@article{RN233,
   author = {Vergoossen, L. W. and Schram, M. T. and de Jong, J. J. and Stehouwer, C. D. and Schaper, N. C. and Henry, R. M. and van der Kallen, C. J. and Dagnelie, P. C. and van Boxtel, M. P. and Eussen, S. J. and Backes, W. H. and Jansen, J. F.},
   title = {White Matter Connectivity Abnormalities in Prediabetes and Type 2 Diabetes: The Maastricht Study},
   journal = {Diabetes Care},
   volume = {43},
   number = {1},
   pages = {201-208},
   note = {Vergoossen, Laura W
Schram, Miranda T
de Jong, Joost J
Stehouwer, Coen D
Schaper, Nicolaas C
Henry, Ronald M
van der Kallen, Carla J
Dagnelie, Pieter C
van Boxtel, Martin P
Eussen, Simone J
Backes, Walter H
Jansen, Jacobus F
eng
2019/10/12 06:00
Diabetes Care. 2020 Jan;43(1):201-208. doi: 10.2337/dc19-0762. Epub 2019 Oct 10.},
   abstract = {OBJECTIVE: Prediabetes and type 2 diabetes are associated with structural brain abnormalities, often observed in cognitive disorders. Besides visible lesions, (pre)diabetes might also be associated with alterations of the intrinsic organization of the white matter. In this population-based cohort study, the association of prediabetes and type 2 diabetes with white matter network organization was assessed. RESEARCH DESIGN AND METHODS: In the Maastricht Study, a type 2 diabetes-enriched population-based cohort study (1,361 subjects with normal glucose metabolism, 348 with prediabetes, and 510 with type 2 diabetes assessed by oral glucose tolerance test; 52% men; aged 59 +/- 8 years), 3 Tesla structural and diffusion MRI was performed. Whole-brain white matter tractography was used to assess the number of connections (node degree) between 94 brain regions and the topology (graph measures). Multivariable linear regression analyses were used to investigate the associations of glucose metabolism status with network measures. Associations were adjusted for age, sex, education, and cardiovascular risk factors. RESULTS: Prediabetes and type 2 diabetes were associated with lower node degree after full adjustment (standardized [st]betaPrediabetes = -0.055 [95% CI -0.172, 0.062], stbetaType2diabetes = -0.256 [-0.379, -0.133], P trend < 0.001). Prediabetes was associated with lower local efficiency (stbeta = -0.084 [95% CI -0.159, -0.008], P = 0.033) and lower clustering coefficient (stbeta = -0.097 [95% CI -0.189, -0.005], P = 0.049), whereas type 2 diabetes was not. Type 2 diabetes was associated with higher communicability (stbeta = 0.148 [95% CI 0.042, 0.253], P = 0.008). CONCLUSIONS: These findings indicate that prediabetes and type 2 diabetes are associated with fewer white matter connections and weaker organization of white matter networks. Type 2 diabetes was associated with higher communicability, which was not yet observed in prediabetes and may reflect the use of alternative white matter connections.},
   ISSN = {1935-5548 (Electronic)
0149-5992 (Linking)},
   DOI = {10.2337/dc19-0762},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/31601638
https://care.diabetesjournals.org/content/43/1/201
https://care.diabetesjournals.org/content/43/1/201.long},
   year = {2020},
   type = {Journal Article}
}

{"_id":"ZN2q4yB34XGJpk72G","bibbaseid":"vergoossen-schram-dejong-stehouwer-schaper-henry-vanderkallen-dagnelie-etal-whitematterconnectivityabnormalitiesinprediabetesandtype2diabetesthemaastrichtstudy-2020","authorIDs":["4Tm3oPxNFFsEkR6pe","5e685fc7149172de01000144","7YnznfJEbNoLRQfCK","9uYiZAT4SGYEdwuhG","CHX5tw5dNmS7tFMt9","DB2BA5PJJ7o8mgnGD","DoNKbgB55xkR6SehT","FEbMpouv9cRyJBZv3","GtL5d4iFpEuoJacN7","H6wbK4u5jYRFL8LDs","HLzbcixmNhduwmTFt","Jeci2sNzJiMSDeJvc","NAFTFJTb9GJgC2h6i","QqoDaykDZWJd9YuAu","RLbGKAvkbQAw2q2pz","TCejZCDssndxpTcJg","TEAWLnKpXtQE8hs6C","dGQk363jLcfCvKxGW","dR2ye6bifAsonnNMz","eJ9fizm2KNxBgiNfF","gxe8DkJ5qKbznZgZq","hGdeHv63Gb3m6CybW","hShritfXo7Lzr2RkJ","jDvmx9aE5aohaf7P7","rQrciQZhPyL9ovwM8","ryLRyF5HAWnpncbbr","sFGhcvCCManvCwLHz","txfqjmhcnxmvnAv2m","zTR82AHQxLXLWt4wi"],"author_short":["Vergoossen, L. W.","Schram, M. T.","de Jong, J. J.","Stehouwer, C. D.","Schaper, N. C.","Henry, R. M.","van der Kallen, C. J.","Dagnelie, P. C.","van Boxtel, M. P.","Eussen, S. J.","Backes, W. H.","Jansen, J. F."],"bibdata":{"bibtype":"article","type":"Journal Article","author":[{"propositions":[],"lastnames":["Vergoossen"],"firstnames":["L.","W."],"suffixes":[]},{"propositions":[],"lastnames":["Schram"],"firstnames":["M.","T."],"suffixes":[]},{"propositions":["de"],"lastnames":["Jong"],"firstnames":["J.