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The current study sought to identify whether prediction of cognitive progression is aided by examining baseline cognitive features, and whether this differs according to stage of cognitive disease.
As a result, the psychometric testing data did not permit a more detailed assessment of cognitive progression in these subjects.
These findings suggest a complex relationship between vascular disease and cognitive progression in MCI which might relate to the specific vascular disease factor.
Progression on these cognitive outcome measures can be seen as a beneficial outcome of an intervention, assuming that such a cognitive progression precedes behavior change.
Feldman et al. (2009) describe this growth as students' cognitive progression from novice researchers to proficient technicians, although they were applying these terms to graduate students.
Future work building on this study will be directed toward operationalization of a neuropsychological test battery and natural history database to enable timing of disease onset and document cognitive progression in these patient groups.
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Patients' answers will allow therapists to analyze the memory and/or cognitive progressions of the patient.
The findings depicted in Figure 4 allow for insight into the heterogeneity in cognitive progressions that arise among MCI, and thus help in identifying profiles of high risk.
AD, Alzheimer's disease; CN, cognitively normal; CNp, cognitively normal progression; CNs, cognitive normal stable; CV, coefficient of variation; MCI, mild cognitive impairment; MCI-OD, mild cognitive impairment, progression to non-AD dementia; MCIp, mild cognitive impairment progressor (to AD); MCIs, mild cognitive impairment stable; NA, not available; OD, other dementia; PD, Parkinson's disease.
From the obtained results, a nonlinear change of learning efficiency over time seems most plausible in terms of cognitive load progression.
A previous study demonstrates that reducing vascular risk factors inhibits cognitive decline progression [ 12].
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