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Software/Tests

DISCLAIMER: PLEASE, NOTE, THAT NO WARRANTY OF ANY KIND IS EXPRESSED OR IMPLIED. YOU USE AT YOUR OWN RISK. NEITHER THE AUTHOR OR CENTER FOR THE STUDY OF LEARNING WILL NOT BE LIABLE FOR DATA LOSS, DAMAGES, LOSS OF PROFITS OR ANY OTHER KIND OF LOSS WHILE USING OR MISUSING THIS SOFTWARE.

Meta Analysis

Download software to perform Activation Likelihood Estimate (ALE) meta-analyses
Linux version
Windows version

Please reference the following paper and acknowledge the CSL when publishing results using this software. This software is for research use only

This software provides an automated method for quantitatively determining concordance among findings from neuroimaging studies. The software models localization probability distributions for activation foci reported in neuroimaging studies. These distributions are combined to provide a statistical map of the likelihood of activation occurring at each location in the brain. The significance of these "activation likelihood estimates" is determined by permutation analysis using sets of random foci. For details, see:
Turkeltaub P., Eden G., Jones K., Zeffiro T., (2002) Meta-analysis of the functional neuroanatomy of single-word reading: method and validation. Neuroimage 16(3 Pt 1): p. 765-780.

In Linux,
Download the tar file from the link above. To unarchive the distribution, type:
gunzip meta_analysis.tgz
tar xvf meta_analysis.tar
Read the README.txt file for instructions on compiling and running the software.

In Windows,
Unzip the distribution using Winzip. In principle, the software should be compatible with Windows-based C compilers (perhaps with a few modifications).

Brainmap

BrainMap is an online database of published functional neuroimaging (fMRI and PET) experiments with coordinate-based (x,y,z) activation locations in Talairach space. The goal of BrainMap is to provide a vehicle to share methods and results of studies in specific research domains, such as language, memory, attention, emotion, and perception. BrainMap can also be used to perform meta-analyses of similar research studies.

Phoneme Detection Tests

Some of our studies employ a Phoneme Detection Tests developed for the purpose of measuring phoneme awareness in participants who are deaf or hard of hearing (Koo et al., 2008). The Phoneme Detection Test (PDT) measures phonemic awareness via detection of the presence of a single phoneme in individual, visually presented words. Nonverbal stimuli and response modality ensure that this test can be administered to subjects using different communication modes.

The PDT includes 150 high-frequency words with multiple or opaque orthography-to-phonology correspondences (e.g., "c" maps to /s/ and /k/ phonemes such as "cent" and "call"), divided into five target-phoneme sets of 30 items each: /s/, /g/, /j/, and /k/ (/k/ repeated for "ch" and "c" sets). Half the items contained target phonemes appearing in initial, medial, or word-final positions and the other half served as orthographic foils in which an alternate grapheme-to-phoneme correspondence was used. Subjects are instructed to respond as quickly and accurately as possible with keyboard buttons indicating "Yes" or "No" if an item contained the target phoneme. Explicit instructions and examples are given at the beginning of the test to ensure that subjects understood that the task was not to detect orthographic units, but phonemic units. In addition, each set is preceded by a four-item practice session.

The PDT administered using the software Presentation (version 0.81). The CSL developed PDT in Presentation can be downloaded at the following link:

Download of presentation file of PDT

We request that publications using this test cite Koo et al., 2008 and acknowledge the use of this test. The PDT was developed with support form NICHD, NIDCD and NSF.


Questions? Comments? Please, contact ale@csl.georgetown.edu

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