To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure email@example.com
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
A symptom of mild cognitive impairment (MCI) and Alzheimer’s disease
(AD) is a flat learning profile. Learning slope calculation methods vary, and
the optimal method for capturing neuroanatomical changes associated with MCI and
early AD pathology is unclear. This study cross-sectionally compared four
different learning slope measures from the Rey Auditory Verbal Learning Test
(simple slope, regression-based slope, two-slope method, peak slope) to
structural neuroimaging markers of early AD neurodegeneration (hippocampal
volume, cortical thickness in parahippocampal gyrus, precuneus, and lateral
prefrontal cortex) across the cognitive aging spectrum [normal
control (NC); (n=198;
age=76±5), MCI (n=370;
age=75±7), and AD (n=171;
age=76±7)] in ADNI. Within diagnostic group,
general linear models related slope methods individually to neuroimaging
variables, adjusting for age, sex, education, and APOE4 status. Among MCI,
better learning performance on simple slope, regression-based slope, and late
slope (Trial 2–5) from the two-slope method related to larger
parahippocampal thickness (all p-values<.01) and
hippocampal volume (p<.01). Better regression-based
slope (p<.01) and late slope
(p<.01) were related to larger ventrolateral
prefrontal cortex in MCI. No significant associations emerged between any slope
and neuroimaging variables for NC (p-values ≥.05) or
AD (p-values ≥.02). Better learning performances
related to larger medial temporal lobe (i.e., hippocampal volume,
parahippocampal gyrus thickness) and ventrolateral prefrontal cortex in MCI
only. Regression-based and late slope were most highly correlated with
neuroimaging markers and explained more variance above and beyond other common
memory indices, such as total learning. Simple slope may offer an acceptable
alternative given its ease of calculation. (JINS, 2015,
Email your librarian or administrator to recommend adding this to your organisation's collection.