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

и другие.

Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Год журнала: 2024, Номер 10(3), С. 258 - 266

Опубликована: Окт. 30, 2024

Язык: Английский

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

и другие.

Chaos Solitons & Fractals, Год журнала: 2023, Номер 171, С. 113442 - 113442

Опубликована: Апрель 17, 2023

Язык: Английский

Процитировано

56

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

и другие.

Proceedings of the National Academy of Sciences, Год журнала: 2025, Номер 122(10)

Опубликована: Март 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.

Язык: Английский

Процитировано

2

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

Claire Polizu

и другие.

Imaging Neuroscience, Год журнала: 2024, Номер 2, С. 1 - 14

Опубликована: Апрель 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 (

Язык: Английский

Процитировано

5

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

и другие.

Chaos Solitons & Fractals, Год журнала: 2024, Номер 184, С. 114993 - 114993

Опубликована: Май 17, 2024

Язык: Английский

Процитировано

5

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

Yan Shao,

Fuqiang Wu,

Qingyun Wang

и другие.

Chaos Solitons & Fractals, Год журнала: 2024, Номер 183, С. 114967 - 114967

Опубликована: Май 11, 2024

Язык: Английский

Процитировано

4

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

Botond B. Antal,

Anthony G. Chesebro, Helmut H. Strey

и другие.

PLoS Computational Biology, Год журнала: 2024, Номер 20(7), С. e1012283 - e1012283

Опубликована: Июль 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.

Язык: Английский

Процитировано

3

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

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Март 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.

Язык: Английский

Процитировано

0

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, Год журнала: 2024, Номер 29(1), С. 100 - 119

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

1

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

Claire Polizu

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Май 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.

Язык: Английский

Процитировано

1

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

и другие.

Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Год журнала: 2024, Номер 10(3), С. 258 - 266

Опубликована: Окт. 30, 2024

Язык: Английский

Процитировано

0