Absolute Power Spectral Density Changes in the Magnetoencephalographic Activity During the Transition from Childhood to Adulthood
- 235 Downloads
The aim of this study was to define the pattern of reduction in absolute power spectral density (PSD) of magnetoencephalography (MEG) signals throughout development. Specifically, we wanted to explore whether the human skull’s high permeability for electromagnetic fields would allow us to question whether the pattern of absolute PSD reduction observed in the human electroencephalogram is due to an increase in the skull’s resistive properties with age. Furthermore, the topography of the MEG signals during maturation was explored, providing additional insights about the areas and brain rhythms related to late maturation in the human brain. To attain these goals, spontaneous MEG activity was recorded from 148 sensors in a sample of 59 subjects divided into three age groups: children/adolescents (7–14 years), young adults (17–20 years) and adults (21–26 years). Statistical testing was carried out by means of an analysis of variance (ANOVA), with “age group” as between-subject factor and “sensor group” as within-subject factor. Additionally, correlations of absolute PSD with age were computed to assess the influence of age on the spectral content of MEG signals. Results showed a broadband PSD decrease in frontal areas, which suggests the late maturation of this region, but also a mild increase in high frequency PSD with age in posterior areas. These findings suggest that the intensity of the neural sources during spontaneous brain activity decreases with age, which may be related to synaptic pruning.
KeywordsMagnetoencephalography Electroencephalography Power spectral density Development
This work was supported by the Spanish Ministry of Science and Innovation, Grant number PSI2013-47506-R, funded by the FEDER program of the UE and Junta de Andalucía, Grant number CTS-153.
- Hari R (1993) Magnetoencephalography as a tool of clinical neurophysiology. In: Niedermeyer E, Lopes Da Silva F (eds) Electroencephalography, 3rd edn. Williams and Wilkins, Baltimore, pp 1035–1061Google Scholar
- Lewine JD (1990) Neuromagnetic techniques for the noninvasive analysis of brain function. In: Freeman SE, Fukushima E, Greene ER (eds) Noninvasive techniques in biology and medicine. San Francisco Press, San FranciscoGoogle Scholar
- Matousek M, Petersen I (1973) Frequency analysis of the EEG in normal children and adolescents. In: Kellaway P, Petersen I (eds) Automation of clinical electroencephalography. Raven, New York, pp 75–102Google Scholar
- Smith K, Politte D, Reiker G, Nolan TS, Hildebolt C, Mattson C, Tucker D, Prior F, Turovets S, Larson-Prior LJ (2012) Automated measurement of pediatric cranial bone thickness and density from clinical computed tomography. Int Conf IEEE Proc Eng Med Biol Soc 2012:4462–4465. doi: 10.1109/EMBC.2012.6346957 Google Scholar