Suspected non-AD pathology in mild cognitive impairment

Abstract We aim to better characterize mild cognitive impairment (MCI) patients with suspected non-Alzheimer's disease (AD) pathology (SNAP) based on their longitudinal outcome, cognition, biofluid, and neuroimaging profile. MCI participants (n = 361) from ADNI-GO/2 were designated “amyloid pos...

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Published inNeurobiology of aging Vol. 36; no. 12; pp. 3152 - 3162
Main Authors Wisse, Laura E.M, Butala, Nirali, Das, Sandhitsu R, Davatzikos, Christos, Dickerson, Bradford C, Vaishnavi, Sanjeev N, Yushkevich, Paul A, Wolk, David A
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.12.2015
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Summary:Abstract We aim to better characterize mild cognitive impairment (MCI) patients with suspected non-Alzheimer's disease (AD) pathology (SNAP) based on their longitudinal outcome, cognition, biofluid, and neuroimaging profile. MCI participants (n = 361) from ADNI-GO/2 were designated “amyloid positive” with abnormal amyloid-beta 42 levels (AMY+) and “neurodegeneration positive” (NEU+) with abnormal hippocampal volume or hypometabolism using fluorodeoxyglucose–positron emission tomography. SNAP was compared with the other MCI groups and with AMY− controls. AMY−NEU+/SNAP, 16.6%, were older than the NEU− groups but not AMY− controls. They had a lower conversion rate to AD after 24 months than AMY+NEU+ MCI participants. SNAP-MCI participants had similar amyloid-beta 42 levels, florbetapir and tau levels, but larger white matter hyperintensity volumes than AMY− controls and AMY−NEU− MCI participants. SNAP participants performed worse on all memory domains and on other cognitive domains, than AMY−NEU− participants but less so than AMY+NEU+ participants. Subthreshold levels of cerebral amyloidosis are unlikely to play a role in SNAP-MCI, but pathologies involving the hippocampus and cerebrovascular disease may underlie the neurodegeneration and cognitive impairment in this group.
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Data used in preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf
ISSN:0197-4580
1558-1497
DOI:10.1016/j.neurobiolaging.2015.08.029