@article{RN199,
   author = {van Bussel, F. C. G. and Backes, W. H. and Hofman, P. A. M. and van Oostenbrugge, R. J. and van Boxtel, M. P. J. and Verhey, F. R. J. and Steinbusch, H. W. M. and Schram, M. T. and Stehouwer, C. D. A. and Wildberger, J. E. and Jansen, J. F. A.},
   title = {Cerebral Pathology and Cognition in Diabetes: The Merits of Multiparametric Neuroimaging},
   journal = {Front Neurosci},
   volume = {11},
   pages = {188},
   note = {van Bussel, Frank C G
Backes, Walter H
Hofman, Paul A M
van Oostenbrugge, Robert J
van Boxtel, Martin P J
Verhey, Frans R J
Steinbusch, Harry W M
Schram, Miranda T
Stehouwer, Coen D A
Wildberger, Joachim E
Jansen, Jacobus F A
eng
Review
Switzerland
2017/04/21 06:00
Front Neurosci. 2017 Apr 5;11:188. doi: 10.3389/fnins.2017.00188. eCollection 2017.},
   abstract = {Type 2 diabetes mellitus is associated with accelerated cognitive decline and various cerebral abnormalities visible on MRI. The exact pathophysiological mechanisms underlying cognitive decline in diabetes still remain to be elucidated. In addition to conventional images, MRI offers a versatile set of novel contrasts, including blood perfusion, neuronal function, white matter microstructure, and metabolic function. These more-advanced multiparametric MRI contrasts and the pertaining parameters are able to reveal abnormalities in type 2 diabetes, which may be related to cognitive decline. To further elucidate the nature of the link between diabetes, cognitive decline, and brain abnormalities, and changes over time thereof, biomarkers are needed which can be provided by advanced MRI techniques. This review summarizes to what extent MRI, especially advanced multiparametric techniques, can elucidate the underlying neuronal substrate that reflects the cognitive decline in type 2 diabetes.},
   keywords = {cognition
functional MRI
magnetic resonance imaging
multiparametric MRI
type 2 diabetes mellitus},
   ISSN = {1662-4548 (Print)
1662-453X (Linking)},
   DOI = {10.3389/fnins.2017.00188},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/28424581
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5380729/pdf/fnins-11-00188.pdf},
   year = {2017},
   type = {Journal Article}
}

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A."],"year":2017,"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.","G."],"suffixes":[]},{"propositions":[],"lastnames":["Backes"],"firstnames":["W.","H."],"suffixes":[]},{"propositions":[],"lastnames":["Hofman"],"firstnames":["P.","A.","M."],"suffixes":[]},{"propositions":["van"],"lastnames":["Oostenbrugge"],"firstnames":["R.","J."],"suffixes":[]},{"propositions":["van"],"lastnames":["Boxtel"],"firstnames":["M.","P.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Verhey"],"firstnames":["F.","R.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Steinbusch"],"firstnames":["H.","W.","M."],"suffixes":[]},{"propositions":[],"lastnames":["Schram"],"firstnames":["M.","T."],"suffixes":[]},{"propositions":[],"lastnames":["Stehouwer"],"firstnames":["C.","D.","A."],"suffixes":[]},{"propositions":[],"lastnames":["Wildberger"],"firstnames":["J.","E."],"suffixes":[]},{"propositions":[],"lastnames":["Jansen"],"firstnames":["J.","F.","A."],"suffixes":[]}],"title":"Cerebral Pathology and Cognition in Diabetes: The Merits of Multiparametric Neuroimaging","journal":"Front Neurosci","volume":"11","pages":"188","note":"van Bussel, Frank C G Backes, Walter H Hofman, Paul A M van Oostenbrugge, Robert J van Boxtel, Martin P J Verhey, Frans R J Steinbusch, Harry W M Schram, Miranda T Stehouwer, Coen D A Wildberger, Joachim E Jansen, Jacobus F A eng Review Switzerland 2017/04/21 06:00 Front Neurosci. 