Functional MRI Data for Dog and Human Face and Body Perception Studies

Raw functional neuroimaging data from 15 dogs and 40 humans used to investigate the neural correlates of face and body perception. The dataset includes structural scans, brain masks, condition timing files, and motion regressors for the dog subjects. It was produced by Magdalena Boch at the University of Vienna and shared via an Open Science Framework project.

Use Cases

• Comparing neural activation patterns for animate vs. inanimate object perception based on fMRI data
• Analyzing species-specific representations of faces and bodies in the occipito-temporal lobe
• Investigating motion artifacts and performing scrubbing corrections using the provided motion regressors
• Conducting multivariate pattern analysis on brain activity related to social stimuli

Strengths

• Includes raw fMRI data from 15 dogs, enabling direct analysis
• Provides structural scans, brain masks, and skull-stripped versions for the dog cohort
• Contains detailed condition timing and motion regressor files for each experimental run

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Human sample data is not included in this package and must be requested separately

Provenance

Source

University of Vienna

Collection Method

Collected via functional MRI scans during controlled perception tasks