Local neurodynamics as a signature of cortical areas: new insights from sleep

Author:

Armonaite Karolina12,Nobili Lino34,Paulon Luca2,Balsi Marco5,Conti Livio67,Tecchio Franca21ORCID

Affiliation:

1. Faculty of Psychology, Uninettuno University , Corso V. Emanuele II, n. 39, 00186, Rome , Italy

2. Laboratory of Electrophysiology for Translational NeuroScience (LET’S), Institute of Cognitive Sciences and Technologies - Consiglio Nazionale delle Ricerche , Via Palestro, n. 32, 00185, Rome , Italy

3. Child Neurology and Psychiatry, IRCCS Istituto Giannina Gaslini , Via Gerolamo Gaslini, n. 5, 16147, Genoa , Italy

4. Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health (DINOGMI), University of Genoa , Largo Paolo Daneo, n. 3, 16132, Genoa , Italy

5. Department of Information Engineering, Electronics and Telecommunications, Sapienza University , Via Eudossiana, n. 18, 00184, Rome

6. Faculty of Engineering, Uninettuno University , Corso V. Emanuele II, n. 39, 00186, Rome , Italy

7. INFN – Istituto Nazionale di Fisica Nucleare , Sezione Roma Tor Vergata, Via della Ricerca Scientifica, n.1, 00133, Rome , Italy

Abstract

Abstract Sleep crucial for the animal survival is accompanied by huge changes in neuronal electrical activity over time, the neurodynamics. Here, drawing on intracranial stereo-electroencephalographic (sEEG) recordings from the Montreal Neurological Institute (MNI), we analyzed local neurodynamics in the waking state at rest and during the N2, N3, and rapid eye movement (REM) sleep phases. Higuchi fractal dimension (HFD)—a measure of signal complexity—was studied as a feature of the local neurodynamics of the primary motor (M1), somatosensory (S1), and auditory (A1) cortices. The key working hypothesis, that the relationships between local neurodynamics preserve in all sleep phases despite the neurodynamics complexity reduces in sleep compared with wakefulness, was supported by the results. In fact, while HFD awake > REM > N2 > N3 (P < 0.001 consistently), HFD in M1 > S1 > A1 in awake and all sleep stages (P < 0.05 consistently). Also power spectral density was studied for consistency with previous investigations. Meaningfully, we found a local specificity of neurodynamics, well quantified by the fractal dimension, expressed in wakefulness and during sleep. We reinforce the idea that neurodynamic may become a new criterion for cortical parcellation, prospectively improving the understanding and ability of compensatory interventions for behavioral disorders.

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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