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Analyzing functional Magnetic Resonance Imaging (fMRI) data involves a series of sequential operations in ⁠BrainVoyager, a flagship neuroimaging package optimized for fast 2D and 3D data processing. The standard workflow transforms raw scanner files into clean statistical maps superimposed over a participant’s anatomical structure.

The standard step-by-step pipeline for evaluating fMRI datasets using BrainVoyager includes: 1. Project Creation Open the Create Document Wizard from the main menu.

Select FMR (Functional MRI Project) as the targeted document type.

Select the raw data format, which is typically DICOM, and browse to your data directory.

BrainVoyager reads the header files to auto-populate the number of slices, spatial voxels, and repetition time (TR).

Create a 3D Anatomical Document (VMR) using the same wizard to extract structural parameters. 2. Functional Preprocessing

Access the Preprocessing menu to clean up raw experimental data and eliminate scanner artifacts.

Run 3D Motion Correction to automatically detect and align rigid body displacements over time.

Apply Slice Scan Time Correction to account for the minute time delays between individual slice acquisitions.

Use High-Pass Filtering (Drift Removal) to systematically delete slow signal drift caused by scanner heating or physical physiology. 3. Anatomical Co-Registration and Normalization NEWBI 4 fMRI Tutorial 1: Data – v1 — NEWBI 4 fMRI