2015
DOI: 10.1212/wnl.0000000000001738
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Memory, executive, and multidomain subtle cognitive impairment

Abstract: Objective: We studied the biomarker signatures and prognoses of 3 different subtle cognitive impairment (SCI) groups (executive, memory, and multidomain) as well as the subjective memory complaints (SMC) group. Methods:We studied 522 healthy controls in the Alzheimer's Disease Neuroimaging Initiative (ADNI). Cutoffs for executive, memory, and multidomain SCI were defined using participants who remained cognitively normal (CN) for 7 years. CSF Alzheimer disease (AD) biomarkers, composite and region-of-interest … Show more

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Cited by 44 publications
(68 citation statements)
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“…2A), which highly corresponds to the one described in typical Alzheimer’s disease35. Atrophy in the temporal lobes has been found in heterogeneous groups of healthy adults with subjective complaints1718192021 and Toledo et al 36. reported prominent frontal atrophy in SMD.…”
Section: Discussionsupporting
confidence: 65%
“…2A), which highly corresponds to the one described in typical Alzheimer’s disease35. Atrophy in the temporal lobes has been found in heterogeneous groups of healthy adults with subjective complaints1718192021 and Toledo et al 36. reported prominent frontal atrophy in SMD.…”
Section: Discussionsupporting
confidence: 65%
“…Conceptually, once this detection threshold is met, and major functional deficits are still absent, individuals can be classified as having objective cognitive impairment (40). Practically, however, this boundary between SCD (hypothetically indicating a pre-MCI stage) and MCI is not a clear line but rather a grey zone (41, 42), for several reasons.…”
Section: Resultsmentioning
confidence: 99%
“…While these findings underscore the crucial contributions of medial-temporal lobe and prefrontal volumes and integrity to cognitive aging, the relationship between structure and cognitive function is complex, multi-determined and more likely to entail broad patterns of structural change rather than single regions of interest (Bettcher et al, 2016;Toledo et al, 2015). Moreover, assessing the functional integrity of prefrontal and medial temporal regions using functional neuroimaging has been crucial for revealing neurocognitive processes that may contribute to and possibly buffer against age-related cognitive decline.…”
Section: Linking Structural Decline With Cognitive Declinementioning
confidence: 98%
“…By influencing the transmission of neural signals between brain regions, white matter deterioration is likely to affect computation efficiency of neural networks. The application of combined imaging methods to assess white matter, cortical volume, metabolic measures and brain activation is proving to be increasingly important for characterizing the neural bases for age-related cognitive decline as well as variability among older individuals who are the same chronological age (e.g., Daselaar, Iyengar, Davis, Eklund, Hayes, & Cabeza, 2015;Toledo et al, 2015;Zahodne, Manly, Brickman, Siedlecki, DeCarli, & Stern, 2015;Zhu, Johnson, Kim and Gold, 2015). However, linking specific neural indices to specific aspects of cognitive decline continues to be a major challenge (e.g., Salthouse, 2011).…”
Section: Neurostructural Agingmentioning
confidence: 99%
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