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The role of neuro-inflammation in diverse, acute and chronic brain pathologies is being increasingly recognized. Neuro-inflammation is accompanied by increased levels of both pro- and anti-inflammatory cytokines; these have deleterious as…

Biological Physics · Physics 2014-01-30 Uma Ladiwala , Aseefhali Bankapur , Bhushan Thakur , Chidangil Santhosh , Deepak Mathur

We present a whole-body model of human metabolism that utilizes a system of organs and blood vessels to simulate the enzymatic reactions. The model focuses on key organs, including the brain, heart and lungs, liver, gut, and kidney, as well…

Quantitative Methods · Quantitative Biology 2023-08-01 Jacob Bendsen , Peter Emil Carstensen , Asbjørn Thode Reenberg , Tobias K. S. Ritschel , John Bagterp Jørgensen

Small continuous sensory and mechanical perturbations have often been used to identify properties of the closed-loop neural control of posture and other systems that are approximately linear time invariant. Here we extend this approach to…

Neurons and Cognition · Quantitative Biology 2016-10-31 Tim Kiemel , David Logan , John J. Jeka

Intestinal apoptosis and expression of apoptosis inducers - the cytokines TNFalpha, TGFbeta1 - and the intestinal transcription factor Cdx2, were studied according to two different metabolic and hormonal phases which characterize long-term…

Populations and Evolution · Quantitative Biology 2007-05-23 C. Habold , C. Foltzer-Jourdainne , Y. Le Maho , J. H. Lignot

Because obesity is a risk factor for many serious illnesses such as diabetes, better understandings of obesity and eating disorders have been attracting attention in neurobiology, psychiatry, and neuroeconomics. This paper presents future…

Neurons and Cognition · Quantitative Biology 2011-11-29 Taiki Takahashi

The ability to accurately infer cardiac electrophysiological (EP) properties is key to improving arrhythmia diagnosis and treatment. In this work, we developed a physics-informed neural networks (PINNs) framework to predict how different…

Quantitative Methods · Quantitative Biology 2024-11-07 Ching-En Chiu , Arieh Levy Pinto , Rasheda A Chowdhury , Kim Christensen , Marta Varela

Background and Purpose: This study was designed to compare the effects of high-intensity interval training (HIT) and moderate-intensity continuous training (MOD) on functional recovery and cerebral plasticity during the first 2 weeks…

Neurons and Cognition · Quantitative Biology 2018-02-09 Caroline Pin-Barre , Annabelle Constans , Jeanick Brisswalter , Christophe Pellegrino , Jérôme Laurin

Acute stress alters cognitive performance, yet competing models make divergent predictions regarding the mechanisms, scope, and temporal dynamics of these effects. This large-scale randomized controlled trial tested predications from three…

Neurons and Cognition · Quantitative Biology 2026-01-16 Lisa Weckesser , Charlotte Grosskopf , Benjamin Weber , Selen Soylu , Tanja Endrass , Robert Miller

The cellular energy sensor AMP-activated protein kinase (AMPK) is a metabolic regulator that mediates adaptation to nutritional variations in order to maintain a proper energy balance in cells. We show here that suckling-weaning and…

Tissues and Organs · Quantitative Biology 2020-03-31 Camille Huet , Nadia Boudaba , Bruno Guigas , Benoit Viollet , Marc Foretz

Neuroplasticity, the ability of the nervous system to adapt throughout an organism's lifespan, offers potential as both a biomarker and treatment target for neuropsychiatric conditions. Psychedelics, a burgeoning category of drugs, are…

Sleep is essential for learning and cognition, but the mechanisms by which it stabilizes learning, supports creativity, and manages the energy consumption of networks engaged in post-sleep task have not been yet modelled. During sleep, the…

Neurons in a micro-circuit connected by chemical synapses can have their connectivity affected by the prior activity of the cells. The number of synapses available for releasing neurotransmitter can be decreased by repetitive activation…

Neurons and Cognition · Quantitative Biology 2018-04-09 Elham Bayat Mokhtari , J. Josh Lawrence , Emily F Stone

Standard Spiking Neural Network (SNN) models typically neglect metabolic constraints, treating neurons as energetically unconstrained components. We bridge this gap by implementing a conductance-based leaky integrate-and-fire (gLIF)…

Neurons and Cognition · Quantitative Biology 2025-12-29 Ece Öner , Cenk Denktaş

Diabetic-induced peripheral neuropathy (DPN) is a diabetic late complication. The molecular mechanisms underlying the pathophysiology of nerve damage & sensory loss remain largely unclear. Recently, alterations in metabolic flux have gained…

Cell Behavior · Quantitative Biology 2018-03-20 Daniel Rangel Rojas , Rohini Kuner , Nitin Agarwal

Stroke is a leading cause of disability and death worldwide, with ischemic strokes accounting for nearly 80% of cases. Fewer than 5% of patients receive the sole validated pharmacotherapy, intravenous thrombolysis, highlighting the urgent…

Neurons and Cognition · Quantitative Biology 2025-11-25 Sophie Béraud-Dufour , Ilona Legroux , Thierry Coppola , Patricia Lebrun , Nicolas Blondeau

This essay is presented with two principal objectives in mind: first, to document the prevalence of fractals at all levels of the nervous system, giving credence to the notion of their functional relevance; and second, to draw attention to…

Neurons and Cognition · Quantitative Biology 2010-04-09 Gerhard Werner

We calculate the resistivity associated with an Ising-nematic quantum critical point in the presence of disorder and acoustic phonons in the lattice model. We use the memory-matrix transport theory, which has a crucial advantage compared to…

Strongly Correlated Electrons · Physics 2020-06-26 Lucas E. Vieira , Vanuildo S. de Carvalho , Hermann Freire

Neuropeptide SF (NPSF) is a member of RFamide neuropeptides that play diverse roles in central nervous system. Little is know about the effects of NPSF on brain functions. Antidepressant-like effect of NPSF was studied in modified mice FST.…

Biomolecules · Quantitative Biology 2020-05-29 Masaru Tanaka , Gyula Telegdy

Non-Volatile Memories (NVMs) such as Resistive RAM (RRAM) are used in neuromorphic systems to implement high-density and low-power analog synaptic weights. Unfortunately, an RRAM cell can switch its state after reading its content a certain…

Neural and Evolutionary Computing · Computer Science 2021-06-18 Shihao Song , Twisha Titirsha , Anup Das

Epilepsy is a common neurological disorder characterized by abrupt seizures. Although seizures may appear random, they are often preceded by early warning signs in neural signals, notably, critical slowing down, a phenomenon in which the…

Systems and Control · Electrical Eng. & Systems 2024-11-12 Yuzhen Qin , Marcel van Gerven
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