Exploring the validity of mild cognitive impairment (MCI) subtypes: Multiple-domain amnestic MCI is the only identifiable subtype at longitudinal follow-up

Abstract

These findings suggest that the a-MCI+ subtype is the only variant that is recognizable via neuropsychological testing. In contrast, the differentiation between single-domain subtypes and healthy controls is difficult and may not be achievable through current neuropsychological assessment practices.

The Mild Cognitive Impairment (MCI) in Searching for its Clinical Identity, Comment of the NEDICES Cohort Data

“…Several surveys with similar MCI definitions to our study, but with a more extensive psychometric evaluation also showed similar results [10,[39][40][41]. The aMd-MCI is the only stable MCI subgroup in our longitudinal clinical investigation [evolution to more cognitive decline or dementia (15.6%), persistent MCI (35.7%), evolution to CN (10.1%), the rest were dead or ineligible subjects].…”

Relation between subcortical grey matter atrophy and conversion from mild cognitive impairment to Alzheimer's disease

“…Although our actual goal was to find the value of the point-based subcortical volume reduction, adding more information such as atrophy rate or ventricular enlargement rate measured by longitudinal evaluation of imaging would give more powerful explanations in prediction of progression to AD from MCI on this current cross-sectional study. Another potential limitation is the fact that we did not subclassify patients with MCI as being amnestic or non-amnestic, while the future course and relationship with subcortical structures could be affected by clinical subtypes 39. However, there was a report of longitudinal comparison between MCI subtypes, which showed no difference between the chance of reversion or the risk of conversion to AD, suggesting that MCI subtypes were diagnostically unstable 40.…”

A randomised control trial of the cognitive effects of working in a seated as opposed to a standing position in office workers

“…Repeated Measures MANOVA can be utilised to control for family wise error rate, as multi-collinearity between dependent variables is taken into account in determining the obtained F value for the differences due to the independent variable (Hair et al 1998). This is a common approach used in neuropsychological studies where multiple measures of related cognitive functions are used (Bondi et al 2003, Saunders and Summers 2011, Clark et al 2013, Klekociuk and Summers 2014.…”