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Stehouwer"],"firstnames":["C.","D."],"suffixes":[]},{"propositions":[],"lastnames":["Schaper"],"firstnames":["N.","C."],"suffixes":[]},{"propositions":[],"lastnames":["Henry"],"firstnames":["R.","M."],"suffixes":[]},{"propositions":["van","der"],"lastnames":["Kallen"],"firstnames":["C.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Dagnelie"],"firstnames":["P.","C."],"suffixes":[]},{"propositions":["van"],"lastnames":["Boxtel"],"firstnames":["M.","P."],"suffixes":[]},{"propositions":[],"lastnames":["Eussen"],"firstnames":["S.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Backes"],"firstnames":["W.","H."],"suffixes":[]},{"propositions":[],"lastnames":["Jansen"],"firstnames":["J.","F."],"suffixes":[]}],"title":"White Matter Connectivity Abnormalities in Prediabetes and Type 2 Diabetes: The Maastricht Study","journal":"Diabetes Care","volume":"43","number":"1","pages":"201-208","note":"Vergoossen, Laura W Schram, Miranda T de Jong, Joost J Stehouwer, Coen D Schaper, Nicolaas C Henry, Ronald M van der Kallen, Carla J Dagnelie, Pieter C van Boxtel, Martin P Eussen, Simone J Backes, Walter H Jansen, Jacobus F eng 2019/10/12 06:00 Diabetes Care. 2020 Jan;43(1):201-208. doi: 10.2337/dc19-0762. Epub 2019 Oct 10.","abstract":"OBJECTIVE: Prediabetes and type 2 diabetes are associated with structural brain abnormalities, often observed in cognitive disorders. Besides visible lesions, (pre)diabetes might also be associated with alterations of the intrinsic organization of the white matter. In this population-based cohort study, the association of prediabetes and type 2 diabetes with white matter network organization was assessed. RESEARCH DESIGN AND METHODS: In the Maastricht Study, a type 2 diabetes-enriched population-based cohort study (1,361 subjects with normal glucose metabolism, 348 with prediabetes, and 510 with type 2 diabetes assessed by oral glucose tolerance test; 52% men; aged 59 +/- 8 years), 3 Tesla structural and diffusion MRI was performed. Whole-brain white matter tractography was used to assess the number of connections (node degree) between 94 brain regions and the topology (graph measures). Multivariable linear regression analyses were used to investigate the associations of glucose metabolism status with network measures. Associations were adjusted for age, sex, education, and cardiovascular risk factors. RESULTS: Prediabetes and type 2 diabetes were associated with lower node degree after full adjustment (standardized [st]betaPrediabetes = -0.055 [95% CI -0.172, 0.062], stbetaType2diabetes = -0.256 [-0.379, -0.133], P trend < 0.001). Prediabetes was associated with lower local efficiency (stbeta = -0.084 [95% CI -0.159, -0.008], P = 0.033) and lower clustering coefficient (stbeta = -0.097 [95% CI -0.189, -0.005], P = 0.049), whereas type 2 diabetes was not. Type 2 diabetes was associated with higher communicability (stbeta = 0.148 [95% CI 0.042, 0.253], P = 0.008). CONCLUSIONS: These findings indicate that prediabetes and type 2 diabetes are associated with fewer white matter connections and weaker organization of white matter networks. Type 2 diabetes was associated with higher communicability, which was not yet observed in prediabetes and may reflect the use of alternative white matter connections.","issn":"1935-5548 (Electronic) 0149-5992 (Linking)","doi":"10.2337/dc19-0762","url":"http://www.ncbi.nlm.nih.gov/pubmed/31601638 https://care.diabetesjournals.org/content/43/1/201 https://care.diabetesjournals.org/content/43/1/201.long","year":"2020","bibtex":"@article{RN233,\n author = {Vergoossen, L. W. and Schram, M. T. and de Jong, J. J. and Stehouwer, C. D. and Schaper, N. C. and Henry, R. M. and van der Kallen, C. J. and Dagnelie, P. C. and van Boxtel, M. P. and Eussen, S. J. and Backes, W. H. and Jansen, J. F.