Rational designing of oscillatory rhythmicity for memory rescue in plasticity-impaired learning networks

Li, Kwan Tung; He, Xingzhi; Zhou, Guozhong; Yang, Jing; Li, Tao; Hu, Hailan; Ji, Daoyun; Zhou, Changsong; Ma, Hongxia

doi:10.1016/j.celrep.2022.110678

Cited by 4 publications

(2 citation statements)

References 94 publications

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“…For example, the variability (CV) of the model is slightly larger than that observed in LFP; the broad peak in ERP and firing rate from monkey LFP do not exactly match in timing; the frequencies of Alpha oscillation in human EEG and monkey LFP do not match. Future studies can use such E–I balanced network as a core model with additional biological details to study more specific information processing associated to the multiple neural response features to external stimulus, such as learning and memory (Li et al 2021b ; Li et al 2022 ).…”

Section: Discussionmentioning

confidence: 99%

Multilevel and multifaceted brain response features in spiking, ERP and ERD: experimental observation and simultaneous generation in a neuronal network model with excitation–inhibition balance

et al. 2022

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Brain as a dynamic system responds to stimulations with specific patterns affected by its inherent ongoing dynamics. The patterns are manifested across different levels of organization—from spiking activity of neurons to collective oscillations in local field potential (LFP) and electroencephalogram (EEG). The multilevel and multifaceted response activities show patterns seemingly distinct and non-comparable from each other, but they should be coherently related because they are generated from the same underlying neural dynamic system. A coherent understanding of the interrelationships between different levels/aspects of activity features is important for understanding the complex brain functions. Here, based on analysis of data from human EEG, monkey LFP and neuronal spiking, we demonstrated that the brain response activities from different levels of neural system are highly coherent: the external stimulus simultaneously generated event-related potentials, event-related desynchronization, and variation in neuronal spiking activities that precisely match with each other in the temporal unfolding. Based on a biologically plausible but generic network of conductance-based integrate-and-fire excitatory and inhibitory neurons with dense connections, we showed that the multiple key features can be simultaneously produced at critical dynamical regimes supported by excitation–inhibition (E–I) balance. The elucidation of the inherent coherency of various neural response activities and demonstration of a simple dynamical neural circuit system having the ability to simultaneously produce multiple features suggest the plausibility of understanding high-level brain function and cognition from elementary and generic neuronal dynamics.

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Section: Discussionmentioning

confidence: 99%

Multilevel and multifaceted brain response features in spiking, ERP and ERD: experimental observation and simultaneous generation in a neuronal network model with excitation–inhibition balance

et al. 2022

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“…These repair and modification processes are energy intensive and will conflict with the high energy demands of neural functioning that occur during wakefulness. Thus, sleep deprivation, sleep apnea, and insomnia, where the wake state is prolonged (and repair impaired), aggravate oxidative stress, neuroinflammation, neurodegeneration, and apoptosis (Besedovsky et al, 2019; Mahalakshmi et al, 2022; Suresh et al, 2021; Villafuerte et al, 2015; Wang & Aton, 2022), and degrades effective cognitive and immune function while sleep is restorative (e.g., Besedovsky et al, 2019; Klinzing et al, 2019; K. T. Li et al, 2022; Raven et al, 2019; Wunderlin et al, 2021).…”

Section: Neuronal Damage Occurs From Activity During Wakefulnessmentioning

confidence: 99%

Dreaming reflects neural resynchronization after sleep-dependent neuroplastic adaptations.

Schulze¹

2023

Dreaming

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Synchronous and coordinated neural electrical activity is essential for proper mental functioning in the wake state. Sleep-dependent neuroplastic repair and adaptation that occur because of oxidative damage, inflammation, learning, and memory formation fostered by wake state experiences alter the finely tuned electrical activity of neurons. Resynchronization after neuroplastic repair and adaptation, but before waking, is needed to redress such adverse effects. These circuit-specific resynchronizations restore the unique sequential activity patterns needed for the diversity of mental functions. Dreaming is the result of neural circuit activations during sleep as part of resynchronization processes. Dream content is explained by the information load of neural circuits that underwent extensive neuroplastic repair and adaptation and that were activated during resynchronization. Neural circuit activation sequences and their combinations during resynchronization determine the narratives and bizarreness of dreams.

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Parvalbumin interneuron cell-to-network plasticity: mechanisms and therapeutic avenues

Hadler,

Alle,

Geiger

2024

Trends in Pharmacological Sciences

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Rational designing of oscillatory rhythmicity for memory rescue in plasticity-impaired learning networks

Cited by 4 publications

References 94 publications

Multilevel and multifaceted brain response features in spiking, ERP and ERD: experimental observation and simultaneous generation in a neuronal network model with excitation–inhibition balance

Multilevel and multifaceted brain response features in spiking, ERP and ERD: experimental observation and simultaneous generation in a neuronal network model with excitation–inhibition balance

Dreaming reflects neural resynchronization after sleep-dependent neuroplastic adaptations.

Parvalbumin interneuron cell-to-network plasticity: mechanisms and therapeutic avenues

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