State-dependent modulation of thalamocortical oscillations by gamma light flicker with different frequencies, intensities, and duty cycles DOI Creative Commons
Kun Wang,

Aili Wei,

Yu Fu

et al.

Frontiers in Neuroinformatics, Journal Year: 2022, Volume and Issue: 16

Published: Aug. 23, 2022

Rhythmic light flickers have emerged as useful tools to modulate cognition and rescue pathological oscillations related neurological disorders by entrainment. However, a mechanistic understanding of the entrainment for different brain oscillatory states flicker parameters is lacking. To address this issue, we proposed biophysical neural network model thalamocortical (TCOs) explored stimulation effects depending on (frequency, intensity, duty cycle) using electrophysiology experiments. The generated alpha, beta, gamma (with main oscillation frequences at 9, 25, 35 Hz, respectively), which were successfully transmitted from thalamus cortex. By applying stimulation, found that was state-dependent it more prone induce if perturbation frequency closer endogenous frequency. In addition, would be accelerated, whereas low-frequency power suppressed (30-50 Hz) flickers. Notably, intensity cycle complex; high did not mean possibility, cycles below 50% could easier than those above 50%. Further, observed discontinuity during stimulations with frequencies, attributable non-linear characteristics oscillations. These results provide support experimental design clinical applications modulation TCOs flicker.

Language: Английский

Perspectives on adaptive dynamical systems DOI Creative Commons
Jakub Sawicki, Rico Berner, Sarah A. M. Loos

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2023, Volume and Issue: 33(7)

Published: July 1, 2023

Adaptivity is a dynamical feature that omnipresent in nature, socio-economics, and technology. For example, adaptive couplings appear various real-world systems, such as the power grid, social, neural networks, they form backbone of closed-loop control strategies machine learning algorithms. In this article, we provide an interdisciplinary perspective on systems. We reflect notion terminology adaptivity different disciplines discuss which role plays for fields. highlight common open challenges give perspectives future research directions, looking to inspire approaches.

Language: Английский

Citations

32
Decoupling of interacting neuronal populations by time-shifted stimulation through spike-timing-dependent plasticity DOI Creative Commons
Mojtaba Madadi Asl, Alireza Valizadeh, Peter A. Tass

et al.

PLoS Computational Biology, Journal Year: 2023, Volume and Issue: 19(2), P. e1010853 - e1010853

Published: Feb. 1, 2023

The synaptic organization of the brain is constantly modified by activity-dependent plasticity. In several neurological disorders, abnormal neuronal activity and pathological connectivity may significantly impair normal function. Reorganization circuits therapeutic stimulation has potential to restore dynamics. Increasing evidence suggests that temporal pattern crucially determines long-lasting effects stimulation. Here, we tested whether a specific can enable suppression pathologically strong inter-population through spike-timing-dependent plasticity (STDP). More specifically, how introducing time shift between stimuli delivered two interacting populations neurons effectively decouple them. To end, first used tractable model, i.e., bidirectionally coupled leaky integrate-and-fire (LIF) neurons, theoretically analyze optimal range frequency for decoupling. We then extended our results reciprocally connected (modules) where delayed connections were STDP. As predicted theoretical results, appropriately time-shifted causes decoupling two-module system STDP, unlearning interactions populations. Based on overall topology connections, modules, in turn, desynchronization outlasts cessation Decoupling be realized burst as well continuous simulation. Our provide insight into further optimization variety multichannel protocols aiming at reshaping diseased networks.

Language: Английский

Citations

21
Neuroplasticity in Parkinson’s disease DOI Creative Commons
Bogdan Ovidiu Popescu, Lucia Batzu, Pedro Ruiz

et al.

Journal of Neural Transmission, Journal Year: 2024, Volume and Issue: 131(11), P. 1329 - 1339

Published: Aug. 5, 2024

Parkinson's disease (PD) is the second most frequent neurodegenerative disorder, affecting millions of people and rapidly increasing over last decades. Even though there no intervention yet to stop pathology, many efficient treatment methods are available, including for patients with advanced PD. Neuroplasticity a fundamental property human brain adapt both external changes internal insults pathological processes. In this paper we examine current knowledge concepts concerning at network level, cellular level molecular as parts neuroplastic response protein aggregation synapse loss neuronal in We analyse beneficial, compensatory effects, such augmentation nigral neurons efficacy, well negative, maladaptive levodopa-induced dyskinesia. Effects physical activity different treatments on neuroplasticity considered opportunity biomarkers identification use discussed.

Language: Английский

Citations

8
Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity DOI Open Access
Benoit Duchet, Christian Bick, Áine Byrne

et al.

Neural Computation, Journal Year: 2023, Volume and Issue: 35(9), P. 1481 - 1528

Published: July 12, 2023

Understanding the effect of spike-timing-dependent plasticity (STDP) is key to elucidating how neural networks change over long timescales and design interventions aimed at modulating such in neurological disorders. However, progress restricted by significant computational cost associated with simulating network models STDP lack low-dimensional description that could provide analytical insights. Phase-difference-dependent (PDDP) rules approximate phase oscillator networks, which prescribe synaptic changes based on differences neuron pairs rather than spike timing. Here we construct mean-field approximations for describe part space this very high-dimensional system. We first show single-harmonic PDDP can a simple form symmetric STDP, while multiharmonic are required accurately causal STDP. then derive exact expressions evolution average coupling weight terms synchrony. For adaptive Kuramoto oscillators clusters, formulate family descriptions dynamics each cluster weights between within clusters. Finally, two-cluster model be fitted synthetic data approximation full Our framework represents step toward example inform development new therapies maximizing long-lasting effects brain stimulation.

