CognitionMRI: 7 Tesla fMRI Data for Tracking Ongoing Cognition in 18 Volunteers

CognitionMRI is a BIDS-compliant dataset containing 7 Tesla functional MRI data from 18 healthy volunteers performing a continuous multi-task paradigm. The data were originally published in the landmark paper 'Tracking ongoing cognition in individuals using brief, whole-brain functional connectivity patterns' (Gonzalez-Castillo et al., PNAS, 2015). It was uploaded to Hugging Face by the user xenificity.

Use Cases

• Decoding cognitive states based on whole-brain functional connectivity patterns.
• Modeling time-series brain activity during continuous multi-task performance.
• Developing BIDS-compliant data processing pipelines for high-resolution fMRI.
• Benchmarking algorithms for tracking ongoing cognition from neuroimaging data.

Strengths

• Data is BIDS-compliant, which suggests a standardized and interoperable structure.
• Uses high-resolution 7 Tesla functional MRI technology.
• Based on a landmark study published in PNAS (Proceedings of the National Academy of Sciences).
• Focuses on a continuous multi-task paradigm for tracking cognition.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and dataset size are unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the original study's participant pool of 18 healthy volunteers.

Provenance

Source

Original data from the paper 'Tracking ongoing cognition in individuals using brief, whole-brain functional connectivity patterns' (Gonzalez-Castillo et al., PNAS, 2015).

Collection Method

Functional MRI data collected from 18 healthy volunteers performing a continuous multi-task paradigm.

Time Range

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Freshness

Last updated 2026-04-08 17:41:20; freshness should be verified.

Geography

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