Search

In this study, we analyze magnetoencephalographic (MEG) recordings from 48 clinically healthy subjects obtained from the Human Connectome Project (HCP) while they performed a working memory task and a motor task. Our results reveal a well-developed, stable interrelation pattern that spans the entire scalp and is nearly universal, being almost task- and subject-independent. Additionally, we demonstrate that this pattern closely resembles a stationary correlation pattern (SCP) observed in EEG signals under various physiological and pathological conditions (the distribution of Pearson correlations are centered at about 0.75). Furthermore, we identify the most effective EEG reference for studying the brain's functional network derived from lag-zero cross-correlations. We contextualize these findings within the theory of complex dynamical systems operating near a critical point of a phase transition., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Marín–García et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Individuals considered resilient can overcome adversity, achieving normal physical and psychological development, while those deemed vulnerable may not. Adversity promotes structural and functional alterations in the medial prefrontal cortex (mPFC) and hippocampus. Moreover, activity-dependent synaptic plasticity is intricately linked to neuronal shaping resulting from experiences. We hypothesize that this plasticity plays a crucial role in resilience processes. However, there is a notable absence of studies investigating this plasticity and behavioral changes following social adversity at different life stages. Consequently, we evaluated the impact of social adversity during early postnatal development (maternal separation [MS]), adulthood (social defeat [SD]), and a combined exposure (MS + SD) on behavioral outcomes (anxiety, motivation, anhedonia, and social interaction). We also examined cFos expression induced by social interaction in mPFC and hippocampus of adult male rats. Behavioral analyses revealed that SD-induced anhedonia, whereas MS + SD increased social interaction and mitigated SD-induced anhedonia. cFos evaluation showed that social interaction heightened plasticity in the prelimbic (PrL) and infralimbic (IL) cortices, dentate gyrus (DG), CA3, and CA1. Social interaction-associated plasticity was compromised in IL and PrL cortices of the MS and SD groups. Interestingly, social interaction-induced plasticity was restored in the MS + SD group. Furthermore, plasticity was impaired in DG by all social stressors, and in CA3 was impaired by SD. Our findings suggest in male rats (i) two adverse social experiences during development foster resilience; (ii) activity-dependent plasticity in the mPFC is a foundation for resilience to social adversity; (iii) plasticity in DG is highly susceptible to social adversity., (© 2024 The Author(s). Journal of Neuroscience Research published by Wiley Periodicals LLC.)

