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PI: Arthur W. Toga. LONIR. Neuroimaging Genetics Studies.
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PI: Arthur W. Toga LONIR Neuroimaging Genetics Studies The Laboratory of Neuro Imaging Resource (LONIR) aims to improve our understanding of brain structure, function and physiology in health and disease. LONIR develops, validates and disseminates comprehensive quantitative protocols for analyzing imaging, genetic and phenotypic data. Genomics data analysis protocol processing large number of sequence data outputted by the Illumina sequencing pipeline. This protocol includes the following types of computational resources: Mapping and Assembly with Qualities (MAQ); Sequence Alignment and Mapping tools (SAMtools), Bowtie, etc. Illumina Sequencing Pipeline Laboratory of Neuro Imaging Resource Technology Research & Development Projects Workflow Navigator TR&D 1- Image Understanding Aim 1: Quality Assurance and Validation Aim 2: Structural Image Segmentation & Registration Aim 3: Diffusion Data Local and Global Shape Analysis Pipeline Workflows Flower Tree Workflow Miner Translational Studies TR&D 2 - Connectomics Cortical thickness decreases in first episode schizophrenia. Reductions in first-episode (FE) schizophrenia vs healthy controls covarying for sex. Note patchy tertiary cortical distribution of significant thickness deficits would never be detected using conventional ROI-based morphometry. Aim 1: Assessing Fiber Integrity and Connectivity Aim 2: Tract Clustering Aim 3: Connectivity Mapping Aim 4: Genetics of Brain Connectivity Tools / Services TR&D 3 - Data Interpretation Pipeline http://pipeline.loni.ucla.edu http://pipeline.loni.ucla.edu/PWS Publications http://www.loni.ucla.edu/Research/Publications Aim 1: Statistical Modeling Aim 2: Tool Utilization Aim 3: Scientific Visualization Data http://ida.loni.ucla.edu Software http://loni.ucla.edu/Software Atlases http://www.loni.ucla.edu/Atlases www.loni.ucla.edu/LONIR NIH/NIBIB (P41-EB015922 / P41-RR013642)