BrainMap software is written as cross-platform Java applications available for Macintosh, PCs and UNIX operating systems.
- Scribe: encode publications for submission to one of our databases
- Sleuth: search our databases to create datasets
- GingerALE: perform meta-analyses
In addition to the official, released versions of our software, we also have an "unofficial builds" page which has the most recent updates to our applications, including algorithm changes or bug fixes.
BrainMap distributes several other tools, including some additional software:
- Mango, a powerful, flexible image processing application
- Talairach Client, a batch coordinate labeling tool
Scribe encodes the experimental design and results of neuroimaging publications for inclusion into our databases.
- Our taxonomy documentation describes the types of papers accepted into our databases
- Available for download at brainmap.org/scribe
- Several training videos cover individual sections of Scribe
- Both a comprehensive full Users Manual which covers functional and structural coding, and a briefer Sparse Users Manual for quicker entry into the functional database
- Scribe Forum for questions on coding papers or getting help with using the application
- Coded publications should be sent to firstname.lastname@example.org using the Subject: "New BrainMap Submission - Please Review"
Sleuth searches the BrainMap databases, creates "workspace" data sets, plots and export the subjects and locations for meta-analysis.
- Download available at brainmap.org/sleuth
- Using Sleuth requires registering for an account first
- Training Video is a quick (five minute) overview of using the app
- Sleuth User Manual gives a written overview of searching, downloading, exporting and other options
- More information on the database structure and available search options can be found in the BrainMap Taxonomy
- The Sleuth Forum is great for any questions not covered by the above resources or to check for server issues
(unfortunately forum account is separate from Sleuth account)
GingerALE performs meta-analyses via the activation likelihood estimation (ALE) method. It also includes the transforms for icbm2tal conversions.
- Available for download at brainmap.org/ale
- For an in-detail description of the algorithms, input and output data, and interesting uses - like Meta-Analytic Connectivity Mapping (MACM), see the GingerALE User Manual
- If you have trouble using GingerALE, or have questions about settings and thresholds or about meta-analysis in general, the GingerALE Forum is a good place to get help