Publications by authors named "Ki-Soo Jeong"

Article Synopsis
  • Brain resection can help some patients with drug-resistant epilepsy, but many still experience seizures post-surgery, creating a need for better prediction tools.
  • Research indicates that analyzing the brain's activity just before and after a seizure can help in predicting outcomes for patients.
  • A study using machine learning on scalp EEG data from 294 patients shows high accuracy in predicting seizure outcomes, suggesting that this method could significantly reduce the number of failed surgeries.
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Enhancing the efficacy of spinal cord stimulation (SCS) is needed to alleviate the burden of chronic pain and dependence on opioids. Present SCS therapies are characterized by the delivery of constant stimulation in the form of trains of tonic pulses (TPs). We tested the hypothesis that modulated SCS using novel time-dynamic pulses (TDPs) leads to improved analgesia and compared the effects of SCS using conventional TPs and a collection of TDPs in a rat model of neuropathic pain according to a longitudinal, double-blind, and crossover design.

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The attenuation coefficient has proven to be a useful tool in numerous biological applications, but accurate calculation is dependent on the characterization of the confocal effect. This study presents a method to precisely determine the confocal effect and its focal plane within a sample by examining the ratio of two optical coherence tomography (OCT) images. The method can be employed to produce a single-value estimate, or a 2D map of the focal plane accounting for the curvature or tilt within the sample.

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Many genes that affect replicative lifespan (RLS) in the budding yeast Saccharomyces cerevisiae also affect aging in other organisms such as C. elegans and M. musculus.

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Dietary restriction (DR) increases lifespan and attenuates age-related phenotypes in many organisms; however, the effect of DR on longevity of individuals in genetically heterogeneous populations is not well characterized. Here, we describe a large-scale effort to define molecular mechanisms that underlie genotype-specific responses to DR. The effect of DR on lifespan was determined for 166 single gene deletion strains in Saccharomyces cerevisiae.

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There is growing evidence that stochastic events play an important role in determining individual longevity. Studies in model organisms have demonstrated that genetically identical populations maintained under apparently equivalent environmental conditions display individual variation in life span that can be modeled by the Gompertz-Makeham law of mortality. Here, we report that within genetically identical haploid and diploid wild-type populations, shorter-lived cells tend to arrest in a budded state, while cells that arrest in an unbudded state are significantly longer-lived.

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Article Synopsis
  • Chronological aging in budding yeast cells decreases their replicative lifespan, but the exact reasons behind this are still unclear.
  • Dietary restriction during chronological aging can delay the decline in replicative lifespan for at least 23 days.
  • Cells aged 26 days with the lowest mitochondrial membrane potential surprisingly have the longest replicative lifespan, highlighting the importance of mitochondrial function in aging.
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Chronological and replicative aging have been studied in yeast as alternative paradigms for post-mitotic and mitotic aging, respectively. It has been known for more than a decade that cells of the S288C background aged chronologically in rich medium have reduced replicative lifespan relative to chronologically young cells. Here we report replication of this observation in the diploid BY4743 strain background.

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