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[P1–010]: INVESTIGATING THE SELECTIVE VULNERABILITY OF ALZHEIMER's DISEASE IN FIVE SUBCORTICAL NUCLEI AS COMPARED TO FOUR REPEAT TAUOPATHIES
Author(s) -
Eser Rana April,
Ehrenberg Alexander J.,
Petersen Cathrine,
Mejia Maria B.,
Seeley William W.,
Walsh Christine,
Neylan Thomas,
Miller Bruce L.,
Grinberg Lea T.
Publication year - 2017
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2017.06.077
Subject(s) - neuroscience , locus coeruleus , pedunculopontine nucleus , progressive supranuclear palsy , corticobasal degeneration , neurodegeneration , brainstem , biology , substantia nigra , dorsal raphe nucleus , psychology , dopaminergic , nucleus , parkinson's disease , pathology , medicine , serotonergic , dopamine , disease , deep brain stimulation , serotonin , biochemistry , receptor
and paper. Computerized tests hold, however, potential for more flexible testing with less resources. Our aim is to validate a webbased cognitive test battery, Muistikko, developed for the early detection of cognitive problems. Methods:Muistikko is a relative short cognitive battery (duration about 30 mins) that consists of seven subtasks assessing verbal episodic memory, processing speed and executive functions. We validated Muistikko in three cohorts (Table 1): PredictND and VPH-DARE@IT cohorts (memory clinic patients) and FINGER cohort (healthy cases at risk). To quantify cognitive disorders, we developed first a global cognitive score (GCS) composed of age, sex, MMSE, digit span, RAVLT, trail-making and animal fluency tests. GCS was defined as the disease-state index computed for the group of cognitively normal (CN, N1⁄4138) and Alzheimer’s disease subjects (N1⁄4275) from the independent Amsterdam Dementia Cohort. Thereafter, GCS was computed for all cases in the three cohorts. Finally, GCS (independent variable) was estimated from five (dependent) Muistikko variables, representing Muistikko GCS (MGCS), using linear regression with the PredictND data. In validation, correlation coefficients between GCS and MGCS were defined. In addition, classification accuracies betweenCN andmild-cognitive impairment (MCI), and CN and dementia subjects were computed for MMSE, GCS, and MGCS using cross-validation. Results: Figure 1 shows the distribution of GCS and MGCS in different diagnostic groups in the PredictND cohort. The correlation coefficients between GCS and MGCS were 0.79, 0.76 and 0.62 for the PredictND, VPH-DARE@IT and FINGER cohorts, respectively, using the regression model developed from the PredictND data. Table 2 shows classification results when using MMSE, GCS and MGCS to separate subjects with CN fromMCI and dementia subjects. The accuracy of MGCSwas superior toMMSE andGCS (p<0.05).Conclusions:This study shows that Muistikko web-based cognitive test battery provides useful information about cognitive decline and is able to classify CN fromMCI and dementia. 1 Ngandu, Lancet 2015; 2 Mattila JAlzheimers Dis 2011; 3 van der Flier J Alzheimers Dis 2014.