We have previously shown the potential efficacy of a magnetic resonance fingerprinting (MRF) residual approach for human cerebral cortex parcellation. However, the classical Bloch equations, commonly used for MR signal simulation in the MRF dictionary, may not accurately describe the complex effect of the ensemble of microarchitectonic components of the gray matter tissue on MRF signal. This work benefitted from the more flexibility of the extended time-fractional order Bloch equations to improve MRF dictionary fitting accuracy. We demonstrated that the time-fractional order parameter α potentially associates with the effect of interareal architectonic variability, hypothetically leading to more accurate cortical parcellation.
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