Plasma biomarkers of neurodegeneration and intraindividual cognitive variability: Comparing variability across test at one time point and using repeated ecological momentary assessment.
Year: 2026
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: Intraindividual cognitive variability (IICV) is a promising measure for early identification of dementia risk. Fewer studies have assessed IICV using high-frequency digital cognitive assessment or in populations with medical conditions. We aimed to characterize associations between IICV for reaction time and accuracy with plasma biomarkers of neurodegeneration (phosphorylated tau 181, phosphorylated tau 217, β-amyloid 42/40 ratio, glial fibrillary acidic protein, and neurofilament light chain) in individuals with Type 1 diabetes. METHOD: = 48.9 years, range = 19-84). Cognition was assessed digitally at baseline and three times daily for 15 days via ecological momentary assessment. Hierarchical linear regression models examined associations between biomarkers and IICV, adjusting for demographics, glycemic variability, mean cognition, and nephropathy. Multiple testing correction used Benjamini-Hochberg. RESULTS: < .05), but associations did not remain significant after adjustment. Exploratory analyses indicated interactions with age and sex. IICV for accuracy was not associated with any biomarker. CONCLUSIONS: Although associations between IICV and plasma biomarkers were not robust after full adjustment, exploratory analyses suggested potential interactions with age and sex. The sample was predominantly non-Hispanic White, limiting the generalizability of our findings. These findings support continued investigation of digital IICV as a dynamic marker of early cognitive vulnerability. (PsycInfo Database Record (c) 2026 APA, all rights reserved).
Source: Neuropsychology
DOI: 10.1037/neu0001080
Authors: Luciana Mascarenhas Fonseca, Doug L. Weeks, Michael Cleveland, Zoë W. Hawks, Lanee Jung, Yogish C. Kudva, Shafaq Rizvi, Jane Bulger, Elizabeth Grinspoon, Kamille Janess, Martin Sliwinski, Richard E. Pratley, Michael R. Rickels, Ruth S. Weinstock, Jasmeer P. Chhatwal, Pia Webb Kivisäkk, Michal Schnaider Beeri, Laura Thi Germine, Naomi Sage Chaytor
Institutions: Washington State University Spokane, Washington State University, McLean Hospital, Mayo Clinic, SUNY Upstate Medical University, Jaeb Center for Health Research, Pennsylvania State University, AdventHealth, University of Pennsylvania, Harvard University, Massachusetts General Hospital, Rutgers, The State University of New Jersey, Rutgers Health
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Funders: Alzheimer's Association, Amgen, Eli Lilly and Company, University of Pennsylvania, University of Washington, Insulet Corporation, MannKind Corporation, Dexcom, Novo Nordisk, National Institutes of Health, National Institute on Aging, National Institute of Diabetes and Digestive and Kidney Diseases, National Center for Advancing Translational Sciences
Awards: G1043879701, AD Biomarkers, Vascular Risk Factors and Cognitive Variability in Aging T1D, G3469478182, G471519714, Glycemic Variability and Fluctuations in Cognitive Status in Adults with Type 1 Diabetes, Intraindividual cognitive variability in aging adults with Down syndrome: associations with Alzheimer's disease plasma biomarkers, neuropathology and clinical dementia, G9000043450, G9000208313, G9000250408, University of Washington Alzheimer's Disease Research Center
OpenAlex ID: W7155809476