Modelling framework for TMS-induced long-term synaptic plasticity.
<p>The Neuron Modeling for TMS (<i>NeMo-TMS</i>) toolbox integrates detailed neuronal models with TMS-induced electric fields, allowing the simulation of cellular and subcellular voltage and calcium responses during single and repetitive TMS pulses [<a href="http://www.plos...
Kaydedildi:
| Yazar: | |
|---|---|
| Diğer Yazarlar: | , , , , , |
| Baskı/Yayın Bilgisi: |
2025
|
| Konular: | |
| Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|
| _version_ | 1849927626287742976 |
|---|---|
| author | Nicholas Hananeia (22683665) |
| author2 | Christian Ebner (1276467) Christos Galanis (15210328) Hermann Cuntz (32618) Alexander Opitz (295799) Andreas Vlachos (47497) Peter Jedlicka (179938) |
| author2_role | author author author author author author |
| author_facet | Nicholas Hananeia (22683665) Christian Ebner (1276467) Christos Galanis (15210328) Hermann Cuntz (32618) Alexander Opitz (295799) Andreas Vlachos (47497) Peter Jedlicka (179938) |
| author_role | author |
| dc.creator.none.fl_str_mv | Nicholas Hananeia (22683665) Christian Ebner (1276467) Christos Galanis (15210328) Hermann Cuntz (32618) Alexander Opitz (295799) Andreas Vlachos (47497) Peter Jedlicka (179938) |
| dc.date.none.fl_str_mv | 2025-11-25T18:42:03Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pcbi.1012295.g001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Modelling_framework_for_TMS-induced_long-term_synaptic_plasticity_/30715013 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Cell Biology Neuroscience Physiology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified results :</ b previous experimental studies objective :</ b methods :</ b like cellular effects conclusion :</ b background :</ b strongly distance dependent scale modeling tools repetitive magnetic stimulation biophysical neuronal models 1 hz protocols successfully modelled plasticity induced synaptic plasticity dependent plasticity model plasticity model dependent spatio scale modelling burst stimulation 5 hz plasticity amplitude distal plasticity term potentiation term changes temporal resolution temporal changes rms ). previously established parameter screening neurons stimulated neuronal dendrites modelling framework mechanisms behind low sensitivity high spatio fully understood detailed prediction dendritic spikes comprehensive module |
| dc.title.none.fl_str_mv | Modelling framework for TMS-induced long-term synaptic plasticity. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>The Neuron Modeling for TMS (<i>NeMo-TMS</i>) toolbox integrates detailed neuronal models with TMS-induced electric fields, allowing the simulation of cellular and subcellular voltage and calcium responses during single and repetitive TMS pulses [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012295#pcbi.1012295.ref034" target="_blank">34</a>]. The direction of the electric field is represented by the vector E. We implement in <i>NeMo-TMS</i> a validated model of a CA1 pyramidal cell with detailed biophysics and reduced morphology, capable of generating realistic dendritic and somatic spikes [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012295#pcbi.1012295.ref035" target="_blank">35</a>,<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012295#pcbi.1012295.ref043" target="_blank">43</a>]. Relative dendritic diameters are depicted. We introduced a unified voltage-dependent 4-pathway (pre- and postsynaptic; LTP and LTD) model of long-term synaptic plasticity (yellow circle with pre- and postsynaptic LTP (+) and LTD(-)), capable of reproducing the frequency-, timing- and location-dependence of synaptic changes [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012295#pcbi.1012295.ref030" target="_blank">30</a>], into the existing <i>NeMo-TMS</i> framework. 128 of plastic excitatory synapses were placed in the morphology.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_6c6882088f6aced4119bf87611af0c98 |
