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P2‐176: PIB‐POSITIVITY INFLUENCES ON FUNCTIONAL BRAIN CONNECTIVITY IN AMNESTIC MILD COGNITIVE IMPAIRMENT
Author(s) -
Yi Dahyun,
Choe Young Min,
Byun Min Soo,
Sohn Bo Kyung,
Seo Eun Hyun,
Han Ji Young,
Park Jinsick,
Woo Jong Inn,
Lee Dong Young
Publication year - 2014
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.2014.05.852
Subject(s) - default mode network , dementia , psychology , resting state fmri , neuropsychology , audiology , neuroscience , clinical dementia rating , pittsburgh compound b , cognitive impairment , cognition , disease , medicine
data, the ROIs had to fit a wide range of brain architecture for data extraction, accounting for skewing during image compression and overlay. ROIs were evaluated for their ability to show significant differences between patient cohorts in FA, AxD, RD, and MD, and for internal variability. Results: Among all the WM tracts, the CING showed the best statistical differentiation between CN, eMCI, and AD patients.). This was validated against known and hypothesized pathologic changes. Analysis of variance across the patient cohorts showed significant trends for progressing disease pathology in the CING. e MCI was significantly different from CN demonstrated (P<.001) for AxD and RD. The Cingulum providedthe best ability to measure pathologic changes using DTI measurement techniques. Conclusions: DTI can detect microscopic changes in WM tracts in patients with eMCI, particularly in the cingulum. Expanded ROIs give the most consistent data and account for differences in brain morphometry and image compression/skewing when batch processing. As opposed to other WM tracts, the CING is easily identifiable with distinct margins that allow a clear definition of the ROI.