A key theme is the need for India-specific evidence. Prof. Hari said global dementia research is heavily skewed toward Western populations and that genetic risk factors identified in largely Caucasian datasets may not translate cleanly to Indians. He argued that India’s earlier onset of chronic conditions like diabetes and hypertension—often by about a decade compared with Western populations—combined with longer life expectancy could increase dementia risk and accelerate its burden, making Indian genomics and India-specific cohorts essential for reliable prediction models and effective interventions.
To build that evidence base, CBR has established long-running cohorts designed to follow healthy adults over time—before dementia develops—so researchers can observe transitions from normal ageing to pre-dementia and, in some cases, dementia. The Centre launched India’s first urban longitudinal cohort focused on brain ageing in 2015, tracking 1,000 Bengaluru residents over age 45 through annual, multimodal assessments including detailed clinical evaluations, blood collection, cognitive testing, and measurements such as MRI, optical coherence tomography (OCT), audiometry, gait analysis, carotid Doppler, with plans to add EEG. In 2018, it initiated a large rural cohort in Kolar district, supported by mobile units reaching about 200 villages, designed to follow 10,000 participants at two-year intervals; the first-round enrolment of all 10,000 was completed in February 2025. Prof. Hari emphasised that data is de-identified using barcodes and that personally identifying information is not stored with research datasets.
The Centre is also exploring new screening tools that could be deployed more widely. Prof. Hari said advances now allow abnormal dementia-related proteins—previously tracked through invasive cerebrospinal fluid testing—to be detected in blood, and CBR aims to evaluate whether blood-based plasma protein biomarkers can support population-level screening in India, including India-specific reference ranges akin to HbA1c thresholds used in diabetes. Alongside blood markers, he described digital biomarkers—signals derived from speech patterns, gait, movement, eye-tracking, and other wearable or app-based monitoring—as a way to capture subtle changes that annual clinic visits may miss. The goal is to integrate these multimodal signals into an app or platform that can support repeated or continuous monitoring and help flag early risk.
A major structural problem, he said, is that while hospitals collect vast amounts of health data, cognition is rarely assessed, and patient data remains fragmented across institutions. CBR’s proposed solution is to embed standardised cognitive assessments—some developed by NIMHANS and supported by ICMR—into routine health datasets, and then create a coordinated, national-level repository by partnering with hospitals and existing cohorts focused on diabetes, hypertension, and cardiovascular disease. Prof. Hari said this could enable pan-India predictive models that are not limited to a single city or district.
Why this matters:
Dementia is a slow-building disease with a long silent phase, and India’s combination of rapid ageing and early-onset metabolic illness could turn it into a major health-system stress test within the next two decades. If reliable, India-specific early-warning markers can be built—especially using scalable tools like blood tests and digital monitoring—dementia care could shift from late-stage crisis response to earlier, targeted prevention and support. For families, that could mean earlier planning, better quality of life, and delayed disability; for policymakers, it could reshape how brain health is integrated into ageing, chronic disease management, and primary care.