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IC‐P‐049: Change in amyloid deposition is related to concurrent cognitive change in MCI
Author(s) -
Landau Susan,
Petersen Ronald,
Aisen Paul,
Jagust William
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.2011.05.118
Subject(s) - pittsburgh compound b , cognitive decline , cognition , psychology , effects of sleep deprivation on cognitive performance , episodic memory , posterior cingulate , recall , audiology , medicine , neuroscience , disease , dementia , cognitive impairment , cognitive psychology
tained. Using WM integrity measures an “injury” map was created and coregistered to normal subjects for which WM tracts had been constructed. Those WM tracts passing through the “injured” voxels and the GM regions they connected were recorded. A measure of cortical involvement, so-called comparative connectivity loss (CCL, Figure 1), was calculated as the percentage of damaged tracts out of the total number connected to GM regions. Results: The CCL map was inspected for agreement with GM regions involved in the degenerative process of AD. The most classically associated gray matter region in AD, the hippocampus, was prominent in the list. Several temporal, parietal, cingular structures, and the hypothalamus were also among the top 20%. Both the Pearson’s and Spearman’s correlation coefficients between the GM regions’ CCL and t-scores of measured GM atrophy were calculated and found to be highly significant (R 1⁄4 -0.29, p 1⁄4 0.0076 and R 1⁄4 -0.41, p 1⁄4 9.37x10 , Figure 2). Conclusions: These results represent the first attempt to use tractography information from normal subjects to investigate the relationship between locations of WM integrity loss and connected GM atrophy in AD. The results agree with clinical knowledge of the progression of AD, and the GM CCL measures correlate with observed GMatrophy. The current analysis represents the first step in assessing a causal or temporal relationship between gray and white matter degeneration. Knowing the progression of tissue degeneration in Alzheimer’s may lead to more accurate early detection strategies and increased precision in tracking the disease and its treatment, leading to better diagnosis and prognosis in clinical practice.