Faculty Bibliography

The neurotrophins-nerve growth factor (NGF), brain-derived neurotrophic factor (BDNF), NT-3 and NT-4-represent a family of proteins essential for neuronal survival and plasticity. Each neurotrophin can signal through two different transmembrane receptors, Trk receptor tyrosine kinases and the p75 neurotrophin receptor, the first member of the TNF receptor superfamily. Neurotrophic factors play an important role in neurodegenerative diseases, as well as neuropsychiatric disorders such as depression, bipolar disease and eating disorders. Indeed, a number of approaches have been taken to use neurotrophins to treat Alzheimer's dementia, amyotrophic lateral sclerosis and peripheral sensory neuropathy. However, many of these clinical trails have failed, due to problems in delivery and unforeseen side effects of neurotrophic factors. An alternative approach is to use ligands in the G protein-coupled receptor (GPCR) family to transactivate trophic activities. We have discovered that treatment with adenosine, a neuromodulator that acts through G protein-coupled receptors, is capable of activating Trk tyrosine kinase receptors. Transactivation of neurotrophic receptors by GPCR ligands raise the possibility that small molecules may be used to elicit neurotrophic effects for the treatment of neurodegenerative diseases. This approach would allow for selective targeting of neurons that express specific G protein-coupled receptors and trophic factor receptors. GPCRs transduce information provided by extracellular signals to modulate synaptic activity and neurotransmission. In addition to the classical G protein signalling, GPCR ligands also activate receptor tyrosine kinases (RTK), including neurotrophin receptors. Activation of Trk neurotrophin receptors can occur by GPCR ligands in the absence of neurotrophins. Adenosine and PACAP (pituitary adenylate cyclase activating polypeptide) induce Trk activation specifically through their respective GPCRs to promote cell survival. Transactivation of Trks by GPCRs has emerged as a new theme in the biology of neurotrophin function. Although the precise role of transactivation is unknown, one possibility is that it adds a safety factor that might protect neurons from death in the absence of neurotrophins. Abnormal activity of the neurotrophin system has been implicated in several psychiatric and neurobiological illnesses. However, the lack of knowledge about the precise site of neurotrophin dysfunction has compromised the ability to improve the efficacy and the safety of drugs used in treatment modalities. If small-molecule GPCR ligands can ameliorate neuronal cell loss through Trk, transactivation may offer a new strategy for promoting trophic effects during neurodegeneration

In this paper we present a robust method for segmenting and tracking cardiac contours and tags in 4D cardiac MRI tagged images via spatio-temporal propagation. Our method is based on two main techniques: the Metamorphs segmentation for robust boundary estimation, and the tunable Gabor filter bank for tagging lines enhancement, removal and myocardium tracking. We have developed a prototype system based on the integration of these two techniques, and achieved efficient, robust segmentation and tracking with minimal human interaction

In this paper, we describe a new approach for reconstructing 3D strains in the myocardium using tagged MR images. We first segment the myocardium using a 3D deformable model driven by image gradients and Gabor filter responses. Tags are automatically detected and tracked as deformable thin plates during systole and early diastole. To keep the tracking results more stable and consistent, we use a combination of gradient information, an intensity probabilistic model, the phase information, and a temporal-spatial smoothness constraint. Based on the tag deformation, we compute a dense displacement in the myocardium around both ventricles. The displacements in x-, y-, and z- directions are calculated separately and are combined to form the final displacement maps. We do not use the information outside the segmented surface of the myocardium to avoid displacement errors caused by noises, artifacts, and correlations between different regions in the myocardium. The strain in the myocardium during the heart cycle is derived from the displacement. This method accepts images of either a tag grid or separate horizontal and vertical tag lines as its input. Experimental results on phantom and real data demonstrate good performance of this method in calculating the myocardial strain