The mildly invasive 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) is a well-established imaging technique to measure resting state cerebral metabolism [1]. This technique made it possible to assess changes in metabolic activity in clinical applications, such as the study of severe brain injury, disorders of consciousness and different brain pathological conditions. FDG-PET is widely employed in developed economies. However, in less developed economies, as in Latin-America, the spreading of this approach is limited. The main reason is the high cost of these technologies, which commonly prevents the installation of cyclotron facilities in the proximity of the hospitals to produce the FDG radionuclides needed for the PET scanning. In addition, the tracer preparation cost that is also high compared to alternative neuroimaging technologies, such as Magnetic Resonance Imaging (MRI). These two limitations have resulted in a very low penetration of the FDG-PET technology in developing countries. Previously, our group assessed the possibility of creating functional MRI activity maps comparable to FDG-PET cerebral metabolism maps. These maps are of clinical interest, especially in centers without access to FDG-PET. This approach also overcomes the requirement of specialized expert knowledge required for the analysis of this resting state fMRI data. This approach resulted in significant levels of similarity between FDG-PET and the fMRI based maps. These findings point towards the possibility of using fMRI resting state to estimate metabolic activity, as a potential alternative for brain activity study in developing countries. Unfortunately, this work has the major limitation that was developed for 3 Tesla magnetic resonators. An expensive technology with very low penetration in developed countries. In this project, we propose to develop a novel computational method to generate similar FDG-PET cerebral metabolic maps out of brain activity measurements using functional magnetic resonance imaging (fMRI) at low magnetic field (1.5 Tesla), a more widely used technology, already available in low income countries. This work will potentially provide a new simplified brain activity analysis framework suitable to be used by the neurology and neuroradiology communities to study local brain pathological conditions, by taking advantage of already installed technological capacities of developing countries.