Brain oscillatory complexity across the life span
Fernandez, A, Zuluaga, P, Abasolo, D, Gomez, C, Serra, A, Andreina Mendez, M and Hornero, R (2012) Brain oscillatory complexity across the life span CLINICAL NEUROPHYSIOLOGY, 123 (11). 2154 - 2162. ISSN 1388-2457
Available under License : See the attached licence file.
Official URL: http://dx.doi.org/10.1016/j.clinph.2012.04.025
OBJECTIVE: Considering the increasing use of complexity estimates in neuropsychiatric populations, a normative study is critical to define the 'normal' behaviour of brain oscillatory complexity across the life span. METHOD: This study examines changes in resting-state magnetoencephalogram (MEG) complexity - quantified with the Lempel-Ziv complexity (LZC) algorithm - due to age and gender in a large sample of 222 (100 males/122 females) healthy participants with ages ranging from 7 to 84years. RESULTS: A significant quadratic (curvilinear) relationship (p<0.05) between age and complexity was found, with LZC maxima being reached by the sixth decade of life. Once that peak was crossed, complexity values slowly decreased until late senescence. Females exhibited higher LZC values than males, with significant differences in the anterior, central and posterior regions (p<0.05). CONCLUSIONS: These results suggest that the evolution of brain oscillatory complexity across the life span might be considered a new illustration of a 'normal' physiological rhythm. SIGNIFICANCE: Previous and forthcoming clinical studies using complexity estimates might be interpreted from a more complete and dynamical perspective. Pathologies not only cause an 'abnormal' increase or decrease of complexity values but they actually 'break' the 'normal' pattern of oscillatory complexity evolution as a function of age.
|Additional Information:||NOTICE: this is the author’s version of a work that was accepted for publication in Clinical Neurophysiology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Clinical Neurophysiology Volume 123, Issue 11 , Pages 2154-2162, November 2012 http://www.clinph-journal.com/article/S1388-2457(12)00332-X/abstract|
|Uncontrolled Keywords:||Science & Technology, Life Sciences & Biomedicine, Clinical Neurology, Neurosciences, Neurosciences & Neurology, Life span, Ageing, Complexity, Brain development, White matter development, LEMPEL-ZIV COMPLEXITY, ALZHEIMERS-DISEASE PATIENTS, MILD COGNITIVE IMPAIRMENT, AGE-RELATED-CHANGES, BACKGROUND ACTIVITY, CORPUS-CALLOSUM, SEX-DIFFERENCES, EEG COMPLEXITY, WHITE-MATTER, TIME-SERIES|
|Divisions:||Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences|
|Deposited By:||Symplectic Elements|
|Deposited On:||29 Oct 2012 21:01|
|Last Modified:||02 Mar 2013 14:53|
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