Biomarkers of Cognitive Impairment: Brain Cortical Thickness, Volumetrics, and Cerebrospinal Fluid
Abstract
In Alzheimer’s disease (AD), association of cognition with disease biomarkers is important for accurate diagnosis, prognosis and staging. We studied the value of cerebrospinal fluid (CSF), cortical thickness (CT), and volume (V) measures (in isolation & combination) to predict cognitive ability, as well as cognitive status, in a cross-sectional study of data from Alzheimer’s Disease Neuroimaging Initiative (ADNI). Cognitive status was measured by Mini Mental State Exam (MMSE). Results show that combining biomarkers allows more accurate AD diagnosis. Specifically, combining CSF, CT, and V measures seems promising. In isolation, CSF levels show significant but weak associations with MMSE. Aβ 1– 42 is associated with Mild Cognitive Impairment. CT and V measures of hippocampus and entorhinal cortex are strongly associated with Alzheimer ‘s Disease diagnosis and with ruling out the disease.
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.
Read the paper
Related studies
- Combining in silico and in vitro approaches to identification of potent inhibitor against phospholipase A2 (PLA2)
- In silico and in vitro studies: investigating the chemical composition, DFT, molecular docking, and dynamic simulation of Satureja candidissima (Munby) Briq essential oil as a potential antibacterial agent
- Quercetin combined with ciprofloxacin and gentamicin inhibits biofilm formation and virulence in Staphylococcus aureus
- In silico study of the mechanism of action, pharmacokinetic and toxicological properties of some N-methylanthranilates and their analogs
- Anticonvulsant Effects of Citronellal, Daidzin, and Phytol, Possibly Through GABAA Receptor and Voltage-Gated Sodium Channel Interaction Pathways: In Vivo and In Silico Studies
- 2-Phenylcyclopropylmethylamine (PCPMA) Derivatives as D3R-Selective Ligands for 3D-QSAR, Docking and Molecular Dynamics Simulation Studies
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.