CARRS Brain
Dementia is the defining
public-health challenge
of our aging world.
7.4%
of adults aged 60+—nearly 8.8 million people—are living with dementia
150M+
By 2050, more than 150 million people globally will be living with dementia.
Urgent
Critical need for population specific data
To address this gap, CARRS is capturing risk profiles and applying phenotyping strategies that are rigorous, scalable, and internationally comparable.
India cannot afford inaction
Baseline prevalence of modifiable dementia risk factors
South Asia is poised to account for a substantial share of the future global dementia burden.
Purpose of the Study
Understand Life-Course Origins
To understand how Alzheimer’s disease and related dementias develop across the life course in South Asian populations—long before clinical symptoms emerge.
Integrate Multimodal Risk
To integrate genetic, cardiometabolic, socio-behavioral, environmental, and brain phenotyping data to map heterogeneous pathways to cognitive impairment.
Predict and Prevent
To identify high-risk profiles and develop prediction frameworks to inform dementia prevention strategies tailored to South Asia.
Study Framework
CARRS-Brain extends the parent cohort using a three-tiered phenotyping framework that balances scalability with in-depth characterization:
Tier (1) – Genomics and plasma biomarkers
Stored baseline biospecimens are used for whole-genome sequencing and Alzheimer’s disease and related dementias (AD/ADRD) plasma biomarker assays.
Tier (2) – Follow-up cognitive and biomarker assessment
At a dedicated follow-up visit outside routine CARRS examinations, participants complete digital cognitive phenotyping and repeat blood collection.
Tier (3) – Multimodal deep phenotyping (age ≥50 years)
A subset of participants undergo comprehensive evaluation, including
Population-validated neuropsychological testing
Brain MRI
Retinal imaging
Wearable-based assessment of physical activity, stress, and sleep
Pillars of Data Collection
Neurocognitive Assessment
Brain Imaging
Retinal Imaging
Wearables
Lab Measurements

