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To test the sensitivity of whole-brain T1 relaxometry to the evolution of pathological changes in multiple sclerosis (MS).T1-weighted hypointense lesion load in the brains of patients with MS is associated with axonal loss. Other work has shown that T1 measurements may provide information complementary to existing imaging techniques, such as magnetization transfer imaging.The authors studied 14 MS patients twice over a median time interval of 19.5 months (range, 14-22 months). Structural images and whole-brain T1 maps using a novel rapid-scanning technique (3 min/study) were performed at 3 T. Analysis focused on defining changes separately in the lesional and normal-appearing white matter (NAWM) and in the cortical gray matter.At baseline, there was an inverse relationship between disease duration and the NAWM T1 histogram peak height (r = -0.75, P = .03). The total white matter T1 histogram peak height decreased over time (P < .001). This could be accounted for by changes in the NAWM (P < .03). There also was a decrease (6%) in the mean (11 of 14 patients, P = .004) and in the median (7%) (13 of 14 patients, P < .001) neocortical gray matter T1 over the follow-up period.Brain T1 maps can be generated quickly and are sensitive to pathological changes over time. T1 values in both the gray and the white matter at the baseline visit were related to disease duration, suggesting that the T1 changes are clinically relevant. Although the absolute values will be different, it is likely that similar changes will be able to be detected at 1.5 T. The role of T1 measurement as a magnetic resonance imaging outcome measure in clinical trials now should be explored.

Original publication




Journal article


Journal of neuroimaging : official journal of the American Society of Neuroimaging

Publication Date





234 - 239


Centre for Functional Magnetic Resonance Imaging of the Brain, John Radcliffe Hospital, Headington, Oxford, United Kingdom.


Brain, Cerebral Cortex, Humans, Multiple Sclerosis, Magnetic Resonance Imaging, Analysis of Variance, Sensitivity and Specificity, Time Factors, Adult, Middle Aged, Female, Male