کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3045590 1185025 2010 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Assessment of EEG dynamical complexity in Alzheimer’s disease using multiscale entropy
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی عصب شناسی
پیش نمایش صفحه اول مقاله
Assessment of EEG dynamical complexity in Alzheimer’s disease using multiscale entropy
چکیده انگلیسی

ObjectiveMultiscale entropy (MSE) is a recently proposed entropy-based index of physiological complexity, evaluating signals at multiple temporal scales. To test this method as an aid to elucidating the pathophysiology of Alzheimer’s disease (AD), we examined MSE in resting state EEG activity in comparison with traditional EEG analysis.MethodsWe recorded EEG in medication-free 15 presenile AD patients and 18 age- and sex-matched healthy control (HC) subjects. MSE was calculated for continuous 60-s epochs for each group, concurrently with power analysis.ResultsThe MSE results from smaller and larger scales were associated with higher and lower frequencies of relative power, respectively. Group analysis demonstrated that the AD group had less complexity at smaller scales in more frontal areas, consistent with previous findings. In contrast, higher complexity at larger scales was observed across brain areas in AD group and this higher complexity was significantly correlated with cognitive decline.ConclusionsMSE measures identified an abnormal complexity profile across different temporal scales and their relation to the severity of AD.SignificanceThese findings indicate that entropy-based analytic methods with applied at temporal scales may serve as a complementary approach for characterizing and understanding abnormal cortical dynamics in AD.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Clinical Neurophysiology - Volume 121, Issue 9, September 2010, Pages 1438–1446
نویسندگان
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