Long-term anti-kindling effects of desynchronizing brain stimulation: a theoretical study
Abstract
In a modeling study we show that desynchronization stimulation may have powerful anti-kindling effects. For this, we incorporate spike-timing-dependent plasticity into a generic network of coupled phase oscillators, which serves as a model network of synaptically interacting neurons. Two states may coexist under spontaneous conditions: a state of uncorrelated firing and a state of pathological synchrony. Appropriate stimulation protocols make the network learn or unlearn the pathological synaptic interactions, respectively. Low-frequency periodic pulse train stimulation causes a kindling. Permanent high-frequency stimulation, used as golden standard for deep brain stimulation in medically refractory movement disorders, basically freezes the synaptic weights. In contrast, desynchronization stimulation, e.g., by means of a multi-site coordinated reset, has powerful long-term anti-kindling effects and enables the network to unlearn pathologically strong synaptic interactions. We propose desynchronization stimulation for the therapy of movement disorders and epilepsies.
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The involvement of a given structure in a pacemaker circuit opens up the possibility of targeting specific instances in the cycle (i.e. phases) of pathological neural oscillations to more efficiently promote clinically significant tremor control.
“The distinction between these different functions is potentially important, as the involvement of a given structure in a pacemaker circuit opens up the possibility of targeting specific instances in the cycle (i.e. phases) of pathological neural oscillations to more efficiently promote clinically significant tremor control (Tass and Majtanik, 2006; Brittain et al., 2013; Cagnan et al., 2013).”
From The nature of tremor circuits in parkinsonian and essential tremor (2014) · cites this paper as Tass and Majtanik, 2006
Cites
The Geometry of Biological Time
Winfree, A. T. (1980) · doi:10.1007/978-3-662-22492-2 · Cited by 3,613 · see citing works
Synaptic plasticity: taming the beast
Abbott, L. F., & Nelson, S. B. (2000) · Nature Neuroscience · doi:10.1038/81453 · Cited by 2,263 · cited 3× · see citing works
“…modeled by Kpre,post = { αp e t/τp t ≤ 0 −αd e − t/τd t > 0 (3) where αp is the learning rate during the potentiation of the synaptic weight for negative t , whereas αd is the learning rate during synaptic depression for positive t (Abbott and Nelson 2000; Izhikevich et al. 2004; Song et al. 2000).”
BackgroundBergman, H., Feingold, A., Nini, A., Raz, A., Slovin, H., Abeles, M., & Vaadia, E. (1998) · Trends in Neurosciences · doi:10.1016/s0166-2236(97)01151-x · Cited by 630 · see citing works
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The nature of tremor circuits in parkinsonian and essential tremor
Cagnan, H., Little, S., Foltynie, T., Limousin, P., Zrinzo, L., Hariz, M., Cheeran, B., Fitzgerald, J., Green, A. L., Aziz, T., et al. (2014) · Brain · doi:10.1093/brain/awu250 · Cited by 97 · see citing works
“These are techniques that seek to interact with oscillators at the key phases that either promote instantaneous suppression or, over many cycles, change synaptic weights through plasticity (Tass and Majtanik, 2006; Tass et al., 2012; Cagnan et al., 2013).”
BackgroundPhase dependent modulation of tremor amplitude in essential tremor through thalamic stimulation
Cagnan, H., Brittain, J.-S., Little, S., Foltynie, T., Limousin, P., Zrinzo, L., Hariz, M., Joint, C., Fitzgerald, J., Green, A. L., et al. (2013) · Brain · doi:10.1093/brain/awt239 · Cited by 95 · see citing works
Capacitive feedthroughs for medical implants
Grob, S., Tass, P. A., & Hauptmann, C. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00404 · Cited by 3 · see citing works
Self-citation
- Authors
- Tass, P. A., & Majtanik, M.
- Affiliations
- Forschungszentrum Jülich (DE)
- Corresponding author
- Tass, Peter A.
- ORCID
- Tass, Peter A.
- Venue
- Biological Cybernetics
- Published
- 2005-11-12
- Volume
- 94
- Issue
- 1
- Pages
- 58-66
- ISSN
- 0340-1200 (ISSN-L)
- 1432-0770
- OpenAlex
- W2018830020
- Cited by
- 198
- References
- 3
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 11 · 2023: 9 · 2022: 18 · 2021: 15 · 2020: 9 · 2019: 7 · 2018: 10 · 2017: 17 · 2016: 5 · 2015: 14 · 2014: 10 · 2013: 11 · 2012: 10
- FWCI
- 3.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Biological Cybernetics (publishedVersion)
- PubMed (publishedVersion)
- JuSER (Forschungszentrum Jülich) (submittedVersion)
- Topics
- Health Sciences › Medicine › Neurology › Neurological disorders and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Keywords
- kindling, spike-timing-dependent plasticity, phase oscillators, coupled neuron networks, deep brain stimulation, movement disorders, epilepsy, synaptic plasticity
- MeSH terms
- Brain, Cortical Synchronization, Electric Stimulation, Humans, Kindling, Neurologic, Models, Neurological, Models, Theoretical, Neuronal Plasticity, Synapses, Time Factors, Neural Networks, Computer
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