The correlation of the neuronal long-range temporal correlations, avalanche dynamics with the behavioral scaling laws and interindividual variability

Palva, J. M. and Palva, S. (2014) The correlation of the neuronal long-range temporal correlations, avalanche dynamics with the behavioral scaling laws and interindividual variability. In: Plenz, D. and Niebur, E. (eds.) Criticality in Neural Systems. Series: Reviews of nonlinear dynamics and complexity. Wiley: Weinheim, pp. 105-126. ISBN 9783527411047 (doi: 10.1002/9783527651009.ch5)

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Spontaneous infra‐slow fluctuations (ISFs) in both neuronal firing rates and membrane potentials are a defining characteristic of fast (<1 Hz) mammalian brain activity both in vitro and in vivo. In human electrophysiological data, ISFs are salient both in direct recordings of scalp potentials and in amplitude dynamics of fast activities. In blood‐oxygenation‐level dependent (BOLD) signals, ISFs are prevalent as well and correlated among specific constellations of cortical and subcortical regions. These correlations define a hierarchical network of brain connectivity and functionally distinct, modular brain systems. While there are numerous examples of narrow‐band oscillations in the aforementioned data in the putative infra‐slow (0.01–0.1 Hz) or slow (0.1–1 Hz) frequency bands, several lines of data also show that ISFs are fractally self‐similar, scale‐free, and long‐range power‐law correlated across time and space. Importantly, a similar scale‐free dynamics characterizes also psychophysical time series. ISFs in fast amplitudes, slow potentials, BOLD signals, and behavioral data are mutually correlated and likely to reflect the same underlying phenomenon; (self‐organized) critical‐state dynamics in human large‐scale brain activity. Conversely, slow fluctuations appear to be the primary manifestation of critical‐state dynamics in the human brain. In this chapter, we briefly overview the physiological background and recording of infra‐slow fluctuations as well as the data analysis approaches for quantifying spatio‐temporal scaling laws in these data. In particular, we discuss neuronal scaling law dynamics from data obtained with magneto‐ and electroencephalography (M/EEG). M/EEG data combined with source reconstruction techniques have revealed spatio‐temporal correlations, scale‐free dynamics, and long‐range temporal correlations in spontaneous and task‐related brain activity. Importantly, both the avalanche dynamics and long‐range temporal correlations are correlated with behavioral scaling laws in confined cortical areas. Non‐invasive M/EEG‐based approaches pave the way for investigating brain‐subsystem‐specific critical‐state dynamics in healthy brains and pathological conditions, and critically, for understanding the putative link between neuronal and behavioral scaling laws.

Item Type:Book Sections
Glasgow Author(s) Enlighten ID:Palva, Professor Satu and Palva, Professor Matias
Authors: Palva, J. M., and Palva, S.
College/School:College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience

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