Cerebral MRI in a prospective cohort study on depression and atherosclerosis: the BiDirect sample, processing...

Area of Science:

• Neuroscience
• Cardiovascular Research
• Psychiatry

Background:

• Cerebral magnetic resonance imaging (MRI) use in observational studies has grown significantly.
• Detailed reporting of study samples, image processing, and imaging markers is crucial for result validation and replication.
• This article updates and extends the feasibility report of the BiDirect cohort study's cerebral MRI dataset.

Approach:

• The BiDirect study tracked participants across four sessions over twelve years.
• Data acquisition protocols, processing pipelines (including standardization and quality control), and available analytical tools and markers are detailed.
• Participant data included a population-based cohort, a depression cohort, and a cardiovascular disease cohort.

Key Points:

• The BiDirect study involved characterized patient- and population-based cohorts with MRI data.
• Data were standardized to Brain Imaging Data Structure and processed using common software.
• MRI data and biomarkers are accessible upon request.

Conclusions:

• Cerebral MRI data were converted to Brain Imaging Data Structure and analyzed using standard tools (CAT12, FSL, Freesurfer, BIANCA) to extract biomarkers.
• The BiDirect study provides a thoroughly phenotyped population with structural and functional MRI data.
• The dataset is suitable for addressing various neuropsychiatric and cardiovascular research questions.