Language: Английский

Citations

11
Neural underpinnings of fine motor skills under stress and anxiety: A review DOI
Lucas Athaydes Martins, Aniuska Schiavo, Lisiê Valéria Paz

et al.

Physiology & Behavior, Journal Year: 2024, Volume and Issue: 282, P. 114593 - 114593

Published: May 22, 2024

Language: Английский

Citations

4
Entrainment by transcranial alternating current stimulation: Insights from models of cortical oscillations and dynamical systems theory DOI
Mojtaba Madadi Asl, Alireza Valizadeh

Physics of Life Reviews, Journal Year: 2025, Volume and Issue: 53, P. 147 - 176

Published: March 14, 2025

Language: Английский

Citations

0
Information entropy dynamics, self-organization, and cybernetical neuroscience DOI Creative Commons
Аlexander L. Fradkov

Frontiers in Network Physiology, Journal Year: 2025, Volume and Issue: 5

Published: March 21, 2025

A version of the speed-gradient evolution models for systems obeying maximum information entropy principle developed by H. Haken in his book 1988 is proposed this article. An explicit relation specifying system dynamics general linear constraints established. Two versions human brain detailed balance-breaking model are proposed. In addition, contours a new scientific field called cybernetical neuroscience dedicated to control neural have been outlined.

Language: Английский

Citations

0
Inhibitory Spike-Timing-Dependent Plasticity Can Account for Pathological Strengthening of Pallido-Subthalamic Synapses in Parkinson’s Disease DOI Creative Commons
Mojtaba Madadi Asl, Atefeh Asadi,

Jamil Enayati

et al.

Frontiers in Physiology, Journal Year: 2022, Volume and Issue: 13

Published: May 19, 2022

Parkinson’s disease (PD) is a neurodegenerative brain disorder associated with dysfunction of the basal ganglia (BG) circuitry. Dopamine (DA) depletion in experimental PD models leads to pathological strengthening pallido-subthalamic synaptic connections, contributing emergence abnormally synchronized neuronal activity external segment globus pallidus (GPe) and subthalamic nucleus (STN). Augmented GPe-STN transmission following loss DA was attributed heterosynaptic plasticity mechanisms induced by cortico-subthalamic inputs. However, may play role this process. Here, employing computational modeling we show that assuming inhibitory spike-timing-dependent (iSTDP) at synapses can account for further promoting correlated network. In addition, delays shape bistable activity-connectivity states due iSTDP, characterized strong connectivity (pathological states) as opposed weak desynchronized (physiological states). Our results shed light on how abnormal reshaping during parkinsonism related pathophysiology contribute development therapeutic stimulation techniques targeting plasticity-induced rewiring network connectivity.

Language: Английский

Citations

17
Musician’s dystonia: a perspective on the strongest evidence towards new prevention and mitigation treatments DOI Creative Commons
Joy Grifoni, Valeria Crispiatico, Anna Castagna

et al.

Frontiers in Network Physiology, Journal Year: 2025, Volume and Issue: 4

Published: Jan. 22, 2025

This perspective article addresses the critical and up-to-date problem of task-specific musician’s dystonia (MD) from both theoretical practical perspectives. Theoretically, MD is explored as a result impaired sensorimotor interplay across different brain circuits, supported by most frequently cited scientific evidence—each referenced dozens times in Scopus. Practically, significant issue it occurs over 60 more musicians compared to other professions, underscoring influence individual training well environmental, social, emotional factors. To address these challenges, we propose novel application FeeSyCy principle (feedback-synchrony-plasticity), which emphasizes pivotal role feedback guiding inter-neuronal synchronization plasticity—the foundation learning memory. model integrates with established literature form comprehensive framework for understanding an FeeSyCy-mediated relationship between their environment, ultimately leading trauma. The proposed approach provides advantages enabling development innovative therapeutic preventive strategies. Specifically, lays groundwork multimodal psycho-physical therapies aimed at restoring balance neural circuits affected MD. These strategies include personalized psychotherapy combined physical rehabilitation psychological physiological dimensions integration offers value-added solution this pressing problem, potential broad applicability similar conditions.

Language: Английский

Citations

0
Rhythmic modulation of subthalamo-pallidal interactions depends on synaptic rewiring through inhibitory plasticity DOI Creative Commons
Mojtaba Madadi Asl, Caroline Lea‐Carnall

Physical Review Research, Journal Year: 2025, Volume and Issue: 7(2)

Published: May 9, 2025

Aberrant oscillatory activity is a hallmark of several brain disorders including Parkinson's disease (PD). Specifically, interactions between neurons the subthalamic nucleus (STN) and globus pallidus externus (GPe) may contribute to emergence maintenance overly synchronized beta-band (15–30 Hz) oscillations be associated with motor symptoms PD. Excessive beta synchrony can mitigated by pharmacological intervention deep stimulation (DBS). Alternatively, strategies that aim selectively modulate interpopulation connections have therapeutic potential. Here, we tested computationally whether dual targeting STN GPe time-shifted pathologically strong synapses through inhibitory spike-timing-dependent plasticity. More specifically, examined how paired stimuli delivered lead synaptic rewiring. To end, first theoretically analyzed optimal range time shift frequency for effective Then, as minimal model generating in healthy PD conditions, considered STN-GPe loop biologically inspired parameters. Time-shifted modified long-lasting This ultimately caused desynchronizing aftereffects, resulting reduced coupling network restoration dynamics. Our findings demonstrate critical role neuroplasticity shaping effects optimization variety multisite paradigms aimed at reshaping dysfunctional networks Published American Physical Society 2025

Language: Английский

Citations

0