BrainMap

Human brain mapping is an experimental discipline that establishes structure-function correspondences in the brain through the combined application of experimental psychology, human neuroscience, and noninvasive neuroimaging. A deep and diverse literature on the functional organization of the human brain is emerging, which has pushed neuroimaging squarely into the scientific mainstream. Because of this rapid growth, there is a great need to effectively collect and synthesize the body of literature in this field. The BrainMap database was created in response to this need as an electronic environment for modeling the human brain through quantitative meta-analysis of the brain mapping literature. BrainMap was originally conceived in 1987 and has received continuous funding from 1988 to 2004. During this time, BrainMap has consistently evolved to meet the challenges of an ever-changing field and continues to strive toward higher levels of applicability. In this article, we discuss BrainMap's structure and utility, and relate its progress and development as a neuroinformatics tool.

[1]  J L Lancaster,et al.  Functional volumes modeling: Theory and preliminary assessment , 1997, Human brain mapping.

[2]  J B Woodward,et al.  The Functional Magnetic Resonance Imaging Data Center (fMRIDC): the challenges and rewards of large-scale databasing of neuroimaging studies. , 2001, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[3]  P. Fox,et al.  Mapping context and content: the BrainMap model , 2002, Nature Reviews Neuroscience.

[4]  Karl J. Friston,et al.  Statistical parametric mapping , 2013 .

[5]  Sandy Pittendrigh,et al.  Neurosys - A semistructured laboratory database , 2003, Neuroinformatics.

[6]  R W Cox,et al.  AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.

[7]  M. Torrens Co-Planar Stereotaxic Atlas of the Human Brain—3-Dimensional Proportional System: An Approach to Cerebral Imaging, J. Talairach, P. Tournoux. Georg Thieme Verlag, New York (1988), 122 pp., 130 figs. DM 268 , 1990 .

[8]  J L Lancaster,et al.  Automated Talairach Atlas labels for functional brain mapping , 2000, Human brain mapping.

[9]  Anders M. Dale,et al.  Towards effective and rewarding data sharing , 2003, Neuroinformatics.

[10]  D. V. von Cramon,et al.  The meta-analysis of functional imaging data using replicator dynamics , 2005 .

[11]  Lars Kai Hansen,et al.  Modeling of activation data in the BrainMap™ database: Detection of outliers , 2002, Human brain mapping.

[12]  Guinevere F. Eden,et al.  Meta-Analysis of the Functional Neuroanatomy of Single-Word Reading: Method and Validation , 2002, NeuroImage.

[13]  J. Xiong,et al.  Intersubject Variability in Cortical Activations during a Complex Language Task , 2000, NeuroImage.

[15]  L. Parsons,et al.  Location-Probability Profiles for the Mouth Region of Human Primary Motor–Sensory Cortex: Model and Validation , 2001, NeuroImage.