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Corticostriatal glutamate mechanisms underlying beta synchrony and motor deficits via striatal NMDA receptors in Parkinson's disease.

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Paper

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The authors' code

NEURON NMODL · 95 lines · 2 KB · no license

  1. COMMENT
  2. AMPA channel
  3. This is an adapted version of Exp2Syn.
  4. Adapted by Kevin M Biddell similar to as described by wolf et al 2006
  5. 4/21/07
  6. verified 3/29/2012
  7. [email hidden]
  9. Two state kinetic scheme synapse described by rise time tauon,
  10. and decay time constant tauoff. The normalized peak condunductance is 1.
  11. Decay time MUST be greater than rise time.
  13. The solution of A->G->bath with rate constants 1/tauon and 1/tauoff is
  14. A = a*exp(-t/tauon) and
  15. G = a*tau2/(tauoff-tauon)*(-exp(-t/tauon) + exp(-t/tauoff))
  16. where tauon < tauoff
  18. If tauoff-tauon -> 0 then we have a alphasynapse.
  19. and if tauon -> 0 then we have just single exponential decay.
  21. The factor is evaluated in the
  22. initial block such that an event of weight 1 generates a
  23. peak conductance of 1.
  25. Because the solution is a sum of exponentials, the
  26. coupled equations can be solved as a pair of independent equations
  27. by the more efficient cnexp method.
  29. ENDCOMMENT
  31. NEURON {
  32. POINT_PROCESS AMPAk
  33. RANGE tauon, tauoff, gAmax, gA, Erev, i,alpha_DA,beta_ampa
  34. NONSPECIFIC_CURRENT i
  35. GLOBAL total
  36. }
  38. UNITS {
  39. (nA) = (nanoamp)
  40. (mV) = (millivolt)
  41. (uS) = (microsiemens)
  42. (pS) = (picosiemens)
  43. }
  45. PARAMETER {
  46. Erev = 0 (mV) : reversal potential
  47. gAmax = 30 (pS) : maximal conductance fit ~5/07 by KMB
  48. tauon = 1.1 (ms)<1e-9,1e9>
  49. tauoff = 5.75 (ms)<1e-9,1e9>
  50. alpha_DA = 1 : [0,1]
  51. beta_ampa = -1
  52. }
  54. ASSIGNED {
  55. v (mV)
  56. i (nA)
  57. gA (uS)
  58. factor
  59. total (uS)
  60. }
  62. STATE {
  63. m (uS)
  64. h (uS)
  65. }
  67. INITIAL {
  68. LOCAL tp
  69. total = 0
  70. if (tauon/tauoff > .9999) {
  71. tauon = .9999*tauoff
  72. }
  73. m = 0
  74. h = 0
  75. tp = (tauon*tauoff)/(tauoff - tauon) * log(tauoff/tauon)
  76. factor = -exp(-tp/tauon) + exp(-tp/tauoff)
  77. factor = 1/factor
  78. }
  80. BREAKPOINT {
  81. SOLVE state METHOD cnexp
  82. gA = (1e-6)*gAmax*(h-m) : the 1e-6 is to convert pS to microSiemens
  83. i = (gA*(v - Erev))*(1+beta_ampa*(alpha_DA-0.8))
  84. }
  86. DERIVATIVE state {
  87. m' = -m/tauon
  88. h' = -h/tauoff
  89. }
  91. NET_RECEIVE(weight (uS)) {
  92. state_discontinuity(m, m + weight*factor)
  93. state_discontinuity(h, h + weight*factor)
  94. total = total+weight
  95. }

AMPAk.mod at commit b8d6b08, no license · at the source

Overview

Authors: Zirui Wang1,2, Xinyu Fan1, Yuting Zhao1, Wenting Su3,4, Xinxin Jiang1, Hao Huang1, Tong Xu1, Xiaoli Gong1, Yubo Zhang1, Yin Jiang5, Ting Zhang6, JJ Johannes Hjorth7, Alexander Kozlov7,2, Jeanette Hällgren Kotaleski7,2, Jun Jia1
ORCID iDs: Jun Jia
  1. Department of Physiology and Pathophysiology, Capital Medical University, Beijing 100069, China
  2. Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
  3. Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing 100069, China
  4. Laboratory for Clinical Medicine, Capital Medical University, Beijing 100069, China
  5. Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100071, China
  6. Department of Neurobiology, Center of Parkinson Disease Beijing Institute for Brain Disorders, Beijing Key Laboratory on Parkinson Disease, Key Laboratory for Neurodegenerative Disease of the Ministry of Education, Beijing Key Laboratory of Neural Regeneration and Repair, Capital Medical University, Beijing 100069, China
  7. Science for Life Laboratory, Department of Computational Science and Technology, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden
Institutions: Capital Medical University (China); Karolinska Institutet (Sweden); Beijing Institute for Brain Disorders (China); Science for Life Laboratory (Sweden); KTH Royal Institute of Technology (Sweden)
Journal: EBioMedicine, volume 131, article 106418
Dates: received 6 November 2025; accepted 21 July 2026; published online 11 August 2026; in print September 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1016/j.ebiom.2026.106418 · PMID 42580034 · PMCID PMC13487015 · OpenAlex W7202180703
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: EEG (modality), human (organism), rat (organism), Parkinson's (population)
Methods: Spectral & time-frequency, Preprocessing, Statistics, Connectivity, Evoked potentials, Single-unit activity, calcium imaging, fMRI & imaging
Keywords: Parkinson’s disease, Corticostriatal circuit, Beta oscillations, NMDA receptors, Motor deficits
MeSH: Beta Rhythm*, Corpus Striatum*, Glutamic Acid*, Parkinson Disease*, Receptors, N-Methyl-D-Aspartate*, Animals, Disease Models, Animal, Dopamine, Humans, Male, Medium Spiny Neurons, Oxidopamine, Rats (* major topic)
Topic: Neurological disorders and treatments (Neurology, Medicine), according to OpenAlex
Funding: Digital Futures; Natural Science Foundation of Beijing Municipality (7252213, 7242214); Vetenskapsrådet; Horizon 2020 Framework Programme (101147319, 945539); National Natural Science Foundation of China (32271173, 82371256); Swedish e-Science Research Centre; Science for Life Laboratory
Citations: not cited yet (Europe PMC); 56 references in the paper
Research resources: RRID:AB_10694086, mCherry RRID:AB_2716246, c-Fos RRID:AB_2905595, RRID:AB_572268

