Challenges and Frontiers in Computational Metabolic Psychiatry DOI
Anthony G. Chesebro, Botond Antal, Corey Weistuch

et al.

Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Journal Year: 2024, Volume and Issue: 10(3), P. 258 - 266

Published: Oct. 30, 2024

Language: Английский

Energy balance via memristor synapse in Morris-Lecar two-neuron network with FPGA implementation DOI
Xihong Yu, Han Bao, Mo Chen

et al.

Chaos Solitons & Fractals, Journal Year: 2023, Volume and Issue: 171, P. 113442 - 113442

Published: April 17, 2023

Language: Английский

Citations

57
Brain aging shows nonlinear transitions, suggesting a midlife “critical window” for metabolic intervention DOI Creative Commons
Botond Antal, Helena van Nieuwenhuizen, Anthony G. Chesebro

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2025, Volume and Issue: 122(10)

Published: March 3, 2025

Understanding the key drivers of brain aging is essential for effective prevention and treatment neurodegenerative diseases. Here, we integrate human physiological data to investigate underlying mechanisms. Functional MRI analyses across four large datasets (totaling 19,300 participants) show that networks not only destabilize throughout lifetime but do so along a nonlinear trajectory, with consistent temporal "landmarks" starting in midlife (40s). Comparison metabolic, vascular, inflammatory biomarkers implicate dysregulated glucose homeostasis as driver mechanism these transitions. Correlation between brain's regionally heterogeneous patterns gene expression further supports findings, selectively implicating GLUT4 (insulin-dependent transporter) APOE (lipid transport protein). Notably, MCT2 (a neuronal, glial, ketone emerges potential counteracting factor by facilitating neurons' energy uptake independently insulin. Consistent results, an interventional study 101 participants shows ketones exhibit robust effects restabilizing networks, maximized from ages 40 60, suggesting "critical window" early metabolic intervention.

Language: Английский

Citations

2
Ketosis regulates K+ ion channels, strengthening brain-wide signaling disrupted by age DOI Creative Commons
Helena van Nieuwenhuizen, Anthony G. Chesebro,

Claire Polizu

et al.

Imaging Neuroscience, Journal Year: 2024, Volume and Issue: 2, P. 1 - 14

Published: April 23, 2024

Aging is associated with impaired signaling between brain regions when measured using resting-state fMRI. This age-related destabilization and desynchronization of networks reverses itself the switches from metabolizing glucose to ketones. Here, we probe mechanistic basis for these effects. First, confirmed their robustness across measurement modalities two datasets acquired EEG (

Language: Английский

Citations

5
Synchronization generations and transitions in two map-based neurons coupled with locally active memristor DOI
Jingting Hu, Han Bao, Quan Xu

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 184, P. 114993 - 114993

Published: May 17, 2024

Language: Английский

Citations

5
Dynamics and stability of neural systems with indirect interactions involved energy levels DOI

Yan Shao,

Fuqiang Wu,

Qingyun Wang

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 183, P. 114967 - 114967

Published: May 11, 2024

Language: Английский

Citations

4
Dynamics and conditions for inhibitory synaptic current to induce bursting and spreading depolarization in pyramidal neurons DOI Creative Commons
Hongtao Hua, Huaguang Gu,

Kaihua Ma

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 14, 2025

Enhanced activity of inhibitory neurons, which is often used to suppress behaviors pyramidal neurons treat brain diseases, whereas can enhance spiking a mixed-mode bursting (MMB) in recent experiments on migraine and seizure. The MMB contains phase with high level membrane potential/extracellular potassium concentration ([K+]o), propagate form spreading depolarization (SD) wave. Different from the common view that MMB/SD induced by enhanced positive effect or [K+]o, present paper, dynamics conditions for uncommon evoked synaptic current are obtained theoretical model. Firstly, addition well-known threshold across effect, neuron exhibits novel negative low [K+]o MMB. A long strong stimulation suppresses silence via saddle-node bifurcation an invariant circle at first then run threshold, triggering feedback potential levels enough, resulting Secondly, coupling model, interneuron conductance synapse, neuron, favorable Then, reducing these activities parameters measures prevent Finally, network induce SD results explanation MMB/SD, counterintuitive function interneuron, diseases.

Language: Английский

Citations

0
Achieving Occam’s razor: Deep learning for optimal model reduction DOI Creative Commons

Botond B. Antal,

Anthony G. Chesebro, Helmut H. Strey

et al.

PLoS Computational Biology, Journal Year: 2024, Volume and Issue: 20(7), P. e1012283 - e1012283

Published: July 18, 2024

All fields of science depend on mathematical models. Occam’s razor refers to the principle that good models should exclude parameters beyond those minimally required describe systems they represent. This is because redundancy can lead incorrect estimates model from data, and thus inaccurate or ambiguous conclusions. Here, we show how deep learning be powerfully leveraged apply parameters. Our method, FixFit, uses a feedforward neural network with bottleneck layer characterize predict behavior given its input FixFit has three major benefits. First, it provides metric quantify original model’s degree complexity. Second, allows for unique fitting data. Third, an unbiased way discriminate between experimental hypotheses add value versus do not. In use cases, demonstrate broad applicability this method across scientific domains. To validate using known system, recover composite Kepler orbit dynamic blood glucose regulation. latter, ability fit latent real illustrate applied less well-established fields, identify multi-scale brain reduce search space viable candidate mechanisms.

Language: Английский

Citations

3
Quasi-Periodicity at Transition from Spiking to Bursting in the Pernarowski Model of Pancreatic Beta Cells DOI

Haniyeh Fallah,

Andrey Shilnikov

Regular and Chaotic Dynamics, Journal Year: 2024, Volume and Issue: 29(1), P. 100 - 119

Published: Jan. 1, 2024

Language: Английский

Citations

1
Ketosis regulates K+ion channels, strengthening brain-wide signaling disrupted by age DOI Creative Commons
Helena van Nieuwenhuizen, Anthony G. Chesebro,

Claire Polizu

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: May 11, 2023

Abstract Aging is associated with impaired signaling between brain regions when measured using resting-state fMRI. This age-related destabilization and desynchronization of networks reverses itself the switches from metabolizing glucose to ketones. Here, we probe mechanistic basis for these effects. First, established their neuronal two datasets acquired EEG ( Lifespan: standard diet, 20-80 years, N = 201; Metabolic: individually weight-dosed calorically-matched ketone ester challenge, μ age 26.9 ± 11.2 36). Then, multi-scale Larter-Breakspear neural mass model, identified unique set parameters consistent our clinical data. Together, results implicate potassium (K + ) gradient dysregulation as a mechanism its reversal ketosis, latter finding which direct measurement ion channels.

Language: Английский

Citations

1
Challenges and Frontiers in Computational Metabolic Psychiatry DOI
Anthony G. Chesebro, Botond Antal, Corey Weistuch

et al.

Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Journal Year: 2024, Volume and Issue: 10(3), P. 258 - 266

Published: Oct. 30, 2024

Language: Английский

Citations

0