Following is a list of features of HomER.

(Or view a list of requested features.)

Signal Processing

HomER contains tools for filtering time-courses with band-pass filters. Principle component analysis can be applied for motion artifact correction and systemic fluctuation (physiology) removal.

HomER contains a number of tools for analyzing functional hemodynamic responses.  Both blocked design and event-related paradigms are supported, in addition to multiple condition (parametric) experimental designs. Responses are analyzed at the single experimental run and session level. Region-of-interest based analysis can be performed across subjects and sessions.

HomER offers a number of options for basic image reconstruction including back-projection and other regularized inversion techniques.  HomER uses the PMI toolbox (also available to download at http://nmr.mgh.harvard.edu/PMI) to generate forward models using semi-infinite (homogenous) slab geometries. Spectral priors can be used to reconstruct images of concentration [Li et al.  2005 Applied Optics 44(10)].

Region-of-interest analysis can also be carried out with HomER.  ROI averages can be calculated for individual subjects or group averages. Either effects or ANOVA statistics can be used to define regions of interest.  This can be done by source-detector channel or within the reconstructed images.

Other Features

- Linear regression allows for multiple condition/Event-related experimental designs.

- Independent regressors, such as auxiliary recording of blood pressure or cardiac can be included to remove systemic fluctuations

- ANOVA and Effects statistics can be displayed for each channel.

- Blocks of time-points or individual channels can be selected to be disregarded in analysis allowing for rejection of motion or other artifacts