Neuroscience, psychiatry and neurology labs
You have MRI or PET data and a question that needs a defensible analysis.
Brain Health & Neuroimaging
Neuroimaging analysis, brain-age methods and statistics for studies of the brain and cognition, from the analysis plan to figures a reviewer can check.
Who this is for
Teams we help in this field.
Graduate students and postdocs
You face a methods decision or a reviewer comment and need a second, expert opinion.
Clinical research groups
You are adding brain imaging to a cohort study and need a plan before the first scan.
Audiences we welcome, not a list of clients.
Questions we help answer
What teams in this field ask us.
- Is brain age a sensible outcome for our cohort, and how should we correct its age bias?
- How many participants do we need to detect a difference in a regional brain measure?
- Which MRI features (voxel-wise, regional or patch-based) suit our question?
- How do we model repeated scans when some visits are missing?
- How do we answer a reviewer who questions our multiple-comparison correction?
- Are our results robust to differences between scanners and sites?
What you receive
- A written analysis plan: outcomes, covariates, models and the checks agreed before analysis starts.
- Processed measures with a quality-control log: every exclusion and decision recorded.
- Statistical results and figures: tables and publication-ready figures in your journal's format.
- Methods and results text: written so a reviewer can follow every step.
- Reproducible code: R or Python, with the software environment recorded.
Methods we use
The methods specialists ask about.
- T1-weighted MRI morphometry
- PET and DTI measures
- Brain age and Brain-PAD
- Age-bias adjustment
- Mixed-effects models
- Multiple-comparison control
- Scanner and site harmonization
- Cross-validation
Evidence
Published work behind this area.
A novel patch-based procedure for estimating brain age across adulthood
Introduced a patch-based way to estimate brain age from T1-weighted MRI across adulthood.
Read the paper (external site)Bias-adjustment in neuroimaging-based brain age frameworks: A robust scheme
Showed how to correct the age bias that affects every brain-age model.
Read the paper (external site)Patch-wise brain age longitudinal reliability
Measured how stable patch-wise brain age is when the same people are scanned again.
Read the paper (external site)Boundaries
Research analysis only. We do not read clinical scans, give diagnoses or offer medical advice. Data arrive de-identified and are used only under your data-use agreement.
Packages that fit
Start at the right scale.
The same packages and prices on every page. Each starts with a written scope.
Research Diagnostic
Fixed priceCAD 495
- 60-minute video call
- Two-page risks and next-steps memo
- Optional 30-minute debrief
Paid in full at booking.
Memo within 5 business days of the call.
Ask about thisAnalysis Plan Sprint
Fixed priceCAD 1,250
- Analysis and validation plan
- Scoped sample-size or power calculation
- Methods text or reviewer response
50% to start; 50% on delivery.
Delivery date agreed in the written scope.
Ask about thisData-to-Results Sprint
FromCAD 3,000
- Agreed analysis and quality-control log
- Figures, tables and methods text
- R or Python code and recorded environment
50% to start; 50% on delivery.
Final price and delivery date agreed after scoping.
Ask about thisBrain-Age Cohort Report
FromCAD 4,000
- Cohort-level research report
- Method, quality control and interpretation limits
- Scope and data and model rights review
Terms follow availability and rights review.
Not currently open for booking.
Ask about availabilityRelated
Go deeper.
Questions
About working in brain health & neuroimaging.
Which imaging formats can you work with?
Standard research formats (NIfTI, or DICOM after conversion) and the regional tables produced by common processing pipelines. We agree the format in the written scope before any data move.
Do you process raw scans or use our processed outputs?
Either. Many projects start from the regional measures your team already has; raw processing adds time and is priced in the scope.
Can you use ADNI or other public datasets for our project?
Only under your own approved data-use agreement and its terms. ADNI's agreement covers research and teaching, so we never use it for commercial client work without written permission.
Is brain age the right outcome for our study?
Sometimes. It summarizes many regional changes in one number, but it needs bias adjustment and a clear question. We tell you plainly when a regional measure would answer your question better.
Can you help answer reviewers?
Yes. We draft the statistical part of your response and any extra analysis, with the reasoning a reviewer can check.
Who owns the code and results?
You do, once the invoice is paid, unless the written scope says otherwise.
Discuss a brain health project.
Start with a short, non-confidential description. We reply with a suggested next step.