RESUMO
Multimodal neuroimaging data of various brain disorders provides valuable information to understand brain function in health and disease. Various neuroimaging-based databases have been developed that mainly consist of volumetric magnetic resonance imaging (MRI) data. We present the comprehensive web-based neuroimaging platform "SWADESH" for hosting multi-disease, multimodal neuroimaging, and neuropsychological data along with analytical pipelines. This novel initiative includes neurochemical and magnetic susceptibility data for healthy and diseased conditions, acquired using MR spectroscopy (MRS) and quantitative susceptibility mapping (QSM) respectively. The SWADESH architecture also provides a neuroimaging database which includes MRI, MRS, functional MRI (fMRI), diffusion weighted imaging (DWI), QSM, neuropsychological data and associated data analysis pipelines. Our final objective is to provide a master database of major brain disease states (neurodegenerative, neuropsychiatric, neurodevelopmental, and others) and to identify characteristic features and biomarkers associated with such disorders.
RESUMO
The availability of neuroimaging-based databases is helping immensely to understand the brain function in healthy and diseased conditions. This viewpoint highlights the objectives, commonalities, and differences within these existing databases and pointers for researchers to choose a particular database. We introduce a multimodal multidisease database, SWADESH, and its comparison with the existing databases. A futuristic database blueprint is proposed for housing multidisease, multimodal, and longitudinal brain imaging data systematically organized in a matrix form along with neuropsychological assessment scores for the identification of causal disease processes. The information-rich databases will ultimately assist with the systematic identification of prime features linked to causal disease processes, leading to the design of appropriate clinical trials for successful therapeutic interventions.
Assuntos
Doença de Alzheimer , Encéfalo , Humanos , Encéfalo/diagnóstico por imagem , Neuroimagem/métodos , Imageamento por Ressonância MagnéticaRESUMO
Oxidative stress (OS) is a critical factor in the pathogenesis of Alzheimer's disease (AD). Elevated OS in AD lowers the level of glutathione (GSH), a brain antioxidant. Currently, GSH is under examination in the clinical population for understanding its association with oxidative load in AD research. Significant depletion in hippocampal GSH, as observed using in vivo magnetic resonance spectroscopy (MRS), reportedly correlates with cognitive impairment in AD. Alterations in cellular-energy metabolism and increased hippocampal pH have also been reported in AD. Hence, this combined molecular interplay between hippocampal GSH and pH must be studied longitudinally for advancing AD research. Herein, we propose a schematic model depicting the molecular events in AD pathogenesis and provide a possible link between OS, GSH depletion, and pH alterations in the hippocampus. The model would further potentiate the need for in vivo longitudinal studies to confirm the interlinked mechanism between OS, hippocampal GSH depletion, and pH increment in an AD patient brain.