},\n title = {White Matter Connectivity Abnormalities in Prediabetes and Type 2 Diabetes: The Maastricht Study},\n journal = {Diabetes Care},\n volume = {43},\n number = {1},\n pages = {201-208},\n note = {Vergoossen, Laura W\nSchram, Miranda T\nde Jong, Joost J\nStehouwer, Coen D\nSchaper, Nicolaas C\nHenry, Ronald M\nvan der Kallen, Carla J\nDagnelie, Pieter C\nvan Boxtel, Martin P\nEussen, Simone J\nBackes, Walter H\nJansen, Jacobus F\neng\n2019/10/12 06:00\nDiabetes Care. 2020 Jan;43(1):201-208. doi: 10.2337/dc19-0762. Epub 2019 Oct 10.},\n abstract = {OBJECTIVE: Prediabetes and type 2 diabetes are associated with structural brain abnormalities, often observed in cognitive disorders. Besides visible lesions, (pre)diabetes might also be associated with alterations of the intrinsic organization of the white matter. In this population-based cohort study, the association of prediabetes and type 2 diabetes with white matter network organization was assessed. RESEARCH DESIGN AND METHODS: In the Maastricht Study, a type 2 diabetes-enriched population-based cohort study (1,361 subjects with normal glucose metabolism, 348 with prediabetes, and 510 with type 2 diabetes assessed by oral glucose tolerance test; 52% men; aged 59 +/- 8 years), 3 Tesla structural and diffusion MRI was performed. Whole-brain white matter tractography was used to assess the number of connections (node degree) between 94 brain regions and the topology (graph measures). Multivariable linear regression analyses were used to investigate the associations of glucose metabolism status with network measures. Associations were adjusted for age, sex, education, and cardiovascular risk factors. RESULTS: Prediabetes and type 2 diabetes were associated with lower node degree after full adjustment (standardized [st]betaPrediabetes = -0.055 [95% CI -0.172, 0.062], stbetaType2diabetes = -0.256 [-0.379, -0.133], P trend < 0.001). Prediabetes was associated with lower local efficiency (stbeta = -0.084 [95% CI -0.159, -0.008], P = 0.033) and lower clustering coefficient (stbeta = -0.097 [95% CI -0.189, -0.005], P = 0.049), whereas type 2 diabetes was not. Type 2 diabetes was associated with higher communicability (stbeta = 0.148 [95% CI 0.042, 0.253], P = 0.008). CONCLUSIONS: These findings indicate that prediabetes and type 2 diabetes are associated with fewer white matter connections and weaker organization of white matter networks. Type 2 diabetes was associated with higher communicability, which was not yet observed in prediabetes and may reflect the use of alternative white matter connections.},\n ISSN = {1935-5548 (Electronic)\n0149-5992 (Linking)},\n DOI = {10.2337/dc19-0762},\n url = {http://www.ncbi.nlm.nih.gov/pubmed/31601638\nhttps://care.diabetesjournals.org/content/43/1/201\nhttps://care.diabetesjournals.org/content/43/1/201.long},\n year = {2020},\n type = {Journal Article}\n}\n\n","author_short":["Vergoossen, L. W.","Schram, M. T.","de Jong, J. J.","Stehouwer, C. D.","Schaper, N. C.","Henry, R. M.","van der Kallen, C. J.","Dagnelie, P. C.","van Boxtel, M. P.","Eussen, S. J.","Backes, W. H.","Jansen, J. F."],"key":"RN233","id":"RN233","bibbaseid":"vergoossen-schram-dejong-stehouwer-schaper-henry-vanderkallen-dagnelie-etal-whitematterconnectivityabnormalitiesinprediabetesandtype2diabetesthemaastrichtstudy-2020","role":"author","urls":{"Paper":"http://www.ncbi.nlm.nih.gov/pubmed/31601638 https://care.diabetesjournals.org/content/43/1/201 https://care.diabetesjournals.org/content/43/1/201.long"},"metadata":{"authorlinks":{"jansen, j":"https://www.jansenjfa.com/publications/"}},"downloads":1,"html":""},"bibtype":"article","biburl":"https://raw.githubusercontent.com/jansenjfa1/bibbase.github.io/master/jansenjfa.bib","creationDate":"2020-03-04T09:26:16.420Z","downloads":1,"keywords":[],"search_terms":["white","matter","connectivity","abnormalities","prediabetes","type","diabetes","maastricht","study","vergoossen","schram","de jong","stehouwer","schaper","henry","van der kallen","dagnelie","van boxtel","eussen","backes","jansen"],"title":"White Matter Connectivity Abnormalities in Prediabetes and Type 2 Diabetes: The Maastricht Study","year":2020,"dataSources":["NcYBKGxxHQiyceke2","TCkfRWJAZvbLAZi29"]}