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Repository

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ziruiwang0836/striatum-microcircuit

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: b8d6b087ac4f679eee94dcde3912bf82479621eb, 20 August 2024
Languages: NEURON (50), Python (27), Jupyter (4)
Size: 122 files, 81 scripts
Software Heritage: archived
Found in: the text, “Simulation”
Holds: README, 4 notebooks
Not found: license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: NEURON (54 files), NumPy (23 files), Matplotlib (19 files), NEST Simulator (9 files), pandas (6 files), NetPyNE (5 files), SciPy (3 files)
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
82 files
At the source: github.com/ziruiwang0836/striatum-microcircuit

Tracing map

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  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 81 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

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Data availability statement

The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • it says that the data are available on request

Read it in the paper: doi.org/10.1016/j.ebiom.2026.106418.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 3, 28 September 2026

  • Authors: added Jun Jia (0000-0002-3801-9562); removed Jun Jia

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 15 authors, 5 keywords, 13 MeSH terms, 7 funders, 56 references, 4 RRIDs.

Cite

This paper

Wang, Z., Fan, X., Zhao, Y., Su, W., Jiang, X., Huang, H., Xu, T., Gong, X., Zhang, Y., Jiang, Y., Zhang, T., Hjorth, J. J., Kozlov, A., Kotaleski, J. H., & Jia, J. (2026). Corticostriatal glutamate mechanisms underlying beta synchrony and motor deficits via striatal NMDA receptors in Parkinson's disease. EBioMedicine, 131, 106418. https://doi.org/10.1016/j.ebiom.2026.106418

BibTeX

@article{wang2026corticostriatal,
author = {Wang, Zirui and Fan, Xinyu and Zhao, Yuting and Su, Wenting and Jiang, Xinxin and Huang, Hao and Xu, Tong and Gong, Xiaoli and Zhang, Yubo and Jiang, Yin and Zhang, Ting and Hjorth, JJ Johannes and Kozlov, Alexander and Kotaleski, Jeanette Hällgren and Jia, Jun},
title = {{Corticostriatal glutamate mechanisms underlying beta synchrony and motor deficits via striatal NMDA receptors in Parkinson's disease}},
journal = {EBioMedicine},
year = {2026},
month = aug,
volume = {131},
pages = {106418},
publisher = {Elsevier},
issn = {2352-3964},
doi = {10.1016/j.ebiom.2026.106418},
url = {https://doi.org/10.1016/j.ebiom.2026.106418},
pmid = {42580034},
pmcid = {PMC13487015}
}

RIS

TY - JOUR
AU - Wang, Zirui
AU - Fan, Xinyu
AU - Zhao, Yuting
AU - Su, Wenting
AU - Jiang, Xinxin
AU - Huang, Hao
AU - Xu, Tong
AU - Gong, Xiaoli
AU - Zhang, Yubo
AU - Jiang, Yin
AU - Zhang, Ting
AU - Hjorth, JJ Johannes
AU - Kozlov, Alexander
AU - Kotaleski, Jeanette Hällgren
AU - Jia, Jun
TI - Corticostriatal glutamate mechanisms underlying beta synchrony and motor deficits via striatal NMDA receptors in Parkinson's disease
T2 - EBioMedicine
J2 - eBioMedicine
PY - 2026
DA - 2026/08/11
VL - 131
SP - 106418
SN - 2352-3964
PB - Elsevier
DO - 10.1016/j.ebiom.2026.106418
UR - https://doi.org/10.1016/j.ebiom.2026.106418
LA - en
ER -

CSL-JSON

{
"id": "10.1016/j.ebiom.2026.106418",
"type": "article-journal",
"title": "Corticostriatal glutamate mechanisms underlying beta synchrony and motor deficits via striatal NMDA receptors in Parkinson's disease",
"container-title": "EBioMedicine",
"author": [
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"family": "Wang",
"given": "Zirui"
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{
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"family": "Huang",
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{
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{
"family": "Gong",
"given": "Xiaoli"
},
{
"family": "Zhang",
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{
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"PMCID": "PMC13487015",
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"issued": {
"date-parts": [
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11
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]
}
}

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