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Published on: June 26, 2013
Cognitive and Neuroimaging for Neurodegenerative Disorders: A Cohort Study Design with Initial Findings
Akram A Hosseini1,2,3, Beili Shao1,3, Abigail Rebecca Lee1
1Department of Neurology, Research and Innovation, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
Early-onset cognitive decline (EOCD) shows significant heterogeneity, often misdiagnosed. Neuroimaging and CSF biomarkers improve diagnostic accuracy in EOCD versus late-onset cognitive decline (LOCD), revealing distinct profiles and higher mortality in LOCD.
Area of Science:
- Neurology
- Neuroscience
- Gerontology
Background:
- Dementia exhibits significant heterogeneity across age groups, with early-onset cognitive decline (EOCD) presenting unique diagnostic and management challenges.
- The Cognitive and Neuroimaging for Neurodegenerative Disorders (CogNID) study addresses the complexity of cognitive impairment diagnosis and biomarker utility.
Purpose of the Study:
- To characterize clinical, cognitive, neuroimaging, and biomarker features in a diverse cohort with cognitive impairment.
- To focus on diagnostic complexity, biomarker utility, and mortality differences between early-onset (EOCD) and late-onset cognitive decline (LOCD).
Main Methods:
- Prospective cohort study of 429 participants from NHS memory clinics, including EOCD (<65 years) and LOCD (≥65 years) groups.
- Data collection included structured cognitive assessments, neuroimaging (MRI/CT), and cerebrospinal fluid (CSF) biomarker evaluation.
- Diagnoses were established by multidisciplinary consensus.
Main Results:
- EOCD comprised 81.4% of the cohort (n=349).
- Alzheimer's disease biomarkers were found in 36.4% of tested EOCD participants; Functional Cognitive Disorder (FCD) was more prevalent in EOCD (22.3% vs. 5.0%).
- Mortality was higher in the LOCD group (11.3% vs. 4.6%).
Conclusions:
- The CogNID study highlights the diagnostic heterogeneity in cognitive impairment, especially in younger adults.
- Integrating neuroimaging and CSF biomarkers enhances diagnostic precision and differentiates EOCD from LOCD phenotypes.
- Findings emphasize the need for harmonized diagnostic protocols, accessible biomarkers, and inclusive recruitment in dementia research.
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