Canonical correlation analysis of synchronous neural interactions and cognitive deficits in Alzheimer's dementia

In previous work (Georgopoulos et al 2007 J. Neural Eng. 4 349-55) we reported on the use of magnetoencephalographic (MEG) synchronous neural interactions (SNI) as a functional biomarker in Alzheimer's dementia (AD) diagnosis. Here we report on the application of canonical correlation analysis...

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Bibliographic Details
Published in:Journal of neural engineering 2012-10, Vol.9 (5), p.056003-056003
Main Authors: Karageorgiou, Elissaios, Lewis, Scott M, McCarten, J Riley, Leuthold, Arthur C, Hemmy, Laura S, McPherson, Susan E, Rottunda, Susan J, Rubins, David M, Georgopoulos, Apostolos P
Format: Article
Language:English
Subjects:
Aged
Alzheimer Disease - diagnosis
Alzheimer Disease - epidemiology
Alzheimer Disease - physiopathology
Alzheimer's disease
cognition
Cognition Disorders - diagnosis
Cognition Disorders - epidemiology
Cognition Disorders - physiopathology
Electroencephalography Phase Synchronization - physiology
Humans
Magnetoencephalography
Male
Neurons - physiology
Neuropsychological Tests
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Summary:In previous work (Georgopoulos et al 2007 J. Neural Eng. 4 349-55) we reported on the use of magnetoencephalographic (MEG) synchronous neural interactions (SNI) as a functional biomarker in Alzheimer's dementia (AD) diagnosis. Here we report on the application of canonical correlation analysis to investigate the relations between SNI and cognitive neuropsychological (NP) domains in AD patients. First, we performed individual correlations between each SNI and each NP, which provided an initial link between SNI and specific cognitive tests. Next, we performed factor analysis on each set, followed by a canonical correlation analysis between the derived SNI and NP factors. This last analysis optimally associated the entire MEG signal with cognitive function. The results revealed that SNI as a whole were mostly associated with memory and language, and, slightly less, executive function, processing speed and visuospatial abilities, thus differentiating functions subserved by the frontoparietal and the temporal cortices. These findings provide a direct interpretation of the information carried by the SNI and set the basis for identifying specific neural disease phenotypes according to cognitive deficits.
ISSN:1741-2560
1741-2552
DOI:10.1088/1741-2560/9/5/056003