INC RESOURCES
Welcome to the INC Resources page. Here you will find access to the many resources we have available to you, from Publication lists to Web-based demonstrations. See below for links to various concentrations of resources.
- Software Downloads
- ParcelMan, McStrip, NPAIRS, Lyngby Toolkit, more...
- Web-Based Demonstrations
- Corner Cube Environment on the Web, Flat Mapping Demonstrations, more...
- Web-Based Services
- Interactive Talairach Atlas, Brain Extraction Evaluation Web-service, more...
- Image Galleries
- Search images from INC projects, more...
- Publications
- Search INC publications, more...
A note from the director about the need for tools:
Sophisticated "toolkits" and "black boxes" for pre-processing and analyzing MRI and fMRI data sets began to appear in the mid 1990's. These "pipelines" typically included algorithms for stripping the skull and meninges from underlying brain tissue; segmenting brain tissue into gray matter, white matter, and CSF; removing magnetic field nonuniformity from structural MRI image volumes; intrasubject alignment of hundreds (sometimes thousands) of fMRI brain volumes; intrasubject alignment of structural and functional brain volumes acquired with different pulse sequences, intersubject alignment of structural and functional MRI brain volumes, transformation of these brain volumes into a "standard" 3D stereotactic space, and the performance of complex mathematical and statistical operations on functional data in order to determine the magnitude, significance, and spatial and temporal relationships of increases in BOLD signal associated with motor, sensory or cognitive tasks. In the absence of comparative studies of algorithms and tooklkits and quantitative measures of reliability and reproducibility, and lacking the multi-disciplinary knowledge required to evaluate the tools used to process and analyze their data, it is not possible for individual neuroscientists, (be they cognitive psychologists, neuropharmacologists, psychiatrists, neurologists, neurosurgeons, etc.) to select the "best" tools for processing and analyzing their data and for avoiding serious pitfalls and large potential sources of error. Recognition of these problems led to a recent feature article in Science (Olson, S. 2005. Volume 307, pg. 1550) which raised legitimate questions about the validity of many published fMRI studies. Through the software tools, web-based demonstrations and services provided here, INC investigators aim to address these issues of validity and reproducibility of fMRI studies.