{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Haast RAM"],"funding":["Technology Foundation STW","Join4Energy","Dutch Research Council (NWO)","Ride4Kids","NeMo","Maastricht University, the Netherlands Organization for Scientific Research"],"pagination":["231-244"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5984598"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["18"],"pubmed_abstract":["One of the most common mitochondrial DNA (mtDNA) mutations, the A to G transition at base pair 3243, has been linked to changes in the brain, in addition to commonly observed hearing problems, diabetes and myopathy. However, a detailed quantitative description of m.3243A>G patients' brains has not been provided so far. In this study, ultra-high field MRI at 7T and volume- and surface-based data analyses approaches were used to highlight morphology (i.e. atrophy)-, microstructure (i.e. myelin and iron concentration)- and metabolism (i.e. cerebral blood flow)-related differences between patients (N = 22) and healthy controls (N = 15). The use of quantitative MRI at 7T allowed us to detect subtle changes of biophysical processes in the brain with high accuracy and sensitivity, in addition to "],"journal":["NeuroImage. Clinical"],"pubmed_title":["Anatomic & metabolic brain markers of the m.3243A>G mutation: A multi-parametric 7T MRI study."],"pmcid":["PMC5984598"],"funding_grant_id":["12724","452-11-002"],"pubmed_authors":["Smeets HJM","Sallevelt SCEH","Jansen JFA","Ivanov D","de Coo IFM","Formisano E","Haast RAM","Uludag K","IJsselstein RJT"],"additional_accession":[]},"is_claimable":false,"name":"Anatomic & metabolic brain markers of the m.3243A>G mutation: A multi-parametric 7T MRI study.","description":"One of the most common mitochondrial DNA (mtDNA) mutations, the A to G transition at base pair 3243, has been linked to changes in the brain, in addition to commonly observed hearing problems, diabetes and myopathy. However, a detailed quantitative description of m.3243A>G patients' brains has not been provided so far. In this study, ultra-high field MRI at 7T and volume- and surface-based data analyses approaches were used to highlight morphology (i.e. atrophy)-, microstructure (i.e. myelin and iron concentration)- and metabolism (i.e. cerebral blood flow)-related differences between patients (N = 22) and healthy controls (N = 15). The use of quantitative MRI at 7T allowed us to detect subtle changes of biophysical processes in the brain with high accuracy and sensitivity, in addition to ","dates":{"release":"2018-01-01T00:00:00Z","publication":"2018","modification":"2025-04-25T19:48:44.933Z","creation":"2019-03-26T23:40:40Z"},"accession":"S-EPMC5984598","cross_references":{"pubmed":["29868447"],"doi":["10.1016/j.nicl.2018.01.017"]}}