2018
DOI: 10.1038/s41582-018-0031-x
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Spatial navigation deficits — overlooked cognitive marker for preclinical Alzheimer disease?

Abstract: Detection of incipient Alzheimer disease (AD) pathophysiology is critical to identify preclinical individuals and target potentially disease-modifying therapies towards them. Current neuroimaging and biomarker research is strongly focused in this direction, with the aim of establishing AD fingerprints to identify individuals at high risk of developing this disease. By contrast, cognitive fingerprints for incipient AD are virtually non-existent as diagnostics and outcomes measures are still focused on episodic … Show more

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Cited by 347 publications
(385 citation statements)
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References 146 publications
(166 reference statements)
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“…This is consistent with cross‐sectional findings of a significant deficit in CM, but not RL, in individuals in the preclinical AD continuum . Differential utility of CM measures is also consistent with neuropathology occurring early in CM‐relevant brain regions, such as entorhinal cortex and hippocampus …”
Section: Discussionsupporting
confidence: 82%
See 4 more Smart Citations
“…This is consistent with cross‐sectional findings of a significant deficit in CM, but not RL, in individuals in the preclinical AD continuum . Differential utility of CM measures is also consistent with neuropathology occurring early in CM‐relevant brain regions, such as entorhinal cortex and hippocampus …”
Section: Discussionsupporting
confidence: 82%
“…In a clinically heterogenous sample, with individuals ranging from clinically normal to mild symptomatic AD, both CM and RL predicted clinical progression and discriminated between progressors and nonprogressors. This is consistent with progressive involvement of hippocampal and striatal circuits with disease progression, as well as with deficits in both CM and RL in symptomatic AD . Thus, when seeking to predict clinical progression in individuals with varying levels of clinical impairment, deficits in multiple aspects of spatial navigation may serve to predict later disease progression.…”
Section: Discussionsupporting
confidence: 67%
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