Gov't
2016/05/25 06:00
Diabetes. 2016 Aug;65(8):2404-13. doi: 10.2337/db16-0128. Epub 2016 May 23.},
   abstract = {Type 2 diabetes is associated with cognitive decrements, accelerated cognitive decline, and increased risk for dementia. Patients with the metabolic syndrome, a major risk factor for diabetes, may display comparable cognitive decrements as seen in type 2 diabetes. Currently, the impact of diabetes and prediabetes on cognition and the underlying organization of functional brain networks still remain to be elucidated. This study investigated whether functional brain networks are affected in type 2 diabetes and prediabetes. Forty-seven participants with diabetes, 47 participants with prediabetes, and 45 control participants underwent detailed cognitive testing and 3-Tesla resting state functional MRI. Graph theoretical network analysis was performed to investigate alterations in functional cerebral networks. Participants with diabetes displayed altered network measures, characterized by a higher normalized cluster coefficient and higher local efficiency, compared with control participants. The network measures of the participants with prediabetes fell between those with diabetes and control participants. Lower processing speed was associated with shorter path length and higher global efficiency. Participants with type 2 diabetes have altered functional brain networks. This alteration is already apparent in the prediabetic stage to a somewhat lower level, hinting at functional reorganization of the cerebral networks as a compensatory mechanism for cognitive decrements.},
   keywords = {Aged
Brain/metabolism/physiopathology
Brain Mapping
Cognition/physiology
Cognition Disorders/metabolism/physiopathology
Cross-Sectional Studies
Diabetes Mellitus, Type 2/*metabolism/*physiopathology
Female
Humans
Magnetic Resonance Imaging
Male
Middle Aged
Prediabetic State/*metabolism/*physiopathology},
   ISSN = {1939-327X (Electronic)
0012-1797 (Linking)},
   DOI = {10.2337/db16-0128},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/27217484
https://diabetes.diabetesjournals.org/content/diabetes/65/8/2404.full.pdf},
   year = {2016},
   type = {Journal Article}
}

{"_id":"gp4XcpeMeaMFWmyKv","bibbaseid":"vanbussel-backes-vanveenendaal-hofman-vanboxtel-schram-sep-dagnelie-etal-functionalbrainnetworksarealteredintype2diabetesandprediabetessignsforcompensationofcognitivedecrementsthemaastrichtstudy-2016","downloads":0,"creationDate":"2017-09-02T16:45:18.616Z","title":"Functional Brain Networks Are Altered in Type 2 Diabetes and Prediabetes: Signs for Compensation of Cognitive Decrements? The Maastricht Study","author_short":["van Bussel, F. C.","Backes, W. H.","van Veenendaal, T. M.","Hofman, P. A.","van Boxtel, M. P.","Schram, M. T.","Sep, S. J.","Dagnelie, P. C.","Schaper, N.","Stehouwer, C. D.","Wildberger, J. E.","Jansen, J. F."],"year":2016,"bibtype":"article","biburl":"https://raw.githubusercontent.com/jansenjfa1/bibbase.github.io/master/jansenjfa.bib","bibdata":{"bibtype":"article","type":"Journal Article","author":[{"propositions":["van"],"lastnames":["Bussel"],"firstnames":["F.","C."],"suffixes":[]},{"propositions":[],"lastnames":["Backes"],"firstnames":["W.","H."],"suffixes":[]},{"propositions":["van"],"lastnames":["Veenendaal"],"firstnames":["T.","M."],"suffixes":[]},{"propositions":[],"lastnames":["Hofman"],"firstnames":["P.","A."],"suffixes":[]},{"propositions":["van"],"lastnames":["Boxtel"],"firstnames":["M.","P."],"suffixes":[]},{"propositions":[],"lastnames":["Schram"],"firstnames":["M.","T."],"suffixes":[]},{"propositions":[],"lastnames":["Sep"],"firstnames":["S.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Dagnelie"],"firstnames":["P.","C."],"suffixes":[]},{"propositions":[],"lastnames":["Schaper"],"firstnames":["N."],"suffixes":[]},{"propositions":[],"lastnames":["Stehouwer"],"firstnames":["C.","D."],"suffixes":[]},{"propositions":[],"lastnames":["Wildberger"],"firstnames":["J.","E."],"suffixes":[]},{"propositions":[],"lastnames":["Jansen"],"firstnames":["J.","F."],"suffixes":[]}],"title":"Functional Brain Networks Are Altered in Type 2 Diabetes and Prediabetes: Signs for Compensation of Cognitive Decrements? The Maastricht Study","journal":"Diabetes","volume":"65","number":"8","pages":"2404-13","note":"van Bussel, Frank C G Backes, Walter H van Veenendaal, Tamar M Hofman, Paul A M van Boxtel, Martin P J Schram, Miranda T Sep, Simone J S Dagnelie, Pieter C Schaper, Nicolaas Stehouwer, Coen D A Wildberger, Joachim E Jansen, Jacobus F A eng Research Support, Non-U.S. Gov't 2016/05/25 06:00 Diabetes. 