We computationally study whether it is possible to stimulate a neuronal population in such a way that its mean firing rate increases without an increase of the population's net synchronization. For this, we use coordinated reset (CR) stimulation, which has previously been developed to desynchronize populations of oscillatory neurons. Intriguingly, delivered to a population of predominantly silent FitzHugh-Nagumo or Hindmarsh-Rose neurons at sufficient stimulation amplitudes, CR robustly causes a multi-frequency activation: different Arnold tongues such as 1 : 1 or n : m entrained neuronal clusters emerge, which consist of phase-shifted sub clusters. Owing to the clustering pattern the neurons' timing is well balanced, so that in total there is no synchronization. Our findings may contribute to the development of novel and safe stimulation treatments that specifically counteract cerebral hypo-activity without promoting pathological synchronization or inducing epileptic seizures.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3262242 | PMC |
http://dx.doi.org/10.1098/rsfs.2010.0010 | DOI Listing |
BMC Med Genomics
January 2025
Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Background: The growth in obesity and rates of abdominal obesity in developing countries is due to the dietary transition, meaning a shift from traditional, fiber-rich diets to Westernized diets high in processed foods, sugars, and unhealthy fats. Environmental changes, such as improving the quality of dietary fat consumed, may be useful in preventing or mitigating the obesity or unhealthy obesity phenotype in individuals with a genetic predisposition, although this has not yet been confirmed. Therefore, in this study, we investigated how dietary fat quality indices with metabolically healthy obesity (MHO) or metabolically unhealthy obesity (MUO) based on the Karelis criterion interact with genetic susceptibility in Iranian female adults.
View Article and Find Full Text PDFAdv Respir Med
December 2024
Laboratory of Pulmonary and Exercise Immunology (LABPEI), Evangelical University of Goiás (UniEvangélica), Avenida Universitária Km 3,5, Anápolis 75083-515, GO, Brazil.
Beyond the common comorbidities related to obesity, such as type 2 diabetes and cardiovascular diseases, impaired lung function is already known, but whether the fat distribution (sub-cutaneous, visceral) affects the lung function and pulmonary immune response are poorly known. Few evidence has shown that visceral fat is associated with insulin resistance, low-grade inflammation, and reduced lung function. In the present study, the body composition and fat distribution were evaluated by multi-frequency octopolar bioimpedance.
View Article and Find Full Text PDFCureus
November 2024
Obstetrics and Gynecology, Faculty of Medicine Siriraj Hospital, Bangkok, THA.
Objective In this study, we aimed to evaluate the relationship between body fat percentage (BFP) and the risk of gestational diabetes mellitus (GDM). Methods We conducted a cohort study involving 336 singleton pregnant women attending an antenatal care clinic before 14 weeks of gestation. Body composition was measured during their first antenatal visit by using a multi-frequency segmental body composition analyzer.
View Article and Find Full Text PDFIntroduction: Bioelectrical impedance analysis (BIA) systems are gaining popularity for use in research and fitness assessments as the technology improves and becomes more affordable and easier to use. Multifrequency BIA (MF-BIA) may improve accuracy and precision using octopolar contacts for segmental analyses.
Purpose: Evaluate reliability, biological variability, and accuracy of component measures (total body water, mass, and composition) of commercially available MF-BIA system (InBody 770, Cerritos, California, USA).
Front Neurol
December 2024
Department of Psychiatry, Shizuoka Psychiatric Medical Center, Shizuoka, Japan.
Recent studies focusing on neural activity captured by neuroimaging modalities have provided various metrics for elucidating the functional networks and dynamics of the entire brain. Functional magnetic resonance imaging (fMRI) can depict spatiotemporal functional neural networks and dynamic characteristics due to its excellent spatial resolution. However, its temporal resolution is limited.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!