Brain sugar consumption during neuronal activation detected by CEST functional MRI at ultra-high magnetic fields

Tangi Roussel (1, 2) , Lucio Frydman (3) , Denis Le Bihan (2, 1) , Luisa Ciobanu (1, 2)

1 NEUROSPIN - Service NEUROSPIN
2 UNIRS - Unité d'imagerie par résonance magnétique à très haut champ et de spectroscopie
3 Weizmann Institute of Science [Rehovot, Israël]

Blood oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI) indirectly measures brain activity based on neurovascular coupling, a reporter that limits both the spatial and temporal resolution of the technique as well as the cellular and metabolic specifcity. Emerging methods using functional spectroscopy (fMRS) and difusion-weighted fMRI suggest that metabolic and structural modifcations are also taking place in the activated cells. This paper explores an alternative metabolic imaging approach based on Chemical Exchange Saturation Transfer (CEST) to assess potential metabolic changes induced by neuronal stimulation in rat brains at 17.2T. An optimized CESTfMRI data acquisition and processing protocol was developed and used to experimentally assess the feasibility of glucoCEST-based fMRI. Images acquired under glucose-sensitizing conditions showed a substantial negative contrast that highlighted the same brain regions as those activated with BOLDfMRI. We ascribe this novel fMRI contrast to CEST’s ability to monitor changes in the local concentration of glucose, a metabolite closely coupled to neuronal activity. Our fndings are in good agreement with literature employing other modalities. The use of CEST-based techniques for fMRI is not limited to glucose detection; other metabolic pathways involved in neuronal activation could be potentially probed. Moreover, being non invasive, it is conceivable that the same approach can be used for human studies

Domaines: Sciences du Vivant [q-bio]

Tangi Roussel, Lucio Frydman, Denis Le Bihan, Luisa Ciobanu. Brain sugar consumption during neuronal activation detected by CEST functional MRI at ultra-high magnetic fields. Scientific Reports, 2019, 9 (1), pp.4423. ⟨10.1038/s41598-019-40986-9⟩. ⟨cea-02076839⟩