Abstract
This study aimed to identify baseline features of normal subjects that are associated with subsequent cognitive decline. Publicly available data from the Alzheimer's Disease Neuroimaging Initiative was used to find differences in baseline clinical assessments (ADAScog, AVLT, FAQ) between cognitively healthy individuals who will suffer cognitive decline within 48 months and those who will remain stable for that period. Linear regression models indicated an individual's conversion status was significantly associated with certain baseline neuroimaging measures, including posterior cingulate glucose metabolism. Linear Discriminant Analysis models built with baseline features derived from MRI and FDG-PET measures were capable of successfully predicting whether an individual will convert to MCI within 48 months or remain cognitively stable. The findings from this study support the idea that there exist informative differences between normal people who will later develop cognitive impairments and those who will remain cognitively stable for up to four years. Further, the feasibility of developing predictive models that can detect early states of cognitive decline in seemingly normal individuals was demonstrated.
| Original language | English (US) |
|---|---|
| Article number | e74062 |
| Journal | PLoS One |
| Volume | 8 |
| Issue number | 9 |
| DOIs | |
| State | Published - Sep 9 2013 |
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ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Medicine(all)
Cite this
Early Indications of Future Cognitive Decline : Stable versus Declining Controls. / Rizk-Jackson, Angela; Insel, Philip; Petersen, Ronald Carl; Aisen, Paul; Jack, Clifford R Jr.; Weiner, Michael.
In: PLoS One, Vol. 8, No. 9, e74062, 09.09.2013.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Early Indications of Future Cognitive Decline
T2 - Stable versus Declining Controls
AU - Rizk-Jackson, Angela
AU - Insel, Philip
AU - Petersen, Ronald Carl
AU - Aisen, Paul
AU - Jack, Clifford R Jr.
AU - Weiner, Michael
PY - 2013/9/9
Y1 - 2013/9/9
N2 - This study aimed to identify baseline features of normal subjects that are associated with subsequent cognitive decline. Publicly available data from the Alzheimer's Disease Neuroimaging Initiative was used to find differences in baseline clinical assessments (ADAScog, AVLT, FAQ) between cognitively healthy individuals who will suffer cognitive decline within 48 months and those who will remain stable for that period. Linear regression models indicated an individual's conversion status was significantly associated with certain baseline neuroimaging measures, including posterior cingulate glucose metabolism. Linear Discriminant Analysis models built with baseline features derived from MRI and FDG-PET measures were capable of successfully predicting whether an individual will convert to MCI within 48 months or remain cognitively stable. The findings from this study support the idea that there exist informative differences between normal people who will later develop cognitive impairments and those who will remain cognitively stable for up to four years. Further, the feasibility of developing predictive models that can detect early states of cognitive decline in seemingly normal individuals was demonstrated.
AB - This study aimed to identify baseline features of normal subjects that are associated with subsequent cognitive decline. Publicly available data from the Alzheimer's Disease Neuroimaging Initiative was used to find differences in baseline clinical assessments (ADAScog, AVLT, FAQ) between cognitively healthy individuals who will suffer cognitive decline within 48 months and those who will remain stable for that period. Linear regression models indicated an individual's conversion status was significantly associated with certain baseline neuroimaging measures, including posterior cingulate glucose metabolism. Linear Discriminant Analysis models built with baseline features derived from MRI and FDG-PET measures were capable of successfully predicting whether an individual will convert to MCI within 48 months or remain cognitively stable. The findings from this study support the idea that there exist informative differences between normal people who will later develop cognitive impairments and those who will remain cognitively stable for up to four years. Further, the feasibility of developing predictive models that can detect early states of cognitive decline in seemingly normal individuals was demonstrated.
UR - http://www.scopus.com/inward/record.url?scp=84883619455&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883619455&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0074062
DO - 10.1371/journal.pone.0074062
M3 - Article
C2 - 24040166
AN - SCOPUS:84883619455
VL - 8
JO - PLoS One
JF - PLoS One
SN - 1932-6203
IS - 9
M1 - e74062
ER -