Analysis of neural dynamics in mild cognitive impairment and Alzheimer%26apos;s disease using wavelet turbulence

作者：Poza Jesus^*; Gomez Carlos; Garcia Maria; Corralejo Rebeca; Fernandez Alberto; Hornero Roberto

来源：Journal of Neural Engineering, 2014, 11(2): 026010.

DOI：10.1088/1741-2560/11/2/026010

• Alzheimer%26apos
• s disease
• mild cognitive impairment
• magnetoencephalogram
• continuous wavelet transform
• wavelet turbulence

Objective. Current diagnostic guidelines encourage further research for the development of novel Alzheimer%26apos;s disease (AD) biomarkers, especially in its prodromal form (i.e. mild cognitive impairment, MCI). Magnetoencephalography (MEG) can provide essential information about AD brain dynamics; however, only a few studies have addressed the characterization of MEG in incipient AD. Approach. We analyzed MEG rhythms from 36 AD patients, 18 MCI subjects and 27 controls, introducing a new wavelet-based parameter to quantify their dynamical properties: the wavelet turbulence. Main results. Our results suggest that AD progression elicits statistically significant regional-dependent patterns of abnormalities in the neural activity (p %26lt; 0.05), including a progressive loss of irregularity, variability, symmetry and Gaussianity. Furthermore, the highest accuracies to discriminate AD and MCI subjects from controls were 79.4% and 68.9%, whereas, in the three-class setting, the accuracy reached 67.9%. Significance. Our findings provide an original description of several dynamical properties of neural activity in early AD and offer preliminary evidence that the proposed methodology is a promising tool for assessing brain changes at different stages of dementia.

• 出版日期2014-4