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The cellular electrical signals of living organisms were discovered more than a century ago and have been extensively investigated in the neuromuscular system. Neuronal depolarization and hyperpolarization are essential for our neuromuscular physiological and pathological functions. Bioelectricity is being recognized as an ancient, intrinsic, fundamental property of all living cells, and it is not limited to the neuromuscular system.

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The transcriptional response of cortical neurons to concussion reveals divergent fates after injury.

Nat Commun

January 2025

Unit on the Development of Neurodegeneration, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.

Traumatic brain injury (TBI) is a risk factor for neurodegeneration, however little is known about how this kind of injury alters neuron subtypes. In this study, we follow neuronal populations over time after a single mild TBI (mTBI) to assess long ranging consequences of injury at the level of single, transcriptionally defined neuronal classes. We find that the stress-responsive Activating Transcription Factor 3 (ATF3) defines a population of cortical neurons after mTBI.

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rTMS improves cognitive function and its real-time and cumulative effect on neuronal excitability in aged mice.

Brain Res

January 2025

Key Laboratory of Digital Medical Engineering of Hebei Province, College of Electronic & Information Engineering, Hebei University, Baoding, Hebei 071002, PR China. Electronic address:

Repetitive transcranial magnetic stimulation (rTMS) is acknowledged for its critical role in modulating neuronal excitability and enhancing cognitive function. The dentate gyrus of the hippocampus is closely linked to cognitive processes; however, the precise mechanisms by which changes in its excitability influence cognition are not yet fully understood. This study aimed to elucidate the effects on granule cell excitability and the effects on cognition of high-frequency rTMS in naturally aging mice, as well as to investigate the potential interactions between these two factors.

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A multi-domain feature fusion epilepsy seizure detection method based on spike matching and PLV functional networks.

J Neural Eng

January 2025

Hangzhou Dianzi University, School of Automation, Hangzhou Dianzi University, Hangzhou 310052, China, Hangzhou, Zhejiang, 310018, CHINA.

The identification of spikes, as a typical characteristic wave of epilepsy, is crucial for diagnosing and locating the epileptogenic region. The traditional seizure detection methods lack spike features and have low sample richness. This paper proposes a seizure detection method with spike-based phase locking value (PLV) functional brain networks and multi-domain fused features.

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Response preparation is accomplished by gradual accumulation in neural activity until a threshold is reached. In humans, such a preparatory signal, referred to as the lateralized readiness potential, can be observed in the EEG over sensorimotor cortical areas before execution of a voluntary movement. Although well-described for manual movements, less is known about preparatory EEG potentials for saccadic eye movements in humans and nonhuman primates.

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