2017 Apr 5;11:188. doi: 10.3389/fnins.2017.00188. eCollection 2017.","abstract":"Type 2 diabetes mellitus is associated with accelerated cognitive decline and various cerebral abnormalities visible on MRI. The exact pathophysiological mechanisms underlying cognitive decline in diabetes still remain to be elucidated. In addition to conventional images, MRI offers a versatile set of novel contrasts, including blood perfusion, neuronal function, white matter microstructure, and metabolic function. These more-advanced multiparametric MRI contrasts and the pertaining parameters are able to reveal abnormalities in type 2 diabetes, which may be related to cognitive decline. To further elucidate the nature of the link between diabetes, cognitive decline, and brain abnormalities, and changes over time thereof, biomarkers are needed which can be provided by advanced MRI techniques. This review summarizes to what extent MRI, especially advanced multiparametric techniques, can elucidate the underlying neuronal substrate that reflects the cognitive decline in type 2 diabetes.","keywords":"cognition functional MRI magnetic resonance imaging multiparametric MRI type 2 diabetes mellitus","issn":"1662-4548 (Print) 1662-453X (Linking)","doi":"10.3389/fnins.2017.00188","url":"http://www.ncbi.nlm.nih.gov/pubmed/28424581 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5380729/pdf/fnins-11-00188.pdf","year":"2017","bibtex":"@article{RN199,\n author = {van Bussel, F. C. G. and Backes, W. H. and Hofman, P. A. M. and van Oostenbrugge, R. J. and van Boxtel, M. P. J. and Verhey, F. R. J. and Steinbusch, H. W. M. and Schram, M. T. and Stehouwer, C. D. A. and Wildberger, J. E. and Jansen, J. F. A.},\n title = {Cerebral Pathology and Cognition in Diabetes: The Merits of Multiparametric Neuroimaging},\n journal = {Front Neurosci},\n volume = {11},\n pages = {188},\n note = {van Bussel, Frank C G\nBackes, Walter H\nHofman, Paul A M\nvan Oostenbrugge, Robert J\nvan Boxtel, Martin P J\nVerhey, Frans R J\nSteinbusch, Harry W M\nSchram, Miranda T\nStehouwer, Coen D A\nWildberger, Joachim E\nJansen, Jacobus F A\neng\nReview\nSwitzerland\n2017/04/21 06:00\nFront Neurosci. 2017 Apr 5;11:188. doi: 10.3389/fnins.2017.00188. eCollection 2017.},\n abstract = {Type 2 diabetes mellitus is associated with accelerated cognitive decline and various cerebral abnormalities visible on MRI. The exact pathophysiological mechanisms underlying cognitive decline in diabetes still remain to be elucidated. In addition to conventional images, MRI offers a versatile set of novel contrasts, including blood perfusion, neuronal function, white matter microstructure, and metabolic function. These more-advanced multiparametric MRI contrasts and the pertaining parameters are able to reveal abnormalities in type 2 diabetes, which may be related to cognitive decline. To further elucidate the nature of the link between diabetes, cognitive decline, and brain abnormalities, and changes over time thereof, biomarkers are needed which can be provided by advanced MRI techniques. This review summarizes to what extent MRI, especially advanced multiparametric techniques, can elucidate the underlying neuronal substrate that reflects the cognitive decline in type 2 diabetes.},\n keywords = {cognition\nfunctional MRI\nmagnetic resonance imaging\nmultiparametric MRI\ntype 2 diabetes mellitus},\n ISSN = {1662-4548 (Print)\n1662-453X (Linking)},\n DOI = {10.3389/fnins.2017.00188},\n url = {http://www.ncbi.nlm.nih.gov/pubmed/28424581\nhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5380729/pdf/fnins-11-00188.pdf},\n year = {2017},\n type = {Journal Article}\n}\n\n","author_short":["van Bussel, F. C. G.","Backes, W. H.","Hofman, P. A. M.","van Oostenbrugge, R. J.","van Boxtel, M. P. J.","Verhey, F. R. J.","Steinbusch, H. W. M.","Schram, M. T.","Stehouwer, C. D. A.","Wildberger, J. E.","Jansen, J. F. 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