| identifier_str_mv | 10.1371/journal.pcbi.1012295.g001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30715013 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Modelling framework for TMS-induced long-term synaptic plasticity.Nicholas Hananeia (22683665)Christian Ebner (1276467)Christos Galanis (15210328)Hermann Cuntz (32618)Alexander Opitz (295799)Andreas Vlachos (47497)Peter Jedlicka (179938)MedicineCell BiologyNeurosciencePhysiologySpace ScienceBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedresults :</ bprevious experimental studiesobjective :</ bmethods :</ blike cellular effectsconclusion :</ bbackground :</ bstrongly distance dependentscale modeling toolsrepetitive magnetic stimulationbiophysical neuronal models1 hz protocolssuccessfully modelled plasticityinduced synaptic plasticitydependent plasticity modelplasticity modeldependent spatioscale modellingburst stimulation5 hzplasticity amplitudedistal plasticityterm potentiationterm changestemporal resolutiontemporal changesrms ).previously establishedparameter screeningneurons stimulatedneuronal dendritesmodelling frameworkmechanisms behindlow sensitivityhigh spatiofully understooddetailed predictiondendritic spikescomprehensive module<p>The Neuron Modeling for TMS (<i>NeMo-TMS</i>) toolbox integrates detailed neuronal models with TMS-induced electric fields, allowing the simulation of cellular and subcellular voltage and calcium responses during single and repetitive TMS pulses [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012295#pcbi.1012295.ref034" target="_blank">34</a>]. The direction of the electric field is represented by the vector E. We implement in <i>NeMo-TMS</i> a validated model of a CA1 pyramidal cell with detailed biophysics and reduced morphology, capable of generating realistic dendritic and somatic spikes [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012295#pcbi.1012295.ref035" target="_blank">35</a>,<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012295#pcbi.1012295.ref043" target="_blank">43</a>]. Relative dendritic diameters are depicted. We introduced a unified voltage-dependent 4-pathway (pre- and postsynaptic; LTP and LTD) model of long-term synaptic plasticity (yellow circle with pre- and postsynaptic LTP (+) and LTD(-)), capable of reproducing the frequency-, timing- and location-dependence of synaptic changes [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012295#pcbi.1012295.ref030" target="_blank">30</a>], into the existing <i>NeMo-TMS</i> framework. 128 of plastic excitatory synapses were placed in the morphology.</p>2025-11-25T18:42:03ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pcbi.1012295.g001https://figshare.com/articles/figure/Modelling_framework_for_TMS-induced_long-term_synaptic_plasticity_/30715013CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/307150132025-11-25T18:42:03Z |
| spellingShingle | Modelling framework for TMS-induced long-term synaptic plasticity. Nicholas Hananeia (22683665) Medicine Cell Biology Neuroscience Physiology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified results :</ b previous experimental studies objective :</ b methods :</ b like cellular effects conclusion :</ b background :</ b strongly distance dependent scale modeling tools repetitive magnetic stimulation biophysical neuronal models 1 hz protocols successfully modelled plasticity induced synaptic plasticity dependent plasticity model plasticity model dependent spatio scale modelling burst stimulation 5 hz plasticity amplitude distal plasticity term potentiation term changes temporal resolution temporal changes rms ). previously established parameter screening neurons stimulated neuronal dendrites modelling framework mechanisms behind low sensitivity high spatio fully understood detailed prediction dendritic spikes comprehensive module |
| status_str | publishedVersion |
| title | Modelling framework for TMS-induced long-term synaptic plasticity. |
| title_full | Modelling framework for TMS-induced long-term synaptic plasticity. |
| title_fullStr | Modelling framework for TMS-induced long-term synaptic plasticity. |
| title_full_unstemmed | Modelling framework for TMS-induced long-term synaptic plasticity. |
| title_short | Modelling framework for TMS-induced long-term synaptic plasticity. |
| title_sort | Modelling framework for TMS-induced long-term synaptic plasticity. |
| topic | Medicine Cell Biology Neuroscience Physiology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified results :</ b previous experimental studies objective :</ b methods :</ b like cellular effects conclusion :</ b background :</ b strongly distance dependent scale modeling tools repetitive magnetic stimulation biophysical neuronal models 1 hz protocols successfully modelled plasticity induced synaptic plasticity dependent plasticity model plasticity model dependent spatio scale modelling burst stimulation 5 hz plasticity amplitude distal plasticity term potentiation term changes temporal resolution temporal changes rms ). previously established parameter screening neurons stimulated neuronal dendrites modelling framework mechanisms behind low sensitivity high spatio fully understood detailed prediction dendritic spikes comprehensive module |