University of Surrey

Test tubes in the lab Research in the ATI Dance Research

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

Fernandez et al_ClinNeurophysiol_final_version_2012.pdf
Available under License : See the attached licence file.

Download (1389Kb)
PDF (licence)

Download (32Kb)


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.

Item Type: Article
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
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
Related URLs:
Divisions: Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences
Depositing User: Symplectic Elements
Date Deposited: 29 Oct 2012 21:01
Last Modified: 23 Sep 2013 19:36

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800