2016 Aug;65(8):2404-13. doi: 10.2337/db16-0128. Epub 2016 May 23.","abstract":"Type 2 diabetes is associated with cognitive decrements, accelerated cognitive decline, and increased risk for dementia. Patients with the metabolic syndrome, a major risk factor for diabetes, may display comparable cognitive decrements as seen in type 2 diabetes. Currently, the impact of diabetes and prediabetes on cognition and the underlying organization of functional brain networks still remain to be elucidated. This study investigated whether functional brain networks are affected in type 2 diabetes and prediabetes. Forty-seven participants with diabetes, 47 participants with prediabetes, and 45 control participants underwent detailed cognitive testing and 3-Tesla resting state functional MRI. Graph theoretical network analysis was performed to investigate alterations in functional cerebral networks. Participants with diabetes displayed altered network measures, characterized by a higher normalized cluster coefficient and higher local efficiency, compared with control participants. The network measures of the participants with prediabetes fell between those with diabetes and control participants. Lower processing speed was associated with shorter path length and higher global efficiency. Participants with type 2 diabetes have altered functional brain networks. This alteration is already apparent in the prediabetic stage to a somewhat lower level, hinting at functional reorganization of the cerebral networks as a compensatory mechanism for cognitive decrements.","keywords":"Aged Brain/metabolism/physiopathology Brain Mapping Cognition/physiology Cognition Disorders/metabolism/physiopathology Cross-Sectional Studies Diabetes Mellitus, Type 2/*metabolism/*physiopathology Female Humans Magnetic Resonance Imaging Male Middle Aged Prediabetic State/*metabolism/*physiopathology","issn":"1939-327X (Electronic) 0012-1797 (Linking)","doi":"10.2337/db16-0128","url":"http://www.ncbi.nlm.nih.gov/pubmed/27217484 https://diabetes.diabetesjournals.org/content/diabetes/65/8/2404.full.pdf","year":"2016","bibtex":"@article{RN186,\n author = {van Bussel, F. C. and Backes, W. H. and van Veenendaal, T. M. and Hofman, P. A. and van Boxtel, M. P. and Schram, M. T. and Sep, S. J. and Dagnelie, P. C. and Schaper, N. and Stehouwer, C. D. and Wildberger, J. E. and Jansen, J. F.},\n title = {Functional Brain Networks Are Altered in Type 2 Diabetes and Prediabetes: Signs for Compensation of Cognitive Decrements? The Maastricht Study},\n journal = {Diabetes},\n volume = {65},\n number = {8},\n pages = {2404-13},\n note = {van Bussel, Frank C G\nBackes, Walter H\nvan Veenendaal, Tamar M\nHofman, Paul A M\nvan Boxtel, Martin P J\nSchram, Miranda T\nSep, Simone J S\nDagnelie, Pieter C\nSchaper, Nicolaas\nStehouwer, Coen D A\nWildberger, Joachim E\nJansen, Jacobus F A\neng\nResearch Support, Non-U.S. Gov't\n2016/05/25 06:00\nDiabetes. 2016 Aug;65(8):2404-13. doi: 10.2337/db16-0128. Epub 2016 May 23.},\n abstract = {Type 2 diabetes is associated with cognitive decrements, accelerated cognitive decline, and increased risk for dementia. Patients with the metabolic syndrome, a major risk factor for diabetes, may display comparable cognitive decrements as seen in type 2 diabetes. Currently, the impact of diabetes and prediabetes on cognition and the underlying organization of functional brain networks still remain to be elucidated. This study investigated whether functional brain networks are affected in type 2 diabetes and prediabetes. Forty-seven participants with diabetes, 47 participants with prediabetes, and 45 control participants underwent detailed cognitive testing and 3-Tesla resting state functional MRI. Graph theoretical network analysis was performed to investigate alterations in functional cerebral networks. Participants with diabetes displayed altered network measures, characterized by a higher normalized cluster coefficient and higher local efficiency, compared with control participants. The network measures of the participants with prediabetes fell between those with diabetes and control participants. Lower processing speed was associated with shorter path length and higher global efficiency. Participants with type 2 diabetes have altered functional brain networks. This alteration is already apparent in the prediabetic stage to a somewhat lower level, hinting at functional reorganization of the cerebral networks as a compensatory mechanism for cognitive decrements.},\n keywords = {Aged\nBrain/metabolism/physiopathology\nBrain Mapping\nCognition/physiology\nCognition Disorders/metabolism/physiopathology\nCross-Sectional Studies\nDiabetes Mellitus, Type 2/*metabolism/*physiopathology\nFemale\nHumans\nMagnetic Resonance Imaging\nMale\nMiddle Aged\nPrediabetic State/*metabolism/*physiopathology},\n ISSN = {1939-327X (Electronic)\n0012-1797 (Linking)},\n DOI = {10.2337/db16-0128},\n url = {http://www.ncbi.nlm.nih.gov/pubmed/27217484\nhttps://diabetes.diabetesjournals.org/content/diabetes/65/8/2404.full.pdf},\n year = {2016},\n type = {Journal Article}\n}\n\n","author_short":["van Bussel, F. C.","Backes, W. H.","van Veenendaal, T. M.","Hofman, P. A.","van Boxtel, M. 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