김재경 교수

Abstract Systems consolidation—a process for long-term memory stabilization—has been hypothesized to occur in two stages 1–4 . Whereas new memories require the hippocampus 5–9 , they become integrated into cortical networks over time 10–12 , making them independent of the hippocampus. How hippocampal–cortical dialogue precisely evolves during this and how cortical representations change in concert is unknown. Here, we use a skill learning task 13,14 to monitor the dynamics of cross-area coupling

Although fast-scan cyclic voltammetry (FSCV) has been widely used for in vivo neurochemical detection, the sensitivity and selectivity of the technique can be further improved. In this study, we develop fast cyclic square-wave voltammetry (FCSWV) as a novel voltammetric technique that combines large-amplitude cyclic square-wave voltammetry (CSWV) with background subtraction. A large-amplitude, square-shaped potential was applied to induce cycling through multiple redox reactions within a square

Sleep is known to promote recovery after stroke. Yet it remains unclear how stroke affects neural processing during sleep. Using an experimental stroke model in rats along with electrophysiological monitoring of neural firing and sleep microarchitecture, here we show that sleep processing is altered by stroke. We find that the precise coupling of spindles to global slow oscillations (SOs), a phenomenon that is known to be important for memory consolidation, is disrupted by a pathological increas

Dysregulation of the neurotransmitter dopamine (DA) is implicated in several neuropsychiatric conditions. Multiple-cyclic square-wave voltammetry (MCSWV) is a state-of-the-art technique for measuring tonic DA levels with high sensitivity (<5 nM), selectivity, and spatiotemporal resolution. Currently, however, analysis of MCSWV data requires manual, qualitative adjustments of analysis parameters, which can inadvertently introduce bias. Here, we demonstrate the development of a computational techn

Sleep is known to drive the consolidation of motor memories. During nonrapid eye movement (NREM) sleep, the close temporal proximity between slow oscillations (SOs) and spindles ("nesting" of SO-spindles) is known to be essential for consolidation, likely because it is closely associated with the reactivation of awake task activity. Interestingly, recent work has found that spindles can occur in temporal clusters or "trains." However, it remains unclear how spindle trains are related to the nest

Stroke disrupts movement control by damaging descending motor pathways, yet the cortical dynamics underlying recovery remain poorly defined. Using a non-human primate model of primary motor cortex injury with impaired reach-to-grasp control, we examined how dorsal premotor cortex (PMd) activity supports recovery. Specifically, we studied the interaction between beta activity (12-30 Hz), often linked to "idle" states, and execution-related ensemble co-firing quantified with dimensionality reducti

Memory consolidation transforms newly acquired experiences into stable long-term memories essential for learning and cognition. This process involves systems consolidation, where memory traces are reorganized across brain regions, and synaptic consolidation, which fine-tunes local neural connections. Sleep plays a critical role in both, coordinating memory reactivation, synaptic remodeling, and long-range neural communication. Systems consolidation is supported by stagespecific brain oscillation

This research was performed to investigate the expression patterns of odorant-binding proteins (OBPs) migrating hydrophobic semiochemicals such as pheromone to the olfactory receptors in a termite (Reticulitermes speratus). Antennas and legs were cut from soldier and worker termites, respectively, and RT-PCR were conducted to investigate the existence of the OBPs reported up to now. Blast search suggested that the OBPs obtained were highly homologues of the OBPs reported. In worker termites, OBP

These are the produced data used in the publication of Kim et al., Nature, 2022 (https://doi.org/10.1038/s41586-022-05533-z). <br> These were analyzed on Matlab 2021a and, thus, provided with the mat file format. <br> For further questions, please contact the lead contact of the publications or the first author Jaekyung Kim (jaekyung.kim@ucsf.edu). <strong>-------------------- Description about dataset</strong> The number of animals = 6 rats (Animal 1 - Animal 6). Single mat file is for a single

ABSTRACT Sleep is known to be important for promoting recovery after brain injuries such as stroke. Yet, it remains unclear how such injuries affect neural processing during sleep and how to precisely enhance sleep-dependent memory processing during recovery. Using an experimental model of focal cortical stroke in rats along with long-term electrophysiological monitoring of neural firing and sleep microarchitecture, here we show that sleep-dependent neural processing is altered after stroke indu

These are the produced data used in the publication of Kim et al., Nature, 2022 (https://doi.org/10.1038/s41586-022-05533-z). <br> These were analyzed on Matlab 2021a and, thus, provided with the mat file format. <br> For further questions, please contact the lead contact of the publications or the first author Jaekyung Kim (jaekyung.kim@ucsf.edu). <strong>-------------------- Description about dataset</strong> The number of animals = 6 rats (Animal 1 - Animal 6). Single mat file is for a single

The brain exhibits remarkable plasticity across various learning and memory tasks, as well as during recovery from injury.Leveraging this inherent plasticity through brain stimulation presents a promising avenue for treating neural disorders.To implement such treatments effectively, advanced engineering tools and a comprehensive understanding of how stimulation-induced plasticity influences network dynamics and connectivity at a large scale are crucial.We have developed innovative large-scale in