Neuroscientists are faced with a torrent of experimental data about the structure and function of the brain in health and disease. Much of this information pertains to the cerebral cortex and cerebellar cortex, the dominant structures of the human brain. These are challenging to study because they are highly convoluted sheet-like structures and are highly variable from one individual to the next. We propose a set of major enhancements to our existing set of neuroinformatics software tools for visualization, analysis, and data mining that facilitate studies of cerebral and cerebellar cortex. Key components of this resource include (i) surface- based atlases in humans and nonhuman primates that capture the shape of cortical convolutions and represent population averages as well as individual variability;(ii) a database of neuroimaging data (SumsDB) coupled to an online visualization tool (WebCaret);and (iii) a brain-mapping software application (Caret) that provides numerous analysis and visualization capabilities. Our atlasing efforts will concentrate on human cerebral cortex, which contains a complex but poorly understood mosaic of distinct areas (100-200 in total). We will generate a 'library'of cortical areas in SumsDB representing many different published maps of cortical areas, identified using a variety of methods and all registered to a common atlas framework. This library will serve as a valuable and easily accessible reference collection for neuroscientists studying functional localization. We will also generate libraries of published experimental data related to cortical function and structure in normal individuals and in a variety of disease conditions. These libraries will facilitate cross-study comparisons that reveal consistent functional characteristics of each cortical area and functional differences between nearby areas. We will compare the functional organization of human cerebral cortex to that in the chimpanzee and macaque monkey. This will provide insights as to which cortical areas have a common evolutionary origin in each species, which areas have expanded in size in the human lineage, and whether there are cortical areas present in humans that are altogether absent in other primate species. Finally, we will implement several major enhancements in Caret software. This will include methods for more efficient and sensitive characterization of normal structure and function and of cortical abnormalities in disease conditions. Successful execution of these aims will provide neuroscientists with a powerful and flexible set of tools for analyzing, visualizing, sharing, and accessing a broad range of experimental data, thereby accelerating efforts to better understand, diagnose, and treat many brain disorders.

Public Health Relevance

This project will provide improved brain mapping methods for characterizing structural and functional abnormalities of the brain in a variety of neurological and psychiatric disorders. It will also provide a neuroimaging database and powerful data mining methods that facilitate access to enormous amounts of information about brain structure and function in health and disease.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH060974-20
Application #
8600969
Study Section
Neurotechnology Study Section (NT)
Program Officer
Freund, Michelle
Project Start
1999-09-30
Project End
2014-12-31
Budget Start
2014-01-01
Budget End
2014-12-31
Support Year
20
Fiscal Year
2014
Total Cost
$537,800
Indirect Cost
$183,984
Name
Washington University
Department
Neurosciences
Type
Schools of Medicine
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Dierker, Donna L; Feczko, Eric; Pruett Jr, John R et al. (2015) Analysis of cortical shape in children with simplex autism. Cereb Cortex 25:1042-51
Abdollahi, Rouhollah O; Kolster, Hauke; Glasser, Matthew F et al. (2014) Correspondences between retinotopic areas and myelin maps in human visual cortex. Neuroimage 99:509-24
Markov, N T; Ercsey-Ravasz, M M; Ribeiro Gomes, A R et al. (2014) A weighted and directed interareal connectivity matrix for macaque cerebral cortex. Cereb Cortex 24:17-36
Van Essen, David C; Glasser, Matthew F (2014) In vivo architectonics: a cortico-centric perspective. Neuroimage 93 Pt 2:157-64
Glasser, Matthew F; Goyal, Manu S; Preuss, Todd M et al. (2014) Trends and properties of human cerebral cortex: correlations with cortical myelin content. Neuroimage 93 Pt 2:165-75
Ercsey-Ravasz, Maria; Markov, Nikola T; Lamy, Camille et al. (2013) A predictive network model of cerebral cortical connectivity based on a distance rule. Neuron 80:184-97
Markov, Nikola T; Ercsey-Ravasz, Maria; Lamy, Camille et al. (2013) The role of long-range connections on the specificity of the macaque interareal cortical network. Proc Natl Acad Sci U S A 110:5187-92
Markov, Nikola T; Ercsey-Ravasz, Maria; Van Essen, David C et al. (2013) Cortical high-density counterstream architectures. Science 342:1238406
Van Essen, David C (2013) Cartography and connectomes. Neuron 80:775-90
Glasser, Matthew F; Sotiropoulos, Stamatios N; Wilson, J Anthony et al. (2013) The minimal preprocessing pipelines for the Human Connectome Project. Neuroimage 80:105-24

Showing the most recent 10 out of 42 publications