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P4‐114: Changes of functional brain network in mild cognitive impairment and Alzheimer's disease: Graph theoretical analysis of brain glucose metabolism
Author(s) -
Seo Eun Hyun,
Lee Dong Young,
Park JunSung,
Yoon Uicheul,
Lee JongMin,
Choo IL Han,
Kim Yu Kyeong,
Kim Shin Gyeom,
Park Shin Young,
Woo Jong Inn
Publication year - 2011
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2011.05.2135
Subject(s) - neuroscience , positron emission tomography , human brain , alzheimer's disease , cerebellum , psychology , cognitive impairment , temporal cortex , cognition , medicine , disease
ral substrates associated with our latent dementia proxy. In a base model, we constructed two latent factors: “g” 1⁄4 Spearman’s g, i.e., the shared variance in cognition derived from the cognitive battery; and “f”, i.e., the shared variance in functional status, derived from Physical Performance Test (PPT) and Alzheimer’s Disease Cooperative Study-Activities of Daily Living (ADCS-ADL) items. In the final model, we added a third latent variable “d”, representing the shared variance between cognitive test scores and PPT /ADC-ADL items. Results: In the base model, g correlated r 1⁄4 0.643 with CDR sum of boxes (CDRSOB). f correlated r 1⁄4 0.562. Together, g and f explained 72.9% of CDRSOB variance. In the final model, d correlated strongly with CDRSOB (r 1⁄4 0.816). g’s association was attenuated (r 1⁄4 0.300), as was f’s (r 1⁄4 0.245). Together, g, f and d explained 82.7% of CDRSOB variance. Lower gray matter volumes in the regions associated with d and g were associated with higher CDR scores. After adjusting for age and gender, d was significantly and positively associated with grey matter volume in bilateral cingulate (BA 31), left posterior cingulate, (BA 31), right inferior parietal lobe (BA 40), and right middle temporal gyrus (BA 21). Conclusions: This study confirms in a third cohort that a latent variable can be constructed from readily available cognitive and functional status measures that is strongly associated with dementia severity. As we hypothesized, d is specifically associated with elements of the DMN.