Aims and objectives
● Propose structures that allow early diagnosis of Alzheimer's disease. ● Obtain a representative sample of Alzheimer’s disease in early states. ● Set imaging biomarkers that allow classify patients in these clinical conditions.
Methods and materials
Introduction Alzheimer's disease’s (AD) has an increasing prevalence year after year,
particularly in aging societies such as the Spanish and European ones. As a result,
day after day the clinical,
social and economic impact of this disease increases.
in recent years interest and investment in research into Alzheimer's disease has grown. Effective biomarkers that allow early diagnosis,
staging the disease and establish a prognosis have been searched. Measurement of...
The statistical analysis is performed using the R software (version 3.3.3).
A p-value less than 0.05 is considered as statistically significant. An ordinal regression is performed in order to search correlation between variations in the parameters studied and the score in the CDR test. Those variables showing statistically significant differences are suggested as classifiers between different CDR groups. On the tables,
only variables having statistically significant results (p <0.05) are...
● The average cortical thickness of the right rostral anterior cingulate and the surface of the left cingulate isthmus show statistically significant differences between normal subjects and patients with early stage Alzheimer’s disease,
considering its global cognitive functions . ● Other brain regions show significant differences when considering specific cognitive functions: memory and orientation.
A study of structural and functional connectivity in early Alzheimer's disease using fMRI and rest tensor diffusion imaging.
Int J Geriatr Psychiatry.
2015 May; 30 (5): 497-504. 2.
Alzheimer's Disease Neuroimaging Initiative (INDA).
Brain connectivity and network Measures novel Alzheimer's disease for classification.
2015 January; 36 Suppl 1: S121-131....