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P1‐326: Multi‐modality fusion of neuroimaging data in predicting abnormal cognitive decline in aging
Author(s) -
MacCarthy Matthew,
Petrella Jeffrey,
Sheldon Forrest,
Shaffer Jennifer,
Doraiswamy Murali,
Calhoun Vince
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.2011.05.606
Subject(s) - neuroimaging , cognitive decline , alzheimer's disease neuroimaging initiative , cognitive impairment , disease , cognition , independent component analysis , medicine , dementia , psychology , audiology , neuroscience , artificial intelligence , computer science
between the two groups. Results: Regional analyses were performed and direct comparisons of the Jacobian maps revealed that the AAMI group demonstrated significantly greater longitudinal atrophy in the right frontal and right temporal lobes as well as the anterior and posterior cingulate gyrus relative to the NC group (p<0.05; corrected for multiple comparisons using permutation tests). In contrast, the NC group did not show any area of greater brain volume loss relative to the AAMI group. Conclusions: The diagnosis of AAMI was associated with increased rate of brain atrophy relative to NC subjects in regions that are affected in Alzheimer’s disease (AD). AAMI may be diagnostically useful in identifying individuals with early signs of underlying pathology who may be in the prodromal stages of AD.