Deep Learning for Perfusion Cerebral Blood Flow (CBF) and Volume (CBV) Predictions and Diagnostics.

Dynamic susceptibility contrast magnetic resonance perfusion (DSC-MRP) is a non-invasive imaging technique for hemodynamic measurements. Various perfusion parameters, such as cerebral blood volume (CBV) and cerebral blood flow (CBF), can be derived from DSC-MRP, hence this non-invasive imaging protocol is widely used clinically for the diagnosis and assessment of intracranial pathologies. Currently, most institutions use commercially available software to compute the perfusion parametric maps.

The GABA receptor mediates neuroprotection by coupling to G.

G protein–coupled receptors (GPCRs) activate various mitogen-activated protein kinase (MAPK) pathways to regulate critical cell functions. β-Arrestins mediate this mechanism for most GPCRs but not the GABA receptor (GABAR). When coupled to the G protein G, GABAR phosphorylates the kinases ERK1 and ERK2.

Rearrangement of the transmembrane domain interfaces associated with the activation of a GPCR hetero-oligomer.

G protein-coupled receptors (GPCRs) can integrate extracellular signals via allosteric interactions within dimers and higher-order oligomers. However, the structural bases of these interactions remain unclear. Here, we use the GABA receptor heterodimer as a model as it forms large complexes in the brain.