Brain dynamics is highly non-stationary, permanently subject to ever-changing external conditions and continuously monitoring and adjusting internal control mechanisms. Finding stationary structures in this system, as has been done recently, is therefore of great importance for understanding fundamental dynamic trade relationships. Here we analyse electroencephalographic recordings (EEG) of 13 subjects with unresponsive wakefulness syndrome (UWS) during rest and while being influenced by different acoustic stimuli. We compare the results with a control group under the same experimental conditions and with clinically healthy subjects during overnight sleep. The main objective of this study is to investigate whether a stationary correlation pattern is also present in the UWS group, and if so, to what extent this structure resembles the one found in healthy subjects. Furthermore, we extract transient dynamical features via specific deviations from the stationary interrelation pattern. We find that (i) the UWS group is more heterogeneous than the two groups of healthy subjects, (ii) also the EEGs of the UWS group contain a stationary cross-correlation pattern, although it is less pronounced and shows less similarity to that found for healthy subjects and (iii) deviations from the stationary pattern are notably larger for the UWS than for the two groups of healthy subjects. The results suggest that the nervous system of subjects with UWS receive external stimuli but show an overreaching reaction to them, which may disturb opportune information processing., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Apablaza-Yevenes et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Abstract: Previous studies have described synchronic electroencephalographic (EEG) patterns of the background activity that is characteristic of several vigilance states., Study Objectives: To explore whether the background synchronous activity of the amygdala-hippocampal-neocortical circuit is modified during sleep in the delta, theta, alpha, sigma, beta, and gamma bands characteristic of each sleep state., Methods: By simultaneously recording intracranial and noninvasive scalp EEG (10-20 system) in epileptic patients who were candidates for neurosurgery, we explored synchronous activity among the amygdala, hippocampus, and neocortex during wakefulness (W), Non-Rapid Eye Movement (NREM), and Rapid-Eye Movement (REM) sleep., Results: Our findings reveal that hippocampal-cortical synchrony in the sleep spindle frequencies was spread across the cortex and was higher during NREM versus W and REM, whereas the amygdala showed punctual higher synchronization with the temporal lobe. Contrary to expectations, delta synchrony between the amygdala and frontal lobe and between the hippocampus and temporal lobe was higher during REM than NREM. Gamma and alpha showed higher synchrony between limbic structures and the neocortex during wakefulness versus sleep, while synchrony among deep structures showed a mixed pattern. On the one hand, amygdala-hippocampal synchrony resembled cortical activity (i.e. higher gamma and alpha synchrony in W); on the other, it showed its own pattern in slow frequency oscillations., Conclusions: This is the first study to depict diverse patterns of synchronic interaction among the frequency bands during distinct vigilance states in a broad human brain circuit with direct anatomical and functional connections that play a crucial role in emotional processes and memory., (© The Author(s) 2022. Published by Oxford University Press on behalf of Sleep Research Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Epidemiological studies consistently show a male predominance in obstructive sleep apnea (OSA). Hormonal differences, breathing control, upper airway anatomy and fat distribution have been proposed as causes of gender differences in OSA. Clinical manifestations are accentuated in men, although white matter structural integrity is affected in women. To the best of our knowledge, no previous studies have explored gender differences in the electrical brain activity features of OSA. Polysomnography was performed on 43 patients with untreated OSA (21 women, 22 men), and power spectral density (1-50 Hz) was compared between groups across sleep and wakefulness at two levels of OSA severity. Severe versus moderate OSA showed decreased power for fast frequencies (25-29 Hz) during wakefulness. OSA men displayed decreased power of a large frequency range (sigma, beta and gamma) during sleep compared with women. Comparisons of men with severe versus moderate OSA presented significantly decreased sigma power during non-rapid eye movement (NREM) sleep, but significantly increased delta activity during REM sleep. Meanwhile, women with severe versus moderate OSA showed no significant power differences in any condition. These findings indicated a different evolution of brain oscillations between OSA men and women with significant impairment of brain activity related to cognitive processes. Our study emphasizes the importance of understanding the differential effects of sleep disorders on men and women in order to develop more precise diagnostic criteria according to gender, including quantitative electroencephalogram (EEG) analysis tools., (© 2020 European Sleep Research Society.)

Objective: The aim of the present work was to characterize the dynamics of the human amygdala across the different sleep stages and during wakefulness., Methods: Simultaneous intracranial electrical recordings of the amygdala, hippocampus, and scalp electroencephalography during spontaneous sleep polysomnography in four patients suffering from epilepsy were analyzed., Results: Power spectrum of the amygdala revealed no differences between rapid eye movement (REM) and wakefulness for all frequencies except higher power at 9 Hz during wakefulness and some low Gamma frequencies. Conversely, higher power was observed in non-REM (NREM) sleep than wakefulness for Delta, Theta and Sigma., Conclusions: Our results showed similar activity in the amygdala between wakefulness and REM sleep suggesting that the amygdala is as active in REM as during wakefulness. The higher power in Sigma frequencies during NREM sleep suggests that amygdala slow activity may play a significant role during NREM in concurrence with hippocampal activity., Significance: While studies have described the metabolic activity of the human amygdala during sleep, our results show the corresponding electrical pattern during the whole night, pointing out an increase of slow activity during NREM sleep that might be subjected to similar influences as other subcortical brain structures, such as the hippocampus., (Copyright © 2018 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.)

There is an increasing interest in combining different imaging modalities to investigate the relationship between neural and biochemical activity. More specifically, imaging techniques like MRS and PET that allow for biochemical measurement are combined with techniques like fMRI and EEG that measure neural activity in different states. Such combination of neural and biochemical measures raises not only technical issues, such as merging the different data sets, but also several methodological issues. These methodological issues – ranging from hypothesis generation and hypothesis-guided use of technical facilities to target measures and experimental measures – are the focus of this paper. We discuss the various methodological problems and issues raised by the combination of different imaging methodologies in order to investigate neuro-biochemical relationships on a regional level in humans. For example, the choice of transmitter and scan type is discussed, along with approaches to allow the establishment of particular specificities (such as regional or biochemical) to in turn make results fully interpretable. An algorithm that can be used as a form of checklist for designing such multimodal studies is presented. The paper concludes that while several methodological and technical caveats needs to be overcome and addressed, multimodal imaging of the neuro-biochemical relationship provides an important tool to better understand the physiological mechanisms of the human brain.