CamCAN

CamCAN
Title	CamCAN
Abbreviation	CamCAN
Established	2004–2015
Location	Cambridge, United Kingdom
Institutions	University of Cambridge, MRC Cognition and Brain Sciences Unit, Cambridge University Hospitals NHS Foundation Trust
Modalities	Magnetoencephalography, Magnetic resonance imaging, Neuropsychology, Demography
Participants	~700 adults

CamCAN

CamCAN is a large-scale, population-derived neuroimaging and cognitive ageing initiative based in Cambridge that assembled multimodal brain, behavioural, and demographic data to study adult lifespan changes. The project links detailed assessments with imaging modalities to investigate neural dynamics across ageing and lifespan variation, aiming to inform clinical and basic science questions in neurology and psychiatry. CamCAN contributed open datasets and methodological pipelines used by researchers across cognitive neuroscience, neuroimaging, and public health.

Overview

CamCAN was developed through collaboration between the MRC Cognition and Brain Sciences Unit, the University of Cambridge, and regional health services to produce normative lifespan data spanning young adulthood to older age. The project integrated protocols influenced by cohorts such as the UK Biobank, the Whitehall II study, and the Human Connectome Project while aligning with imaging standards from institutions like NIH research programs. CamCAN’s outcomes address trajectories relevant to disorders investigated at centers including Addenbrooke's Hospital, Institute of Psychiatry, Psychology and Neuroscience, and consortia such as the ENIGMA network.

Study Design and Methods

CamCAN implemented a cross-sectional, community-based sampling frame drawing on electoral registers and primary care lists similar to recruitment strategies used in British Household Panel Survey-style studies and the English Longitudinal Study of Ageing. The protocol combined neuroimaging, cognitive batteries, and lifestyle questionnaires influenced by instruments from the Cognitive Function and Ageing Study and neuropsychological measures used in Framingham Heart Study ancillary projects. Design elements included stratified age bands, standardized task paradigms derived from paradigms used in the Psychophysics Toolbox literature, and quality-control procedures compatible with workflows developed at the Wellcome Trust Centre for Neuroimaging.

Data Acquisition and Processing

Imaging acquisitions featured high-resolution structural magnetic resonance imaging protocols similar to sequences adopted by the Alzheimer's Disease Neuroimaging Initiative and whole-head magnetoencephalography recordings performed using systems akin to devices from manufacturers used in studies at the Max Planck Institute for Human Cognitive and Brain Sciences. Preprocessing pipelines drew upon toolsets from SPM (software), FSL (software), and MNE-Python ecosystems with motion correction, source reconstruction, and artifact rejection steps comparable to methods in publications from the Allen Institute for Brain Science. Data curation employed anonymization and provenance practices used by repositories such as the OpenNeuro archive and complied with standards similar to those from the Brain Imaging Data Structure community.

Demographics and Cohort Characteristics

The cohort comprised roughly 700 participants spanning ages 18–88, with demographic profiling covering variables used in studies such as the National Child Development Study and the British Cohort Study 1970. Socioeconomic and health covariates were harmonized following approaches from Office for National Statistics survey frameworks and epidemiological protocols like those in the European Prospective Investigation into Cancer and Nutrition. The sample composition and attrition patterns were reported with comparisons to population benchmarks from the Census of England and Wales and demographic syntheses used in Global Burden of Disease analyses.

Major Findings and Applications

CamCAN findings illuminated age-related changes in oscillatory dynamics, connectivity, and structural metrics, complementing results from the Baltimore Longitudinal Study of Aging and work at the Karolinska Institutet. Key outputs included lifespan trajectories of alpha and beta rhythms with implications for interpretation of biomarkers used in Parkinson's disease and Alzheimer's disease research, and task-evoked responses relevant to models developed in studies at the Cognitive Neuroscience Society meetings. The dataset has been applied in method development for source-localization techniques used by researchers at MIT, network science studies akin to those from Santa Fe Institute, and clinical translation projects in collaboration with groups focusing on stroke rehabilitation and mild cognitive impairment prognostics.

Access, Data Sharing, and Ethics

CamCAN adopted open-data principles aligning with practices promoted by the Wellcome Trust and data-sharing norms from the Medical Research Council. Access mechanisms incorporated managed-release tiers and data-use agreements comparable to procedures from the UK Data Service and governance models used by the Health Research Authority. Ethical oversight referenced frameworks from the NHS Research Ethics Committee and consent procedures informed by guidance from the Declaration of Helsinki and institutional policies at the University of Cambridge. Data reuse has required acknowledgment of the project in publications and adherence to privacy safeguards like those applied in Genomics England initiatives.

Category:Neuroscience studies Category:Neuroimaging datasets Category:Aging research