Lausanne Connectome: Multimodal Brain Networks from 70 Healthy Adults

Seventy healthy young adults (age 28.8 ± 9.1 years, 27 females) underwent multimodal MRI scanning to map brain connectivity. The dataset includes structural connectivity from diffusion spectrum imaging (DSI) and functional connectivity from eyes-open resting-state fMRI, processed into brain region parcels at five spatial scales (83, 129, 234, 463, and 1015 parcels). This provides a core resource for studying the human connectome's structural and functional organization in a healthy population.

Use Cases

• Comparing structural and functional connectivity matrices derived from DSI and rs-fMRI data.
• Analyzing brain network topology across multiple anatomical parcellation scales (83 to 1015 regions).
• Developing or validating algorithms for graph-based analysis of neuroimaging data.
• Investigating individual differences in connectome architecture within a healthy cohort.

Strengths

• Includes data from 70 participants with detailed acquisition parameters (e.g., 3-Tesla scanner, 128 DSI volumes, 280 fMRI images per participant).
• Provides pre-processed connectivity data at five standardized anatomical parcellation levels, enabling multi-scale analysis.
• Data is fully anonymized and collected under approved ethical protocols (#82/14, #382/11, #26.4.2005).

Limitations

• Key metadata such as dataset size, row count, specific file formats, and last update date are not provided across sources.
• The cohort consists solely of young healthy adults, limiting generalizability to other age groups or clinical populations.
• Column names and the exact structure of the provided data files are unknown.

Provenance

Source

University of Lausanne (Alessandra Griffa)

Collection Method

Data acquired via 3-Tesla MRI scanning (Siemens Trio) including MPRAGE, DSI, and resting-state fMRI sequences, processed using the Connectome Mapper pipeline and FreeSurfer.

Geography

Lausanne, Switzerland (inferred from institutional affiliation).