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. However, these conventional methods often have limitations, such as being time-consuming and sensitive to user input, which can lead to inconsistent results; this highlights the need for a more robust and efficient approach like deep learning. Using the relative cerebral blood volume (rCBV) and relative cerebral blood flow (rCBF) perfusion maps generated by FDA-approved software, we trained a multistage deep learning model. The model, featuring a combination of a 1D convolutional neural network (CNN) and a 2D U-Net encoder-decoder network, processes each 4D MRP dataset by integrating temporal and spatial features of the brain for voxel-wise perfusion parameters prediction. An auxiliary model, with similar architecture, but trained with truncated datasets that had fewer time-points, was designed to explore the contribution of temporal features. Both qualitatively and quantitatively evaluated, deep learning-generated rCBV and rCBF maps showcased effective integration of temporal and spatial data, producing comprehensive predictions for the entire brain volume. Our deep learning model provides a robust and efficient approach for calculating perfusion parameters, demonstrating comparable performance to FDA-approved commercial software, and potentially mitigating the challenges inherent to traditional techniques.

The GABAB receptor mediates neuroprotection by coupling to G13.

G protein­coupled receptors (GPCRs) activate various mitogen-activated protein kinase (MAPK) pathways to regulate critical cell functions. ß-Arrestins mediate this mechanism for most GPCRs but not the GABAB receptor (GABABR). When coupled to the G protein Gi/o, GABABR phosphorylates the kinases ERK1 and ERK2. Here, we uncovered a distinct ß-arrestin­independent mechanism of MAPK pathway activation by GABABR. We found that GABABR also phosphorylated the kinase JNK downstream of activation of the small guanosine triphosphatases (GTPases) RhoA and Rac1 in primary mouse neurons. However, instead of Gi/o proteins, activation of this RhoA/Rac1-JNK pathway was mediated by G13. This pathway promoted the phosphorylation and accumulation of the postsynaptic scaffolding protein PSD95 and GABABR-mediated neuroprotection in granule neurons. In addition, this pathway synergized with a previously reported GABABR-mediated neuroprotection mediated by a Gi/o-dependent mechanism. GABABR agonists activated G13 with slower kinetics and lower potency than with which they activated Gi/o. Our findings reveal distinct, ß-arrestin­independent, context-specific synergistic mechanisms of MAPK activation by G protein­mediated GPCR signaling.

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 GABAB receptor heterodimer as a model as it forms large complexes in the brain. It is subjected to genetic mutations mainly affecting transmembrane 6 (TM6) and involved in human diseases. By cross-linking, we identify the transmembrane interfaces involved in GABAB1-GABAB2, as well as GABAB1-GABAB1 interactions. Our data are consistent with an oligomer made of a row of GABAB1. We bring evidence that agonist activation induces a concerted rearrangement of the various interfaces. While the GB1-GB2 interface is proposed to involve TM5 in the inactive state, cross-linking of TM6s lead to constitutive activity. These data bring insight for our understanding of the allosteric interaction between GPCRs within oligomers.