What we measure
Brain analytics for researchers, clinicians, and individuals. We extract reproducible, publication-ready measurements from MRI scans, and offer cognitive screening adapted to the populations being assessed.
Neuroimaging analytics
From a single T1-weighted MRI, we run a configurable pipeline that produces a portable report and machine-readable metrics. Cohorts of one or one thousand. We accept submissions from researchers, clinicians, and consenting individuals who want a personal report.
Brain age estimation
A machine-learning estimate of how old the brain appears structurally, compared to chronological age. Surfaces the brain age gap — a concise summary of accelerated or preserved brain ageing from a single T1 scan. Validated in our recent peer-reviewed work in stroke recovery.
Read moreVolumetric & morphometric analysis
Region-by-region measurement of brain structures: total brain volume, gray and white matter, the hippocampus, amygdala, thalamus, ventricles, brainstem, and cerebellum. FreeSurfer-compatible outputs, so the numbers slot directly into existing study designs.
Lesion & atrophy quantification
Automated identification and measurement of stroke lesions, white matter hyperintensities, and longitudinal atrophy. Replaces hours of manual segmentation with reproducible output that can serve as a clinical-trial endpoint or a robust longitudinal biomarker.
Cortical analysis
Surface-based metrics — cortical thickness, gyrification, surface area — sensitive to subtle changes that volumetric analysis can miss. Useful in early-stage neurodegeneration, developmental cohorts, and ageing studies where structure precedes symptom.
Cognitive screening
Brain health is more than what an MRI shows. Some of the earliest signals of cognitive change are behavioural, and good screening catches them before structural change becomes obvious.
Locally appropriate cognitive screening
Standard global instruments — MMSE, MoCA — were validated mainly in Western, highly-literate populations and can misclassify cognitive status outside that context. We use and adapt validated instruments suited to the language, education level, and cultural background of the population being assessed, and develop fit-for-purpose tools where existing ones don't apply. Useful for dementia research, population health surveys, and clinical trials where cross-cultural validity matters.
EEG analytics, soon
We are extending our pipelines to electroencephalography: spectral power, functional connectivity, event-related responses, and microstate analysis. If your work would benefit from this, write to us. Early conversations shape what we build.
How it works
No portal, no signup, no SaaS lock-in. We work directly with each project.
Get in touch
Tell us what you are trying to measure and why. A short note about your study, your timeline, and the data you have is enough to start.
Send your scans
DICOM or NIfTI, anonymised. Research data with ethics approval, or clinical data under appropriate agreements.
We analyse
Standard turnaround is one to four weeks, depending on cohort size and analysis depth. Larger or more complex cohorts on a custom schedule.
You get a report
A clean PDF summary, all metrics as CSV and JSON, processed scans where useful, and a methods write-up suitable for the methods section of a paper.
Who we work with
- Researchers running cognitive ageing, stroke recovery, neurodegeneration, or developmental studies who need imaging or cognitive endpoints they can publish
- Clinicians looking for decision-support metrics on individual patients — quantitative grounding for a clinical impression
- Pharma and biotech teams running CNS trials and looking for sensitive imaging biomarkers and cognitive endpoints that move with treatment effect
- Other neurotech companies that need reliable imaging analysis plugged into a wider workflow
- Curious individuals who want to submit a personal scan and receive a clear, educational report. Not a clinical diagnosis — see the FAQ below.
FAQ
A few of the questions we get most often. If your question isn't here, write to us.
Can individuals submit their own scans?
Yes. We accept scans from consenting individuals who want to learn more about their own brain — out of curiosity, as part of personal research, or to participate in our growing population datasets. The same pipeline runs for an individual scan as for a research cohort. Reports are educational, not a clinical diagnosis. If something in your report would change your medical care, take it to your physician.
How do you make cognitive screening locally appropriate?
Standard cognitive screens like MMSE and MoCA were validated mainly in Western, highly-literate populations and can misclassify cognitive status outside that context. We use and adapt validated instruments suited to the language, education level, and cultural background of the people being screened, and develop fit-for-purpose tools where existing ones don't apply.
How long does a typical analysis take?
Standard turnaround is one to two weeks for cohorts of fewer than fifty scans, or for individual submissions. Larger or more complex cohorts run on a custom timeline that we agree before starting.
What does it cost?
Every project is different, so we don't publish a price list. As a rough band, single-subject analyses start in the low hundreds of US dollars; full cohort projects with multiple metrics range from low thousands into the mid five figures depending on scope. We send a fixed quote after your first message.
What scan formats do you accept?
DICOM (zipped) or NIfTI (.nii / .nii.gz). T1-weighted structural MRI is the primary input. We're happy to advise on QC and acquisition protocols if you're still designing your study.
How do you handle data security?
Scans are processed on operator-controlled local infrastructure, not the public cloud. Imaging is anonymised at intake and stored under UUID-based paths. We work with consented research data and clinical data under appropriate agreements, and can sign NDAs, DPAs, or BAAs as needed.
Do you work with clinical data, or just research?
Both. Clinical engagements need data agreements in place. Research engagements need IRB or ethics approval from your side.
Can we cite you on a paper?
If our analysis materially contributes to a study, author credit is appropriate and welcomed. If you'd rather cite the pipeline as a service in your methods section, that's also fine. We agree the form upfront.
What don't you do?
We don't read scans clinically, issue diagnoses, or replace a radiologist. We extract reproducible quantitative metrics; what to do with them is your decision and your physician's.
Do you offer EEG analysis yet?
Not yet — under active development. Get in touch if this is what you need; early conversations help shape what we build.
Work with us
We are deliberately small. That means we work closely with each project rather than at scale. It also means we say no to projects that do not fit, and yes to ones that do.
Tell us about what you are trying to measure. A few sentences is enough to start. If you would rather write directly, the address is hello@neurekahealth.com.